AI search, in plain English
Vendors keep saying AEO, GEO, entities and schema. You nod along, then wonder if you are behind. You are not. The words are new, and most explainers are written for tech people. Here are 28 terms in plain English, and why each one matters for getting named.
AI search is when a seller asks ChatGPT, Google, Gemini, Claude, Perplexity, Copilot and more a question and gets a written answer. AEO and GEO are names for the work that gets you into that answer. The engines decide by matching: your name, address and phone (NAP) agreeing everywhere, an active Google Business Profile, steady reviews and a website with structured data machines can read. Google isn't judging you. It's matching you. AI doesn't pick the best agent. It picks the agent it can understand.
Part 1 of 4
What people mean by AI search, and the three names vendors use for working on it.
Asking ChatGPT, Google, Gemini, Claude, Perplexity, Copilot and more a question and getting a written answer instead of a list of links. More sellers now start this way: "Who is the best agent near me?"
Why it matters: If the answer names three agents and you are not one, that seller may never see your website.
Work that helps an AI engine pull a clear, correct answer about you: who you are, where you sell and why people trust you. Think of it as writing for the question, not just the keyword.
Why it matters: It is how you get named in the answer. Our AEO page goes deeper.
Work that raises the odds a generative AI tool mentions or cites you when it writes an answer. In practice it overlaps heavily with AEO.
Why it matters: Same goal, different label. Our GEO page explains the overlap.
The umbrella term: classic search engine optimization plus the extra signals AI engines check before they recommend anyone.
Why it matters: Ranking on Google and being named by AI now feed each other. See AI SEO for agents.
The AI-written summary that sits above the normal results on many Google searches, with links to the sources it used.
Why it matters: It often answers the seller before they scroll to you. See AI Overviews for agents.
A chat-style search mode inside Google where people ask follow-up questions and get conversational answers.
Why it matters: Longer conversations mean more chances for a seller to ask "who should I call?"
The technology behind ChatGPT, Gemini, Claude and others: a system trained on huge amounts of text that writes answers by predicting language.
Why it matters: It does not know you personally. It repeats what it can find and confirm about you.
Part 2 of 4
The pieces that let a machine be sure who you are.
A person, business or place a search engine recognizes as one specific thing. You, your team and your brokerage can each be an entity.
Why it matters: When you are a clear entity, engines stop guessing which "Jane Smith, Realtor" you are.
Google's giant map of entities and how they connect: agent to brokerage, brokerage to town, town to county.
Why it matters: Strong, consistent connections make you easier to recommend.
A source an AI engine links to or names when it writes an answer. Your website, Google profile, Zillow profile or a news article can be cited.
Why it matters: Being cited is the AI version of a referral.
Hidden labels on a web page that tell machines exactly what is on it: this is a real estate agent, this is her phone, these are her service areas.
Why it matters: Your site may look great from the road. AI reads what is behind the wall. See AI SEO.
The format Google recommends for writing schema markup, a small block of code in the page that people never see.
Why it matters: If your site has none, machines have to guess.
Schema that marks up questions and answers on a page so engines can lift them straight into results and AI answers.
Why it matters: Good FAQs answer the exact questions sellers ask AI.
A schema type built for agents: name, address, phone, areas served, reviews and more, all labeled.
Why it matters: It tells machines, in their own language, that you are an agent and where you work.
Part 3 of 4
What AI cross-checks across the web before it names anyone.
NAP means name, address and phone. Consistency means they read the same everywhere: Google, Zillow, Realtor.com, your brokerage page and dozens of directories.
Why it matters: Mismatched details leave 74% of businesses out of local results. See local SEO setup.
Your free business listing on Google Search and Maps, with reviews, photos, posts, hours and service areas.
Why it matters: Often the first thing a seller sees, and a source AI reads. See GBP optimization.
The block of three businesses with a map that shows up for local searches like "realtor near me".
