How OneAssure Grew Its AEO/GEO Citation Footprint by 62% Across ChatGPT, Google AI & Gemini

Words from the founder

“Revenify helped us turn SEO from a reporting exercise into a repeatable growth system.”

Ruchir Kanakia, Founder & CEO, OneAssure

The first OneAssure case study showed how a revenue-backwards SEO system could improve high-intent organic acquisition. This second chapter looks at the next layer: how that same search foundation expanded OneAssure’s presence across AI-led discovery.

The challenge

Insurance discovery was no longer happening only on traditional search results pages. Users were increasingly getting answers, recommendations and comparisons inside ChatGPT, Google’s AI experiences and Gemini.

OneAssure had already built stronger visibility around commercial insurance journeys. The next opportunity was to understand whether those same pages could become useful sources inside answer engines - and whether that presence could be measured consistently.

The goal was not to create a separate library of 'GEO content'. It was to make the existing search system more answer-ready, easier to discover and measurable across AI surfaces.

The Revenify approach

We treated AEO/GEO as an extension of the SEO system already working for OneAssure, not as a parallel content strategy.

The focus stayed on the pages closest to real insurance decisions: comparison journeys, insurer and plan pages, network-hospital pages, calculators and other high-intent assets. We strengthened the surrounding information architecture and added AI-search tracking as its own measurement layer.

AEO/GEO citation growth

What we changed

1. Built around high-intent insurance decisions

We continued prioritizing the journeys closest to consideration: comparison pages, insurer and plan pages, network-hospital journeys, calculators and product-led pages. These were useful SEO assets first, which also made them stronger candidates to be interpreted and cited by answer engines.

2. Expanded topical depth around real choices

Coverage was organized around the questions people ask while evaluating insurance - comparisons, coverage, insurer selection, claims, sum assured, super top-up, BMI and related decision journeys - rather than publishing simply to increase volume.

3. Improved discoverability and page relationships

Internal linking, sitemap improvements, footer links, reusable templates and ongoing page reviews made important commercial pages easier to discover and better connected to the topics around them.

4. Added AI-search measurement as a separate layer

We tracked ChatGPT, Google AI Overviews, Google AI Mode and Gemini separately across cited pages, mentions and visibility. This gave the team a way to see whether the search footprint was expanding beyond traditional rankings.

5. Kept SEO and AEO/GEO in the same operating system

We did not create an independent 'GEO workflow'. SEO supplied the page quality, topical depth and discoverability; AEO/GEO measurement showed how far those assets were travelling inside answer engines.

Cross-platform AI visibility

The results

The 62% headline measures combined cited-page presence across the four tracked AI surfaces. It is not a count of unique URLs: the same OneAssure page can be cited on more than one platform.

What this means

The strongest signal is not that OneAssure found a separate optimization trick for AI search. It is that the same fundamentals that strengthened high-intent SEO also created more surfaces that answer engines could discover, interpret and cite.

SEO built the foundation. AEO/GEO expanded the surface area.

Impact

Across the tracked period, OneAssure’s combined cited-page presence grew 62% across ChatGPT, Google AI Overviews, Google AI Mode and Gemini. Cited-page presence increased on every tracked surface, while combined AI mentions also finished higher.

More importantly, AI search became measurable inside the same operating rhythm as rankings, traffic and leads - rather than being treated as a separate experiment.

AI mentions expanded overall

Combined mentions across the tracked AI surfaces finished 33% higher over the October-to-March comparison window. Three of the four surfaces ended higher, while Google AI Overview was more volatile.

That volatility is why cited-page presence - rather than a single AI Visibility score or mention count - remains the cleaner headline metric for this case study.