Monthly AI Search Tracker
A monthly snapshot of how AI assistants answer real buyer questions - and what it means for your visibility, your competitors, and your content strategy.
Why this exists
- AI assistants are replacing traditional search for early-stage B2B research
- Most brands have no idea what AI says about them - or their competitors
- The landscape shifts every month as models update and retrain
- Marketing teams need a reliable, structured view of what's changing
What you get each month
- Trends in AI answer behaviour across ChatGPT, Perplexity, Gemini and Claude
- Visibility patterns: who's showing up, who's disappearing, and why
- Content strategy implications - what types of content are earning citations
- Month-on-month changes so you can track the direction of travel
Latest edition
AI search is more cited, more fragmented — and still unreliable as a source of product visibility
The June edition of the Odyssiant AI Search Tracker analysed 4,623 AI-generated answers across four engines, up 23% on the previous period. The evidence layer kept expanding, with 24,870 citations extracted and citations appearing in 80% of answers. But the average visibility score fell to 26/100, and Not Mentioned remained the dominant verdict at 57%. AI search is becoming more observable, but not more favourable.
- 4,623 AI answers were analysed in June, up 23% from the previous period
- The average visibility score fell to 26/100, down 5 points month on month
- 80% of answers included citations, down from 85%
All editions
The June edition of the Odyssiant AI Search Tracker analysed 4,623 AI-generated answers across four engines, up 23% on the previous period. The evidence layer kept expanding, with 24,870 citations extracted and citations appearing in 80% of answers. But the average visibility score fell to 26/100, and Not Mentioned remained the dominant verdict at 57%. AI search is becoming more observable, but not more favourable.
The fourth edition of the Odyssiant Monthly AI Search Tracker analysed 4,181 AI-generated answers across eight engines — more than double the previous period. Citation volume, source coverage and average visibility all rose. But the central problem has not gone away: most products are still not being surfaced, with Not Mentioned the dominant verdict at 57% of answers.
The third edition of the Odyssiant Monthly AI Search Tracker. More answers were analysed, more citations were extracted, more unique domains appeared — but average visibility fell sharply. AI-led buyer research is becoming more crowded, more selective and more dependent on whether a product is surfaced at the right point in the journey.
The second edition of the Odyssiant Monthly AI Search Tracker. This month we look at how AI-led buyer research is drawing on a wider source base, rewarding stronger proof, and shaping decisions earlier in the journey than many teams are planning for.
The first edition of the Odyssiant Monthly AI Search Tracker. This month we look at how AI assistants have shifted from novelty to default starting point for B2B research - and what the data says about which brands are showing up.
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Frequently asked questions
Common questions about the AI Search Tracker, citation sources and how marketing teams use the data.