See what AI believes about you, then fix what it gets wrong.
Start an AI trust signals audit to see whether AI tells customers the truth about you, verified against evidence you control.
Everything you need for AI to get you right
Give AI one verified record
Claims & evidence: Confirm your key business facts and attach proof, so every claim reads as verified.
Entities & brand management: Connect your brand and its entities across every page and schema type.
AI-ready data feed: Publish a clean feed of your verified facts for AI engines to read directly.
Catch contradictions before AI does
Content scan: Find where your page text and schema disagree, so you fix contradictions before AI repeats them.
Monitor what AI says about you
Mentions & answers: See how AI answers questions about you, and catch the facts it gets wrong or misses.
Traffic & trends: Watch your AI-referred traffic and spot rising or falling mentions over time.
Track your AI accuracy in one score
AI Trust Score (ATS): See one score for how accurately AI describes your business, tracked across ChatGPT, Claude, Gemini, and Perplexity.
Built for businesses that depend on accuracy
SMB
Small teams get verified claims and answer checks, so AI stops repeating outdated facts about you. Available from the Pro plan.
Explore our solution for SMB
Agency
Manage claims and entities across many client brands from one place, and show each client measurable trust gains.
Explore our solution for agencies
Business
Connect Google Analytics to correlate trust gains with organic traffic, so you can prove impact to stakeholders.
Explore our solution for businesses
Enterprise
Roll out verified claims and entity management across every brand and region, with consistent trust signals company-wide.
Explore our solution for enterprisesHow all three layers fit together
Discover
Discover is the foundation beneath Trust. It scans your site, finds your structured data, and fixes the schema errors that block AI from reading you correctly.
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Trust
Once AI can read your site, Trust measures whether AI gets your facts right when customers ask, judged against your verified profile.
Control
Control is the next step up. It monitors how AI represents you over time and certifies that your data stays accurate, so credibility holds as things change.
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AI visibility audit today.
Be among the first to know, and the first to fix it.
Common questions
Trust is the second layer of LLMSource. Discover gets your site readable by AI. Trust then checks whether AI gets your facts right. It verifies your business claims, maps your brand entities, scans your page content for contradictions, and tests how accurately AI answers questions about your business. The result is your AI Trust Score, plus a clear list of what to fix first.
It’s a check of how accurately AI answers real questions about your business. LLMSource asks the questions, compares each answer to your verified facts, and scores the results. We ask each question several times, because an answer AI gets right only sometimes is still a risk, one you should see, not one that gets smoothed over. We only score facts your profile has verified, so you’re never judged on something you haven’t confirmed. The audit shows where trust is weak, so you know what to fix.
More customers now ask AI about your business before they ever visit your site. If AI gets your hours, location, or credentials wrong, you lose trust and sales before anyone reaches you. A confident wrong answer is worse than no answer at all. Trust finds those errors, sorts them by how much they matter, and helps you fix them so AI gets you right.
Trust works for any business AI describes to customers, from small teams to large brands. If customers ask AI about your hours, location, products, or credentials before visiting, this is for you. The AI Trust Score starts on Pro, so small teams can see how accurately AI describes them. Business and Enterprise include the tools to act on it. Agency gets them through the AI Representation Score add-on.
Discover makes your site readable by AI. Trust checks whether AI gets your facts right once it can read you. A site can pass Discover, with clean schema and no scan errors, and still fail Trust because its claims are unproven or its pages contradict each other. Trust measures and fixes what AI tells your customers, not just whether it can read your site.
No. Schema is the hidden code that labels your pages so AI can read them. An entity is anything AI links back to you, like your company, a location, or a product. Your job in Trust isn’t technical: you state facts, back them with evidence, and confirm what’s correct. Trust then flags where AI’s answers disagree with what you’ve verified. Anything that needs a schema change goes to Discover, where the fix arrives as ready-to-copy code.
Results vary by platform. AI engines that pull from live sources can reflect a fix within days, but those that rely on their own training data only catch up when the provider updates the model, and that’s out of your hands.
No. Trust measures accuracy and flags issues, but it doesn’t touch your live site. You decide what to verify, what to publish, and when. Schema fixes go through Discover, where you review them first.
Trust keeps checking. Each scan rechecks your claims and page content, and the AI-ready data feed refreshes after every crawl and whenever you verify a new claim. If a site update introduces a contradiction, it gets flagged.
Your claims, evidence, and scan data live in your LLMSource account. The data feed you publish is public, so AI can read accurate facts about you, but you decide what goes into it. Enterprise’s Control layer adds region-specific storage, PII masking, and stricter access controls. Standard account storage covers day-to-day use for most teams.