AI search engines answer with a few sources. Trilar shows whether yours is among them, which domains win instead, which of your pages should have been cited and what keeps it from being quoted.
Trilar asks an AI model with live web search your important queries, taken from Search Console, and records whether your site is cited, at which position and which domains are cited instead.
For every query without a citation Trilar names the page that should have been cited, its best section, the query words that section lacks, and a verdict: page missing, section missing, section too weak, or good content that loses on authority.
Organisations, brands and shops in your structured data, matched with Wikidata by their official website. Trilar lists the sameAs links to Wikidata and Wikipedia that tie your pages to the right entity, and exports them as CSV for your CMS.
What AI search says when people ask about your brand: is it legit, experiences, alternatives. Trilar checks the answers against your own website and lists wrong claims, the tone, the competitors named and the sources that shape the picture.
Which AI crawlers robots.txt allows, a live fetch with each bot's real user agent to detect blocks and challenge pages, AI bot visits from your logs, and an llms.txt generated from your crawl.
SEO makes sure search engines can crawl, understand and rank a site. GEO (Generative Engine Optimization) is about being cited as a source in AI-generated answers. AEO (Answer Engine Optimization) shapes content so that single sections answer a question directly and on their own, which is what answer engines quote. Trilar checks all three in the same crawl.
Trilar asks an AI model with live web search your important search queries, the way AI search engines answer them, and records whether your site is cited, at which position, and which domains are cited instead. Results are stored, so you can follow the trend over time.
For every query where your site was not cited, Trilar names the page that should have been cited, its best matching section, the words of the query that section lacks, and a verdict: page missing, section missing, section too weak, or section good (then authority and competition decide).
Trilar finds the organisations, brands and shops in your structured data and matches them with Wikidata. Where a match exists but your sameAs links do not point to it, you get the Wikidata and Wikipedia links to add, so search engines and AI tie your pages to the right entity.
Trilar uses Claude by Anthropic through its commercial API. AI features only run when you start them, and results are stored with the crawl so you do not pay twice. Anthropic does not use API inputs to train its models by default. Everything else, from the crawl to the action plan, runs without AI.
Trilar crawls every URL like Google, renders JavaScript, connects Search Console and Analytics, and turns thousands of findings into a short list of fixes, most expensive first.
aeoAnswer engines retrieve passages, not pages. Trilar splits your content the way they do, scores every section and shows exactly what to add or rewrite.
Early access includes onboarding: we set up your account and go through the first crawl with you.