AI SEO and Generative Engine Optimization

AI SEO is the work of making your website and content understandable, trustworthy and citable for AI-driven search and answer engines like ChatGPT, Perplexity, Gemini and Google AI Overviews. Where classic SEO optimises for ranking in a list of links, AI SEO optimises for being chosen as the source behind the answer itself.

GEO is a broader term for AI SEO, drawn from research into how generative AI systems select and cite sources. The terms are often used interchangeably — GEO emphasises that the audience can now be a language model just as often as a person scrolling through search results.

Not directly. ChatGPT generates answers based on training data and, when it searches, on real-time results it retrieves and summarises. There is no visible ranking list, but the pages retrieved, understood and cited most often are the ones with clear structure, strong entity signals and content that directly answers the question being asked.

Yes, provided the AI system has grounds to do so. That requires your business to be clearly described on your website, in structured data, and across credible sources that show who you are, what you deliver, and why you are relevant to the question being asked.

The first technical improvements — structured data, entity signals, clearer page structure — can produce visible changes in AI answers within 4–8 weeks. Building genuine topical authority and a broad citation footprint across multiple AI engines typically takes 3–6 months, similar to classic SEO.

Traditional SEO optimises for a link to rank highly in search results. AI SEO optimises for your content to be understood, extracted and reproduced correctly in a generated answer — where the user may never visit the page itself. The two overlap heavily on the technical side, but prioritise differently: clear language, definitions, structured data and entity clarity carry more weight in AI SEO than in classic ranking work.

Entity SEO is about making it unambiguous to search engines and AI systems who and what your business is — as a distinct, recognisable entity rather than a collection of keywords. It is done through consistent name, address and phone information across sources, structured data with stable @id values, and an Organization entity linked to from every relevant profile.

Yes — structured data is one of the single most important levers for AI visibility. Schema.org markup such as Organization, Service, FAQPage and BreadcrumbList gives AI systems a machine-readable description of your content instead of forcing them to infer it from plain text. That reduces the risk of misinterpretation and increases the chance of correct citation.

Google AI Overviews are AI-generated summaries shown at the top of search results for many queries, answering the question directly with sources listed underneath. Becoming one of those sources often requires stronger semantic structure and clearer answers than a normal top-3 ranking needs.

We regularly check how your business is described and cited across ChatGPT, Perplexity, Gemini and Google AI Overviews for questions relevant to your industry, combined with classic signals such as Search Console data, structured data validation and indexing status. You receive a monthly report showing the trend.

AEO is a subset of AI SEO focused specifically on being chosen as the answer to a concrete question — typically in FAQ boxes, featured snippets and AI-generated direct answers. Clear, concise definitions and structured question-and-answer sections are the core of AEO work.

Yes. AI SEO builds on — and does not replace — technical SEO, solid Core Web Vitals and relevant content. Most AI systems still retrieve information from well-ranked, well-structured websites. Ignoring classic SEO to bet everything on AI weakens both.

AI SEO from Frameflow starts from NOK 6,500/mo excl. VAT. The price depends on how much technical work is required upfront, plus the scope of content and entity work. You always get a fixed monthly quote with no hidden costs.

Yes — often even better than for large players. AI systems value clear, specific and well-structured information over generic marketing copy, giving smaller, niche-focused businesses a real chance to be cited ahead of larger competitors with weaker entity signals.