One answer is not a measurement
Assistants answer differently each time and differently from each other. A screenshot from your phone is not a baseline.
AI visibility for your brand
We ask your buyers' questions across four assistants and show when you're named, who's named instead, and which pages the answers cite.
Free. No account needed. About 60 seconds.
39.4%
−1.2 pt
Let's make Lumen Analytics show up more in AI answers.
Ask about Lumen Analytics…
Visibility dropped 1.2 points. DataSpire took six prompts you used to win.
Share it as a page, a PDF or a public link.
Why this matters
A ranking report doesn't tell you whether ChatGPT mentions you, recommends someone else, or gets your product wrong. You need the answers themselves, on a schedule, with the sources.
Assistants answer differently each time and differently from each other. A screenshot from your phone is not a baseline.
When an answer lists three brands and you are not one of them, nobody emails you. You find out from a lost deal.
Which page did the assistant cite? Which question did you lose? Without that, 'optimise for AI' is guesswork.
Proof
We track our own product, Loomscribe, with Knownwise. These are its numbers as the product reported them, not a customer's.
Claude
Speak AI
Fathom
atlassian.com
loomscribe.com
speakai.co
docsie.io
screenapp.io
How it works
Start with a free audit of your site. Then track the questions that matter across four assistants.
Audit
Seven checks on what an AI crawler can read: llms.txt, structure, metadata, structured data, robots rules. Free, no account.
Track
Add your brand and competitors. We ask ChatGPT, Claude, Gemini and Perplexity and record who gets mentioned and where.
Read
Mentions, position, sentiment and share of voice per assistant, with the sources cited where the engine provides them.
Act
Prioritised recommendations, alerts when something changes, and a scorecard you can share with your team.
Knownwise can prepare the fix for you and let your own assistants read the evidence.
Connect an MCP-capable assistant to read your measured evidence. Read-only by default; every change it proposes waits for your approval.
Turn supported audit findings into a draft pull request on your repository, with machine-run checks and receipts. You review, merge and deploy.
How we measure
Each question goes to ChatGPT, Claude, Gemini and Perplexity as a live call, with that assistant's own web search on.
One live answer per question, per assistant, per run.
A separate judge model scores each answer for mentions, position and sentiment.
Every answer is kept with the pages it cited, so each number traces back to its source.
Each question carries a stability mark across its last four runs.
Start free
The audit needs no account. Paid plans add scheduled runs across four assistants, competitors, history and shareable scorecards.
What the audit checks, how tracking works, and what you can share.
Start with your URL
Run the free seven-check audit on your own site and leave with a score and a list of fixes.
No account. No card. About 60 seconds.