Ad Tech, Updates
Kashish

Study Reveals How to Rank in Google’s AI Overviews

Study Reveals How to Rank in Google’s AI Overviews

AI Overviews are AI-generated summaries that appear at the top of Google’s search results. They pull information from multiple sources to answer a user’s query directly, with source links shown alongside.

Instead of listing blue links like traditional SERPs, AIOs give a conversational answer on the left and display cited sources on the right. For publishers, getting featured here means unmatched visibility even if your page isn’t in the top 10 results.

Why Ranking in AI Overviews Matters

If your page is cited in an AI Overview, it’s the first thing users see above organic links, videos, and even featured snippets.

According to Surfer SEO and Ahrefs:

  • 52% of AIO citations come from the top 10 search results.
  • That means nearly half of citations are from outside the first page.

Translation? Even if you’re not ranking #1, you can still earn visibility at the very top.

What We Studied

To understand how publishers are getting cited in AIOs, we analyzed:

  • Ahrefs’ study of 300,000 keywords
  • Surfer SEO’s analysis of 405,000 AI Overview results
  • SE Ranking’s research on 100,000 keywords post-AIO rollout

We also included findings from our own optimization work with publisher clients.

11 Ways to Boost Your Chances of Getting Cited in AI Overviews

1. Add More Context to Your Articles

Google favors content that gives direct, well-structured answers in plain English. Only 5.4% of AIOs use exact-match keyword, meaning context matters more than phrasing.

What to do:

  • Answer queries fully and clearly, especially for informational topics.
  • Use Ahrefs to identify AIO-triggering keywords and build complete answers around them.
  • Supplement with questions from Google Autocomplete and People Also Ask.

2. Use Long-Tail Keywords

AI Overviews tend to show up for longer, specific queries not broad ones. Ahrefs found that AIOs trigger most often on 3–4 word phrases, like:

“can dogs eat cinnamon”
“best time to visit Iceland”

How to find them:

  • Explore “Questions” in keyword tools like AnswerThePublic.
  • Use Google’s Autocomplete suggestions for natural-sounding phrases.

3. Add Structured Markup (Schema)

Schema markup helps Google understand your page layout, topic, and context all of which are critical for AI systems.

 Recommended Schema:

  • FAQ schema → for question-answer content
  • Article schema → for blog posts
  • Breadcrumb schema → for clearer site structure

Implementing these can increase your chances of being cited or linked within an AIO.

4. Strengthen Your On-Page SEO

Strong traditional SEO still plays a role 52% of AI Overview sources come from pages ranked in the top 10.

Tips:

  • Use relevant keywords in H2s and subheadings
  • Write compelling meta descriptions
  • Align content with E-E-A-T best practices

5. Prioritize Low-Difficulty Keywords

Most AIO-triggering keywords have surprisingly low competition. Ahrefs puts their average keyword difficulty at just 12.

Strategy:

  • Use filters in Ahrefs or SEMrush to find informational queries with KD < 20.
  • These keywords may not bring massive traffic alone but they’re much easier to win.

6. Build Brand Credibility

AI Overviews tend to favor domains that are already trusted. If your brand has low visibility or authority, your chances drop.

We’ve seen strong results from:

  • Brands mentioned in major publications
  • Authors with real-world authority or credentials
  • Consistent positive presence across Reddit, Quora, and forums

Action Steps:

  • Invest in digital PR (not just link-building).
  • Monitor your brand mentions and sentiment across platforms.

7. Optimize for Mobile SEO

AIO visibility is mobile-first 81% of citations are from mobile-indexed pages.

Key mobile optimizations:

  • Responsive design that adjusts across screen sizes
  • Fast load times (use PageSpeed Insights)
  • Clean, scannable layouts with minimal clutter

8. Use Scannable Formatting

AI models prefer content that’s structured in a way machines and humans can parse quickly.

What works best:

  • Bulleted lists and numbered steps
  • Short paragraphs (2–3 lines max)
  • Clear H2s and H3s that match search intent
  • Visuals to break up long text (charts, screenshots, etc.)

9. Prioritize Simplicity

AI doesn’t reward complicated writing. The clearer your copy, the higher your chance of being cited.

Tip:

  • Use Hemingway or Grammarly to edit for clarity.
  • Aim for an 8th-grade reading level or below especially on info-first topics.

10. Build High-Quality Backlinks

Authoritative links still influence whether your content is trusted and whether it’s selected for citation.

Tactics:

  • Run guest post campaigns targeting niche sites with real audiences.
  • Use link-building tools to find broken link opportunities in your niche.
  • Build deep links to specific content pages not just your homepage.

11. Keep Content Fresh and Updated

Google favors up-to-date information, especially for topics that evolve.

Maintain content relevance by:

  • Adding the current year to titles (when appropriate)
  • Refreshing stats, screenshots, and references every 3–6 months
  • Republishing with updated publish dates when relevant

Do AI Overviews Affect Traditional SEO?

Yes. AIOs shift the SEO game from ranking to citation. You might still rank #1 and get less traffic if the Overview pulls an answer from somewhere else. On the flip side, even if you rank #8, you might be the only source linked in the AIO and your traffic jumps.

Need Help Optimizing for AI Overviews?

Ranking in Google’s AI Overviews isn’t about tricking algorithms, it’s about making your content easy to cite, scan, and trust. At MagicBid, we work with publishers to structure, simplify, and optimize content so it performs in both traditional SERPs and AI-powered results.

You can reach out to us at support@magicbid.ai for a quick review of your site’s AI visibility potential or to get help implementing these strategies.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Ad Tech, Updates
Kashish

What Google’s Latest Search Event Tells Us About SEO in the AI Era

What Google’s Latest Search Event Tells Us About SEO in the AI Era

Search is changing fast and at the 2025 Search Central Live Deep Dive in Bangkok, Google made it clear: if you’re still relying on the same SEO tactics from five years ago, you’re falling behind.

Crawling, indexing, and serving remain the backbone of how Google Search functions and as outlined in Google’s official event recap, this year’s event opened with a sharp focus on the first stage: crawling.

But this wasn’t just a technical deep dive. It was a clear wake-up call for SEOs and publishers trying to stay visible in a search landscape increasingly driven by AI, voice and image searches, and new user habits.

Search Is Changing Fast

Google’s own leadership isn’t mincing words.

Mike Jittivanich, Director of Marketing for South East Asia and South Asia Frontier, opened the conference by laying out three major forces reshaping search:

1. AI innovation at the core  

AI is now a foundational part of how search works comparable in impact to the rise of mobile or social media.

2. Changing user behavior  

People expect instant, conversational, visual answers not just long lists of links.

3. Gen Z’s unique habits  

Younger users interact with search in entirely new ways, often skipping the traditional search bar. Together, these shifts mean the old playbook isn’t enough anymore. Ranking on Google is still important but being selected by AI features like Overviews or Lens is the new goal.

Human Content Still Ranks Best

Across multiple sessions, Google’s speakers reinforced one core principle:

Google’s ranking algorithms learn from human-created content not AI-generated text.

According to Gary Illyes, Google’s ranking models are trained only on the highest-quality content in the index, and that’s clearly the content made by real people, not machines.

What this means:

  1. Keep building human‑focused content. Google’s models favor natural, expert writing above all.

  2. Optimize for multiple modalities. Make sure images have descriptive alt text, videos have transcripts, and voice search is supported by conversational language.

  3. Monitor crawl budget. Fix 5XX errors promptly and streamline your site’s structure to guide Googlebot efficiently.

  4. Use Search Console recommendations. Non‑expert site owners can benefit from the guided suggestions feature to improve usability and performance.

  5. Stay flexible. Long‑held traffic trends may shift as AI features grow. Past success does not equal future success.

How Gen Z Searches Differently

One of the most surprising data points came from a session on generational trends: Gen Z is now the fastest-growing search demographic.

