A few years ago, "getting found online" meant one thing: showing up on the first page of Google. That's no longer the whole picture.

A growing share of buying research now starts somewhere else entirely — inside ChatGPT, Perplexity, Google's AI Overviews, or Gemini. Someone asks "who's a good plumber near me" or "what should I budget for a new website" directly to an AI assistant, and it answers with a short list of sources it trusts enough to cite. Your business is either one of those sources, or it doesn't exist in that conversation at all.

The practice of optimizing for that kind of visibility has a name: GEO, short for Generative Engine Optimization. It's SEO's newer sibling, and it plays by some different rules.

SEO and GEO aren't the same game

Traditional SEO is about ranking — earning a spot on a results page a human scrolls through and clicks. GEO is about being selected — earning a mention inside an answer a human never has to click through to read.

That distinction changes what "winning" looks like. You can rank on page one of Google and still never get cited by an AI Overview, because AI engines aren't just re-ranking the same ten blue links — they're pulling specific facts, sentences, and structured data from a wider set of sources and synthesizing an answer.

How AI engines actually decide what to cite

Nobody outside the AI labs has the exact formula, but the pattern is consistent across the tools we've tested: AI engines favor content that answers a specific question directly, in plain language, near the top of the page — not content that makes a reader scroll through three paragraphs of throat-clearing to get to the point.

They also lean heavily on structured data. Schema markup — the behind-the-scenes code that tells a machine "this is a business," "this is an FAQ," "this is an article with this author and this date" — gives an AI engine a much easier time understanding and trusting your content than plain, unstructured text does.

Google's algorithm rewards relevance. AI engines reward clarity. Those aren't always the same piece of writing.

What we've actually done on our own site

We didn't just write about this — we applied it. Our site publishes a file at /llms.txt, a plain-language summary of who we are, what we do, and where our key pages live, written specifically for AI crawlers to parse quickly. Every article on this site carries structured Article schema with a clear headline, author, and publish date. It's a small, low-cost addition, and it's exactly the kind of signal AI engines are increasingly built to look for.

Practical steps for a small business site

You don't need an engineering team to start showing up in AI search. A few things move the needle disproportionately:

Answer the specific question, not the general topic. A page titled "Plumbing Services" is less citable than a page or paragraph that directly answers "how much does a water heater replacement cost in Buffalo." Specificity is what gets pulled into an answer.

Add FAQ sections with real questions. Not filler questions — the actual questions customers ask before they call you. Structure them clearly, with the question stated plainly and a direct, complete answer underneath.

Mark up your content with schema. Article, FAQPage, LocalBusiness, and Organization schema all give AI crawlers structured facts to work with instead of forcing them to guess from prose.

Note

Quick way to check where you stand: ask ChatGPT or Perplexity a question a potential customer might ask about your industry and your area. If your business doesn't come up, that's a visibility gap — not a ranking problem you can fix with more keywords, but a clarity and structure problem you can fix with better-organized content.

What doesn't work anymore

Keyword stuffing, thin "10 tips" listicles with no real substance, and content clearly written to satisfy a search algorithm rather than answer a real question all perform worse in AI search than they ever did in traditional SEO. AI engines are explicitly built to detect and deprioritize exactly that kind of content — which, ironically, makes genuinely useful, specific, well-organized writing more valuable now than it's been in years.

Common questions

Does GEO replace SEO? No, it sits alongside it. Most fundamentals — fast pages, clear structure, real expertise — help with both. But a few tactics, like structured FAQ content and machine-readable summaries, are specifically GEO-focused and don't do much for traditional rankings.

How long until I see results in AI search? There's no reliable public data on this yet, since the tools themselves are still evolving quickly. The safest approach is treating GEO as a compounding investment, the same way good SEO always was: businesses publishing clear, well-structured content now will have a head start once AI search becomes the default starting point for more buyers.

Do I need to rebuild my whole website for this? Almost never. Adding schema markup, tightening FAQ content, and making sure your most important facts are stated directly and early on the page usually covers the bulk of it.

This is still an early, fast-moving space — early enough that most small businesses in Buffalo, and most local competitors anywhere, haven't started paying attention to it yet. That's exactly the kind of gap worth closing before it closes itself.

Note

Want the short version to keep handy or share with your team? See our SEO vs. GEO quick reference guide — a scannable side-by-side comparison with an infographic.