Why it matters: Three spots. Everyone else is below the fold.
Reviews are what clients say about you in public. Velocity is how often new ones arrive.
Why it matters: A steady rhythm matters more than an old total. Our standard is one new Google review a week. See the review system.
Your listings on trusted sites like Zillow, Realtor.com, Homes.com, HomeLight, Yelp and industry directories.
Why it matters: Each one that matches is another witness vouching for you.
Google's shorthand for experience, expertise, authoritativeness and trustworthiness, the qualities its guidelines look for in content and sources.
Why it matters: Real names, real numbers and real reviews show it. Adjectives do not.
Part 4 of 4
The site-side terms you will hear from developers.
A proposed plain-text file at the root of a site that points AI tools to its most useful pages.
Why it matters: Helpful, but small. Off-site trust does most of the work.
The automated visitors AI companies send to read websites. Your robots settings can let them in or block them.
Why it matters: If your site blocks them, those engines cannot read you.
A search where the person gets the answer on the results page or in the AI answer and never clicks a site.
Why it matters: Your name has to be in the answer itself, not just on page one.
How strongly a site covers a subject. For an agent, that is your towns, neighborhoods and the questions sellers ask there.
Why it matters: One page per town you want listings in beats one page about everywhere.
Pages and posts about specific streets, neighborhoods, schools and market numbers in the places you sell.
Why it matters: It is how an engine learns that you, specifically, know that neighborhood.
A site that shows live MLS listings through an IDX feed, so buyers can search homes on your site instead of a portal. See IDX websites.
Why it matters: Buyers stay with you, and the site becomes a data source about your market.
When Google stores a page so it can show it in results. A page that is not indexed cannot rank.
Why it matters: New pages need to be found, crawled and indexed before they count.
A line in a page's code that tells search engines which URL is the official version when similar pages exist.
Why it matters: A wrong canonical can quietly hide a page from Google.
How these fit together
Think of four mailing addresses for the same house. A careful sender, which is what an AI engine is, will not mail anything until it is sure which one is right. Matching details, an active Google profile and authority profiles are how you become one clear address. That is getting found.
Reviews, a magazine-grade website, video and clear call buttons are what make a seller pick you once they see you. That is getting chosen. Nobody calls to tell you they picked someone else, so both halves matter.
The plan
No jargon required.
Ask ChatGPT, Gemini and Perplexity who the best agent in your town is. Write down who they name.
Make your name, address and phone match on Google, Zillow, Realtor.com, your brokerage page and your site.
Ask one past client a week for a Google review, and answer every review you get.
Ryan Comstock had been selling for 20 years and had 250 reviews, and he was stuck on page three while agents with about 50 reviews sat on page one. The cause was mismatched addresses and phone numbers. In his words: "I was confusing Google." After the fix, about $250K in year one. Lisa Peabody, RE/MAX in Wentzville, Missouri, had a seller find her on ChatGPT, and a seller who found her on Google gave her an $850,000 listing. Read Lisa's story.
Client proof, on video
They stopped chasing cold leads and let sellers who were already searching find them first.
“We’re not tech people. We’re just agents who wanted to be found.”
When a seller asks ChatGPT, Gemini or Google AI Mode to name a great agent, does your website make the list? Find out free, no signup.
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Picture next spring: a seller types four words at her kitchen table, reads your reviews, and has decided before your phone rings. AI doesn't pick the best agent. It picks the agent it can understand. Sellers call you. Not you calling sellers.
Definitions are written for real estate agents and simplified on purpose. Client results come from BulletProof clients and published case studies, are individual and are not a guarantee for any market. Google, ChatGPT, Gemini, Claude, Perplexity, Microsoft Copilot, Zillow, Realtor.com, Homes.com, HomeLight and Yelp are trademarks of their respective owners; BulletProof Real Estate Agent is not affiliated with or endorsed by them. REALTOR® is a registered trademark of the National Association of REALTORS®.
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