Here’s how their behavior is different:

  • 65% YoY growth in Google Lens usage
  • Over 100 billion Lens searches so far in 2025
  • 1 in 5 Lens searches have commercial intent
  • Around 10% of Gen Z search journeys begin with Circle to Search or another AI tool, not a typed query

For SEOs, this means your strategy can’t focus only on keyword targeting and blue links. You need to optimize for images, voice, and multimodal queries.

That includes:

  • Adding descriptive alt text to every image
  • Making sure video transcripts are available
  • Using conversational phrasing to support voice-based search

How AI Is Changing the Crawling Process

Crawling might seem like a technical backend issue but it’s now being reshaped by AI too. Two sessions offered new details:

1. AI is increasing crawl rates  

Googlebot is adapting to new AI-powered features, which can lead to more frequent crawls. But higher crawl rate does not mean better ranking.

2. Crawl budget still matters  

Your crawl budget is determined by two things:

  • Crawl rate limit: How quickly Googlebot is allowed to crawl your site
  • Crawl demand: How much Googlebot wants to crawl your pages

If your site has a lot of broken links or returns frequent server errors, Google will deprioritize your pages even if they’re important.

Fix these issues to maintain crawl efficiency:

  • Resolve all 5XX errors (they consume crawl budget)
  • 4XX errors don’t hurt crawl budget, but can affect crawl scheduling
  • Clean up broken links and improve server response time
  • Submit a clean, updated sitemap

AI Features Use the Same Search Systems

It’s easy to think that AI Mode and AI Overviews are completely separate products but they’re not.

AI features run on the same crawl → index → serve pipeline that SEOs already optimize for.

Here’s how the process works for every page, whether it ends up in blue links or in an AI Overview:

  • Googlebot crawls the page
  • HTML is parsed and rendered
  • Statistical models like BERT, RankBrain, and MUM analyze the content
  • Spam filters and deduplication systems run
  • Final ranking and result formatting happen during serving

So if you’re already building strong content that ranks in traditional search, you’re in a good place. AI answers just represent a new format, not a new system.

LLMs.txt Is Not Something Google Uses

There’s been some buzz around LLMs.txt, a proposed new standard to help site owners control how AI models crawl their content. At the conference, Gary Illyes and Amir Taboul clarified Google’s stance:

Google does not support LLMs.txt

Robots.txt remains the official method to control access.

If you want to block AI-specific crawlers, you can add rules to your robots.txt file. But keep in mind not all crawlers will honor these rules.

Google Search Is Evolving in Two Directions

Throughout the event, Google made it clear that Search is expanding in both input and output.

1. The kinds of questions users ask  

  • Queries are becoming longer and more conversational
  • 5+ word queries are growing 1.5X faster than shorter ones
  • Users now regularly use images, voice, and AI tools as entry points

2. The types of answers Google delivers  

  • AI Overviews: Provide balanced summaries when there’s no one right answer
  • AI Mode: Offers fully generated experiences for things like travel planning, shopping, or recipes
  • DeepMind’s reasoning models are being used to blend text, images, and step-by-step instructions

To rank across all formats, your content should be structured, concise, and optimized for action just like traditional SEO, but adapted for new display formats.

Search Console Insights for AI Search and Crawling

Daniel Waisberg wrapped up the day with a deep dive into how to use Search Console effectively in this new AI-driven landscape.

Here are some of the top points:

1. Understand data timing  

  • Finalized data is usually two days old, based on Pacific Time
  • Partial data can appear earlier but might change

2. Feature lifecycle  

New Search Console features follow a predictable path:

  • User need → data availability → design → testing → launch

This helps explain why some AI-related performance data may lag.

3. Recommendations tab  

If you’re not an SEO expert, this tool suggests actionable improvements without needing deep technical knowledge.

For example, it might recommend improving mobile usability or fixing slow-loading pages both of which can affect eligibility for AI Mode display.

Search Is Getting Smarter But So Can You

If Search Central Live 2025 had a single theme, it was this: The core principles of SEO still matter, but the way users interact with Search is changing fast.

  • Stay human-first
  • Stay technically sound
  • Stay flexible as new formats emerge

Whether it’s fixing crawl issues, structuring content better, or tracking AI features in Search Console, the opportunities are there but only if you’re adapting with them.

Is Your Monetization Setup Ready for AI-Driven Traffic?

AI Overviews, voice, and visual search are changing how users land on your site and that affects how your ads perform. MagicBid helps publishers adapt with full-stack monetization across Web, App, and CTV. If your CPMs are dipping or traffic is shifting, Reach out to us at support@magicbi.ai

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Kashish

5 Advanced Google Ad Manager Strategies to Boost Your Ad Performance

5 Advanced Google Ad Manager Strategies to Boost Your Ad Performance

Google Ad Manager (GAM) is one of the most powerful tools a publisher can use to manage, serve, and optimize ads across web, app, and video inventory. But getting it up and running is only the beginning. To truly scale your revenue and outpace the competition, you need to go beyond the basics.

Here are 5 advanced Google Ad Manager strategies you can start implementing today to increase ad performance, improve fill rates, and maximize the value of your programmatic inventory.

1. Set Up Unified Auctions (Header Bidding + Open Bidding Together)

If you’re still running Prebid.js and Open Bidding separately, you’re leaving money on the table.

The strategy: Unify your header bidding (Prebid) and Google’s Open Bidding into a single auction within Google Ad Manager. This gives you stronger competition, more demand per impression, and often better CPMs.

Why it works:
Google Ad Manager runs a unified auction model, so when you configure both header bidding and Open Bidding correctly in your line items, they all get a fair chance to win instead of Open Bidding being treated as a passive participant.

How to do it:

  • Use key-values to pass bid info from Prebid.js into GAM.
  • Set identical priority (usually Price Priority or Line Item Type: “Header Bidding”) for all your competing demand sources.
  • Double-check line item CPMs to match bid floors accurately.

Pro tip: Avoid over-prioritizing Open Bidding partners. Let real-time competition decide the winner.

2. Use Dynamic Ad Refresh with Viewability Triggers

Refreshing ads can increase your overall impressions and revenue but doing it wrong can ruin user experience and violate Google policies.

The strategy: Implement viewability-based dynamic ad refresh — refresh an ad unit only after it’s been viewable for a certain amount of time (e.g., 30 seconds), and only when the user is still actively engaged.

Why it works:
This aligns with Google Ad Manager’s best practices and keeps your inventory attractive to buyers in the programmatic advertising ecosystem.

How to do it:

  • Set a googletag.pubads().refresh() trigger using IntersectionObserver.
  • Wait for 30+ seconds of viewable time before calling refresh.
  • Avoid refreshing if the tab is inactive or the user has scrolled away.

Bonus tip: Combine this with lazy loading for faster page loads and better Core Web Vitals.

3. Target by Device, Geo, and Viewability Score Not Just Page

Most publishers rely on basic targeting: URL, category, or content type. But Google Ad Manager allows much more detailed targeting which can lead to higher CPMs, better fill rates, and stronger campaign performance.

The strategy: Use Custom Targeting to build inventory segments based on:

  • Device type (desktop, mobile, tablet)
  • Geo-location (country, region, city)
  • Viewability score thresholds (using Active View data)

Why it works:
You can create PMP (Private Marketplace) deals or line items tailored to high-value segments. For example, mobile users in Tier 1 countries with high viewability scores often fetch much better rates in programmatic advertising.

How to do it:

  • Set custom key-values in your ad tags (e.g., geo=US, device=mobile, viewability=high).
  • Use report data to identify segments with high CTR or CPM.
  • Clone your best-performing line items and target them only to these refined audiences.

Pro tip: Monitor overlap and frequency too many overlapping line items can affect ad delivery.

