# What is GEO? A practical guide for stores and manufacturers

GEO, or generative engine optimisation, is the work of making a business and its content useful when AI systems answer relevant questions. The practical goal is to be represented accurately, mentioned when appropriate and cited as a source. For a retailer or manufacturer, that starts with answering a buyer's decision, with information the business can substantiate.

GEO is not a submission service that places a website inside an AI model. It also does not replace SEO. [Ahrefs describes answer engine optimisation as building on SEO fundamentals](https://ahrefs.com/aeo/what-is-aeo); terminology overlaps across AEO, GEO and AI search optimisation. This guide uses GEO for work on AI answer visibility, without claiming all platforms retrieve or rank content in the same way.

![Search discovery and AI answer discovery involve different reader decisions](https://madeinred.com/media/self-geo-20261030/search-and-answers-en.svg)

*Original explanatory diagram. These are discovery paths, not a screenshot of an AI recommendation.*

## What changes when the answer appears before the visit?

In a conventional search journey, a person sees links, opens a page and evaluates the answer. An AI search interface may assemble an answer from several sources before the person visits any of them. A business can therefore be discussed without receiving a click. A page can also be linked while the brand itself is barely discussed.

Consider a buyer asking, “Which bottle-cutting setup suits a small craft workshop with mixed bottle sizes?” That is a decision with several conditions: workspace, compatible sizes, learning time, recurring supplies and the intended finish. A product page saying only “professional quality” leaves those conditions unanswered. A useful page explains what has been verified, what depends on the material and what the buyer should check before ordering.

For an industrial buyer, the equivalent question might concern a component's tolerance, operating environment and documentation. The content needs engineering facts, not a longer version of a retail advertisement. This is why the audience and decision should be defined before a keyword is selected.

## GEO and SEO: shared foundations, different observations

SEO helps people and search engines discover, access and understand web content. Those foundations remain useful for AI search: working URLs, readable text, coherent internal links, accurate facts and a usable website. Google's guidance states that there are [no extra requirements or special optimisations for its AI Overviews and AI Mode](https://developers.google.com/search/docs/appearance/ai-features). This guidance applies to Google's features; it is not a promise about every AI service.

| Question | SEO observation | GEO observation |
| --- | --- | --- |
| Can people discover the page? | Impressions and clicks for relevant searches | Whether a relevant answer mentions the brand or cites the page |
| Is the information useful? | Reader behaviour, search feedback and conversion evidence | Accuracy, context and usefulness of the observed answer and its source |
| Did it help the business? | Qualified visits and sales or enquiries | Identifiable AI referrals, assisted discovery and qualified outcomes |

The table describes what to observe. It does not imply that a ranking causes a citation, or that a citation causes a sale. Record both where possible. A page may perform well in ordinary search and still not appear in the particular AI answers you tested.

## Separate a mention, a citation and a recommendation

A **mention** means the answer names the business or product. It may be positive, neutral, critical or inaccurate. A **citation** means the answer links to a source. Inspect the exact URL: a third-party comparison mentioning your brand is different from a link to your own product page. A **recommendation** means the answer proposes an option for a stated need. A name in a long list is not necessarily an endorsement.

A fourth event is a **visit**. Someone follows a link and reaches the website. Analytics may identify some of those referrals, but missing referrers and subsequent visits limit attribution. An enquiry is a further event again. Keeping these definitions separate prevents a report from presenting a higher mention count as proven revenue.

![Mentions, citations, visits and enquiries are separate observations](https://madeinred.com/media/self-geo-20261030/measurement-en.svg)

*Each box needs its own evidence. The diagram does not imply that every person follows this sequence.*

## What should an ecommerce business work on first?

Choose a product or category where customers already have meaningful questions. Gather the current product page, operating instructions, support questions, returns reasons and verified compatibility facts. Then ask which decision is poorly supported on the website.

A short purchasing uncertainty may belong in an FAQ. A choice between genuinely comparable products may need a comparison page. A detailed maintenance problem may justify an article with photographs or diagrams. A visible operation may be easier to explain in a video. These formats serve different reader jobs; publishing the same introduction in all of them adds little value.

For example, a retailer might discover that customers confuse the supplied finishing materials with the materials needed for repeated use. The immediate improvement is a clear included/not-included answer tied to the correct product variant. A separate article could explain how to assess the finished edge, if the business has the necessary evidence. Neither task requires inventing a general “ultimate guide” to every use of the product.

## What is different for B2B manufacturers?

A manufacturer often needs to help an engineer decide whether a supplier is technically relevant before an enquiry. Useful content connects an application to specifications, tolerances, test conditions, documentation and the information required for a quote.

Start with one recurring qualification question: “What information is needed to quote a custom part for this application?” A complete answer might explain drawing revisions, material grade, finish, inspection requirements and delivery region. Each item must reflect the supplier's actual process. Do not invent certifications, capacities, lead times or previous customers because they make the page look complete.

The content can then connect to an appropriate product or quotation page. The reader should understand the next decision and what to send. A manufactured supplier ranking or an unsupported “best factory” claim does not provide that help.

## Does GEO require special files or a fixed answer length?

There is no universal word count that makes an answer eligible for citation. A definition can be short; a compatibility decision may need a table, caveats and a worked example. Write enough to resolve the question and make the facts checkable. Headings should identify useful sections, rather than force every sentence into a formula.

Structured data should accurately describe visible content. It is not a citation switch. Google's AI guidance also says that no special schema or AI text file is required for its AI search features. Separately, [OpenAI documents different purposes for OAI-SearchBot, GPTBot and ChatGPT-User](https://developers.openai.com/api/docs/bots). Permission for one crawler should not be treated as permission for all uses, and a simulated user-agent request is not proof of a visit by the official crawler.

A technical audit can identify access and content issues at a moment in time. It cannot establish how frequently buyers ask a question or whether a platform will recommend the business. Fix the actual access problem when one exists, then judge the answer's substance.

## How should you begin without buying a large tool stack?

Make a short list of questions from real customer conversations and existing search data. Mark any agent-generated additions as hypotheses. Group questions by the decision they support, check existing coverage and choose one gap that you can answer with reliable information.

Before publishing, save the relevant URLs, the current content and any AI answers you observe. Record the question, platform, date, market, language and search setting. Repeat comparable observations later and inspect the group rather than celebrating one favourable response. [Ahrefs recommends grouping prompts and combining them with traffic and other evidence](https://ahrefs.com/aeo/choose-prompts-to-track).

The useful first deliverable is a better answer to a real buyer question, with an owner and a place to publish it. The next task depends on the evidence: improve an existing page, create a distinct article, correct a misleading third-party description, or investigate an access issue. See the [content optimisation guide](/en/blog/geo-content-optimization) for a worked writing example and the [measurement guide](/en/blog/measure-geo-results) for the observation record.


Sources

- [Ahrefs — What is AEO?](https://ahrefs.com/aeo/what-is-aeo)
- [Google Search Central — AI features and your website](https://developers.google.com/search/docs/appearance/ai-features)
- [OpenAI — Crawlers and user agents](https://developers.openai.com/api/docs/bots)
- [Ahrefs — How to choose prompts](https://ahrefs.com/aeo/choose-prompts-to-track)