Generative engine optimization — GEO — is the term that stuck for optimising content to be used inside AI-generated answers rather than listed in a results page. It is being sold aggressively as a new discipline. It is not quite that. A large part of it is SEO you should already be doing, and a small part of it is genuinely new and genuinely important. This post separates the two, because knowing which is which decides how you spend.
What is generative engine optimization?
Generative engine optimization is the practice of shaping content so that a generative system will retrieve it, use it as supporting evidence, and attribute the resulting statement to you. The output you are optimising for is a sentence inside someone else's paragraph, with your name next to it — not a blue link in position three.
That single shift explains most of the downstream differences. When the output is a synthesised paragraph, the model needs something it can defend. Vague claims cannot be defended, so they are dropped. Specific, sourced, self-contained statements survive.
What actually changes between SEO and GEO?
Six things change materially, and everything else is shared. Here is the honest split:
| Dimension | Classic SEO | Generative engine optimization |
|---|---|---|
| Unit of optimisation | The page | The passage — often a single paragraph |
| Primary goal | Rank, then earn the click | Be retrieved, then be quoted and attributed |
| Winning format | Comprehensive coverage, strong internal linking | Question headings, self-contained answers, tables |
| Off-site emphasis | Links, for authority transfer | Mentions, for entity resolution and third-party corroboration |
| Freshness | Matters on some query types | Matters more, because assistants prefer recently confirmed facts |
| Measurement | Rank position, impressions, clicks | Prompt-panel citation rate, brand mentions, referral quality |
What stays exactly the same?
Everything technical stays the same, and that is not a caveat — it is most of the work. A generative system cannot cite a page it cannot fetch, cannot parse, or has never indexed.
- Crawlability, indexation and canonical hygiene.
- Server-side rendering or static generation of main content.
- Site speed and Core Web Vitals, which affect crawl efficiency as well as users.
- Information architecture and internal linking, which is how topical relationships are inferred.
- Genuine subject-matter depth and first-hand experience.
- Topical authority built through clusters rather than scattered one-off posts, as in topic clusters and pillar pages.
If a vendor's GEO proposal does not open with a technical audit, it is not a GEO proposal. That is the same standard we hold ourselves to across our SEO engagements, whether or not the brief mentions AI.
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Does GEO need different content, or just different formatting?
In most cases it needs different formatting of the same content, not different content. The underlying expertise, examples and judgement that make a page worth reading are exactly what make a passage worth quoting. What changes is where you put the answer and how self-sufficient you make it.
There is one real content difference worth naming: generative systems reward pages that state their limits. A paragraph that says "this approach works for catalogues under about 5,000 SKUs; above that, the indexing behaviour changes" is more likely to be used than one that claims the approach works universally. Qualified claims are safer to synthesise, so they get chosen. Marketing instinct says remove the caveat. For GEO, keep it.
How does GEO change the traffic you can expect?
Plan for an uneven impact by page type rather than a flat decline across the site. Definitional and how-does-this-work queries are the ones most easily answered in place, because a paragraph fully satisfies them. Queries where someone wants to compare vendors, see a real product, check availability or buy something still tend to need a visit, because an answer cannot substitute for the thing itself. Segment your own Search Console data by page type before assuming which side you are on — the split differs by industry and guessing it is how budgets get moved to the wrong place.
The practical implication is a portfolio decision rather than a panic. Informational posts should be reframed as reputation and citation assets — their job is to make you the named source, not to be the traffic engine. Meanwhile, the pages that convert deserve disproportionate investment, which for retailers means the product and category work described in our ecommerce SEO services. Our fuller notes on which sources get pulled into AI results are in how Google AI Overviews pick sources.
Should you hire separately for GEO?
No, in almost every case. GEO is a scope addition to SEO, not a parallel function, and separating them produces two teams making conflicting changes to the same pages. The one exception is measurement: prompt-panel testing is genuinely new operational work and someone has to own it, but that is a task, not a department.
If you are structuring a budget, a reasonable split is to keep technical and content SEO as the base, add a fixed monthly block for restructuring existing high-value pages into question-first format, and add a small block for prompt testing and reporting. That is it. Anything more elaborate is usually packaging.
What is the single highest-return GEO task?
Rewriting the opening sentence beneath every heading on your top twenty pages. It is editing rather than engineering, it touches no templates or redirects, and it converts pages that have already earned authority into pages that can actually be quoted.
Do that before you commission anything new. Most sites are sitting on more unrealised citation potential in content they have already published than in anything still on the content calendar. Once that is done, the next tier is structured data and entity consistency, and after that off-site presence — in that order, because each one only pays off if the previous one is in place. If your stack makes those edits painful, that is a build problem rather than a marketing one, and our engineering team is usually the faster route to fixing it. The full workflow is laid out in our answer engine optimization guide, and the broader reference library sits in our guides section.
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