4. Set Floor Prices Strategically by Geography and Demand Source

One of the most overlooked features in Google Ad Manager is the ability to set different floor prices for different parts of your inventory. Most publishers stick to a single price across everything, a huge mistake.

The strategy: Set different CPM floors based on:

  • Geography (e.g., $0.50 floor in India, $2.00 in the US)
  • Device (mobile vs desktop)
  • Demand partner (via key-values or yield groups)

Why it works:
Buyers bid differently depending on where the traffic comes from and what device it’s on. Segmenting your floor pricing ensures you’re not underpricing premium traffic or overpricing less valuable segments.

How to do it:

  • Use “Pricing Rules” in Google Ad Manager.
  • Create yield groups for different partner types (e.g., DSPs, ad networks).
  • Use historical CPM data to set floors that match bid behavior in each region or segment.

Bonus tip: Monitor floor rejection rates in Ad Manager reports. If rejection is high, your floors may be too aggressive.

5. Leverage Ad Manager Experiments to Test Everything

One of the most underused advanced features of Google Ad Manager is Experiments.

The strategy: Run controlled A/B tests to validate what actually improves performance instead of guessing.

You can test things like:

  • Different creative formats (e.g., 300×250 vs. 336×280)
  • Pricing floors (e.g., $1.50 vs. $2.00)
  • Ad refresh intervals (e.g., 30s vs. 60s)
  • Line item priority types (Standard vs. Price Priority)

Why it works:
Experiments let you isolate a variable, compare performance, and apply changes based on real results not assumptions.

How to do it:

  • In GAM, go to Delivery > Experiments.
  • Set your control and variant line items.
  • Choose a metric (e.g., revenue, impressions, CTR) and a test duration.

Pro tip: Run tests for at least 7 days to account for fluctuations. Only test one change at a time to see what’s really working.

Google Ad Manager is a deep and complex platform, but it rewards publishers who dig a little deeper. Once your basics are in place, these advanced strategies can push your performance further without requiring risky hacks or third-party plugins.

From better segmentation to smarter refresh, these tactics help you get the most out of your inventory all while staying compliant and scalable. Remember, programmatic advertising success isn’t just about the tech. It’s about testing, learning, and adapting your setup continuously.

If you’re unsure whether your GAM setup is optimized, we can help you audit and refine it from line item structure to price floors.

Need help improving ad performance with Google Ad Manager?
Email us at support@magicbid.ai we’ll review your setup and help you scale.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Kashish

Google’s Invalid Traffic Deductions Explained

Google’s Invalid Traffic Deductions Explained

You check your ADX reports, and everything seems in order stable traffic, consistent clicks, no major red flags. But when your earnings are finalized, the payout is lower than expected. It’s frustrating, especially when there’s no clear explanation in your dashboard.

Many publishers in this situation are left asking: why is Google removing revenue after the month ends? And how do I know if invalid traffic is the real cause?

In this blog, we’ll break down the three points when Google deducts revenue due to invalid activity, how those deductions appear in your account, and what steps you can take to minimize the impact going forward.  

Why Google Doesn’t Show You Exact Invalid Activity Data

To protect the integrity of its invalid traffic detection systems, Google doesn’t disclose exactly where invalid traffic came from, how much was deducted from which pages, or who caused it. This lack of transparency can be frustrating but it’s designed to prevent abuse of the system by bad actors.

Instead, what you get is a summary in your Transactions page and a few indirect signals in your reports.

3 Stages of ADX Invalid Activity Deductions

There are three different stages when Google can deduct earnings tied to invalid activity and not all of them are visible in real-time.

Let’s break them down:

1. Real-Time Filtering (Happens Instantly, But You Don’t See It)

If you check your ADX reports often, you might see strange jumps or dips in revenue during the day. That’s because Google automatically filters out obvious invalid activity in real time things like:

  • Bot crawlers
  • Accidental double clicks
  • Click spamming or sabotage

These earnings never make it to your finalized reports, which is why you might see fluctuations that seem to disappear later.

2. Finalization Deductions (At the End of the Month)

The earnings you see during the month in ADX are only estimates not your final payout. At the end of each month, Google runs a final verification process to confirm how much of your revenue is actually valid. This includes:

  • Catching any invalid clicks or impressions that slipped through earlier
  • Adjusting for rounding errors or reporting delays
  • Confirming the final amount that will be paid

If any part of your estimated earnings is flagged during this review, it’s removed and listed as “Invalid Activity” on your Transactions page. Advertisers are also refunded for those clicks which means that portion of revenue won’t be paid to you.

Google’s official help page confirms how these deductions work.

3. Post-Payment Adjustments (Within 60 Days After You’ve Been Paid)

Source: Google’s official Help Center

Even after your payment is sent, Google may still detect fraudulent or invalid clicks.

If this happens, they’ll:

  • Subtract the amount from your next payout
  • Add a line item on your “Transactions” page under Invalid Activity
You don’t need to send money back, but your future earnings will be adjusted to account for it. It may even look like you owe a balance which can be alarming at first, but it simply means your next payment will be lower.

What You Can Do as a Publisher

Even though you can’t see exactly what triggered invalid activity deductions, there are steps you can take to minimize them:

Review Traffic Quality

Check your referral sources in Google Analytics or your monetization dashboard. Watch for:

  • Sudden traffic spikes
  • High bounce rates or 1-second sessions
  • Geo-locations or devices you don’t normally attract

Block Suspicious Sources

Use tools or built-in blocking features in ADX, GAM, or your SSPs to limit:

  • Bot traffic
  • Proxy/VPN traffic
  • Poor-quality arbitrage sources

Avoid Aggressive Ad Placements

Don’t encourage accidental clicks. Avoid:

  • Sticky auto-ads near nav buttons
  • Ads disguised as content
  • Excessive popups

Report Suspicious Activity

If you believe your traffic is being sabotaged or attacked with fake clicks:

  • Use Google’s Invalid Clicks Contact Form (for ADX)
  • Or report through AdMob if you’re an app publisher

Tools to Help You Stay Ahead

While Google won’t share exactly which clicks were invalid, you can still reduce risk using other available trusted tools like Pixalate or Fraudlogix, which help identify patterns of non-human or fraudulent traffic.

MagicBid also offers it’s own tool called MagicShield, a built-in fraud protection layer that filters out invalid traffic before it reaches your demand stack.

MagicShield uses prebid and postbid validation, real-time risk scoring, signature checks, and device fingerprinting to keep your setup compliant and trustworthy. It works across web, app, and CTV helping publishers prevent deductions before they happen.

What to Remember

Google won’t tell you exactly what traffic was invalid and yes, that makes this harder to fix. But understanding when deductions happen, how they appear in your reports, and what patterns to look for gives you an edge.

If you’re seeing revenue drops, fluctuating reports, or regular “Invalid Activity” line items, it’s time to audit your traffic and strengthen your setup.

Need help auditing your invalid traffic risk?

We work with high-traffic publishers to improve revenue quality, detect suspicious traffic early, and reduce deductions at the source. Reach out to us a support@magicbid.ai

FAQ

Look for “Invalid Activity” line items in your Transactions page or sudden mismatches between estimated and finalized earnings. You may also notice unusual traffic patterns in Analytics or spikes from low-quality referral sources.

No. Deductions are automatic adjustments for invalid traffic. Policy violations, on the other hand, may result in warnings, limited ad serving, or even account suspension and usually come with a message in Policy Center.

Yes. Click bombing or malicious traffic attacks can trigger deductions even if you didn’t generate them. While you can’t control everything, tools like MagicShield, Pixalate, or Fraudlogix help detect and block suspicious patterns before they impact earnings.

