GEO: Being Seen in AI Queries

GEO — Generative Engine Optimization — is getting your business seen and cited inside AI-generated answers, the kind ChatGPT, Perplexity, Claude, and Google’s AI Overviews produce. SEO optimizes for a ranked list of ten blue links a person then clicks. GEO optimizes for the single synthesized answer an AI writes on your behalf — where there is no page two, and being cited by name is the whole game. The skills overlap, but the target changed: you’re no longer ranking a page, you’re becoming the source an answer engine quotes.

AEO — Answer Engine Optimization — is optimizing to be the direct answer to a specific question, in featured snippets, voice assistants, and AI answer boxes. GEO is the broader discipline of being present and recommended across generative AI systems. In practice they’re two names for the same shift: people ask a question and get an answer instead of a list. We treat AEO as the question-level tactics (write the clean, quotable answer) and GEO as the whole program — schema, citeable data, crawler access, and measurement — that makes those answers land on you.

You earn it by being the clearest, most specific, machine-readable source on the questions you want to own. Three moves do most of the work: put schema on every page so a machine knows exactly who and what you are; answer real questions in plain language with question-format headings, including the ones your competitors leave unanswered; and publish citeable specifics — real prices, timelines, and outcomes an engine can quote with confidence. Then let the AI crawlers in so the systems can actually read your work. Vague pages don’t get cited; specific, structured, honest ones do.

Yes — it shows up in analytics as referrals from chatgpt.com, perplexity.ai, and the like, plus a rising share of visitors who arrive already knowing your name because an AI recommended you. The volume is still smaller than classic search for most local businesses, but it’s growing fast and behaves differently: fewer visits, dramatically higher intent. The mistake is judging AI traffic by raw sessions the way you’d judge SEO. Judge it by what it does after it lands — and by then it’s usually your best-converting channel.

Because the comparison shopping already happened — inside the answer, before they reached you. When an AI recommends you by name, it has effectively vouched for you: weighed the options, filtered the field, handed the visitor a short list you’re on. That person arrives pre-sold, not price-shopping. Every signal we can see — industry reporting and our own client tracking — points the same way: AI-referred visitors are the highest-intent traffic we measure, converting on the order of three to five times classic search. Not a lab-certified constant, but a consistent pattern with an obvious cause.

Specific, verifiable, first-hand content — the stuff only your business can write. An answer engine is trying to be right, so it reaches for sources that commit to real detail: your actual prices, your real turnaround times, the exact process you follow, the outcomes you’ve produced, the edge cases you handle. Roundup fluff and keyword-stuffed “AI SEO” pages get skipped because they say nothing quotable. If a sentence could appear word-for-word on a hundred competitor sites, it’ll never be cited. If it could only have come from you, it’s exactly what an engine wants.

Yes, and it’s the cheapest edge available. Schema is structured data — a machine-readable label stating plainly what you are (a business, a service, an FAQ, a review, a price). AI systems don’t have to guess your hours, location, services, or the answer to a question when you’ve spelled it out in a format built for machines. Schema doesn’t buy a mention on its own, but it removes ambiguity — and ambiguity is what makes an engine skip you for a competitor whose data it can parse without effort. It’s the floor of real GEO, not the ceiling.

llms.txt is a simple text file at the root of your site — like robots.txt, but written for AI models. It’s a curated on-ramp: a plain-language map of your most important pages and facts, pointing an AI at the content you most want it to read and cite. The standard is young and not every engine reads it yet, so treat it as a low-cost bet, not a magic switch. The bigger, non-optional companion is making sure your robots.txt actually allows AI crawlers in — plenty of sites accidentally block the very bots they want to be seen by.

Ask the engines — on purpose, and on a schedule. Open ChatGPT, Perplexity, Gemini, and Google’s AI Overviews and run the questions a real customer would ask: “best [your service] in [your city],” “who should I hire for [your problem],” “is [your business] any good.” Write down whether you appear, how you’re described, and who shows up instead of you. Do it monthly, because answers change as models update and content gets re-crawled. You can’t manage visibility you never check — and most owners have never once looked.

No — and anyone selling you a shortcut is selling you a rank tracker with an “AI” sticker on it. There’s no ad slot inside an organic AI recommendation; the engine cites what it trusts. Most “AI visibility” tools just re-run the same keyword rank checks and rename the dashboard. What actually moves the needle is unglamorous and un-buyable: structured data, genuinely useful answers to real questions, and citeable specifics only your business can supply. That’s the moat — it can’t be purchased, which is exactly why it’s worth building.

