GEO Services – Generative Engine Optimization for AI Search
AI systems answer questions by citing sources. Becoming one of those sources is a different job from ranking first.
How a page earns an AI citation
Three stages. Anyone selling you a completely separate discipline here is overstating the gap.
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Your page answers the question
The information is genuinely there and a reader would find it useful.
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Nothing in it is quotable
No specific figure, comparison or direct answer, so a system summarising the topic has nothing to attribute to you.
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The page becomes citable
A clean direct answer, specific verifiable detail, and structure a retrieval system can lift from confidently.
People have started asking AI assistants the questions they used to type into Google. “Who’s the best accountant in Leeds?” “Which CRM suits a small agency?” The assistant answers, names two or three businesses, and the conversation ends there.
If you are not one of the names it gives, you were never in the running. There is no page two to climb to.
Generative Engine Optimization (GEO) is the work of making your business the one those systems cite. It overlaps with SEO but it is not the same job.
Why GEO Is Not Just SEO
Traditional SEO competes for a position in a list. GEO competes to be quoted inside an answer.
That changes what matters. A language model is not scanning for keyword density. It is looking for content it can extract a clean, confident, attributable statement from. Pages that ramble, bury the answer, or hedge everything get passed over in favour of pages that state things plainly.
The awkward truth is that a lot of content written to rank well reads badly to a model, because it was padded to hit a word count.
What I Do
Extractable answer blocks
Content restructured so the answer to each question sits in a clean, self-contained passage a model can lift without needing the surrounding page. Question as heading, direct answer immediately beneath, detail after.
Entity clarity
Making unmistakably clear what your business is, what it does, where it operates and what it is associated with. Models work on entities and relationships. Vague copy produces vague associations, and vague associations do not get cited.
Schema and structured data
Hand-written markup so machines read your facts as facts rather than inferring them from prose.
Corroboration
Models weigh whether a claim is supported elsewhere. Consistent information across your site, your profiles and third-party mentions makes you a safer thing to quote.
Visibility tracking
Monitoring whether ChatGPT, Perplexity, Gemini and Google’s AI Overviews actually name you for the questions that matter, so this is measured rather than assumed.
An Honest Word on Measurement
GEO is newer than SEO and the measurement is genuinely less mature. AI assistants do not publish rank data, answers vary between users and sessions, and referral traffic is often invisible in analytics.
Anyone selling you guaranteed AI rankings is overstating what the field can currently do. What I can do is track citation frequency across the questions that matter to you, and show movement over time. That is real, but it is not the tidy dashboard traditional rank tracking gives you.
How I Measure It
Measurement was the weakest part of GEO until mid-2026. It is now workable, though still incomplete.
Search Console generative AI report
Google added dedicated generative AI reporting in June 2026, isolating impressions from AI Overviews and AI Mode by page. It shows impressions only, with no clicks or query data, so it tells you that you appear and not what it was worth.
A separate analytics channel
AI referrals grouped into their own channel rather than folded into organic, because they behave differently and averaging the two destroys the signal.
Crawler activity in server logs
Which AI crawlers fetch which pages, and how often. Rising crawl on a section usually precedes citations from it, which makes this the leading indicator.
Direct citation checks
Asking the systems your buyers actually use the questions your buyers actually ask, and recording who gets named. Manual, but it is the only method that shows the wording.
What GEO Cannot Do
Three honest limits, because this field attracts more confidence than it has earned.
It cannot make you citable if you have nothing specific to say. These systems quote facts, figures and clear positions. A page of competent general prose gives them nothing to attribute, and no amount of formatting fixes that.
It cannot deliver the volume of organic search. For nearly every site I look at, traditional search still supplies the overwhelming majority of valuable traffic. Rebuilding a strategy around a channel sending a fraction of a percent of sessions is a misallocation, not a bold bet.
It cannot be guaranteed. Nobody controls whether a model cites you. Anyone selling guaranteed AI citations is selling certainty, which is a much easier product than the actual work.
The Honest Version: What GEO Cannot Do Yet
This field is about three years old.
