What actually changed
For twenty years search worked one way: you typed something, you got a list, you chose. Now a large share of searches return a written answer at the top, assembled from a few sources, with the list pushed below it. Many people read the answer and stop. If your business is not inside that answer, you were not in the running at all — the click never existed to be lost.
The mechanics are different too. Traditional search matches a page to a query. An AI answer is assembled from sources the model considers reliable on the topic, then attributed. So the goal shifts from ranking a page to being the source that gets quoted — which depends on how clearly your content states facts, how consistently your business is described across the web, and whether the model can parse your pages at all.
The short version
Write content that answers real questions directly and early. Make your business unambiguous — same name, same description, same facts everywhere. Mark it up so machines can read it. Get mentioned on sites these models trust. Then measure whether you are being cited, because nobody's analytics reports this by default.
An honest note: this field is two years old and moving. Nobody has a decade of case studies, and anyone claiming a guaranteed method is selling certainty that does not exist yet. What we do know is that the fundamentals — clear content, consistent entity data, real authority — are what these systems reward, and they are worth doing regardless of how the tools evolve.
The four surfaces that matter
Each behaves differently and each needs checking separately. Being cited in one does not mean being cited in the others.
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What the work covers
Writing that gets quoted
A model extracting an answer needs a passage it can lift cleanly. Marketing prose that circles the point for four paragraphs before saying anything is unusable to it. These are the patterns that get picked up.
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Entity clarity: making your business legible
These systems build a picture of your business from everything they have read about it. If half the web calls you one thing and half another, if your description differs on every profile, if nobody states plainly what you do and where — the picture stays blurry, and a blurry entity does not get recommended.
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Let the right crawlers in
AI systems use their own crawlers, separate from Googlebot, and many sites block them by accident — or on purpose, following advice written for publishers protecting paid content. For a business that wants to be recommended, blocking them removes you from the answer entirely.
Usually allow
The crawlers that fetch pages to answer a live question and cite the source — OAI-SearchBot, PerplexityBot, Google-Extended for AI features. Blocking these is choosing not to appear.
Your call
Crawlers that collect content for model training rather than for citing you, like GPTBot and CCBot. Publishers often block them; most businesses gain more from being known than they lose. We explain the trade-off rather than deciding for you.
How this gets measured
This is the hardest part and where most agencies go quiet. There is no Search Console for AI answers, so measurement is partly direct testing and partly reading the traffic signals that do exist.
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How the engagement runs
Honest timelines
Citation behaviour is less predictable than ranking. Some pages get picked up within weeks of publishing; others take months while the model's picture of your business firms up. Anyone giving you a guaranteed date is guessing.
Who this is for
Worth doing now
Businesses whose customers research before buying — services, software, education, healthcare, B2B, anything considered rather than impulse. Also anyone already ranking well who is watching clicks fall while rankings hold, which is the signature of AI answers taking the traffic.
Do the basics first
Sites that are not yet ranking in ordinary search, or that have unresolved technical problems. AI SEO builds on the same foundation — crawlable, clear, credible — so there is no shortcut that skips it. Fix technical and content first; this layers on top.
Questions we get asked
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Find out if AI mentions you
Tell us what your customers would ask. We run those questions through ChatGPT, Gemini, Perplexity and Google's AI Overviews and send you what comes back — who gets named, and whether it is you. No charge.
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