In most cases, no. Google’s systems are automated and final. You can report suspected sabotage through the Invalid Clicks Contact Form but refunds to advertisers usually mean the revenue is permanently lost.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Kashish

How Ad Blockers Are Affecting Your Programmatic Setup & How to Fix It

How Ad Blockers Are Affecting Your Programmatic Setup & How to Fix It

As ad blockers continue to grow in popularity, their impact on programmatic ad revenue is becoming harder to ignore. It’s not just about ads not showing it’s about auctions running without delivery, header bidding containers getting blocked, and eCPMs dropping as a result. And often, publishers don’t realize the full extent of this damage until revenue trends start to dip.

In this blog, we’ll break down advanced, actionable steps to help you reduce the impact of ad blockers and protect your monetization setup.

The Real Impact of Ad Blockers on Programmatic Ads

It’s no secret that ad blockers are reducing the volume of ad impressions served, but what most publishers don’t realize is just how much revenue leakage they’re experiencing in real-time. The real cost of ad blockers is not just in missing ads but in missed optimization opportunities.

1. Ad Blockers Lower Your CPMs

While ad blockers reduce the number of served impressions, they also affect your effective CPM (eCPM).

When fewer ads are served, the demand for available inventory increases. This can cause lower fill rates across demand sources, resulting in lower CPMs for impressions that are actually served.

Essentially, a 100% fill rate with lower CPMs is less valuable than a 50% fill rate with higher CPMs, making eCPM optimization critical.

2. You Win the Auction, But the Ad Gets Blocked

In a typical programmatic auction, multiple buyers compete for the same impression. Ad blockers disrupt this process by blocking the ads before they even enter the auction, leaving you with fewer and less valuable impressions. The auction still runs, but with fewer opportunities to generate high revenue.  

3. Header Bidding Doesn’t Load with Ad Blockers

For publishers using header bidding to increase ad revenue, ad blockers can block header bidding containers, which are crucial for increasing competition and ad yield. Ad blockers often prevent these containers from loading, making header bidding setups less effective. To fix this, it’s important to understand how ad blockers interact with your header bidding setup and adjust accordingly.

Advanced Strategies to Combat the Impact of Ad Blockers

Now, let’s get into specific, actionable strategies to reduce the impact of ad blockers on your programmatic setup.

1. Leverage Server-to-Server Header Bidding

For publishers using header bidding, server-to-server (S2S) header bidding is a powerful tool to bypass ad blockers. Since ad blockers often target JavaScript calls made by the browser to load bids, S2S bypasses these restrictions by conducting the auction and delivering the ad request directly from the server.

By using S2S header bidding, you’re reducing the impact of ad blockers by executing the auction process on the backend where ad blockers don’t have access.

Key Action:  

  • Implement an S2S header bidding solution to ensure that ad requests continue to go through even when the client-side setup is blocked.

  • Integrate with multiple SSPs (Supply-Side Platforms) that support S2S bidding to diversify demand.

2. Maximize Revenue with First-Party Data

First-party data offers a tremendous opportunity to fight back against the loss of impressions. Ad blockers typically target third-party trackers, but they can’t block first-party data collection.

By increasing your reliance on first-party data, you can ensure that your ad setups retain the same level of relevance and targeting while bypassing the restrictions imposed by ad blockers.

Key Action:  

  • Use your first-party data (user behavior, interests, etc.) to inform your targeting and optimize ad placements, ensuring you can deliver relevant ads despite ad blockers.
  • Consider integrating data clean rooms for even more powerful audience insights and secure data sharing across multiple demand sources.

3. Use Native Ads and Custom Ad Formats

While many publishers are familiar with native ads as a workaround, most don’t realize just how effective custom ad formats can be at bypassing ad blockers.

Unlike standard display ads, native ads blend into the content, making them far less likely to be flagged. Beyond native ads, custom ad formats such as rewarded video or offerwall ads can also be utilized.

These formats provide a non-intrusive ad experience that aligns with user behavior, making it more difficult for ad blockers to target them.

Key Action:  

  • Develop and test custom native ad placements tailored to your content.
  • If using video ads, consider integrating rewarded video ads into your monetization strategy to maximize engagement without triggering blockers.
  • Leverage offerwalls in-app or on-site, which are difficult for ad blockers to detect due to their interactive nature.

4. Implement Ad Blocker Detection Tools with Smart Monetization

Rather than simply blocking users who use ad blockers, implement ad blocker detection that allows you to adjust monetization based on the user’s behavior.

For example, a user with an ad blocker could be served less intrusive, non-blockable ads (native, in-text ads, etc.) while users without ad blockers continue to see your traditional programmatic ads.

Key Action:  

  • Use tools like Blockthrough to detect ad blockers and serve alternative ad formats to users who have them enabled.
  • Optimize the monetization setup by automatically switching to ad-light experiences when ad blockers are detected.

5. Diversify Demand Sources

Relying on a single demand source (such as Google AdSense or an individual SSP) can expose your programmatic ads to greater risks from ad blockers. By diversifying your demand sources, you ensure that when one channel is blocked, others remain available.

More importantly, having multiple demand sources allows you to optimize fill rates and CPMs by comparing and selecting the highest-performing sources.

Key Action:  

  • Integrate multiple SSPs and ad networks with varying demand characteristics to reduce the risks of ad blockers affecting all demand channels simultaneously.
  • Use an unified auction setup to ensure that every impression is served through the most lucrative demand source.

6. Monitor and Audit Ad Performance

As ad blockers evolve, so do their tactics. To keep up with the shifting landscape, it’s essential to continuously audit your ad performance and adjust your programmatic setup accordingly.

Monitoring fill rates, CPMs, and user engagement across various demand sources will help you identify any sudden changes caused by ad blockers.

Key Action:  

  • Use real-time analytics to monitor the performance of ads and track how ad blockers are impacting your programmatic setup.
  • Set up custom alerts within your ad management platform to notify you when fill rates drop unexpectedly, so you can react quickly.

The Future of Ad Blockers and Programmatic Ads

As ad blockers continue to evolve, the future of programmatic ads depends on how quickly publishers can adapt. Leveraging advanced solutions like server-side bidding, first-party data, and non-intrusive ad formats will become increasingly essential in maintaining programmatic revenue.

Publishers who take a proactive, strategic approach to ad revenue optimization will be better positioned to thrive, even in the face of growing ad-blocking technology.

Looking Ahead

Ad blockers are affecting your programmatic ads setup, but with the right strategies in place, you can mitigate their impact. By adopting server-to-server header bidding, leveraging first-party data, and diversifying your demand sources, you can ensure that your programmatic ads continue to generate revenue despite the challenges posed by ad blockers.

Remember, the key to thriving in this environment is adaptability. Constantly refine your ad setup, test new ad formats, and monitor performance to stay ahead of the curve. As long as you’re taking a strategic, multi-faceted approach to monetization, you can continue to optimize your revenue and overcome the obstacles presented by ad blockers.

If you need help optimizing your programmatic setup, please reach out to us at support@magicbid.ai. We’re here to assist you every step of the way.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Ad Tech
Kashish

8 Ad Placement Mistakes That Can Trigger Policy Violations

8 Ad Placement Mistakes That Can Trigger Policy Violations

When it comes to monetizing your website, ad placement can make or break your revenue and your account. Even a single misstep in where you put ads can lead to Google AdSense policy violations, revenue clawbacks, or worse, an account suspension.

Here are the most common ad placement mistakes that can lead to policy violations and how to fix them before enforcement actions hit your account.

1. Ads Too Close to Clickable Elements

One of the most frequent mistakes is placing ads too close to buttons, menus, navigation bars, or other clickable areas especially on mobile. This can lead to accidental clicks, which Google considers invalid traffic.

If your site is getting a high click-through rate (CTR) but low session time or conversions, this could be a red flag.

