Start with a local buyer's question.
The audit uses your business category, city, state, and optional competitor names to build a set of buyer-style questions. You can name up to six services or customer needs to replace inferred examples in service-specific questions. The set covers discovery, services, buying intent, comparison, and questions that name your business directly.
For a plumber, that might mean asking who handles a burst pipe in your city. For a dental practice, it might mean asking about a specific service. These questions are generated from the details you provide. They are not a claim about measured search volume.
An audit includes 40 to 60 questions. You can preview the planned set at checkout before paying. Google AI Overviews uses a smaller selection of buying-intent questions when configured. The question inventory in your report shows what was included.
Sample available answer engines.
The service has integrations for OpenAI GPT with web search, Perplexity Sonar, Google Gemini with search grounding, and Google AI Overviews. Coverage depends on configuration and whether an engine returns an answer. The checkout page shows the sources configured for new audits.
These integrations use APIs and search results. They are not recordings of what every person sees in a consumer chat app. We label engines explicitly and retain the sampling information with each run.
If an engine is unavailable, a request fails, or an answer is not returned, that does not count as an answer that omitted your business. Coverage gaps are reported separately.
Count what appears in the sample.
Mention rate
The share of answered questions in which your business was named. If it appears in two of six answers, the mention rate is about 33 percent. That does not mean 33 percent of customers will see your business.
Citation rate
The share of answered questions that cite your website. A mention and a citation are different: an answer can name your business without linking to its site.
Position and competitor context
When the response format allows it, the audit records where your name appears and which other businesses are named. This is the order inside a sampled answer, not a search-engine ranking.
Separate the observation from the explanation.
An answer might name a competitor and cite a directory. That is an observation. It does not prove that the competitor paid for that directory, has more reviews, or was chosen because of a particular page.
The audit organizes the observed patterns into a prioritized fix list. Recommendations identify things to investigate or improve; they are not verified explanations of an engine's internal decision.
Source domains show where citations point. We do not verify your membership in every directory, inspect every competitor's service claims, or certify that every generated answer is correct.
Choose a useful next step.
Our free AI visibility checklist and printable worksheet help you review your business information and record a practical action before buying a report.
- Check the question. Does it match a service you offer and a place you serve? If it does not, do not build a page merely to chase that result.
- Review the evidence. Look at the relevant engine, question, businesses named, and cited domains. Check any important business facts yourself.
- Choose one practical improvement. Consider clearer service information, accurate business details, or an answer to a question your customers actually ask.
- Keep a record. Note what you changed and when. If you run another audit, compare the question sets and coverage before comparing percentages.
A snapshot, with boundaries.
Answers can vary between requests, models, locations, and products. A single audit cannot establish a trend, a cause, market share, or future leads. The current scope is one business category in one US city.
We do not promise placement, make changes to your website as part of the audit, or guarantee that an engine will recommend you. The self-service purchase is the report itself.
The public sample is illustrative. It combines repeated test answers and synthetic examples so you can inspect the format; it is not a customer case study.