AI SEO Tools and Generative Engine Optimization
Optimise for generative search: run an AI Overviews analyzer on your queries, find entity gaps, and track AI referral traffic from assistants.
What is generative engine optimization (GEO) and AI SEO
Generative engine optimization, shortened to GEO and sometimes called LLMO, is the work of being cited by systems that write an answer instead of listing ten links: Google AI Overviews and AI Mode, ChatGPT, Perplexity, Microsoft Copilot. It does not replace SEO. The same crawling, indexing and relevance still decide whether a page can be quoted at all — GEO adds the question of whether the passage is quotable once it is found.
AI SEO is a new discipline focused on earning visibility in AI-generated search experiences — primarily Google AI Overviews (formerly Search Generative Experience), but also AI assistants like ChatGPT, Perplexity, and Microsoft Copilot. These systems synthesise answers from multiple sources rather than simply ranking pages. The goal shifts from "rank at position 1" to "be cited as a source in the generated answer."
Google AI Overviews appear at the top of SERPs for roughly 15–20% of queries (concentrated on informational and complex multi-step questions). When they appear, they absorb a significant share of clicks that would otherwise go to the top organic results. Early data suggests pages cited in AI Overviews receive referral clicks from the citation links — but the net click-through for non-cited organic positions drops. Monitoring your AI Overview presence is becoming as important as tracking traditional rankings.
The key signal for AI Overview inclusion appears to be structured, factual content with strong E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals: clear first-person expertise demonstrations, cited sources, author credentials, up-to-date factual content, and comprehensive entity coverage. Pages that directly and concisely answer specific questions outperform long-form content that buries the answer in narrative.
Entity gap analysis compares the knowledge graph entities your page mentions against those covered by competitors and top-ranking pages for the same query. Entities are real-world objects Google recognises in its Knowledge Graph: people, products, organisations, places, concepts, and their relationships. Pages with richer, more accurate entity coverage are judged more authoritative on a topic — both in classic search ranking and in AI source selection.
Content gap analysis extends this to topic clusters: subtopics, questions, and angles that competitors cover but your page omits. For AI-powered search, content gaps are especially costly — if your page doesn't contain the information the AI needs to answer a related follow-up question, it will be excluded from the citation pool for that query variant, even if you rank well for the head term.
Frequently Asked Questions
What is the difference between GEO and SEO?
Generative engine optimization decides whether a passage gets quoted inside a generated answer; SEO decides whether the page is crawled, indexed and considered relevant in the first place. GEO runs on top of SEO rather than instead of it: a page that Google cannot index cannot be cited by anything built on that index.
What are Google AI Overviews?
AI Overviews are AI-generated answer summaries that appear at the top of Google search results for certain queries, above the organic links. Google synthesises information from multiple web sources and cites them with links. They appear most frequently for informational queries, how-to questions, and multi-step research tasks. Unlike featured snippets (which pull a single passage from one page), AI Overviews combine information from several sources into a coherent answer.
How do I optimise my pages for AI Overviews?
The most effective signals for AI Overview inclusion: (1) Direct, concise answers to specific questions in the first paragraph under a relevant heading; (2) Structured content with clear H2/H3 hierarchy covering related subtopics; (3) Strong E-E-A-T signals — author credentials, cited sources, first-hand experience demonstrated in the content; (4) Up-to-date factual information with publication and update dates visible; (5) Rich entity coverage — mention the relevant people, products, concepts and organisations connected to your topic; (6) Schema markup (FAQ, HowTo, Article) to make your content machine-readable.
What is an entity gap and how do I close it?
An entity gap is the difference between the Knowledge Graph entities mentioned by top-ranking competitor pages and those present on your page for the same target topic. If your competitors' pages about "espresso" mention barista, crema, portafilter, tamping, extraction time, and Maillard reaction — and yours only mentions espresso machine and coffee — Google infers your page has shallower topical coverage. Closing the gap means identifying the missing entities through competitor research and naturally incorporating them into your content where they add value for the reader.
Will AI search reduce organic traffic overall?
Yes, for purely informational queries where users get a complete answer from the AI Overview without needing to visit a page. Data from early AI Overview rollouts shows CTR drops of 15–25% for informational head terms where AI Overviews are shown. However, commercial and transactional queries (where users need to visit a site to complete a purchase or get a quote) are largely unaffected. The strategic response is to diversify content toward commercial and conversion-oriented pages while optimising informational content for AI citation (which still drives referral clicks).
How is AI SEO different from traditional SEO?
Traditional SEO optimises for ranking signals: keyword relevance, backlinks, technical health, and CTR. AI SEO adds a new layer: optimising for being selected as a trustworthy, citable source by a generative AI system. The underlying content quality requirements overlap significantly — both reward comprehensive, authoritative, well-structured content. The key differences are: AI systems weigh factual accuracy and source credibility more heavily; they prefer direct-answer format over narrative; and they can synthesise across multiple pages, meaning partial coverage of a topic on your page can still earn a citation even if you don't rank position 1.