Fix it: Always leave enough spacing around ads. On mobile, this means ensuring users can scroll or click without accidentally tapping an ad.

2. Floating or Sticky Ads That Obstruct Content

Sticky banners or interstitials that hover over page content especially on mobile often violate Google’s Better Ads Standards and AdSense guidelines. If users can’t easily dismiss the ad or if it hides important content, it’s a problem.

Fix it: Use sticky units carefully, make sure they don’t block important site parts, and always provide a clear close button. Review Google’s ad experience report to stay within the rules.

3. Ads Placed Inside Dropdowns or Expanding Menus

Some publishers try to boost viewability by hiding ads inside interactive site elements like dropdowns, accordions, or slide-in tabs. This creates a misleading ad experience and violates Google AdSense policy on tricking users with ad placement.

Fix it: Never insert ads inside hidden or expandable content. Ads must always be clearly visible and separate from navigation or features.

4. Ads Disguised as Content

Using native-style ads or custom styling that looks like your real content without proper labeling can quickly land you in violation territory. If users can’t tell the difference between your content and the ad, Google sees this as misleading.

Fix it: Always use clear labels like “Advertisement” or “Sponsored” above ad units. Avoid matching fonts, colors, and styling too closely with your content.

5. Ads on 404 Pages, Thank You Pages, or No-Content Pages

Google clearly says not to place ads on pages with little or no value, including error pages, “thank you for submitting” confirmations, or placeholder pages.

Even if the ad unit technically loads, it’s a rule violation to monetize pages without useful content.

Fix it: Block ad tags from loading on these page types. Most ad servers (including Google Ad Manager) allow custom ad settings based on URL or page type.

6. Multiple Ads Above the Fold (Especially on Mobile)

Stacking too many ad units at the top of the page especially on mobile can lead to poor user experience and violations under Google’s Page Layout Algorithm. It also increases the risk of accidental clicks, which could be flagged as invalid traffic.

Fix it: Limit yourself to one ad unit above the fold, particularly on mobile. Prioritize lazy-loading ads below the fold and keep your layout user-first.

7. Interfering with Core Web Vitals

Slow-loading ads, intrusive placements, or layout shifts caused by ad units can harm your Core Web Vitals which Google uses to assess both user experience and ad quality. If your CLS (Cumulative Layout Shift) is too high, it could lead to policy warnings or serve limits.

Fix it: Use fixed-size ad containers to prevent layout shifts. Avoid inserting ads without setting space aside, and test your site using PageSpeed Insights or Lighthouse.

8. Incentivizing Ad Clicks or Impressions

Offering users a reward, benefit, or exclusive access in exchange for clicking on an ad is a direct violation of Google AdSense policy. Even small hints like telling users to “check out our sponsors” can lead to penalties.

Fix it: Keep your ad messaging neutral. Train your content and support teams not to push for clicks, and avoid language that suggests users get something for engaging with ads.

Google Doesn’t Always Warn You

Many publishers assume Google will send a warning before taking enforcement action but that’s not always the case. If your ad placements are flagged as deceptive, intrusive, or policy violating, you could be hit with:

  • Revenue clawbacks for invalid traffic
  • Ad serving limits (especially if you’re using AdSense or AdX)
  • Full account suspension or ban

And once your reputation is damaged, recovering trust (and demand) can take months.

How to Stay Compliant (and Still Optimize Revenue)

Avoiding violations doesn’t mean playing it too safe. You can still optimize for high ad placement performance without crossing the line. Here’s how:

  • Run regular audits: Use tools like Google’s Ad Experience Report and Lighthouse to flag problem areas.
  • Review AdSense and AdX policies quarterly: They change more often than you think.
  • Work with a monetization partner: A trusted partner can help monitor for compliance while scaling your revenue across networks.

Smart ad placement is about balance: maximizing revenue without compromising compliance.

By steering clear of these 8 common mistakes, you’ll not only avoid costly Google AdSense policy violations you’ll also deliver a cleaner, more user-friendly experience that attracts better demand.

If you’re unsure about your current setup, now’s the time to review and adjust. A single misstep can cost you thousands but the right placements can set your revenue on a growth curve.

Worried About Ad Placement Violations?

Reach out to us at support@magicbid.ai We’ll audit your setup and help you fix what’s holding you back.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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offer wall ads
Kashish

Offerwall Ads in GAM: A Smarter Way to Monetize Engaged Web Users

offer wall ads

Offerwall Ads in GAM: A Smarter Way to Monetize Engaged Web Users

If you’re relying solely on traditional banner or interstitial ads, you might be missing out on one of the most performance-driven monetization formats offerwall ads.

Offerwalls are already powering major revenue gains for apps, and now they’re making their way into the web ecosystem including Google Ad Manager (GAM). The good news? You can activate them on your site without disrupting user experience or core revenue flows.

In this post, we’ll cover what offerwall ads are, how they work on the web, and how you can implement them effectively.

What Are Offerwall Ads?

Offerwall ads are full-screen placements that present users with a set of “offers” or tasks they can complete to gain access to gated content. These offers typically include:

  • Watching a rewarded video ad
  • Answering a quick survey
  • Choosing interest categories
  • Subscribing to a newsletter
  • Or making a small payment

Unlike traditional ads that interrupt the user experience, offerwalls invite users to opt in. That means higher engagement, more meaningful user actions, and in many cases, higher revenue per interaction.

These formats have been popular in mobile apps and gaming platforms, but with Google Ad Manager’s recent updates, they can now be integrated natively into websites as well.

Why Publishers Are Turning to Offerwalls

Offerwall ads can outperform traditional display ads in a few key ways:

  • Better engagement: Users actively choose to interact, rather than passively view.
  • Monetize gated content: Ideal for sites with premium content, tools, or utilities.
  • Higher effective CPMs: Since advertisers only pay when users complete a task, payouts can be more generous.
  • More control: You decide when and how the offerwall appears on entry, after a few pageviews, or as a fallback when no ads are available.

Offerwalls are especially effective on:

  • Gaming and entertainment websites
  • Online tools and utilities (e.g., calculators, converters)
  • Job boards or classified sites
  • Niche content portals with high bounce traffic

How Offerwall Ads Work in GAM

Google Ad Manager allows you to show offerwall style messages to users who aren’t signed in or haven’t subscribed. These messages aren’t traditional ads; they’re access prompts with built-in monetization options. You control where and when they appear, and what kind of choices are shown.

Here are the main user choices you can enable in your offerwall messages through GAM:

1. Rewarded Ad 

Users watch a short video ad to gain access to content. This option is turned on by default and monetized through Ad Exchange or other GAM demand.

2. Interest Capture  

Users select a few interest categories from a dynamically generated list. It’s a non-monetary choice that can help you personalize content or offers later.

3. Supertab.co (3rd Party)  

Users can pay a small fee to unlock content for a set time period. This option integrates with the Supertab.co platform and requires a separate account.

4. Custom Choice  

You can implement your own choice such as prompting users to sign in, subscribe, or engage with another owned monetization method.

You can choose to display any combination of these in your offerwall. The message only appears when a user hits the access barrier you’ve defined.

Setting Up Offerwall Ads in Google Ad Manager

Offerwalls can be implemented in Google Ad Manager using the Privacy & Messaging feature, specifically via Offerwall messages (currently in beta for some accounts).

Setup is flexible:

  • You choose where and when the offerwall appears
  • You decide which user choices to include
  • You can control frequency caps and page targeting
  • You customize messaging and branding

Offerwalls can be shown on specific pages only and to specific users giving you full control over how and when they appear. You don’t need to show them site wide or to every visitor. That makes them ideal for layered monetization strategies.

