GEO — the organic side of AI
Paid AI advertising rents you a place in the answer. GEO earns you one — and keeps it after you stop paying.
Quick answer
Generative Engine Optimization is the practice of shaping how AI models describe your business — the facts they hold about you, the language they reach for, the situations they recommend you in, and the competitors they name alongside you.
It is the organic counterpart to paid AI advertising. Paid places you in the answer while you pay. GEO makes you part of what the model actually believes, which does not switch off when the invoice does.
Renting the answer vs earning it.
This is the single most misunderstood thing in AI marketing right now, and getting it wrong is expensive in both directions.
A business that only buys AI placement has a visibility problem disguised as a solution. The moment the budget pauses — a slow quarter, a change of ownership, a decision to test something else — they vanish from the answer entirely, and they have built nothing.
A business that only does GEO has a speed problem. It works, it compounds, and it takes months. In a market where the inventory is currently cheap, being purely organic means watching competitors buy the position you were slowly earning.
Run both. Paid buys you time; GEO buys you permanence. The article below works through the arithmetic properly.
Six levers, in rough order of how much they move.
- Being described consistently everywhere
Models build a picture of you from many sources. If your own site, your directory listings, your social profiles and your press all describe you slightly differently, the model holds a fuzzy, low-confidence picture — and low confidence means it reaches for a competitor it is surer about.
- Statistics and specifics in your content
Content carrying concrete numbers, dates and named specifics is measurably more likely to be cited than content that makes the same point vaguely. The Princeton-led GEO study presented at ACM KDD 2024 found that adding statistics, quotations and citations lifted visibility in generated answers by up to 30–40% on its position-adjusted metric, while keyword stuffing performed worse than doing nothing. That 30–40% is the study’s upper bound for its strongest methods, not an average to expect.
- Citing sources yourself
Pages that reference authoritative outside sources tend to be treated as more citable themselves. It reads as a credibility signal to a model in much the same way it does to a person.
- Third-party corroboration
What other sites say about you carries more weight than what you say about yourself. Reviews, directories, local press, industry listings — the model is checking whether anyone else agrees with your description of yourself.
- Answering the questions actually asked
Not the keywords with search volume — the questions people put to an assistant in full sentences. Those are longer, more specific and far less contested.
- Being technically readable
Most AI crawlers do not run JavaScript and many respect robots directives strictly. A site that blocks them, or renders its content client-side, is invisible regardless of how good the content is.
Honestly, which means imprecisely.
There is no rank tracker for this. Anyone selling you a GEO dashboard with a single confident score is selling you a number they invented.
What can be done properly: define the real questions your customers ask, run them across the major assistants on a schedule, and record three things — whether you appear at all, how you are characterised when you do, and who appears instead of you when you do not.
That is a genuine measurement. It is noisy, because model outputs vary run to run, so we look at trend across repeated samples rather than treating any single answer as a result. It is the most honest instrumentation available today, and we would rather give you that than a fabricated score.
| What we track | Appearance rate, characterisation, and displacing competitors, across a fixed question set |
|---|---|
| How often | On a schedule, sampled repeatedly — never a single run |
| What we will not do | Report a single "GEO score" as if it were a rank position |
| What changes because of it | The question set, the content, and the off-site work — GEO measurement is a feedback loop, not a report card |
Questions we get asked
What is the actual difference between AEO and GEO?
AEO is about winning the citation — being the source quoted for a specific question. GEO is broader: it is about the model's overall picture of your business, which shapes every answer you appear in, including ones where nobody is quoted at all. AEO wins the citation; GEO wins the characterisation. They share most of the technical foundation.
Can you guarantee ChatGPT will recommend my business?
No, and nobody can. Model outputs vary, providers change ranking behaviour without notice, and there is no submission form. What we can do is make you the business it is easiest and safest for a model to recommend — consistent, corroborated, specific and readable — and then measure whether it works.
Is GEO just a rebrand of PR and SEO?
It borrows heavily from both and we would rather admit that than dress it up. The genuinely new part is that the audience is a model rather than a person or a ranking algorithm, and models weigh things differently — consistency across sources and factual specificity matter far more than they do for either PR or classical SEO.
How does GEO relate to the Everything Agent?
Directly. The knowledge base we build for the agent is the same structured, precise description of your business that GEO needs. Doing one makes the other substantially cheaper, which is a large part of why they sit in the same phase.
How long have you been doing this?
Since 2001. My Local Everything is merging with 1 On 1 Internet Marketing, founded that year, which has served more than 17,000 clients and affiliates across 25 years of local marketing.
Own the answer instead of renting it.
Paid placement disappears the day you stop. This does not.