Generative Engine Optimisation: A Practical GEO Guide
Updated: 13 October 2026.
Generative engine optimisation, usually shortened to GEO, describes work intended to improve how a business or its content appears in AI search experiences. For a small website, that work starts with accurate information, useful content, accessible pages and a clear route for customers to enquire or buy.
There is no single switch that makes every AI system recommend your business. A citation is not a visit, a mention can be inaccurate and a visit may never become a customer. Set a useful goal, improve the information and journeys you control, and measure each kind of evidence separately.
This guide is the overview. Use the linked tutorials for hands-on checks and the specialist guides for local, international, ecommerce and content work. You can begin with one important page rather than creating a separate AI publishing programme.
What GEO means and how it relates to SEO
GEO stands for generative engine optimisation. You may also encounter AEO, or answer engine optimisation, as a label for work focused on answering questions and visibility in answer-led experiences. These labels describe areas of marketing work; they are not official universal ranking systems.
Google treats optimisation for its generative AI features as part of SEO. Its guidance says the usual search foundations remain relevant and rejects requirements for special AI files, compulsory content chunks or special schema. That guidance is specific to Google Search, not a specification for every assistant.
Google’s official guidance for generative AI features in Search
SEO has always included more than rankings: clear content, technical access, sensible navigation and a usable website. AI experiences add questions worth investigating, such as whether an answer describes your services correctly or whether a relevant link is displayed. They do not make your existing customers, ordinary search visits or sales irrelevant.
Distinguish the experiences your customers use
| Experience | What to understand |
| Google AI Overviews | AI-generated summaries within Google Search. Keep their explanation separate from the AI Mode journey. |
| Google AI Mode | A conversational Search experience with follow-up questions and source links, including on desktop. |
| Standalone assistants | Products such as ChatGPT, Gemini, Copilot and Perplexity. Search access, citations and available actions vary by experience and settings. |
| AI agents | Software that can take steps towards a task using available tools and permissions, such as comparing options or preparing a booking. |
The Gemini assistant and Google’s AI search features are different experiences. Likewise, an assistant answering from a conversation or uploaded document is not necessarily searching the live web. Record the product, mode and conditions when you inspect an answer.
Avoid building a strategy around an old list of subscription requirements or claims that one assistant prefers a particular writing formula. Check current capabilities when they matter to a task. A useful explanation for people is a better starting point than unverified platform-specific rules.
Google AI Overviews a practical guide for businesses
Google AI Mode explained for small business owners
Choose the outcome before the tactic
For a service business, the useful outcome might be more suitable enquiries and confirmed bookings. For an online shop, it might be customers choosing the right variant and completing profitable purchases. A hobby site may value readers completing a tutorial or returning to a reliable resource.
Write down a real customer decision and the page that should help. Then decide what you need to investigate: discovery, accurate representation, recorded visits or the task itself. These questions require different evidence.
| Question | Useful evidence | Main limit |
| Do our pages appear? | Relevant impressions, citations or recorded answer samples. | Appearance is not a visit or unique audience. |
| Is the description correct? | Answers compared with approved business facts. | A sample does not represent every user or platform. |
| Do people visit? | Recorded sessions and landing pages. | Referrer and measurement gaps leave some activity unobserved. |
| Does the attention help? | Qualified enquiries, confirmed bookings, sales and relevant reader outcomes. | Attribution does not prove AI alone caused the result. |
| Can the task be completed? | A tested form, booking or checkout and its actual system record. | One successful agent test is not universal compatibility. |
Check access without confusing search and training
Open your important pages and check that they work. Review indexing, robots.txt, security challenges and blocked requests with the site maintainer. Check the particular crawler and request rather than switching every AI restriction off.
OpenAI documents OAI-SearchBot for ChatGPT search and GPTBot for potential model-training use. Those settings are independent: a site can allow the search crawler while disallowing GPTBot. A training restriction is therefore not automatically a search exclusion across every provider.
OpenAI’s crawler purposes and controls
Security services can also challenge or block requests independently of robots.txt. A control’s label does not establish the effect on every bot. Check the actual rule, affected requests and intended policy, then retest relevant pages after an authorised change. Keep a record so the change can be reversed if needed.