Tips for Better Performance

Here are a few best practices we’ve seen work across publishers:

  • Test different triggers: Try gating based on time-on-site, scroll depth, or number of article views.
  • Keep the message clear: Explain exactly what the user will get after completing an action.
  • Limit appearance frequency: Don’t show the offerwall every session — users may ignore it if it feels repetitive.
  • Use fallback ads: If a rewarded ad isn’t available, offer another choice like Interest Capture or Custom.

Offerwall Ads vs Paywalls: What’s the Difference?

While offerwalls and paywalls both gate content, offerwalls provide a more flexible and ad-friendly approach. Users don’t have to pay they can engage with ads or other actions instead. That makes offerwalls a better fit for publishers who want to balance monetization with free access.

Paywalls work best for premium content with loyal readers. Offerwalls work best for casual traffic, especially when bounce rates are high or content is utility-based.

Need Help Setting It Up?

Setting up offerwall messages in GAM can be straightforward but optimizing them for maximum revenue takes testing, iteration, and demand strategy.

At MagicBid, we help publishers implement, test, and monetize offerwall formats across web and app with full support for rewarded ads, fallback logic, and GAM integrations.

Whether you want to gate a tool, monetize high-bounce visitors, or just explore new revenue streams, we can help you configure and manage it all within your existing setup.

Want to setup offerwall ads on your site? Contact us at support@magicbid.ai for setup consultation.

FAQ

You can create offerwall messages in a wide variety of languages. The user’s device settings determine which language version is shown. However, you are responsible for ensuring your translations are accurate and appropriate.

Supported languages include:
Arabic, Bangla, Bulgarian, Chinese (Simplified and Traditional), Croatian, Czech, Danish, Dutch, English (UK & US), Estonian, Filipino, Finnish, French, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Marathi, Norwegian, Persian, Polish, Portuguese (Brazil & Portugal), Romanian, Russian, Sinhala, Slovak, Slovenian, Spanish (incl. Latin America), Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese.

Note: Some languages may be available only for specific user choices.

Yes, offerwall ads now support unconsented traffic. Rewarded ads serve limited or non-personalized ads depending on the region, and Supertab and Custom choices still work helping you monetize without relying on consent.

Offerwalls pay only when users complete actions like installs or signups, not just views or clicks. This makes them more performance-focused and often more profitable than traditional ad formats.

Typical offers include surveys, app installs (via redirect or QR), newsletter signups, browser extension installs, and short video views all designed to drive high-value engagement.

Offerwalls work best on sites with high engagement or gated content like gaming portals, cashback platforms, download tools, or any site offering rewards or unlockable features.

Earnings depend on the type of action. Surveys often pay $1–$5, while app installs or purchases can pay $5–$20+. Because users opt in, completion rates are usually strong.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Ad Tech
Kashish

Top 10 Ad Networks for Publishers in 2025 And Why Smart Mediation Matters

Top 10 Ad Networks for Publishers in 2025 And Why Smart Mediation Matters

In 2025, monetization isn’t about picking one ad network, it’s about building the right stack. Whether you’re running a mobile app, a content site, or a CTV channel, the platforms you choose and how you combine them directly impact your earnings.

The challenge? Each network has different strengths, eligibility rules, and technical requirements.

We’ve covered the top 10 ad networks publishers should know in 2025 who they’re best for, what to expect, and how to build a flexible, future-proof ad stack that grows with your traffic.

1. Google AdSense

AdSense remains the go to for beginners. It’s simple: paste in the ad code, and Google handles the rest. If your traffic is still growing or you’re in early stages, AdSense is a low-barrier way to monetize.

But RPMs are often low (sometimes under $2), and account bans can happen without warning. Once you start getting consistent traffic, most publishers eventually graduate to more advanced options like AdX or header bidding setups.

2. Google AdX (via GAM / MCM Partner)

AdX unlocks premium demand with RPMs often in the $5–$10+ range, especially for U.S. traffic. But access isn’t direct. You’ll need to set up through Google Ad Manager (GAM) and an MCM (Multiple Customer Management) partner.

Technical setup is not beginner-friendly: passback rules, floor pricing, and real-time bid tuning all require attention. That’s why many publishers work with MCM providers who manage these moving parts efficiently.

3. Amazon Publisher Services (APS)

APS offers strong competition to AdX, especially in North America and Western Europe. With CPMs in the $4–$8 range for display and video, it brings stable demand from Amazon’s ecosystem.

However, the integration process is complex: server-side tagging, event catalog syncing, and header bidding setup. APS also requires approval. Many mid-tier publishers benefit from having this layered in by a platform that already supports server-to-server integrations.

4. MagicBid (Full-Stack Monetization & Mediation Platform)

Before you pick ad networks, you need the right infrastructure. MagicBid is a full-stack monetization platform built to unify Prebid + Postbid, optimize real-time auctions, and plug into 40+ top demand sources including Google AdX, Amazon, PubMatic, and more.

It’s designed for web, app, and CTV publishers who want premium demand without the complexity. With SDKs, oRTB, header bidding, and server-side integrations, MagicBid gives you full control over your stack and makes your existing networks perform better. Think of it as your foundation: instead of choosing one ad partner, use MagicBid to make the best ones compete harder for your inventory.

5. Magnite (CTV & Video Monetization)

If you’re in the CTV or OTT space, Magnite is one of the most important players. It connects publishers with high-value demand from major DSPs targeting connected TV.

To get approved, your video content must meet strict specs including server-side ad insertion (SSAI) and accurate ad markers. Magnite works best for publishers already delivering high-quality long-form or FAST content.

6. PubMatic (Header Bidding DSP Access)

PubMatic is ideal for advanced programmatic setups. It brings in competitive bids from a wide range of DSPs, and excels in real-time auctions especially when latency is managed properly.

Header bidding configuration, timeout tuning, and floor price strategy are key. Without optimizing these, you may miss out on its full revenue potential.

7. Index Exchange (Premium, Brand-Safe Demand)

Index Exchange focuses on quality over quantity. Its demand is brand-safe, viewable, and high-performing ideal for publishers working with advertisers that prioritize clean placements.

It’s best used alongside higher-fill networks to balance volume and quality. This dual-stack approach helps publishers protect UX while improving revenue consistency.

8. Performance Ad Networks (Adsterra, Monetag, PopAds)

These platforms focus on global reach with formats like push, pop-under, and smart links. Their flexibility helps monetize Tier 2–3 traffic that mainstream SSPs don’t always fill.

However, UX risks are real especially with aggressive ad formats. These networks are best deployed strategically: either as a fallback or only on specific pages where user engagement is less critical.

9. Unity Ads / ironSource (App-First Monetization)

If you’re monetizing mobile games or apps, Unity Ads and ironSource are essential. Rewarded videos, interstitials, and native placements consistently outperform display for in-app revenue.

They require SDK integration, placement setup, and mediation layers to perform optimally so technical guidance or mediation support is often needed for smaller teams.

10. Niche & Closed Networks (Ezoic, Mediavine, Raptive)

These networks offer strong RPMs in specific niches lifestyle, food, parenting, etc. But most require exclusivity, strict layout control, and minimum traffic thresholds.

They’re ideal for mature publishers who want an all-in-one service but they can limit flexibility, especially if you want to experiment with new formats or SSPs.

Choosing the Right Ad Stack

No single network wins across all formats, niches, and geographies. What actually drives performance is how well your demand sources are combined and optimized. In today’s ecosystem, success comes from building a stack not betting on one provider.

Whether you’re stuck with low CPMs or juggling too many partners, MagicBid helps unify your monetization across web, app, and CTV.

  • Certified MCM partner for Google AdX
  • Server-to-server integration with APS, PubMatic, and more
  • Real-time auction tuning, SDK support, and fraud protection

Want to see how your setup compares? Get a free audit 

FAQ

AdX isn’t available directly, you need Google Ad Manager and an MCM partner like MagicBid. We manage the full setup, including passbacks, floors, and bid tuning, so you can access premium demand without the complexity.

