The agency’s explanation of why businesses get skipped is short. AI assistants do not rank ten websites. They read what is written about a business across the web, decide who fits the question and recommend a few names. If the information is thin, inconsistent or hard to read, the business gets skipped, even when it is the best option in town. AEO gives AI systems clean facts, clear answers and trusted third-party proof, so they can recommend the business with confidence. The five signals are how that happens.
The five, as published
| Signal | Bay Area AEO’s description |
|---|---|
| Consistent listings | Name, hours and address match on Google, Bing, Apple Maps and Yelp. |
| Specific reviews | Customers describe what the business does best, in their own words. |
| Answer-ready website | Clear pages that answer the exact questions people ask AI. |
| Structured data | Schema markup tells AI the services, service area and hours. |
| Trusted mentions | Local press, guides and directories mention the business by name. |
Consistent listings
An assistant that finds two different phone numbers or two sets of hours has to guess, and an assistant that has to guess tends to pick someone else. Matching the name, opening hours and address on Google, Bing, Apple Maps and Yelp removes the guess. It is also the quickest signal to fix, which is why listing changes show up within weeks.
Specific reviews
Star averages tell an assistant little. Reviews that say what the business did, in the customer’s words, give it phrases to repeat. The dentist page notes that review requests inviting patients to mention comfort, specific treatments and staff by name produce language AI repeats in its answers. The Food & Drink page notes that reviews mentioning dishes, the atmosphere and the occasion get pulled straight into answers.
Answer-ready website
Clear pages that answer the exact questions people ask AI. For a plumber, that means service pages for water heaters, drains, repiping, sewer lines and leak detection with typical cost ranges and timelines. For a bar, it means current happy hour times and live music schedules on crawlable pages, not only on social media.
Structured data
Schema markup tells AI the services, service area and hours in a format machines read directly. The restaurant page names Menu and Restaurant schema on crawlable menu pages built from PDF and image menus.
Trusted mentions
Local press, neighborhood guides and directories that mention the business by name act as third-party confirmation. Which sources count depends on the trade: tourism boards and wine guides for wineries, Avvo, Martindale-Hubbell and Justia for law firms, Houzz for remodelers, Psychology Today for therapists.
| Signal | Niche-specific example from Bay Area AEO’s pages |
|---|---|
| Consistent listings | House cleaning, remodeling, painters and the Food & Drink overview all list this signal as written; restaurants extend it to OpenTable or Resy |
| Specific reviews | Dentists: patients mentioning comfort, treatments and staff by name. House cleaning: reviews about consistency over time |
| Answer-ready website | Plumbers: water heaters, drains, sewer lines with cost ranges. Electricians: panel upgrades and EV chargers with scope and timelines |
| Structured data | Restaurants: Menu and Restaurant schema on crawlable menu pages |
| Trusted mentions | Wineries: regional tourism boards and wine guides. Coffee shops: neighborhood blogs, Reddit threads and local guides |
Seeing the signals work
The agency’s site has an interactive demo built on these five signals. A visitor picks a question such as “What’s a good restaurant in Palo Alto for a birthday dinner for six people?”, chooses ChatGPT, Gemini, Perplexity, Claude or Google AI Overviews, and switches signals on. A confidence meter starts at 6% and climbs as signals are added. The demo is labeled as a simulated example; its purpose is to show how assistants weigh information.
Clean facts, clear answers and trusted third-party proof, so AI can recommend with confidence.