Check whether your website is blocking Google or AI search
Treat llms.txt as an optional information file
The llms.txt proposal describes a curated information file that can help relevant systems find useful resources. It is not a training-permission mechanism, an access-control file or a guarantee of attribution. Maintain it only when a real use case justifies the work.
Keep permissions and crawler controls in their appropriate provider and website settings. Google says it does not use llms.txt as a special visibility or ranking mechanism. Creating the file does not replace correcting the pages it points to.
What llms.txt does and does not do
Answer customer decisions with useful original input
Begin with the questions customers ask before choosing, comparing, buying and using your service. Connect a strong main guide with supporting pages when they serve genuinely different tasks. Link them where the reader benefits from continuing.
Google describes query fan-out as related searches generated to help answer a question. That is different from a customer asking a follow-up. Neither is a reason to publish a page for every wording variation. Plan around meaningful decisions and gaps in your information.
Content planning for customer questions and AI search
Add the evidence your business can supply: a tested process, a clear explanation of limitations, a real example with permission or an honest product comparison. Do not invent first-hand experience, case results or an author’s qualifications. Source external facts and explain relevant uncertainty.
Use headings, lists and tables when they make the answer easier to use. There is no compulsory chunk size or ideal word count. A concise answer can work well, while a complex decision may need a fuller explanation.
Use AI to support editorial judgement
An AI tool can help organise research, compare drafts or identify claims for review. A person still needs to verify the facts, sources, examples and author identity before publication. Review the title, description, image alternative text and existing markup too.
Google’s AI-content guidance emphasises manual checks for accuracy and trustworthiness. Producing many pages without useful added value can breach its scaled-content policies. Rewriting a newsletter or competing article at volume does not establish a distinctive contribution.
Google’s guidance on using generative AI content
How to use AI to write helpful SEO content
For an established archive, prioritise misleading advice and important reader tasks. Keep useful material, update what needs correction, combine true overlaps and archive historical resources honestly. Record substantive improvements rather than simply replacing the date.
How to refresh old content without creating more work
Keep business details and external evidence accurate
A customer needs to know what you offer, where you operate, when you are available and how to contact you. Keep those facts consistent across the relevant service pages, Business Profile, marketplace or directory entries. Use the real business name and genuine reviews.
Local SEO and accurate business information
For a shop, align visible prices, stock, variants, photographs, delivery and returns with feeds and applicable structured data. Accurate product information helps customers decide; it does not guarantee an AI shopping recommendation or make every shop eligible for in-chat checkout.
Ecommerce product information that helps customers buy
Earn relevant coverage through expertise, local partnerships, useful research or genuine customer stories. A backlink links to your page; a mention may name the business without a link; an AI citation references a source within an answer. They are different observations.
Do not manufacture reviews or present a paid placement as an earned endorsement. Judge outreach by audience relevance and lasting business value as well as any citation opportunity. A brand name repeated across irrelevant pages is weak evidence of a useful result.
Digital PR for small businesses in the age of AI search
Check answer accuracy separately from citation counts
Create an approved reference for your services, locations, prices or quote conditions and customer contact routes. Ask a small set of genuine customer questions repeatedly under recorded conditions, then compare the answers with those facts.
Log incorrect services, outdated locations and unsuitable recommendations. Save the question, platform, date, language, location, session and visible sources. Correct relevant owned pages or listings and retest. An answer that cites your site can still be wrong.
Keep business absence separate from factual error. A report saying an issue appeared in two of three runs of a specific question is a bounded observation. It is not a universal AI ranking, a market-share measure or the percentage of customers who saw that error.
How to check what AI search says about your business
Localise for the market as well as the language
An English page for customers in Warsaw may need the same złoty prices, local availability and service conditions as its Polish equivalent. Translation does not create a new market or make an unavailable product available.
Review local terminology, examples, trusted sources and the full contact or purchase route. Keep hreflang as a search implementation topic; do not assume every chatbot uses it to select a source.
Aleyda Solis’s October 2026 citation analysis found differences across sampled markets, topics and platforms. It used country-code domains as a local-source indicator and did not include Poland. That supports investigation by market, not a universal rule or a claim about all Polish answers.
Aleyda Solis’s local versus global citation analysis
International SEO and AI search beyond translation
Use schema and images for their actual roles
Structured data can describe visible page information and support eligibility for applicable search features. It is not a guaranteed citation mechanism. A schema.org type existing does not mean Google offers a corresponding rich result.
