AI SEO and Generative Engine Optimization
Become the brand AI search engines recommend. We build the entity SEO, structured data and content that make ChatGPT, Perplexity, Gemini and Google AI Overviews cite your business — not just rank it among ten blue links.
What is AI SEO?
In classic search, you type a question, get ten blue links, and choose which page to trust yourself. In AI-driven search, the user asks a model — Google AI Overviews, ChatGPT, Perplexity, Gemini, Claude or Copilot — which reads several sources, weighs them, and composes one combined answer. Your website no longer just needs to rank highly. It needs to be structured so a machine can extract the right information, trust that it is accurate, and reproduce it without distorting the message.
AI SEO
The work of making your content understandable, trustworthy and citable for AI-driven search and answer engines — not just searchable for traditional indexing crawlers.
GEO (Generative Engine Optimization)
A broader term for AI SEO, drawn from research into how generative AI models select and cite sources when composing an answer.
AEO (Answer Engine Optimization)
A more focused discipline within AI SEO: structuring content — definitions, FAQs, concise answers — so it gets chosen as the answer to a specific question.
Why traditional SEO is no longer enough on its own
Classic SEO is still necessary — but it is no longer sufficient by itself. When the answer is generated by a model instead of retrieved from a list of links, what actually counts changes.
| Dimension | Traditional SEO | AI search (GEO) |
|---|---|---|
| Goal | Rank as high as possible among ten blue links | Be selected as the source behind a generated answer |
| Success metric | Clicks, position and organic traffic | Citations and direct recommendations in AI answers |
| Content format | Long articles optimised for keywords | Concise, self-contained answers with clear definitions |
| Structure | Heading hierarchy for readability | Semantic HTML and structured data a machine can parse directly |
| Authority | Backlinks from relevant domains | Entity consistency across sources (sameAs, NAP, Knowledge Graph) |
| Timeline | Gradual ranking growth over months | Can shift quickly when models are updated or retrained |
| Audience | A person who clicks through to the page | A language model summarising on the user’s behalf |
Good AI SEO assumes a solid technical foundation. We build it through our work on classic search engine optimisation, then layer AI signals on top. Higher AI visibility means more enquiries. Combined with AI automation you make sure none of them go unanswered.
Our AI SEO framework
Eleven areas of work that together decide whether AI systems find, understand and cite your business. See real results in our client projects.
01
Technical SEO
A fast, mobile-friendly, crawlable website is still the foundation. AI systems that cannot index or render your site cannot cite it either.
02
Entity optimisation
We turn your business into a clear, recognisable entity — consistently named and described across your website, Google Business Profile, social profiles and industry directories.
03
Structured data
Schema.org markup such as Organization, Service, FAQPage and BreadcrumbList gives AI systems a machine-readable version of your content, so they don’t have to guess.
04
Content strategy
Content built around the real questions your customers ask — not keywords they statistically use, but the problems they are actually trying to solve.
05
Semantic SEO
We structure sentences and paragraphs so meaning is unambiguous to a language model — clear definitions, consistent terminology and answers that stand on their own.
06
Knowledge Graph signals
sameAs links, consistent NAP information and a well-populated Organization schema connect your business to Google’s and other AI systems’ entity graphs.
07
Digital PR
Mentions from credible, relevant sources strengthen both classic authority and AI systems’ confidence that information about you is accurate.
08
Authority building
Genuine expertise, author bylines and documented experience signal that your content is a reliable source to cite from — not anonymous marketing copy.
09
Topical clusters
The pillar-and-cluster structure gathers everything you know about a topic in a way AI systems can follow — demonstrating depth, not just breadth.
10
AI citation optimisation
We test and adjust how pages are actually reproduced in ChatGPT, Perplexity and Google AI Overviews, and fix what prevents correct citation.
11
Monitoring and iteration
AI models change continuously. We regularly check how your business is described across engines, and adjust strategy accordingly.
What we deliver
AI SEO — also called Generative Engine Optimization (GEO) — is the work of structuring your website and content so language models can understand, trust and cite it when answering a question. It builds on classic SEO but adds a layer of entity signals, structured data and semantic clarity that AI systems rely on to retrieve and reproduce information correctly. At Frameflow we combine technical SEO, Schema.org implementation and a content strategy built around real questions — so Google, ChatGPT and Perplexity alike can find, understand and recommend your business.
Includes
- ✓AI SEO audit of technical foundation and entity signals
- ✓Schema.org and structured data implementation
- ✓Entity SEO and Knowledge Graph optimisation
- ✓Content strategy built on topical authority
- ✓Semantic SEO and answer-first content structure
- ✓Internal linking under a pillar-and-cluster model
- ✓Optimisation for Google AI Overviews
- ✓Visibility work across ChatGPT, Perplexity and Gemini
- ✓Digital PR and authority building (sameAs signals)
- ✓AI visibility reporting — who cites you, and where
- ✓Ongoing monitoring and iteration
Our process
01
Discovery
We map how ChatGPT, Perplexity and Google AI Overviews currently describe — or overlook — your business, and what questions your audience actually asks AI assistants.
02
Audit
We review technical SEO, structured data, entity signals and content architecture against what AI systems need to retrieve and cite information correctly.
03
Strategy
We build a prioritised plan for entity SEO, topical clusters and content that answers real questions directly — grounded in your business goals.
04
Implementation
We implement structured data, fix technical issues, rebuild content into answer-first format and strengthen internal links between related pages.
05
Measurement
We track whether and how your business is cited in AI-generated answers, alongside classic rankings, traffic and Search Console visibility.
06
Continuous improvement
AI models are updated continuously, and the strategy should be too. We adjust content and signals based on what actually drives citations.
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