In 2024, Google’s AI Overviews (formerly known as Search Generative Experience or SGE) began to drastically change how people interacted with search results. Instead of clicking on traditional blue links, users now receive AI-generated summaries - often powered by sources they never visit directly.
This shift introduced a new SEO frontier: earning a feature inside Google’s AI Overviews, instead of being pushed beneath them.
This case study shows how we helped a science-focused education platform consistently appear in Google’s AI-generated summaries - and grew their organic authority using a structured, content-driven SEO system built around topical depth, intelligent interlinking, and Google Search Console feedback.
Key Results
5+ articles featured in Google AI Overviews > > Boosted organic authority across high-conversion topics > > Improved internal navigation and user retention metrics > >
In This Case Study, You’ll Learn:
- How Google chooses content for AI Overviews
- Why Topical Authority is the \#1 ranking factor in this new SERP layout
- How to use GSC data to optimize content for AI visibility
- How internal linking can drive your core articles into AI summaries
- The exact tools and process we used to repeat this strategy at scale
Table of Contents
- Key Results
- In This Case Study, You’ll Learn:
- The Problem: AI Overviews Were Replacing Organic Rankings
- Our SEO System for AI Overview Inclusions
- Tools We Used
- The Results
- Final Thoughts
- Ready to Get Featured in Google’s AI Overviews?
The Problem: AI Overviews Were Replacing Organic Rankings
Our client, a science education platform with a strong base of content on dust hazard safety, noticed a decline in impressions and clicks
- even though their articles were still ranking top 5.
The cause? Google AI Overviews were leapfrogging them in the results.
Instead of seeing traditional search listings, users now saw a summary answer generated by Google’s AI
- which often pulled information from third-party sites, sometimes even quoting our client’s content without attribution.
We realized: ✅ We needed to earn a spot inside the AI Overview ???? We couldn’t rely on rankings alone anymore ???? We had to align content with the signals Google’s AI uses to determine authority
Our SEO System for AI Overview Inclusions
Step 1: Mapping Intent-Based Clusters
We grouped our client’s topics into micro-clusters around specific search intents - such as:
- “Dust hazard classification”
- “Types of combustible dust”
- “Dust explosion prevention standards”
Each of these clusters had a pillar post supported by multiple subtopics. These were not just keyword-based, but built around user intent and topical depth.
We used Gert Mellak’s internal tools and Ahrefs to identify:
- What terms had AI Overviews
- Which competitors were being quoted
- Where the gaps existed in our current content
Step 2: Creating AI-Friendly, Structured Content
We rewrote and expanded the pillar articles using the following content structure:
- Clear H1 and H2 hierarchy
- FAQs and definitions in bullet or table format
- Short, factual paragraphs with authoritative citations
- Schema markup where relevant (FAQ and HowTo)
We also made sure the content answered the main query right away, a structure that aligned with how AI Overview snippets were being generated.
Step 3: Intelligent Internal Linking Strategy
Using Internal Link Juicer and Gert Mellak App data, we created automatic interlinking patterns to strengthen authority signals across the cluster.
Each supporting article:
- Linked back to the pillar content
- Used varied anchor text matching real search intent
- Maintained a clean, crawlable structure
This strategy ensured that Google crawled the topic as a semantic entity, not isolated pages.
Step 4: Iteration with GSC + On-Page Refinements
After publishing, we didn’t stop.
We monitored Google Search Console for:
- Clicks from AI Overview-triggering keywords
- Declines in traditional CTR
- New impression spikes
When we saw a post gaining visibility but not breaking into AI Overviews, we refined:
- Metadata (title tags + descriptions)
- Opening paragraph clarity
- Semantic coverage based on Clearscope suggestions
Tools We Used
- Gert Mellak App
- to detect page opportunities, segment keywords, and visualize impact
- Internal Link Juicer
- for strategic, automated linking at scale
- Clearscope
- for content depth optimization and semantic coverage
- Google Search Console
- for real-time testing, refinements, and measuring AI Overview impressions
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The Results
After 8 months of applying this structured approach:
- 5+ articles were consistently cited inside Google AI Overviews
- Organic impressions increased, especially for competitive topics
- Client gained AI visibility on some queries dominated by major authority sites
- Improved internal click-throughs thanks to strategic link structuring
- Topical authority established across 3 core knowledge areas
One standout post was quoted directly in the AI Overview for “dust hazard classification”
- appearing above content from major government and industry sites.
Photo by Jon A. Barrett
Final Thoughts
AI Overviews are not a death sentence for SEO. They’re a new opportunity for strategic content creators to get featured in a new kind of ranking
- AI-first visibility.
By building topical authority, structuring content for fast comprehension, and supporting it with smart internal links, you can train Google to see your site as the definitive source
- even for competitive queries.
Ready to Get Featured in Google’s AI Overviews?
Let’s turn your site into the one Google’s AI chooses to quote. → Schedule a Strategy Call with Gert Mellak
We’ll map your opportunity areas, cluster your content, and help you win inside the SERPs
- AI and all.
My current take
This topic now fits into a broader Search Everywhere Optimization system. Google still matters, but buyers also use AI answers, YouTube, Reddit, reviews, and comparison content before they decide. The practical question is not whether this is an SEO task. The question is whether it helps the right buyer find and trust you.
If you want to know where your current visibility gaps are, start with a diagnostic call or the AI Readiness Check.