What should a monthly AI visibility report show?

A monthly AI visibility report should show a fixed set of buyer questions run the same way each month across named AI platforms, the answers that came back, which businesses those answers named, what sources they cited, how you compare with competitors chosen in advance, what was published that month, and what to do next. It should also say plainly what a sample of answers cannot tell you.

Many owners receive a visibility report and still cannot tell whether anything changed. Scores rise and fall with no explanation, the questions differ from month to month, and the competitors in the comparison are whoever happened to appear. A report like that describes activity. It does not support a decision.

This page covers what the report itself should contain and how to read one. For working definitions of mentions, citations and recommendations, and for connecting answers to analytics and inquiries, see measuring AI search: mentions, citations, visits and leads.

Why answers change, and what that means for a report

AI answers are not a fixed list. OpenAI's help page on searching the web with ChatGPT says ChatGPT may use an approximate location based on your IP address to provide relevant local results, may use relevant saved memories when rewriting a search query if memory is enabled, and that placement is not assured. The same page cautions that search results and citations can be incomplete, outdated or incorrect. Google's documentation on AI features says AI Overviews and AI Mode may issue multiple related searches across subtopics and data sources, and says indexing and serving are not assured.

For a report, every result is an observation under particular conditions, not a fact about what every buyer sees. A screenshot is not a trend. The report earns trust by holding the conditions steady (the same questions, platforms and location settings each month) and by recording the conditions it could not control.

What each section of a good report contains

Whoever produces it, a monthly report is easier to use when it follows the same structure every month.

The limits row is the one most often missing. A good report tells you when a question was worded in a way buyers rarely use, when a platform changed how it presents answers during the month, or when a single answer is carrying more weight in the summary than it should.

Comparing with competitors honestly

Competitor comparison is useful when the competitors are named before the month starts, chosen because buyers actually weigh them against you, and kept stable so the comparison means the same thing next month. Compare question by question: for each one, who was named, who was cited, and what their cited page says that yours does not. That last column is where next month's work comes from.

A report should also be careful with Google figures. Google's AI features documentation says sites appearing in AI features are included in overall search traffic and are reported in the Performance report within the "Web" search type, so any figure labeled as AI traffic from Google should explain exactly where it came from. A practical question to put to any provider before you rely on their report: "If we picked any number on this page, could you show us the saved answers or the export it came from?" A provider who can do that is giving you evidence rather than a score.

A fictional example: a CPA firm's report

Here is a fictional CPA firm in Virginia that works with owners of small construction companies. Its question set covers how contractors handle estimated taxes, how to choose an accountant who understands job costing, and questions that compare local firms by name. Each month the same questions run on the same platforms with the same location setting. The report shows the saved answers, lists which firms each one named, and notes that two competitor pages keep getting cited for job costing questions while the firm's own page on the topic is two paragraphs long.

The next action is not to write more. It is a fuller job costing page, and the facts for it come from the partner who handles those clients, because a writer should not have to invent what the firm knows about its own work. The following month's report records that the page went live and keeps watching the same questions, without claiming the new page caused anything the evidence cannot show.

What Hudson South's retainer report includes

On Hudson South's monthly plans, the visibility report is a defined question set run across AI platforms, with competitor comparison on larger plans. It sits beside the weekly work in the AI search content service, which follows four steps in order: Authority Asset records the expertise the business already has, Hudson Twenty-One records how it communicates across 21 dimensions, and then Market Intelligence (what buyers ask and what competitors have already answered) and AEO Creation (the published pages) repeat every week. The report shows how answers to the question set look month to month. No report, from Hudson South or anyone else, can say when or whether an assistant will mention a business, and Hudson South does not promise that any assistant will name, cite or recommend a client.

If you want a quick look at your own website first, the free 8-question AI visibility check is about your site; it does not show what any assistant says. For how timing works after new pages publish, see how long new content takes to show up in AI answers, and for the rest of the retainer, what a monthly content retainer includes.

Know who your buyers are being shown

On a free 30-minute call, we compare your site with the competitors your buyers also look at and walk through the questions where they are answering and you are not.

Sources

1. Searching the web with ChatGPT. OpenAI Help Center. Read 2026-10-17.
2. AI features and your website. Google Search Central. Read 2026-10-17.