Google AdX, APS, and PubMatic top the list for Tier 1 geos. Publishers report $5–$10+ RPMs but only if latency, ad formats, and bidding rules are well configured. Setup quality matters as much as the partner.

AdSense is easier but offers lower RPMs. AdX, available via GAM and MCM partners, gives access to premium buyers and better rates. It’s more complex to set up but pays off for growing publishers.

Start by identifying your platform (web, app, or CTV), audience location, and traffic quality.

Then shortlist networks that specialize in your format and geo.

The real performance comes from how well these networks work together through mediation, header bidding, or direct deals and how easily you can track, test, and optimize each one.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Ad Tech
Kashish

SEO Attribution Is Broken in 2025 Here’s What Publishers Can Do

SEO Attribution Is Broken in 2025 Here’s What Publishers Can Do

AI-generated answers, broken user journeys, and unreliable analytics are making it harder than ever to connect organic traffic to actual revenue. Publishers who rely on SEO to drive monetized sessions are already feeling the impact. Traffic patterns are shifting. Clicks are disappearing. And the usual tools aren’t telling the full story.

Here’s what’s changing, why it matters for content driven businesses, and what digital publishers can do now to stay ahead.

Why Is SEO Attribution So Hard Even Before AI?

Even before AI, measuring SEO impact was never straightforward. SEO is a long game. You make changes today, but results can take weeks or months to appear.

By the time a metric improves, it’s hard to isolate the cause. Was it your update? A product launch? A holiday campaign? An algorithm shift? And in large teams, tracking site changes made by others is often impossible.

Other persistent issues include:

  • Cookie opt-outs and ad blockers reducing data quality
  • Unreliable or incomplete numbers in Google Search Console
  • Confusing traffic spikes caused by PR, ads, or offline campaigns
  • User behavior that doesn’t follow linear conversion paths

SEO’s influence has always been real. Proving it has always been messy

How Does AI Search Impact SEO Revenue for Publishers?

The traditional search path looked like this:
Search → Click → Website → Conversion

Now, it’s more likely:
Search → AI Answer → Follow-up Query → Decision → (Maybe) Website → (Maybe) Conversion

AI Overviews, ChatGPT, Perplexity, and Gemini now provide complete answers inside the search interface. Users don’t always need to click. Even if your content ranks, it may never be seen.

In markets like Europe where SERP enhancements were limited due to privacy rules  this shift is especially dramatic. With AI Overviews now live, the impact is more severe:

  • AI summaries often replace the need to visit a site
  • Users receive complete, contextual answers directly in search
  • Some AI tools mention brands but credit other sources

The result: Visibility is harder to measure, clicks are harder to earn, and SEO’s influence is harder to prove.

Why Don’t Analytics Tools Track This Well?

Most analytics platforms don’t capture what happens inside AI tools. Some high-end options try but they’re often too expensive for most SEO teams.

Even platforms like GA4 will often register AI referrals as obscure sources, making it easy to miss valuable traffic. At the same time, AI-generated journeys are invisible. A user may see your brand in an AI answer, search for it later, and convert but there’s no direct trail to follow.

Why Paid Search Is Adapting Faster Than Organic

While paid search is facing similar attribution challenges, there’s one major difference:
Platforms like Google have a direct financial incentive to solve attribution for ads.

We’re already seeing sponsored brand placements in AI Overviews, and you can bet there are more to come. For organic? Not so much. No one’s building attribution pipelines for free traffic. And that means SEO teams are still flying blind.

How Are Publishers Losing Revenue From AI Search?

If you’re a content publisher relying on organic discovery to drive ad revenue, affiliate clicks, or conversions this shift affects you directly.

As AI Overviews and search assistants reduce clicks, here’s what’s at risk:

  • Fewer pageviews → harder to justify CPMs
  • Lost branded traffic → weaker affiliate or referral attribution
  • Untrackable discovery → undervalued content in your revenue stack
  • Broken funnels → misleading performance data for advertisers

This isn’t just an SEO team problem. It’s a revenue leak.

Publishers who monetize through Google Ad Manager, AdSense, or header bidding setups are already seeing this disconnect where high-ranking content earns impressions but not sessions, leaving ad ops teams blind to real content value.

What Can Publishers Do to Fix Broken SEO Attribution?

If you rely on organic discovery to power monetization, your strategy must adapt fast. Here’s what the most proactive publishers are already doing combining SEO fixes with monetization visibility.

1. Tag and Segment AI Traffic in Analytics + CRM

Traffic from tools like ChatGPT, Perplexity, Gemini, Claude, and Copilot often gets lumped into “referral” traffic and attribution is lost.

To fix this:

  • Set up custom channel groupings in GA4
  • Use regex filters like: .*gpt.*|.*chatgpt.*|.*openai.*|.*perplexity.*|.*gemini.*|.*claude.*|.*copilot.*|.*bard.*|.*grok.*
  • Mirror the same logic in your CRM or lead platform.

This ensures you don’t lose discovery credit for sessions that started in AI

2. Monitor Visibility Even Without Clicks

Even if traffic isn’t landing on your site, you may still be showing up in AI-generated answers.

Track signals like:

  • Growth in branded search queries
  • Page-level impressions with no corresponding clicks
  • Mentions in AI tools using platforms like Semrush or Authoritas

Optimize content to:

  • Be structured and scannable
  • Includes original data or analysis
  • Answers key user questions clearly

3. Align SEO with Monetization Data

Not all traffic is equal. As AI reshapes search, your best SEO content may no longer be your highest-earning.

Here’s how to close the loop:

  • Track session RPM, viewability, and scroll depth on SEO-driven content
  • Reassess undervalued pages that get high impressions but fewer sessions
  • Flag them for priority ad treatment or content updates

Align editorial, SEO, and ad ops around revenue per discoverable page, not just per session

4. Capture Mid-Funnel AI Discovery

AI tools may introduce a user to your brand but the click or conversion might happen days later.

To bridge that gap:

  • Add “How did you hear about us?” to lead forms, with AI platform options
  • Ask support/sales teams to record AI mentions in your CRM
  • Monitor branded search lifts after content launches these often signal AI-triggered interest

5. Keep Your Content AI-Ready

Pages that surface in AI Overviews or LLM answers often share traits:

  • Clear, structured content (FAQs, schema, tables)
  • Factual, trustworthy writing
  • Unique product comparisons or original research
  • Direct answers to user questions

Treat these pages as top-funnel revenue assets even if you can’t track the click directly.

Struggling to See the Full Picture?

If your content ranks but you’re not seeing the sessions or the revenue the issue probably isn’t your content. The real problem is how user journeys are tracked across AI tools and search.

When attribution breaks, you lose visibility into:

  • Where traffic is coming from
  • How users found you
  • What content is actually driving monetized sessions.

That disconnect is costing publishers far more than they realize.

If you’re unsure where sessions are being lost or which SEO pages are underperforming contact: support@magicbid.ai we’ll help you assess what’s missing and where to start.

FAQ

Q1: Why is my SEO content still ranking but getting almost no clicks?​

AI Overviews, ChatGPT, and other tools now answer user queries directly so even if your content ranks, users may not need to visit your site.

Q2: Is AI search the reason my organic traffic suddenly dropped?​

Yes many publishers are seeing 30–60% traffic drops even though their rankings haven’t changed. AI-generated answers often bypass your site entirely

Q3: Why can’t I track traffic from ChatGPT, Gemini, or Perplexity in GA4?​

Most AI tools don’t pass proper referral data they show up as “direct” or “other.” To fix this, set up regex filters in GA4 using terms like chatgpt, openai, gemini, or perplexity to group AI-driven visits separately.