Anybody claiming a proven, repeatable system for ranking inside AI answers is describing something that does not exist yet. I would rather tell you what is actually known and what is still guesswork.
What is genuinely established
AI systems cite sources they can parse, attribute and trust. Clear structure, explicit statements of fact, strong entity signals and existing search authority all measurably help. That much is consistent across every model I have tested against.
So the work is real. It is just not magic, and it looks a great deal like doing semantic SEO properly with the extraction layer taken seriously.
What nobody can promise
Which model cites you tomorrow. The systems change constantly, without notice and without changelogs. A page cited by ChatGPT in March may not be in June, and no one outside those companies can tell you why.
Anyone selling guaranteed AI citations is selling certainty that does not exist in this field.
The measurement problem, stated plainly
This is the part most providers skate over.
There is no Search Console for ChatGPT. Referral traffic from AI assistants is under-reported, inconsistently tagged, and in some cases invisible. So when I report on this, I am combining direct citation testing, referral patterns where they exist, and branded search movement.
That is honest measurement rather than a clean number. If you need a dashboard with a confident line going up, this channel cannot give you one yet, and I will not fake it.
Where AI Citation Actually Changes The Business
It matters far more in some markets than others. Roughly where it lands.
Considered B2B purchases
Buyers now ask an assistant to shortlist vendors before they contact anyone. If you are not in that shortlist, you never learn you were excluded. This is the highest-stakes version of the problem.
Software and SaaS
“What is the best tool for X” is one of the most common prompts there is. Being named consistently in those answers is now worth roughly what page one used to be.
Professional services
People ask assistants to explain their situation before they ring anyone. The firm that gets quoted while the problem is being explained starts the relationship with an advantage nobody else can see.
Local services
Less developed so far, and moving quickly. Assistants increasingly name specific local businesses, and the ones with clear entity signals and consistent details are the ones getting named.
Ecommerce
Product research is shifting into assistants faster than most retailers realise. Specifications, comparisons and honest limitations are what get quoted. Marketing copy does not.
Where it matters least
Impulse purchases and anything decided visually. If nobody researches before buying, there is no conversation for you to be cited in, and your money is better spent elsewhere. I will say so.
Why Me
Two kinds of people sell GEO right now.
The first rebranded their SEO deck and changed the title slide. The second genuinely believes a checklist of formatting tricks controls what a language model says.
I build with these systems rather than only optimising for them. The automation tools I write use the same models, which means I have a working understanding of how they retrieve, weigh and attribute a source, rather than a theory assembled from other people’s blog posts.
It also means I know where the limits are. That is why the measurement section above says what it says instead of promising you a number.
Pricing
What you need |
Starting at |
|---|---|
GEO built into monthly SEO |
$80/mo (Bronze) · $99/mo (Silver) · $199/mo (Gold) |
One-time GEO restructure |
$999 |
AI visibility monitoring tool |
From $1,499 |
Common Questions
Is GEO replacing SEO?
No. Google search is still far larger than AI assistants. GEO is an additional channel, and the sensible move is to cover both rather than bet on one.
Does GEO work hurt my Google rankings?
The opposite, usually. Clear structure, real schema and directly answered questions help conventional rankings too. That is the main reason it is worth doing now.
How is this different from AEO?
They overlap heavily. AEO is usually framed around direct answers, featured snippets and voice. GEO is framed around being cited inside generated responses. In practice I do them together.
Do I need llms.txt?
No. Google has published guidance that the file neither helps nor hurts rankings, and no major AI provider has committed to reading it in production. I wrote about the evidence separately rather than repeat the claim.
Should I block AI crawlers instead?
Only if your business model is selling access to the content itself. If you use content to be found, blocking makes you harder to find while leaving you fully visible in ordinary search anyway.
Which pages get cited most?
Consistently the specific, factual, clearly structured ones rather than broad overview guides. Your own generative AI report will tell you which of yours, and it is usually not the pages you optimised hardest.
Want to know which pages get cited?
A 20 minute review. I will read your generative AI report and tell you what you are currently credible on.
Or email info@shazzseo.com