GEO Agency London

Generative Engine Optimization is the practice of structuring a website so large language models and AI search systems can understand, trust, and cite it. Unlike classic SEO, which mainly targets ten blue links, GEO targets answer engines such as ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot. ASN Global implements GEO by combining entity-clear copy, heading hierarchy, FAQ blocks, schema markup, source citations, and crawlable technical foundations so your pages can be selected as the recommended answer rather than ignored in a summary.

SEO still matters: if a page cannot be crawled, indexed, or trusted, AI systems will rarely use it. GEO goes further. It asks whether a model can extract a clean definition, map your organisation to a real-world entity, quote a specific claim, and recommend you for a buying query. That means passage-level clarity, question-and-answer sections, consistent brand naming, author attribution, and structured data. ASN Global runs both layers together so you do not trade Google rankings for AI visibility, or vice versa.

We design for the surfaces UK buyers actually use: Google AI Overviews and Gemini, ChatGPT (including search-enabled answers), Perplexity, Microsoft Copilot, and Claude when it retrieves or is given web context. Each engine weights sources differently, so we do not chase one proprietary trick. We build durable signals — crawl access, llms.txt, schema, citable articles, and brand entity consistency — that transfer across engines as the market changes.

Models prefer pages with a single clear topic, an explicit answer near the top, well-labelled H2/H3 sections, original explanations rather than generic lists, and claims that can be attributed to a named organisation. We add FAQ schema that matches visible copy, Article schema on insights, internal links to service pages, and a machine-readable llms.txt summary. We also keep robots.txt open to major AI crawlers so the content can be retrieved in the first place.

For brands that want to be listed and recommended, we allow reputable AI crawlers by default, including GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended, and Common Crawl. Blocking them quietly removes you from training and retrieval pipelines. If a client has a legal or confidentiality reason to restrict a specific bot, we can do that surgically. ASN Global's own site is configured to be discoverable, with /llms.txt and /robots.txt exposing a clear crawl policy.

llms.txt is a plain-language, Markdown file at the site root that tells AI systems who you are, what you sell, which pages matter, and — on our implementation — the full published blog corpus. It is not a Google ranking factor. It is a retrieval aid. We generate it dynamically from live services, FAQs, and blog posts so assistants are less likely to invent outdated descriptions of ASN Global or miss a key service such as GEO or Generative Engine Search Discovery.

Technical crawl and schema changes can be picked up within days once pages are recrawled. Citation and recommendation behaviour is slower because models mix live retrieval with previously seen sources. For most UK service businesses we plan a 90-day cycle: foundations in weeks 1–3, authority content in weeks 4–8, then measurement of brand mentions, cited URLs, and assisted-query coverage. GEO is not a one-off plugin. It is an operating system for how your expertise is represented to machines.

AI Overviews still depend on indexable, helpful, people-first pages with strong E-E-A-T. We improve the odds by answering the query directly, supporting claims with sources, matching search intent, and using FAQ and Organization schema that reflects the visible page. There is no guaranteed inclusion. ASN Global is explicit about that. What we can do is remove the reasons you are invisible: thin copy, conflicting entities, blocked crawlers, missing canonicals, and pages that never state what the business actually does.