Because SEO optimizes for a ranked list of links, and AI answers get assembled differently — the engine reads your page for clear, quotable facts and structured data, then decides whether to cite you by name. Classic SEO wins (backlinks, keywords, rankings) help, but they don't guarantee the two things AI leans on hardest: machine-readable schema and specific, first-hand answers only you can write. Plenty of sites that rank fine on Google get skipped by ChatGPT because their pages say nothing an engine can lift with confidence. GEO is the layer that turns “ranks well” into “gets cited.”

Because, right now, their pages are easier for the engine to trust and quote than yours. Usually it's one of a few things: they have structured data (schema) and you don't, they answer the exact questions in plain language while your site buries the answers in marketing prose, or they publish citeable specifics — real prices, timelines, outcomes — and you don't. Sometimes your robots.txt is quietly blocking the AI crawlers entirely, so the engine has never even read you. The fix isn't outspending them; it's becoming the clearer, more machine-readable source on the questions you want to own.

It's real, even if the acronym is new. The underlying shift — people getting a single AI-written answer instead of clicking a list of links — is already happening in ChatGPT, Perplexity, Gemini, and Google's AI Overviews, and it changes who gets seen. GEO is just the name for optimizing to be the source those answers cite. The hype is real too: plenty of vendors slapped “GEO” on the same old rank trackers. The discipline is legitimate; some of the products sold under it aren't.

The practice is legit; a lot of what's sold as GEO is not. There's no ad slot inside an organic AI recommendation and nobody can buy you a guaranteed mention — so any tool promising to “get you into ChatGPT” for a monthly fee is usually a keyword rank checker with an AI sticker on it. Real GEO is unglamorous and un-buyable: schema, genuinely useful answers, citeable specifics, and letting the crawlers in. If a pitch sounds like a shortcut, that's the scam version; if it sounds like patient, honest work, that's the real thing.

Less than people expect, because the core moves are cheap to do and expensive to fake — adding schema, answering real questions clearly, publishing your actual prices and timelines, and fixing your robots.txt costs mostly effort, not ad spend. A one-time setup on an existing site is often in the low four figures; an ongoing program that keeps producing citeable content is a modest monthly. There's no media budget to buy, which is the good news. Be suspicious of anyone quoting big recurring fees for a “GEO tool” — you're usually paying for a dashboard, not results.

You can absolutely start yourself — the fundamentals are learnable. Add schema to your key pages, rewrite your top questions as plain, direct answers, publish real specifics only your business can supply, make sure your robots.txt allows AI crawlers, and check monthly what the engines actually say about you. An agency earns its fee on the parts that are fiddly or easy to get wrong: correct schema at scale, the judgment about what's genuinely citeable, and consistent measurement. Do the basics now regardless of who you hire — they're the floor either way.

Because “regular Google” now opens with an AI Overview, and a fast-growing share of searches never produce a click at all — the answer arrives pre-written. Even for classic searches, more buyers check you in ChatGPT or Perplexity before they decide. GEO isn't a bet that search links die tomorrow; it's making sure you're the source the answer is built from, on the channel that's growing while blue-link traffic flattens. Waiting until it's obviously mainstream means arriving after your competitors are already the cited default.

Yes — and the visitors it sends tend to be your best. When an AI recommends you by name, the comparison shopping already happened inside the answer, so the person arrives pre-sold instead of price-shopping. The raw volume is still smaller than classic search for most local businesses, but the intent is far higher: our own client tracking and industry reporting point the same way, with AI-referred visitors converting on the order of three to five times classic search. It's a consistent pattern with an obvious cause, not a lab-certified constant — judge it by what it does after it lands, not by session count.

Four concrete things. Add schema markup so a machine knows exactly who and what you are; rewrite your most important pages so the answer to each question is stated plainly, in question-format headings, near the top; publish citeable specifics — real prices, real timelines, real outcomes — instead of generic filler; and check your robots.txt so you're not accidentally blocking the AI crawlers. None of it requires a rebuild. It's mostly making the facts you already have explicit, structured, and impossible to misread.

No — the tools are optional and most of the paid ones are overhyped. The work that moves the needle happens on your own site: schema, clear answers, citeable specifics, crawler access. The only “tool” you truly need is a habit — open ChatGPT, Perplexity, Gemini, and Google's AI Overviews once a month and run the questions a real customer would ask, then write down whether you appear and how you're described. Fancy “AI visibility” dashboards mostly repackage that free check with a subscription.

No — GEO and SEO feed each other, and dropping one to chase the other is a mistake. The same fundamentals that help you rank (fast pages, clear content, authority, structure) also help you get cited, and a page that ranks well is often the one an AI reads to build its answer. Think of GEO as an added layer on top of solid SEO, not a replacement — schema, plain answers, and citeable specifics that make your existing pages quotable. Keep the traffic you already earn from search; add the visibility you're currently missing in AI.