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What models say now
We run the questions your buyers actually ask (category, problem, comparison, and direct) across the models your customers use, and record the verbatim answers.
WebJazz: AI Visibility Engine
How WebJazz works
Run a free audit of any domain and see what AI models like ChatGPT, Claude, Gemini, and Perplexity say about your business, plus exactly which sources decide it. You get a letter grade and a ranked fix list, in under 30 seconds, no signup.
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Which sources decide it
Every answer is traced back to the ~20–30 recurring pages that ground it: listicles, review platforms, directories, forums, and the two or three blogs that happen to rank. We rank them by how often they're cited. Most brands are absent from two-thirds of them.
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Today's three actions, drafts attached
Each day you get a short queue (1 to 3 actions, never more) with the work already drafted: the passage to publish on your own site, the listicle pitch ready to send, the review question engineered to elicit a specific claim. You review; you decide; you send. Nothing posts to third-party surfaces automatically, by design.
Example of what a drafted action looks like: ships Q4 2026, see the roadmap below:
Add a page: "Same-day emergency dental care in Denver" (300 words). Lead sentence: "Same-day emergency appointments: call before 11am and we'll see you today."
Why this action: the captured answer names three practices (cosmetic, implant, and general), and none of their cited passages claims emergency availability. A model answering "which dentist can see me today" needs exactly that claim, and no cited source provides it. One page, one extractable claim, ships on your own site. Draft attached; you review, you decide, you send.
Try it now
Run a free audit of any domain: no signup, under 30 seconds.
The $149/mo self-serve tier opens Q4 2026. Request access to be notified before it opens.
How we measure
Prompt set: 40–80 questions per vertical, in four types: category ("best X near me"), problem (how the buyer describes the pain before knowing the category), comparison ("X vs Y"), and direct brand.
Capture: Real answers stored verbatim; capture method recorded on every response. API data is labeled API; early-access baselines are verbatim screenshots of the live consumer interface, taken by hand. Never mixed in one number.
Parsing: One structured parse per response (mentions, cited URLs, position, sentiment) with a parser version on every row so history can be re-read honestly.
Target list: Citation sources ranked by frequency across the prompt set; ~20–30 recurring sources per vertical.
The queue: 1–3 actions daily, every action generated from gap data, every draft reviewed and sent by a human. Nothing auto-posts to third-party surfaces, ever. We say it plainly because it's our trust argument, not a limitation to hide.
What we store: We store verbatim model answers and the source list that grounds them, with the capture method recorded on every response: API captures labeled API; early-access baselines are hand-captured screenshots of the live consumer interface, never mixed in one number. Nothing posts to third-party surfaces automatically.