AI-ENABLED MARKETING
Generative Engine Optimization: Helping Your Business Get Found Through AI Search
A prospective customer asks ChatGPT to compare suppliers. Another uses Claude to understand a technical problem. A third turns to Perplexity to research a purchase.
For businesses, these interactions raise a practical question: when an AI platform answers a question relevant to your expertise, will your business be part of the answer—and will it be represented accurately?
Generative Engine Optimization, or GEO, focuses on improving that opportunity. It brings together clear content, accessible websites, credible evidence, and measurement to help businesses become more discoverable in AI-assisted research.
What is GEO trying to accomplish?
GEO is the practice of improving how a business and its content can be found, understood, and referenced in AI-generated answers.
The aim is to make your expertise useful when someone is researching a problem, evaluating options, or deciding whom to contact. That could mean an AI platform:
- Cites an article from your website.
- Includes your business in a relevant comparison.
- Accurately describes your services and areas of expertise.
- Directs a prospective customer to a helpful page.
These are different outcomes. A citation does not necessarily mean a recommendation, and a brand mention does not necessarily produce a website visit.
A useful GEO strategy defines which outcomes matter to the business and then tests whether its work is improving them.
How is GEO different from SEO?
Search Engine Optimization helps people discover your content through search engines. GEO extends that work to experiences where an AI system assembles an answer from information it can access.
Consider a business selling marketing analytics services.
A traditional search might be: Marketing attribution consultant
An AI-assisted question might be:
We advertise on Google and Meta, but our CRM and analytics reports disagree about where leads come from. What should we investigate, and what kind of specialist could help?
That second question contains a problem, context, and a potential buying need. Content explaining attribution discrepancies, investigation methods, and service scope could be useful in answering it.
| Area | SEO emphasis | Additional GEO emphasis |
|---|---|---|
| Discovery | Appearing in relevant search results | Being included or cited in a generated response |
| Content | Satisfying search intent with useful pages | Providing clear explanations and evidence that remain meaningful when summarized |
| Visibility | Rankings, impressions, and clicks | Brand mentions, source citations, and accuracy of representation |
| Measurement | Organic traffic and conversions | Sampled answer visibility, identifiable AI referrals, and resulting business outcomes |
The boundaries overlap. Search engines also generate AI answers, and AI platforms use search and retrieval systems.
Strong SEO foundations therefore remain valuable. Google, for example, states that its established SEO practices also apply to its AI search features, with no special additional technical requirements. That guidance applies to Google’s systems; it should not be treated as a universal specification for every AI platform. Google Search Central guidance
How does GEO relate to ChatGPT advertising?
GEO focuses on earning visibility through useful, discoverable content and credible information. Advertising involves paid placements. They can support the same marketing objectives, but buying advertising should not be treated as a way to secure organic mentions, citations, or recommendations in AI answers.
ChatGPT, Claude, and Perplexity
These platforms offer different experiences, but each creates opportunities for people to encounter information beyond a conventional search-results page.
ChatGPT, from OpenAI, can surface websites through its search features. OpenAI distinguishes the crawler used for search visibility from the crawler used for potential model training. Allowing search access and allowing training use are separate decisions. OpenAI crawler documentation
Claude, from Anthropic, can search the web and incorporate information into conversational answers with citations. An accessible, relevant explanation may therefore become a source when Claude researches a user’s question. Anthropic’s explanation of Claude web search
Perplexity uses web retrieval to support its search experience. Its documentation describes PerplexityBot as a crawler designed to surface and link websites in search results, separately from foundation-model training. Perplexity crawler documentation
An important distinction runs through all three: making content available for retrieval does not guarantee that it will be selected, cited, or recommended. Nor does every AI response involve a live web search.
What does useful GEO work look like?
At GROBYO, we view GEO as a practical extension of content, analytics, and customer acquisition. Our recommended starting point is the customer’s decision process.
Answer questions customers actually ask
Build content around the questions that arise before someone makes an enquiry:
- What does this service solve?
- When is it appropriate?
- What affects the cost?
- How does it compare with the alternatives?
- What information is needed to get started?
- What limitations or trade-offs should a buyer understand?
For example, “Why Google Ads and your CRM report different lead totals” gives a business owner a specific reason to read. It also creates an opportunity to demonstrate how you approach a real problem.
Make explanations clear enough to stand on their own
Give each page a clear purpose. Use descriptive headings, direct answers, and examples that explain the subject without requiring the reader to interpret vague promotional language.
A service description should identify what you do, whom you help, and what the work involves. A comparison should explain the conditions under which each option makes sense.
This is an editorial recommendation, not a promise that a particular heading format will trigger an AI citation.
Provide evidence that deserves attention
Original research, documented methods, expert explanations, and carefully supported case studies give people something substantive to evaluate.
If you publish a result, explain what was measured and any relevant limitations. If you make a factual claim, link to a reliable source. Make authorship and business identity clear.
Publishing large volumes of generic AI-written text is a weak substitute for demonstrating knowledge of your customers’ problems.
Check that public content is accessible
Review whether the public pages you want discovered can be reached by the relevant search systems. Access settings should distinguish public marketing content from private information.
Search visibility and model-training permissions also need separate consideration where the platform supports that distinction. Opening every crawler to every part of a website is not a GEO strategy.
Keep business information consistent
Use clear, consistent descriptions of your business, services, and areas served across your website and legitimate external profiles.
Correct conflicting or outdated information. The practical goal is to reduce ambiguity for anyone—or any system—trying to understand what your business does.
What are the potential benefits?
GEO can create additional opportunities to reach prospective customers during research and evaluation.
Earlier discovery. A useful explanation may introduce your business before a buyer knows which company or service to search for.
Better-informed enquiries. Someone who has already explored your approach may arrive with a clearer understanding of the problem and the help they need. Whether those enquiries convert better must be measured.
Greater visibility for specialist expertise. Detailed answers to narrow, commercially relevant questions give a business a way to demonstrate knowledge beyond broad marketing claims.
More useful website content. The work can improve the information available to prospects, sales teams, and existing customers, even when it does not produce an AI citation.
These are potential benefits, not guaranteed returns. AI systems can omit sources, summarize information incorrectly, or answer a question without sending the user to a website.
How should GEO be measured?
A screenshot of one favourable answer is a useful observation, but it is not evidence of sustained visibility.
We recommend assessing GEO at three levels:
Visibility: For a defined set of customer questions, does the business appear? Which pages are cited? Is the description accurate?
Engagement: Where referrals can be identified, which AI platforms send visitors, and what do those visitors do on the website?
Commercial outcomes: Do those visits contribute to relevant enquiries, qualified opportunities, or sales?
Repeat observations across comparable prompts and record the platform and search conditions. Answers can vary with wording, conversation context, and the information available at the time.
Attribution will also be incomplete. A person may discover a business through an AI answer and return later through search or a direct visit. Combining website analytics, CRM information, and customer-reported discovery can provide a fuller picture, while still leaving uncertainty.
Where should a business start?
Start with a focused pilot: one priority service, a small set of genuine customer questions, and a baseline of how your business currently appears.
Improve the pages that address those questions. Check public search access, strengthen the supporting evidence, and make the next step clear for interested readers. Then repeat the observations and assess the enquiries that follow.
For GROBYO, the purpose of GEO is to connect useful expertise with customer discovery—and connect that discovery with measurable business outcomes.
Explore the connected services
Want to understand how AI-assisted search fits into your marketing?
Talk to GROBYO about your content, visibility, and measurement priorities.
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