See where AI gets its answers. Then get there.
ChatGPT, Gemini, Claude and Perplexity recommend brands and cite sources. Toucan Intelligence shows which ones, why, and what to do about it, whether you want to be the recommendation or the page it comes from.
One run. Two ways to read it.
Tell us whether you sell something or publish about it. The same analysis runs either way; your reports lead with what you can act on.
You want AI to name you when someone asks for the best option. Reports lead with recommendation rate, share of recommendations vs competitors, the reasons AI gives when it picks a brand, and the sources behind those picks.
Affiliates, comparison sites, publishers. You want AI to cite your page as its source. Reports lead with citation share, which pages are cited and by which model, prompt coverage, and who is cited instead of you.
From findings to a plan
Every run now ends with something to do, not just something to know.
Set a budget, tone and channels. Get a ranked plan of plays, each tied to the sources and prompts it came from. Track status, pin what works, regenerate the rest after your next run.
Score your page against the pages AI actually cites for a prompt, on the quality signals Google's rater guidelines describe: authorship, dates, trust, technical, depth. Ranked fixes included.
A crawler view of what AI bots fetch (time to first byte, content without JavaScript, bot access) alongside Lighthouse Core Web Vitals for the pages you're competing with.
How it works
Brand or publisher. Add your domain, competitors or the brands you cover, and regions.
Pick from suggested queries or add your own. We run each across 4 engines and your regions.
Every answer, brand mention, recommendation and cited URL, with reports that lead with your goal.
Generate a strategy, benchmark your page, check performance. Hand any of it to the Toucan team.