A useful AI visibility report answers three questions: when someone asks an AI assistant about what you do, are you named; if not, why not; and what should you fix first. Anything that doesn't serve one of those, such as a single composite score with no explanation or a chart of mentions with no context, adds little. A report worth reading has the parts below.
What is an AI visibility report?
It's a record of how AI systems (ChatGPT, Perplexity, Gemini, Google's AI Overviews) treat your business when asked questions in your market. You'll see it called an AIO report, a GEO report, or an AI search report. The label matters less than whether it answers the three questions above.
It should show the answers themselves
A number alone is hard to act on. The most useful thing a report can include is the answer itself: the words the assistant wrote, with your business and your competitors highlighted. It shows you whether you were recommended or merely listed, and who was named ahead of you.
A composite score is fine as a summary, but it shouldn't be the only thing in the report.
It should show who was named instead
When an assistant doesn't name you, it names someone else, and that name is often the most useful line in the report. If the same two competitors appear across most of your questions, their sites and listings show you what the assistants find convincing. Study what those pages say and how their details are presented, and you'll usually find the gap in your own footprint quickly.
It should distinguish the ways you can appear
Reporting only "mentioned: yes or no" throws away the most useful detail. There's a real difference between:
- being named in the answer,
- being cited as a source without being named,
- being read by the assistant but passed over, and
- being absent altogether.
Each points to a different fix. A report that collapses them into one number can't tell you which you need.
It should account for variation
Assistants don't give the same answer twice, so a report built on one check per question is reporting an anecdote. A trustworthy report uses repeated checks and says so. It also avoids declaring a trend from two data points that differ by chance. If a report never mentions how many times each question was asked, be cautious about its conclusions.
It should end in fixes
The point of measuring is to know what to do next. A report worth reading connects what it found to specific actions: unblock this crawler, add this schema, answer this question on this page. Ideally, each fix is ranked by how much it's likely to matter, so you know where to start.
That's how the Speak Local scan is built: it asks ChatGPT, Perplexity and Gemini your market's questions on a schedule, keeps every answer word for word, records each one on the named / cited / read / absent ladder, and pairs it with a fix list where each task shows the points it gives back. Speak Local's plans start at $49 a month.
Red flags in an AI visibility report
- No answer text anywhere. If you can't read what the assistant said, you can't check the report's conclusions.
- One check per question. A report built on single checks is reporting noise. Look for how many times each question was asked.
- A trend from two points. Two checks that differ don't make a trend; they're usually variation.
- A single score with no breakdown. A number without the named, cited, read and absent split behind it can't tell you what to fix.
- Vague recommendations. "Improve your content" is too vague to act on, unlike "answer this question in the first line of this page."
Questions to ask whoever produces your report
Whether it comes from a tool or an agency, a few questions show whether the report will help you make decisions:
- Which assistants were asked, and were they asked directly?
- How many times was each question checked, over what period?
- Can I see the full answer behind any number?
- How do you tell being named apart from being cited?
- Which fix do you recommend first, and why that one?
If they can answer all five, you can act on the report.
