The cycle in five stages
Bay Area AEO measures its work in real answers. Each month it runs a fixed list of customer questions across the major AI platforms and reports what changed. The method is short enough to state in a sentence, and the agency publishes it on its home page, so any client can see the same answers it reports on.
| Stage | What Bay Area AEO does |
|---|---|
| 1. Question list | Build a list of the real questions the business's customers ask AI, such as “best family dentist in San Mateo” |
| 2. Platform run | Ask every question on ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews |
| 3. Answer record | Record what each assistant says, prompt by prompt and platform by platform |
| 4. Report | Show how often the business is mentioned, how it is described, which competitors appear and which sources are cited |
| 5. Repeat | Re-test the same prompts each month and show the answers before and after |
What each report shows
The monthly report has four fields. Together they answer the question a business owner actually has: when my customers ask AI, am I in the answer, and is it saying the right things about me?
| Field | What it records | Use |
|---|---|---|
| Mention frequency | How often the business is named across the question list | The core visibility figure |
| Description | The words each assistant uses about the business | Shows whether AI describes it accurately |
| Competitors named | Which other businesses appear in the same answers | Shows who AI prefers today |
| Sources cited | The pages and listings the assistant drew on | Points to the next fix or mention to pursue |
Why the panel is built from real questions
Customers rarely ask an assistant for a category alone. They ask for a dentist who takes a named insurance plan, a contractor who handles rebates or a restaurant that suits a birthday dinner for six. Each constraint changes which businesses qualify. A panel built from those exact questions measures the answers customers see. The table below shows one published question from each industry page.
| Industry | Question |
|---|---|
| Food and drink | “Where should I take my parents for dinner in Walnut Creek? Somewhere quiet with good wine.” |
| Health and wellness | “I need a chiropractor in Fremont for lower back pain. Someone who doesn't just crack and send you home.” |
| Professional services | “I need a CPA in San Jose who works with startup founders and handles equity compensation.” |
| Home services | “Who should I call to replace my gas furnace with a heat pump in Concord? I want someone who handles the rebates.” |
Why monthly, and why every platform
Assistants draw on different sources. Gemini and AI Overviews lean on Google's index and Google Business Profile data, Copilot leans on Bing, and ChatGPT and Claude read the pages they retrieve when they search, as does Perplexity. A fix that shows up on one platform can take longer on another, so the agency checks each platform separately. A monthly cadence matches the timelines it states: listing fixes can show within weeks, so the first re-test catches them, and the two-to-four-month build phase spans several reports.
This method is the second half of the award. Top Business Awards US wrote that the agency runs the real questions customers ask across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews each month and reports how often a business is mentioned, how it is described and which sources are cited. Bay Area AEO states the principle in its own words: no vanity metrics, no guesswork.
Reading a report over time
A single report is a snapshot. The value of the cycle comes from the series: the same questions, asked the same way, month after month. A rising mention count shows the business entering more answers. A description that moves from generic to specific shows assistants learning what the business does best. A new source in the citations column often marks the moment a fresh listing, page or press mention started to count.