Generative Engine Optimization Guide

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO), also written as generative engine optimisation in the UK, is the practice of making useful, accurate website content easier for AI-powered search systems to discover, understand and reference. It focuses on answers and citations as well as visits. AI search optimization is a broader label for much of the same work.

For a business, the aim is not to convince a chatbot to repeat a slogan. It is to provide clear, trustworthy information that helps a potential customer compare options and make a decision. Better content and technical access can support that aim, but no agency can guarantee an AI recommendation or citation.

GEO vs SEO: what actually changes?

• SEO supports discovery in search results

  Traditional search engine optimisation improves crawlability, relevance, usability and authority so pages can compete for relevant searches. Useful measures include impressions, clicks, qualified enquiries and sales.

• GEO adds the answer and citation layer

  AI systems may combine several sources into one response. Your page needs to answer the question clearly and support its claims. Track whether the brand is mentioned accurately, which pages are cited and whether those visits lead to useful enquiries.

• AEO overlaps with both

  Answer engine optimisation describes making content useful for direct answers. These labels overlap rather than represent three separate technical systems. Clear writing and sound SEO remain the foundation.

Google explicitly says that its AI Overviews and AI Mode require no additional technical optimisation beyond existing SEO requirements. Eligible pages must be indexed and able to appear in Search with a snippet. GEO should improve your existing search programme, not replace it with an unproven set of tricks.

How ChatGPT, Perplexity and Google differ

• ChatGPT Search

  OpenAI identifies OAI-SearchBot as its search crawler. Search access and model-training permissions are separate: a site can allow OAI-SearchBot while disallowing GPTBot. Check both your robots.txt rules and hosting security settings. Allowing access is not a promise of inclusion.

• Perplexity

  PerplexityBot surfaces and links websites in search results. Perplexity recommends allowing it and its published IP ranges. Perplexity-User is a separate fetcher for user-requested visits and generally ignores robots.txt because a user requested the fetch. Do not treat every AI bot as a training crawler.

• Google Search and Gemini

  AI Overviews and AI Mode are Google Search features; the standalone Gemini app is a different experience. Keep Google Search crawling, indexing and snippet eligibility healthy, and make business facts consistent wherever they appear. Google Search guidance is not a guaranteed route into Gemini answers, which can vary by question and mode.

Seven practical steps for AI search optimization

1. 1

   Start with real customer questions. Gather enquiries from your sales team, contact forms and search reports. Group them into definitions, comparisons, costs, suitability and implementation questions. Choose the questions you can answer from genuine experience.

2. 2

   Check that public pages are accessible. Confirm important URLs load successfully, are not accidentally marked noindex, use the correct canonical address and are linked from relevant pages. Check robots.txt and firewall rules without exposing private or customer-only content.

3. 3

   Give the answer before the background. Open each section with a direct explanation, then add the evidence, examples and limitations. Use descriptive headings and readable HTML text rather than placing essential facts only in images or downloads.

4. 4

   Add evidence that is yours to share. Explain your process, show authorised project examples and link to primary sources. Give figures their dates, context and methodology. If results are confidential or unverified, describe the approach instead of inventing a number.

5. 5

   Make the business identifiable. Keep your organisation name, services, contact details and genuine service areas consistent. Use relevant structured data that matches visible content, such as Organization and Article. There is no special GEO schema that guarantees citations.

6. 6

   Connect related pages. Link a guide to the relevant service, an appropriate case study and a clear next step. Improve existing thin or overlapping pages before creating dozens of near-identical articles for different locations.

7. 7

   Measure and review. Record a baseline of useful search queries, referral visits and enquiries. Recheck a small, consistent set of AI questions over time and record the platform, date, wording, cited URLs and factual accuracy. Update content when the underlying information changes.

A worked example for a service business

Imagine a South Wales business offering CRM implementation. A page that only says “we deliver innovative solutions” gives a buyer little to compare. A more useful page explains who the service suits, the systems it can connect, what the discovery process covers, how data migration is assessed and what determines the scope.

It could answer “Can we keep our existing CRM?” in a short paragraph, follow with a checklist of compatibility questions and link to a genuine project example. This is an illustrative content approach, not a claim about a client result. The principle works for UK and Global audiences: specific, verifiable answers are more helpful than repeated keywords.

A manageable first-month GEO plan

• Week 1: establish a baseline

  Choose five important customer questions and the pages that should answer them. Record current search performance and AI answers. Check access and indexing before rewriting anything.

• Week 2: improve one priority page

  Add a direct answer, useful comparisons, genuine evidence and a clear next step. Assign a reviewer responsible for factual accuracy.

• Week 3: connect and clarify

  Add relevant internal links, check business details and validate structured data against the visible content. Fix factual inconsistencies in listings you control.

• Week 4: review the evidence

  Check crawling and search reports, referral visits and enquiries. Repeat your question sample and note variability. Continue improving useful pages rather than judging success from a single chatbot answer.

What to measure, and what not to promise

Keep visibility and business outcomes separate. A citation can be useful even without a click, but it is not a sale. Record identifiable AI referrals alongside enquiry quality and conversions, while recognising that apps and privacy settings can hide referral information. Google includes AI-feature traffic in its overall Search Console Web reporting, so those totals are not a clean GEO-only measurement.

Manual prompt checks are directional samples, not universal rankings: answers can change with wording, location, session and model. Avoid promises of a fixed position, guaranteed inclusion or a reliable time to results. An llms.txt file can describe a site, but it is not a substitute for accessible pages and is not required by Google for AI Search eligibility.

Frequently asked questions about GEO

Official sources and further reading

These recommendations draw on the platform documentation below, reviewed on 14 September 2026. Crawler behaviour and product features can change, so check the current guidance before altering access settings.

Turn clearer answers into a connected search strategy

Rha Marketing supports businesses through done-for-you delivery or consultancy with their in-house team. Start with the questions your customers ask, then connect useful content, your website and measurement around the next step.