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generative engine optimisation vs search engine optimisation
GEO vs SEO
GEO vs SEO is often framed as a choice, as if AI assistants were replacing search and a business must pick a side.
Our perspective is that this framing is wrong for most B2B firms: generative engine optimisation adds requirements to the same pages that search engine optimisation already depends on.
Decide how to divide effort between search and AI visibility without duplicating content or abandoning what already works.
In the paper's benchmark, adding citations, quotations from relevant sources and statistics were among the methods that most improved source visibility in generated answers. arXiv: GEO: Generative Engine Optimization (Aggarwal et al.) ↗
Google states there are no additional requirements or special optimisations to appear in AI Overviews or AI Mode; supporting links must be indexed and eligible for a snippet. Google Search Central: AI features and your website ↗
New to the topic? Read the background on artificial intelligence.
generative engine optimisation vs search engine optimisation
what is the difference between GEO and SEO?
SEO optimises for a ranked list of links; GEO optimises for inclusion and credit in a written answer.
SEO success is a position and a click; GEO success is being one of the sources an assistant uses, being named, and being described accurately.
The reader is also different: SEO pages are read by people after a click, GEO pages are read by a model before any person sees them.
In GEO vs SEO terms, one measures where you rank and the other whether you are part of the answer at all.
SEO: ranking and clicks.
GEO: inclusion, mention and citation.
Different readers, same page.
generative engine optimisation vs search engine optimisation
where do GEO and SEO overlap?
Crawlability, relevance, authority and clear answers serve both.
Google says its AI features draw on the same systems and that standard SEO best practice applies.
Retrieval-based assistants run searches before answering, so pages that rank are more likely to be candidates.
A page that answers its question directly and cites its evidence tends to do well in both.
Google's documentation on AI features is the clearest primary source for the GEO vs SEO overlap: supporting links must be indexed and eligible for a snippet.
generative engine optimisation vs search engine optimisation
where do they genuinely differ?
Attribution, machine-readable formats and how success is measured.
An assistant may use your facts without linking, so GEO tracks mentions and descriptions as well as links.
Plain, structured versions of pages and explicit sourcing matter more when the first reader is a model.
Measurement differs most: search has Search Console, assistants have no equivalent, which is why a GEO audit relies on a fixed prompt baseline.
OpenAI's crawler documentation shows another GEO vs SEO difference: a site can allow search crawling while blocking training, a choice with no SEO equivalent.
| Check | What to establish |
|---|---|
| 1 | Track mentions, not only links. |
| 2 | Serve clean, structured text. |
| 3 | Baseline prompts by hand. |
generative engine optimisation vs search engine optimisation
should we create separate content for AI?
Usually not. Improve the pages that already own each question.
Separate AI-targeted pages tend to duplicate existing pages and compete with them, weakening both.
One owner page per question, built to the generative engine optimisation format, serves people, search engines and assistants at once.
Treating GEO vs SEO as two content programmes is how sites end up with cannibalising pages.
generative engine optimisation vs search engine optimisation
how should a B2B firm split effort between GEO and SEO?
Fix SEO foundations first, then add GEO requirements page by page.
If the site is not indexed or ranking, GEO work has little to stand on.
Once foundations hold, prioritise the questions buyers ask assistants during shortlisting, as described on our GEO agency page.
An AI SEO agency that runs both from one plan avoids the two efforts working against each other.
Read as a sequence rather than a rivalry, GEO vs SEO becomes a single plan with two sets of checks.
Foundations first.
Prioritise shortlisting questions.
One plan, not two teams.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to geo vs seo and enter its current workload. This gives you a baseline to discuss before buying training or commissioning a build.
A baseline is useful even if you decide to keep the process manual. Measure the work that matters, then compare quality and review effort as well as time.
Assess the workflow before changing it, or plan business AI training if the gap is how people use existing tools.
Your current workload
Estimate how much time the existing task takes before discussing geo vs seo.
16 hours per week
People × minutes × weekly tasks ÷ 60. A workload baseline from your inputs, not a prediction of AI time savings. Include review and support time when comparing a proposed workflow.
A useful AI investment leaves your team able to do the work and judge the result.
Continue with the right question
Where should you go next?
Use the overview for context, then follow the pages that match your delivery decision.
See our ai powered gtm service or read the geo and ai search visibility overview.
FAQ
Questions, answered
Evidence and further reading
Which sources support the guidance?
Source links support the specific background described here. The practical checklists and illustrative examples are predeploy’s guidance.
In the paper's benchmark, adding citations, quotations from relevant sources and statistics were among the methods that most improved source visibility in generated answers. arXiv: GEO: Generative Engine Optimization (Aggarwal et al.) ↗
Google states there are no additional requirements or special optimisations to appear in AI Overviews or AI Mode; supporting links must be indexed and eligible for a snippet. Google Search Central: AI features and your website ↗
OpenAI documents OAI-SearchBot for ChatGPT search and GPTBot for training, and states each robots.txt setting is independent. OpenAI: overview of OpenAI crawlers ↗
Background reading on the broader field of artificial intelligence. Wikipedia: artificial intelligence ↗
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GEO and AI search visibility
Be found, described and cited in AI answers as well as search.
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