Gemini
From invisible to first engine
Client Case Study · Generative Engine Optimization
90 Days, Measured Daily, Four AI Engines
From 11th place to recommended by AI, in one quarter.
In March, this brand appeared in 1 out of 20 AI answers in its category. Ninety days later: 1 out of 7, and Gemini went from never mentioning it to citing it more than any other engine.
+172%
AI visibility
5.0% → 13.5% of answers
×5
Share of voice
2.1% → 10.6% vs. 11 competitors
×9
Monthly mentions
90 → 846 in AI answers
11th→6th
Category ranking
Out of 12 tracked brands
AI visibility growth chart
AI visibility, week by week
% of AI answers mentioning the brand
6.3%15.5%
Perplexity
×4 in three months
ChatGPT
×5.5 in three months
AI Overviews
Held its ground
How we did it, in broad strokes
The full playbook stays with our clients. The logic is simple enough to share.
Map where the engines actually look. Each engine pulls from a small set of third-party sources it already trusts. We found them first.
Build a real presence on those sources. Substance, not ads, on the exact pages and communities the engines keep citing. That is what unlocked Gemini and Perplexity.
Make the brand's own site machine-readable. Not more content. Content the engines can lift and cite accurately.
Measure daily, adjust weekly. What moves the numbers gets doubled down. What does not gets cut within the week.
When a buyer asks AI who to work with, there is no page two.
The names in that answer are the shortlist.
Methodology
Methodology
Measured by an independent AI visibility platform, not self-reported. A fixed set of real buyer prompts is run daily through:
Engines tracked daily
ChatGPT · Gemini · Perplexity · Google AI Overviews
Baseline
March 2026
1,267
answers analyzed
Current
Last 30 days to June 10, 2026
3,045
answers analyzed
Competitor identities withheld; underlying data available in a live walkthrough.
Want to be on the shortlist?
See how a 90-day GEO program can move your brand from invisible to recommended across every major AI engine.