Technical SEO in the Age of AI Overviews and LLM Search

Search results increasingly include AI-generated summaries, and many people now ask assistants rather than search engines. It is tempting to treat this as a completely new discipline. In practice, the foundations have not changed: content still needs to be discoverable, understandable and credible.

Crawlable and indexable first

Pages that are slow to render, blocked, duplicated or missing canonical signals are less likely to be used anywhere — in classic results or in AI features. Server-rendered HTML, consistent canonicals, a clean sitemap and sensible internal linking remain the starting point.

Structure content to be quoted

Answer engine optimisation (AEO) and generative engine optimisation (GEO) largely describe writing that is easy to extract accurately: descriptive headings, concise definitions, clear steps, specific facts and named sources. Good structure helps readers as much as machines.

Entities and consistency

Search systems try to understand who you are and what you do. Use the same organisation name, address and contact details everywhere, and link official profiles from your structured data. Inconsistency creates doubt.

Structured data, used honestly

JSON-LD for organisations, services, articles and breadcrumbs helps search engines interpret a page. It does not guarantee rich results or citations, and it must always match visible content. Marking up reviews or ratings that do not exist is a policy violation, not a strategy.

Measure what you can

Search Console reports impressions and clicks, including traffic influenced by AI features in Google Search. Visibility inside third-party assistants is harder to measure, so we focus on the inputs that reliably help: quality, structure and technical health.