In short
GEO vs. SEO: GEO extends search optimisation to how brands and sources appear in AI-generated answers. Crawlable pages, verifiable facts and clear business information remain the foundation. Additional research surfaces require additional measurement. Track mentions, source links and qualified enquiries separately before changing budgets. Meeting technical requirements never guarantees that a system will cite a page.
Technical SEO and reliable information remain the foundation.
Brand mentions and source citations measure different things.
Start with customer questions and identifiable content gaps.
What is the difference between GEO and SEO?
GEO vs. SEO describes two perspectives on discoverability. SEO improves the foundations for visibility in search results. GEO also considers how a business or source is represented in generated answers. These are not separate websites: the same service explanations, product documentation and references may support both tasks.
A search results page presents links, snippets and other elements. An AI system may assemble information from several sources into an answer. Businesses therefore face an additional practical question: is the offer represented accurately while a potential customer is still researching? That question is more useful than seeking visibility for every conceivable prompt.
Which foundations still apply?
Google's documentation says established SEO practices remain relevant to its AI search features. It does not require a dedicated GEO file or special AI markup. This statement concerns Google's products; it should not be generalised to every other system. It does justify fixing known technical problems before buying speculative shortcuts.
Inspect one important service page. Can a visitor find its key information as text? Do useful internal links lead to it? Does structured data reflect the visible information? Turn any failure into a specific task with an owner. An abstract claim that a website is not AI-ready gives an implementation team much less to work with.
Which information should a business prioritise?
Prioritise information that changes a buying decision: suitable use cases, implementation requirements, limitations, cost components and alternatives. A useful page explains where an offer fits and where it does not. Repeating a brand name throughout an article adds little to that explanation.
Our proposed workflow starts with a fact register. For each offer, record the responsible subject specialist, scope of the claim, review date and supporting evidence. The register may later become a public table. Its immediate purpose is to identify contradictions between the website, proposals and external profiles.
Task | Specific check | Useful output |
|---|---|---|
Technical access | Inspect the important page and its main text | An actionable issue with an owner |
Clarity | State use cases, limits and prerequisites | A precise service description |
Evidence | Associate important claims with sources | A maintainable fact register |
Observation | Record fixed questions and context | A comparable baseline |
Which metrics should remain separate?
A mention describes a brand appearing in an answer. A citation identifies a linked source URL. A qualified enquiry requires another action and a separate business process. Improvement in the first measure does not establish improvement in the other two.
For example, an answer might name one business as an alternative while linking to a competitor's explanatory article as evidence. Both appear, but perform different roles. Combining them into one unexplained visibility score makes it harder to choose a useful next action.
What should the first month look like?
Choose one product line and one market. Gather recurring questions from sales conversations. Identify which existing pages should answer them. Review those pages, record recurring inaccuracies in observed AI answers and correct facts the business can substantiate itself.
Week 1: define the audience, question groups and baseline.
Week 2: prioritise technical obstacles and inconsistent information.
Week 3: improve one reviewed core page and its internal links.
Week 4: repeat the same observation and record dated changes.
This is a proposed work schedule, not a promise of results within four weeks. Its purpose is to produce reviewable changes and observations. An additional generic article or one isolated before-and-after screenshot does not provide that record.
When should you hire outside help?
External support becomes useful when analysis, factual approval and implementation are disconnected. Before committing, ask which markets and pages are included, who publishes changes, which questions are monitored and what raw data you receive. These deliverables can be evaluated before an agency makes a performance claim.
Cover: AI-generated thematic illustration, not an actual photograph.
Which articles help with the next decision?
Frequently asked questions
Does GEO replace SEO?
No. This framework treats technical SEO as a foundation and adds work on representation in AI-generated answers.
Is llms.txt mandatory?
Google does not list it as a requirement for AI Overviews or AI Mode. Creating a file alone does not demonstrate improved visibility.
Is a brand mention a lead?
No. A mention describes an answer. A lead must be captured and qualified through a separate business process.
Sources
- AI features and your website , Google Search Central
- Optimizing your website for generative AI features , Google Search Central
