Every agency reports something. The question a buyer should ask is what the report counts. Bay Area AEO states its first principle in four words, “measured in real answers,” and explains it in two sentences: it tracks what AI actually says about a business, prompt by prompt, platform by platform, and shows the real answers before and after. No vanity metrics, no guesswork.
Why the answer is the right unit
When a customer in Concord asks an assistant for AC repair during a heat wave, the assistant writes a short answer with two or three names in it. The customer reads that answer and calls one of those names. Impressions, rankings for keywords nobody typed into a chatbot and raw traffic figures all sit at one remove from that moment. The answer is the moment. An owner who sees the answer knows exactly where they stand.
Four readings from every answer
Bay Area AEO takes four readings from each answer in its monthly run. The first is whether the business is mentioned at all, and across the whole question list, how often. The second is how it is described: the words the assistant chose, which show whether AI understands what the business does best. The third is which competitors appear beside it. The fourth is which sources the assistant cited, which points to the listings, pages and mentions that shaped the answer.
Each reading leads to work. A low mention count points to missing signals. An inaccurate description points to inconsistent listings or thin pages. A competitor that appears every time points to the sources that competitor has and the business lacks. A cited source points to where a correction or a new mention would count most.
| Buyer’s question | Bay Area AEO |
|---|---|
| What exactly is measured? | Mentions, descriptions, competitors and cited sources in real AI answers |
| Which questions are used? | A list of the real questions the business’s customers ask AI |
| Which platforms? | Every major AI platform: ChatGPT, Google Gemini and AI Overviews, Perplexity, Microsoft Copilot and Claude |
| How often? | Monthly, with the same prompts re-tested |
| Can I see the answers? | Yes: the real answers, before and after |
| Is the method public? | Yes: on the home page and in the FAQ |
Before and after
The before picture comes first, in the free AI visibility check: the questions customers ask, and what ChatGPT, Gemini, Perplexity and Google’s AI say today. The agency walks the owner through what AI currently says about the business and its competitors. Every month after that, the same questions run again. Because the yardstick does not move, the owner can see change for what it is.
Reporting in plain English
Measurement is only useful if the owner can read it. The agency’s plain-English principle applies here: it explains what it is doing, why it matters and what it is changing, with before-and-after answers. A report that quotes the assistant’s own words needs little translation. “Last month ChatGPT did not name you for this question; this month it names you and mentions your Saturday hours” is a sentence any owner understands.
No vanity metrics, no guesswork: the report shows what AI actually said.
What the issuer saw
Top Business Awards US gave particular weight to whether results are tied to observable AI answers. It wrote that Bay Area AEO reports how often a business is mentioned, how it is described and which sources are cited, and it counted measurement transparency as one of the two factors that won the award. This principle is the reason.