Visibility baseline
Start with crawler access, entity clarity, structured data, answer format and factual source coverage.
AI visibility · AEO · GEO
AI visibility monitoring for brands and websites
Audit how clearly AI systems can discover, understand and verify your brand, then turn readiness gaps into a prioritized fix queue.
12 deterministic checksNo signupResult in about a minute
YOUR BRANDReadiness live
78/100+11 since baseline
HIGH Add Organization identifiers
MED Clarify pricing facts
MED Open PerplexityBot access
Detect what is unclear. Fix the source. Measure again.
Ranked action queue
Turn every missing signal into a specific implementation task, ordered by impact instead of dashboard noise.
Comparable history
Paid sites keep recurring snapshots so releases and content changes can be tied to readiness movement.
Answer-engine sampling
Run real prompts in ChatGPT, Gemini and Perplexity, then compare brand mentions, competitors and cited sources.
Built on the 2-UA monitoring stack
AI access
Entity truth
Agent delivery
Change impact
Technical evidence competitors usually separate from AI analytics
robots.txt policies for GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google controls.
Schema.org identity, stable brand naming, public facts and canonical source pages.
llms.txt, WebMCP, rendered output, sitemaps and the pages AI crawlers can actually retrieve.
Connect readiness movement to page, schema, competitor and crawl changes already monitored by 2-UA.
Platform landing pages
Start with the answer engine your buyers use
Free snapshot · paid monitoring
Audit AI readiness or check one real answer for free. Track all three engines on your existing paid plan.
AI visibility questions
Does the free readiness score measure real AI mentions?
No. The readiness audit measures deterministic website signals. Use the separate free mention checker for one live Perplexity answer, or paid monitoring for ChatGPT, Gemini and Perplexity history.
What changes on my website?
Nothing automatically. 2-UA shows the evidence, the proposed fix and where it belongs; your team decides what ships.
How is this different from a normal SEO audit?
It focuses on machine-readable identity, AI crawler policy, factual source coverage, answer-first structure, llms.txt and agent discovery alongside the technical SEO foundation.