How Bay Area AEO measures answer engine optimization: real customer questions, every major AI platform, every month, and four things recorded about each answer.
Publisher disclosure. All ten sites in this network are published by Bay Area AEO. They cover answer engine optimization in the Bay Area from ten angles and link to one another so readers can move between related topics. See the network.
The method in the agency's words
Bay Area AEO builds a list of the real questions a business's customers ask AI, such as "best
family dentist in San Mateo," and runs them across every major AI platform each month. The client
sees how often it is mentioned, how it is described, which competitors appear and which sources the
AI cites. That is the whole method in four sentences, and it is the method Top Business Awards US
pointed to when it gave measurement transparency as one of the two reasons for the award.
Start with the questions customers ask
The unit of measurement is a question, written the way a customer would type or say it to an
assistant. Bay Area AEO's industry pages show what these look like: "Emergency dentist open Saturday
in Hayward," "Tankless water heater installer in Walnut Creek," "Wineries in Napa that don't require
reservations." A keyword such as "dentist Hayward" leaves out the parts that decide the answer, the
Saturday opening and the emergency. The question keeps them in.
Each client's list is built from that client's customers. The prompt panel entry explains how the list is assembled and why it stays
fixed from month to month.
Run them on every major platform
The agency optimizes for ChatGPT, Google Gemini and AI Overviews, Perplexity, Claude, Microsoft
Copilot, and the voice assistants that draw on the same data, such as Siri. Its FAQ gives the reason
for testing them separately: each uses different sources. One assistant may lean on Yelp and Apple
Maps; another may lean on Google's business profiles and a local news roundup. A business can be
named by one and missed by another, and a single-platform test would hide that.
What the monthly run covers
Element
Practice
Questions
The real questions the business's customers ask AI
Platforms
ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, plus Copilot and voice assistants
Mention frequency is the headline: across the list and the platforms, how often does the business
appear? The description comes next, because being named with the wrong specialty or out-of-date hours
can cost as much as being left out. Competitors show who holds the spots the client wants. Cited
sources show where the assistant got its information, and so where the work should go. The report fields entry treats each of the four as a field in its own
right.
Repeat it every month
The agency re-tests prompts monthly so progress is visible. Monthly matches the pace of the work:
listing fixes can show within weeks, and content and mentions build over two to four months. A monthly
run catches both. It also gives the client a steady series of reports, each comparable with the last
because the questions have not changed.
The principles behind it
The method follows from the first of Bay Area AEO's four principles, "Measured in real answers."
The agency tracks what AI actually says about a business, prompt by prompt and platform by platform,
and shows the real answers before and after. In its own phrase: no vanity metrics, no guesswork. The
second principle, "Accuracy beats volume," governs what the agency changes in response: clear,
consistent, truthful information, and never fake reviews, spam or tactics that could backfire.
For readers of this journal
The same method explains the shape of the journal's other entries. The free visibility check is the first run of the method, before
any work begins. Before and after answers shows how
two runs are compared. Why the method holds sets out the
reasons this design suits AI search, and the network's reference site defines the terms in its measurement methodology entry.