WHAT IS AI SEO? A PLAIN GUIDE TO GETTING FOUND IN AI ANSWERS IN 2026
By Ben Fildes · 7 July 2026 · 5 min read
- AI SEO is the work of getting your business named inside AI answers, not just ranked on a page of links
- It is not a replacement for SEO, it is an extension of it aimed at a new surface where the machine shortlists for the buyer
- The levers are answer-first content, machine-liftable facts, genuine mentions where AI reads, and measurement of your citations
- The first honest move is a baseline: find out how often AI names you versus your competitors before you spend on anything
AI SEO is the work of getting your business found and named inside AI answers, the responses that ChatGPT, Google AI Overviews, Perplexity and Claude hand people instead of a page of ten blue links. Classic SEO tries to rank your page so a human clicks it. AI SEO tries to make your business one of the handful of sources the machine cites when it answers a buyer's question. Same goal, get found, different surface. If your buyers are starting to ask an AI before they ask Google, AI SEO is how you stay visible in that conversation.
That is the whole idea in a paragraph. The rest of this is what it means in practice, and where people get it wrong.
Why the term exists at all
For twenty years, search was ten links. You optimised a page, you ranked, someone clicked, they landed on your site. The buyer did the shortlisting by scanning the results. Your job was to be one of those results and to win the click.
The AI answer changes who does the shortlisting. Now a person asks a full question and gets one synthesised answer that names a few sources. Google has rolled AI Overviews out across a huge share of searches (Google's own announcement covers what they are), and standalone tools like ChatGPT and Perplexity have trained a generation of buyers to ask rather than search. Gartner has gone as far as predicting traditional search volume will drop 25% by 2026 as this behaviour spreads.
When the machine shortlists, being on page one is no longer the finish line. Being one of the three or four sources the answer is built from is. AI SEO is just the name for optimising toward that.
What AI SEO is not
It is not a trick, and it is not a new set of dark-art hacks. Anyone selling you an instant AI-ranking button is selling you the version that gets your domain flagged. The models are getting better at spotting manufactured authority, not worse.
It is also not the death of SEO. I wrote a whole piece on why, in SEO vs GEO, but the short version is this: the same qualities that rank a page well, clear structure, real authority, genuine usefulness, are largely the same qualities that get it cited in an AI answer. You are not choosing between two opposed disciplines. You are extending one into new territory. Most of your SEO foundation is an asset here, not a liability.
You will see two other acronyms thrown around: GEO, for generative engine optimisation, and AEO, for answer engine optimisation. Treat them as near-synonyms for the same shift. GEO tends to mean getting cited by generative tools like ChatGPT. AEO tends to mean winning the direct answer boxes, including Google's. AI SEO is the umbrella over both. Do not let the alphabet soup distract you from the one real change: the machine now answers, and you want to be in the answer.
AI SEO is not a trick. It is four repeatable moves that make your business the source an AI answer cites, not the tenth link a buyer never scrolls to.
- 1Answer the question directly, up topmodels lift clean claims, not throat-clearing intros
- 2Make facts machine-liftableheadings, tables and schema an LLM can quote without guessing
- 3Earn mentions where AI readsgenuine presence in the reputable places models pull from
- 4Measure your citationshow often AI names you vs competitors, for the queries that matter
| Step | Detail |
|---|---|
| Answer the question directly, up top | models lift clean claims, not throat-clearing intros |
| Make facts machine-liftable | headings, tables and schema an LLM can quote without guessing |
| Earn mentions where AI reads | genuine presence in the reputable places models pull from |
| Measure your citations | how often AI names you vs competitors, for the queries that matter |
The four levers that actually move it
When we do this for a client, it comes down to four things, and I go deeper on each in how to get cited in AI answers.
Answer the question directly, at the top. Models lift text that states a claim cleanly. Bury your answer under three paragraphs of throat-clearing and the model quotes whoever said it plainly instead. Notice this article leads with the answer to its own title. That is not a stylistic quirk. It is the method.
Make your facts machine-liftable. A model trusts a clear number in a table far more than the same number floating in a sentence. Headings, tables and schema, the invisible markup that tells a machine what a page contains, are the difference between being quoted and being skipped.
Earn mentions where the models read. AI answers are built from the wider web, not just your site. Genuine, useful mentions in reputable places and communities your buyers trust feed the retrieval an answer draws on. This is not link spam. It is just good marketing pointed at a new reader.
Measure your citations. You cannot improve what you cannot see, and most businesses have no idea whether AI names them at all. The scoreboard is how often the major AI answers cite you, for the queries that matter, against the competitors who currently own those answers.
Who actually needs this yet
Honest answer: it depends on your buyers. The faster your audience adopted AI, the sooner this matters. If you sell to technical founders, marketers, or anyone who lives in software, a large chunk of them are already asking AI before they ask a person, and you are already late. If you sell to a slower, less online audience, the shift is coming but you have more runway.
Either way, the cost of getting ready is low, because making a page answer-first and liftable is mostly a habit, not a budget. The expensive mistake is publishing forty thin posts to chase it. A model does not reward volume. It rewards one genuinely authoritative, clearly structured answer on a domain it trusts. One page that is the best source on a real question gets cited over and over. Forty half-answers get cited never.
Where to start
The reason most people do nothing about AI SEO is that it feels abstract. "Am I in AI answers?" has no obvious answer, so it stays a worry instead of a task. Make it concrete. Get a baseline: for your actual domain, how often do AI answers name you against the competitors who own your space?
That baseline is the honest first move, which is why our AI Search product starts there with a free scan. See the number, look at who the answers name instead of you, and then decide how much of this is worth your attention. For most operators I speak to, seeing a rival cited where they are invisible is the moment AI SEO stops being a buzzword and becomes a plan.
Founder of Neon Gorilla. First Class BA in Marketing and an MSc in Enterprise and Innovation (Distinction) from Keele. Previously co-founded Beast Biltong with Eddie Hall, stocked in 2,000+ stores. Everything here is written from our own campaign logs, not theory.
More about Ben →Run a free scan on your own domain: see how often ChatGPT and Google AI Overview cite you versus your competitors. Then AI Search is how you close the gap. We owe you 1 client in 90 days, or it's free until you get one.