AI SEO and AIO

Two labels, one goal

The five names in circulation for this field describe the same goal from slightly different angles. Two of them, AI SEO and AIO, are often used by business owners who first meet the topic through Google. Bay Area AEO defines them as follows. AI SEO: “SEO adapted for AI-powered search, including Google's AI Overviews and AI Mode.” AIO: “A broader label for making a business easy for AI systems to understand, trust and recommend.”

The table sets all five labels side by side, in the agency's wording.

As the agency puts it in its FAQ, the labels are different names for the same goal: getting a business recommended in AI-generated answers. This reference follows that usage and keeps a separate entry for AEO, GEO and LLM SEO.

AI SEO in detail

AI SEO starts from the search engine. Google now writes an AI Overview above its regular results for many questions, and its AI Mode answers a question in conversational prose with links to the sources it drew on. AI SEO is the part of the work that makes a business eligible to be named in those two places.

Much of classic SEO carries over. Google's systems still need to crawl and index a page before they can use it, a Google Business Profile still holds the categories and hours, the attributes and the reviews Google reads for local questions, and structured data still states facts so the system need not infer them. What AI SEO adds is attention to the written answer: whether the overview names the business, what it says, and which pages it cites. The entry on Google AI Overviews explains how those summaries are assembled.

Readership is high. Bay Area AEO publishes estimates, according to Pew Research (June 2026), that 60 percent of adults read Google's AI Overviews. The table applies the agency's published estimates to five South Bay cities.

The agency's Mountain View page describes that city's residents in one line: “Mountain View customers are among the most AI-fluent in the world. When they ask for a Castro Street restaurant or a local contractor, the businesses AI understands best get named. We help yours be one of them.” For a business in a city like that, the AI Overview is often the first thing a customer reads.

AI Mode and conversational search

Google's AI Mode carries the AI SEO question one step further. It answers a question in prose, lets the person ask follow-ups, and links the sources it drew on. A customer can start with “Ramen on Castro Street in Mountain View” and narrow it with a second question about opening times or vegetarian options, and each turn is a new chance for a business to be named or dropped.

For a business this rewards completeness. The first answer may come from the Google Business Profile; the follow-up may come from the menu page or a review that mentions the dish. A business whose details are spread across clear, crawlable pages can keep its place through the whole conversation.

How AI SEO reporting differs

Classic SEO reports positions, clicks and traffic. AI SEO adds the written answer to the report. The question is no longer only where a page ranks for a phrase; it is whether the AI Overview for a real customer question names the business, what it says, and which pages it cites. Bay Area AEO reports in those terms and describes its approach as “no vanity metrics, no guesswork.”

The two kinds of report sit comfortably together. A page that ranks well is more likely to be retrieved for an overview, and an overview that cites the page sends a reader who already has a reason to trust it. The AEO vs SEO entry sets the two disciplines side by side.

AIO in detail

AIO is the widest of the labels. It covers any AI system that might describe or recommend a business, including chat assistants, the AI features inside search engines and maps, and voice assistants that draw on the same data, like Siri. The three verbs in the Bay Area AEO definition (understand, trust, recommend) describe a sequence. A system has to understand what the business is before it can weigh whether to trust it, and it has to trust it before it will recommend it.

Voice is the part of AIO that business owners most often forget. A customer who asks Siri for a locksmith or a pharmacy while driving hears one or two names read aloud, with no screen to scroll. Those spoken answers draw on the same listing data the text assistants use, Apple Maps in Siri's case, so the consistency work that serves ChatGPT and Gemini also serves the voice answer.

Each verb maps onto a part of the agency's service list. Understanding comes from consistent listings and structured data. Trust comes from specific reviews and mentions in sources the system already relies on. Recommendation follows when the business's pages answer the exact question the customer asked.

Worked example: a Palo Alto electrician

Home services show how AI SEO and AIO meet in one request. “Electrician in Palo Alto to upgrade my panel for an EV charger and heat pump?” The question names a city, two appliances and a job. Google may answer it with an AI Overview; a chat assistant may answer it with a short list. Either way the system needs to find electricians whose public information covers panel upgrades for EV chargers and heat pumps in Palo Alto.

Bay Area AEO lists the electrician signals that serve this. Project pages give each job type, from panel upgrades to EV chargers, its own page with scope, timeline and price context. Utility and permit expertise: “How you handle permits and PG&E coordination, which is a common source of anxiety for homeowners.” Older home experience: “Content on knob-and-tube, ungrounded outlets and older panels in Bay Area homes.” A licensing signal completes the set, with CSLB C-10 license details displayed and consistent with state records, so the system can confirm the business is what it says it is.

Worked example: a San Jose heat pump installer

A second demonstration question from the agency reads: “HVAC company in San Jose that installs heat pumps and knows the rebate programs?” Rebates make this question time-sensitive and local, so the answer depends on current pages. The HVAC signals include electrification content, meaning clear pages on heat pumps and mini-splits that also explain rebates and the Bay Area's appliance rules, and seasonal readiness (“AC and heating content timed for heat waves and cold snaps, when AI demand spikes.”).

The San Jose page explains why specificity carries so much weight there: “AI assistants handle that density by being selective. Ask for "the best birria in East San Jose" or "a contractor in Almaden Valley for a kitchen remodel" and you'll get two or three names. We help San Jose businesses earn those spots with neighborhood-specific content, consistent listings and the kind of review language AI repeats.” That passage describes AI SEO and AIO in local terms: selective systems, dense competition, and a small number of names for each question.

How Bay Area AEO applies AI SEO and AIO

The agency's work covers ChatGPT, Google Gemini and AI Overviews, Perplexity, Claude, Microsoft Copilot and voice assistants such as Siri. Because each platform uses different sources, Bay Area AEO covers the listings and directories each one relies on, along with the content. Google's surfaces lean on the Google Business Profile and Google's index; Copilot draws on Bing and Bing Places; Siri draws on Apple Maps data. AI SEO, in this practice, is the Google-facing share of a wider AIO effort.

Progress is checked the same way across all of them. Each month Bay Area AEO re-runs the business's customer questions and shows the real answers before and after, so the owner can see whether the AI Overview, the chat assistants and the voice answers have picked up the changes.

See also: Google AI Overviews · Answer engine optimization · AEO vs SEO · AEO glossary