Understanding
Can an AI system explain what the company does, who it serves, and why a buyer would choose it?
AI Visibility Check
We review how your business appears in a controlled sample of relevant AI-assisted searches, what the systems get wrong, which competitors appear instead, and what is most worth fixing first.
What gets checked
AI answers vary by platform, prompt, timing, location, and available sources. The review shows the questions tested and the evidence observed so you can judge the findings instead of trusting a black box.
Can an AI system explain what the company does, who it serves, and why a buyer would choose it?
Does the company appear in a controlled sample of relevant buyer questions, and which competitors appear instead?
Are the answers current and supportable, or are important facts missing, confused, or incorrectly inferred?
Which pages and outside sources appear to shape the answers, and where is stronger evidence needed?
Start the check
We will review the submitted company and email a concise findings note. This is an observed diagnostic, not a promise that any platform will return the same answer every time.
Straight answers
No. A single automated score can look precise while hiding unstable prompts, model differences, location, and timing. TMM reviews an observed sample and explains the limitations alongside the findings.
No. AI answers change and no outside firm controls them. The check identifies what is observable now and which website, entity, content, proof, or authority signals are most worth improving.
Not completely. Crawlability, entity clarity, useful pages, reputable citations, and strong proof support both traditional search and AI-assisted discovery. The test separates the observations, then connects the fixes where they overlap.
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