Keep visible FAQs when they help people, and verify current feature support before adding markup. Use Google’s Rich Results Test for Google-supported features and the Schema Markup Validator for broader vocabulary validation. Do not promise expandable FAQ results or AI citations from FAQ or HowTo markup.
Schema markup explained and current testing guidance
Choose useful images that represent the actual subject. Write text alternatives according to purpose, check product variants and keep preferred-image metadata consistent. Read important instructions as text rather than leaving the answer only inside a picture.
Image-input searches and Google Images results have different reporting definitions. Use the relevant filter when data exists and inspect the landing page before deciding what needs improvement. Missing observations do not establish an image defect.
SEO audit checklist with images and visual search
Measure exposure visits and results separately
Google Search Console
Google introduced dedicated Generative AI performance reports in June 2026, with worldwide rollout completed in August. They provide impressions in AI features, including AI Overviews and AI Mode. This visibility is already included in overall Search reporting; do not add it again as another audience.
Google’s Generative AI reporting announcement
Use the available page, market and device views to choose a useful investigation. A report may be unavailable or have little data for a property. Record that honestly, and do not infer AI visibility from a fall in ordinary search traffic.
Bing Webmaster Tools
Bing AI Performance reports citations across supported Microsoft and partner experiences in its public preview. A citation count is not visits, sales or a universal ranking. Retrieval phrases shown as grounding queries are not necessarily customers’ exact prompts.
Microsoft’s AI Performance introduction
GA4 and business records
GA4’s AI Assistant channel groups recognised assistant referrals. It excludes Google AI Overviews and AI Mode, whose unpaid search visits belong in Organic Search. Missing referrers or tracking gaps prevent a complete view of AI influence.
GA4 default channel definitions
Check completed enquiries and purchases, then use business records to assess quality and value. Keep event counts, unique leads and paid sales distinct. Do not calculate a combined click-through rate from Bing citations and GA4 sessions, which cover different experiences.
Branded searches, backlink alerts and customer comments can add context, but they are not direct substitutes for AI visibility reporting or proof that AI caused growth. A third-party tool may support a workflow; ask what it measures and what it misses.
How to measure SEO success when Search uses AI
How to track AI search visibility with free tools
Explore agents when a customer task justifies it
An agent may compare products or help prepare a booking using its tools and permissions. Being cited in an answer does not establish that an agent can complete that task. Clear labels, appropriate buttons, working forms and stable layouts are a practical first step.
WebMCP and UCP are evolving options for particular interactions and commerce setups. Check current support, eligibility and maintenance before investing. Most owners can improve an important ordinary customer journey before considering a protocol integration.
AI agents explained and website readiness
A manageable starting plan for a small business
This example is fictional. A garden-maintenance business wants suitable quotation requests within its actual service area. Its first review finds unclear area information and a form that does not explain when the owner will reply.
- Approve the service and location facts, then correct the main service page and important listings.
- Answer the questions customers ask about suitable jobs, exclusions and quotes. Add a genuine example if the business can substantiate it.
- Test the quotation form, receipt and measurement of a successful submission.
- Record the available Search Console and Bing visibility separately from GA4 visits and qualified enquiries.
- Sample a few relevant AI answers for factual accuracy, fix connected source errors and retest.
The owner reviews whether enquiries fit the business, rather than publishing a large set of prompt variations. If search traffic changes, they investigate tracking, technical access, seasonality and affected pages. A nearby Google update does not prove the cause.
How to investigate a traffic drop
Choose one next action, an owner and a review date. Keep useful changes even when a small sample cannot establish a search-performance effect. The aim is a more reliable business resource and a customer journey that works.
Frequently asked questions
Is GEO replacing SEO
No. It describes work concerned with AI search visibility. Google’s AI search guidance treats that work as part of SEO; other experiences need their own documented capabilities and measurements considered.
Can I guarantee a citation by adding schema or llms.txt
No. Neither guarantees selection or attribution. Use applicable markup accurately and maintain an optional information file only for a relevant use case.
Do I need a paid GEO platform to begin
No. Start with useful page and customer-journey checks, available first-party reporting and a small documented accuracy exercise. A paid tool needs a defined purpose and clear coverage limits.
