Find out if AI answers recommend you or your competitors.
A manual and agent-assisted audit for SaaS, AI tools, DTC brands, and marketing teams that need to know how ChatGPT, Perplexity, Gemini, and Google AI answers understand their product.
Built for teams that need a decision-ready report, not another dashboard to configure.
You get a prompt-level visibility snapshot, competitor mentions, cited source gaps, and a repair checklist for the pages, directories, reviews, and entity signals that should be improved first.
Product visibility is now a revenue and positioning problem.
Buyers no longer discover products only through blue links. They ask AI assistants for shortlists, alternatives, vendor comparisons, and purchase recommendations. If those answers mention competitors but not you, the issue is not only SEO. It is a visibility gap across prompts, sources, citations, and entity clarity.
This service checks how AI systems describe your product, whether they cite useful sources, which competitors appear in your category, and what repair work can realistically be done this week. It is designed for operators who need a clear before and after, not a vague GEO report.
The first version stays manual on purpose. AI answers are noisy, prompt-sensitive, and source-dependent. A useful report needs judgment: which gaps matter, which claims are risky, and which fixes should happen before monitoring is worth paying for.
What the snapshot answers
The report turns weak AI visibility into a concrete matrix of prompts, competitors, sources, and repair actions.
What I check
- Can AI answers explain what your product is and who should use it?
- Which competitors appear for high-intent category and alternative prompts?
- Which sources are cited, and which credible sources are missing?
- Do your pages support comparison, use-case, and category-level recommendations?
- Which repairs are worth doing before monthly tracking is introduced?
Who it is for
B2B SaaS teams, AI tool makers, DTC product brands, and agencies that already care about search, category positioning, or lead quality. If a competitor being recommended by AI would matter to your pipeline, this is the right stage for a snapshot.
One audit workflow
Quick notes
Is this automated?
Not fully. It is manual and agent-assisted so the report can include judgment, competitor context, and practical repair advice before a full dashboard exists.
What does product visibility mean?
Product visibility means whether buyers, search engines, directories, communities, and AI answer engines can discover, understand, cite, and recommend your product.
Why not sell a dashboard immediately?
AI answers vary by prompt, model, region, and source freshness. A snapshot and repair plan should come before recurring monitoring, otherwise the dashboard only measures confusion.
Who is this for?
B2B SaaS teams, AI tools, DTC brands, agencies, and marketing owners who need to know whether AI answers recommend them, ignore them, or describe them inaccurately.