Q4: How do I know if my content is being used in AI answers?​

Look for signs like branded search spikes, high impressions with low clicks in Search Console, and mentions in tools like Semrush. These indicate your content is visible, even if it’s not driving clicks.

Q5: What types of content actually show up in AI Overviews?

Pages with FAQs, bullet lists, clear H2s, and original research or comparisons tend to perform best especially if they provide direct answers.

Q6: Can I still prove the value of SEO if I can’t track the click?

Yes by tracking branded search growth, scroll depth, and user engagement on content likely discovered via AI, and using “How did you hear about us?” form fields to capture indirect discovery.

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

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Ad Tech
Kashish

Why Real-Time Bidding Programmatic Is Driving 90% Higher Fill Rates Here’s How

Why Real-Time Bidding Programmatic Is Driving 90% Higher Fill Rates Here’s How

If your fill rate still feels unpredictable, the problem isn’t demand, it’s how your stack handles real-time bidding. We’re seeing a massive shift: publishers who’ve moved fully into real time bidding programmatic setups are pulling 60–90% higher fill rates than those still relying on hybrid or legacy methods.

But it’s not just about turning on header bidding. It’s about doing it right and knowing where most setups fall short. Let’s break down what’s holding revenue back and what top-performing teams are doing differently.

What’s Really Driving the Fill Rate Gap?

The problem isn’t lack of demand. Most programmatic marketplaces are flush with buyers. The issue is timing, structure, and signal quality.

Here’s what that looks like in practice:

  • A bidder sees your impression… too late.
  • Your ad server prioritizes a direct deal… but doesn’t backfill fast enough when it fails.
  • Your bid request lacks basic metadata, so DSPs skip it.
  • Your setup prefers speed over price and you win the wrong bids.

The result? Lower fill rate, lower overall revenue, and wasted inventory.

1. Your Timeout Settings Are Still Built for Display

The problem:
Most publishers still use the same 1,200–1,500ms timeouts across web and mobile. That’s tight and way too short for connected devices or slower networks.

Example:
We’ve seen Fire TV apps running with 1.2s Prebid timeouts. DSPs respond at 1.6s. Result? No fill, despite available bids.

Fix it:

  • For video and CTV, push your timeout to  2,500ms–3,500ms
  • In Prebid, use: pbjs.setConfig({ timeout: 3000 });
  • In Google Ad Manager, increase your line item timeout under video ad rules
  • Use Charles Proxy or Chrome DevTools to inspect response delays

This alone can improve fill rate by 20–30% without touching demand partners.

2. Your Line Items Don’t Match Bid Density

The problem:
If your line item setup doesn’t match the bid range you’re actually receiving, you’re either throttling your own fill or undervaluing good bids.

Example:
We audited a setup where 70% of bids were between $1.50 and $2.20 but the publisher only had floor tiers at $1.00, $2.50, and $3.00.That created a dead zone where bids got ignored.

Fix it:

  • In Google Ad Manager, create more granular price priority buckets (e.g., $0.25 steps)
  • Use real bid data (from Prebid or OpenRTB logs) to shape tiers
  • Revisit line item frequency caps some are over-restrictive

Proper alignment improves win rate and stabilizes your real time bidding programmatic value flow.

3. You’re Not Segmenting Inventory by Format or Geo

The problem:
Buyers don’t treat all your inventory the same. But if your ad stack does, they can’t bid accordingly.

Example:
A mobile publisher bundling banner and interstitial units under one placement saw buyers undervaluing everything. After breaking them apart, fill on interstitials jumped by 40%.

Fix it:

  • In GAM, assign separate placements for each format
  • Pass adunit_type and geo as custom key-values
  • Segment Prebid requests using adUnitCode and bidder aliases

Segmented inventory = more relevant bids = higher fill rate across formats.

4. You’re Still Prioritizing Speed Over Value

The problem:
Most stacks are set to serve the fastest bid, not the best one. This made sense years ago but not now.

Example:
A publisher using firstResponseWins logic in their wrapper missed higher bids by 200–300ms. When they switched to allBids with 2.5s timeout, revenue rose 22%.

Fix it:

  • In Prebid, enable enableSendAllBids: true
  • Increase your bid timeout slightly (within reason)
  • Let GAM do the auction  not just the header bidder

Real time bidding programmatic works best when you give it time to function. Don’t rush your auction.

5. Your Ad Requests Are Missing Required Fields

The problem:
DSPs automatically skip requests missing critical info even if everything else looks good.

Example:
A connected app wasn’t passing ifa (Identifier for Advertisers). As a result, 3 of its top DSPs refused to bid.

Fix it:
Make sure each request includes:

  • ifa or device_id
  • app.bundle or site domain
  • geo, device.make, and connection_type
  • Use Postman or cURL to verify payloads
  • Get a bid spec checklist from each major DSP you work with

No signal = no bid = no fill. This is a fast fix that unlocks fill rate without adding new partners.

6. Your GAM Priorities Are Fighting Your Header Bidding

The problem:
Google Ad Manager is still running on priority logic and sometimes it works against your open market competition.

Example:
We’ve seen PMP deals win impressions with $1.80 CPMs while open bids at $2.30 get passed over. GAM gave preference due to priority, not price.

Fix it:

  • Enable unified pricing rules to level the playing field. This ensures that all eligible line items including open auction bids are treated fairly based on price, not just deal priority.
    Refer to Google’s Unified Pricing Rules guide for implementation steps.
  • Set open auction floors properly so they compete fairly
  • Use GAM’s multi-slot logging to trace decision flow

When managed well, Google Ad Manager can amplify the benefits of real time bidding programmatic not block them.

7. You’re Not Monitoring Bid Loss or No-Bid Reasons

The problem:
Most ops teams focus on fill % and eCPM but don’t check why bids are failing.

Example:
One publisher discovered that 12% of bid losses were due to invalid ad sizes. They’d been using a 320×480 placeholder for all mobile placements.

Fix it:

  • Monitor Prebid’s analyticsAdapter (e.g., Google Analytics, Loggly, etc.)
  • Enable GAM’s “No Bid Reason” reporting
  • Run regular diagnostics on request payloads

Getting real-time visibility into why bids fail helps close the fill gaps faster than just adding new demand.

What to Do Next

Here’s what high-performing monetization teams are already adjusting:

  • Increase video timeouts to 2.5–3.5s
  • Align GAM line items with real bid density
  • Segment placements by format, device, and geo
  • Use enableSendAllBids to improve auction logic
  • Pass all critical metadata in bid requests
  • Fix internal conflicts between GAM and open auction logic
  • Actively monitor no-bid reasons and technical drops

None of these require new partners. Just better use of what you’ve already got.

Still Seeing Fill Gaps? It’s Probably Not a Demand Issue

Most publishers have more than enough demand available. What holds back fill is usually deeper in the stack timeouts, auction logic, misaligned line items, or missing metadata.

These aren’t major errors. But left unchecked, they quietly block bids, lower match rates, and limit revenue. If your setup checks all the usual boxes but results still fall short, it may be worth taking a closer look. Sometimes, small technical gaps make all the difference.

Looking to validate what’s working or spot what’s being missed? Connect with us at support@magicbid.ai

Fill Rate

If you’re not making the most of your ad space, you’re leaving money on the table.

MagicBid helps web, app, and CTV publishers maximize revenue with smarter ad placement and optimization tools.

  • Web Monetization: Get better ad visibility, higher engagement, and more revenue from every impression.
  • In-App Monetization: Connect with premium advertisers to effortlessly boost fill rates and eCPMs.
  • CTV Monetization: Deliver high-quality, tailored ad experiences that keep viewers engaged and advertisers paying more.

With MagicBid’s advanced ad tech and expert support, you can turn your traffic into higher earnings without the guesswork.

Connect with us now to get a free ad revenue evaluation.

60

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