What do SEO, AEO and GEO actually describe?
SEO focuses on being found and useful in organic search
Search engine optimisation (SEO) is the established work of making pages accessible, understandable and useful to people who search. It includes technical foundations, site structure, original content, internal links and measurement. A page can appear as a traditional result, a featured snippet or another Search presentation. The goal is not simply a ranking; for a B2B company it is a useful match between a buyer's task and a page that helps the next decision.
Google's SEO Starter Guide covers these foundations. A B2B software firm, for example, may need a product category page, integration details and a fair comparison. Those pages give a buyer facts to verify, whether the entry point is a blue link or a generated answer. The B2B SEO services page owns the commercial service offer; this glossary explains how newer labels fit around that work.
AEO describes answer clarity, not a separate platform
Answer engine optimisation (AEO) is a marketing label for making an answer easy to locate and understand. A direct answer near a relevant heading, clear definitions, a short procedure and supporting evidence can help a reader, regardless of whether a search product extracts or summarises it. The term is used inconsistently: some people mean featured snippets, some mean voice responses, and some mean AI answers. Ask what surface a proposal actually targets.
An answer-first paragraph is useful only if it remains accurate and complete enough for the question. A security requirement or implementation constraint should not be compressed into a misleading one-line promise. Put the short answer on the page, then show conditions, sources, dates and next steps. The editorial test is whether a buyer could act on the page without needing the writer to clarify what was left out.
GEO describes generated-answer visibility and source use
Generative engine optimisation (GEO) refers to visibility in systems that produce answers using generated text. The term was formalised in the GEO research paper, which studied visibility within generative responses. In current marketing use, the scope often includes whether a company is mentioned, recommended or linked as a source in ChatGPT, Google AI features, Microsoft Copilot and other products. Those observations should not be collapsed into one score.
Generated answers may synthesise several sources and may change from one run to another. A brand can be mentioned without a link, a page can be cited without a brand recommendation, and a correct answer can lead to no website visit. Each outcome has a different business meaning. The B2B AI visibility audit gives a practical method for sampling prompts and logging those distinctions.
Where do the three approaches overlap, and where do they differ?
Use the buyer task as the common starting point
All three labels should start with the question a buyer is trying to answer. A procurement manager comparing vendors needs a different page from an engineer checking an integration or a finance lead asking about implementation cost. Clear page ownership, current facts and crawlable text support each journey. A paragraph that states a claim without proof will be weak for readers even if it is easy for an answer engine to quote.
| Label | Main question | Typical work | What to observe | Shared foundation |
|---|---|---|---|---|
| SEO | Can the right page be found for a buyer search? | Indexing, page map, useful content, links | Relevant queries, clicks, suitable enquiries | Accessible, accurate pages |
| AEO | Does the page answer the specific question clearly? | Direct answer, definitions, steps, caveats | Answer quality and appearance in answer-style results | Reader-focused structure |
| GEO | Is the company or page represented accurately in generated answers? | Source checks, fact correction, prompt audit | Mentions, citations, accuracy, referral visits | Trustworthy public information |
Industry labels overlap. This matrix describes common use, not official ranking categories or guaranteed placements.
The table is a way to allocate work, not a claim that a tactic belongs exclusively to one column. A strong integration guide can improve organic search visibility, answer a buyer's technical question and be cited in a generated response. A search engine or AI provider still decides whether to surface it. Do not pay three suppliers for three overlapping rewrites of the same page without a distinct deliverable.
What the platforms themselves say matters
Google's AI features documentation says there are no extra technical requirements or special markup needed for AI Overviews and AI Mode. An eligible supporting page must meet normal Search requirements and be able to show a snippet. Google points to crawlability, internal links, important content in text and structured data that matches visible content. That is strong reason to begin with SEO foundations before buying an invented “AI-only” technical fix.
OpenAI's crawler documentation explains that OAI-SearchBot supports ChatGPT search discovery and has a separate purpose from GPTBot. Allowing that crawler does not guarantee a citation. The correct site setting depends on the company's content-access policy and the pages it wants available for discovery.
Microsoft's Bing Webmaster Tools AI Performance preview reports citation activity on supported AI experiences. A citation count is not a rank or a verified sales outcome. Different products expose different measures; compare each with its own prior period and definitions rather than adding them into a single supposed share of all AI answers.
How should a B2B team choose the next piece of work?
1. Name the buyer question and page owner
Take one high-value task from sales or customer conversations. Decide which existing page should answer it: service, product, use case, integration, comparison or guide. If two pages compete for the same task, choose an owner and clarify internal links. This is ordinary search strategy, but it prevents an AEO or GEO project from scattering duplicate answers across the site.
Write down what a useful answer must contain. For a vendor comparison, that may be current scope, prerequisites, limitations and a fair description of alternatives. For an implementation question, it may be a sequence, an integration requirement and an owner. Do not invent a customer example to make the page seem authoritative.
2. Check access, accuracy and answer structure
Confirm that the page is indexable where intended, linked from a relevant parent page and readable in text. Then check the first answer under the relevant heading: does it resolve the question, state important conditions and point to proof? Correct stale pricing, feature or compliance claims with a named reviewer. Add schema only when it accurately describes visible content; Google explicitly says there is no special AI feature schema requirement.
A technical fix may be the right first task if the page is blocked or renders no useful text. If the page is accessible but vague, improve the explanation before building more pages. If the answer is sound but a third-party listing misstates the offer, seek a factual correction. The diagnosis determines the work, not the acronym on the proposal.
3. Measure the intended surface and buyer result separately
In Search Console, review relevant page and query performance. Google also offers generative AI performance reports for eligible impressions and pages in its AI features. For ChatGPT or other answer products, freeze a realistic buyer-prompt set, then log the answer, date, mention, citation and accuracy. In analytics and CRM, track actual visits, enquiries and qualification. The B2B SEO measurement framework can connect these levels without claiming that one sampled answer caused a deal.
If a page improves in search but does not appear in one AI sample, that alone does not prove failure. If a generated answer mentions your brand yet nobody enquires, check buyer fit and the next step. Use a repeatable review interval and keep the original prompt set so the next comparison has a meaningful baseline.
When would a separate AEO or GEO brief be useful?
A separate brief is useful when it describes a distinct job: a prompt-audit baseline, a review of source accuracy across public listings, or a targeted rewrite of pages that fail to answer common buyer questions. It should name the pages, the responsible experts, the evidence required and the metric that will be reported. It should also acknowledge what the provider cannot control.
If the brief mainly relabels existing technical SEO, content and digital PR tasks, combine them into one plan. The B2B SEO strategy page shows how to prioritise pages by buyer value, and the AI search service page describes the wider visibility work. A useful first step is a small page and prompt audit, followed by one measurable correction—not a promise to “rank in ChatGPT.”
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