GEO — Generative Engine Optimisation for AI search
Make your pages citation-ready for Google AI Overviews and AI Mode, Anthropic, MS Copilot, chatGPT and Perplexity. We engineer clear, source-anchored answers, add JSON-LD, craft FAQs, and keep dates consistent so generative engines can trust—and surface—your content.
What GEO does
- Canonical answers (40–50 words): concise responses that engines can quote and attribute.
- Structured data: `WebPage` / `Service` / `Article` / `FAQPage` JSON-LD with correct types and fields.
- FAQs that match real queries: extracted from your pages and refined for clarity and intent.
- Source citations: links to regulator-approved or otherwise authoritative sources.
- Freshness signals: visible “Last updated”, `dateModified`, and sitemap `
` kept in sync.
No keyword stuffing. We optimise for evidence, structure and clarity—the things generative engines reward.
How it works
- Crawl & extract: headings, meta, candidate FAQs, PDFs, text sample.
- Review & ground: align claims with authoritative sources; capture citations.
- Author the canonical answer: crisp, plain-English summary per topic.
- Add schema: JSON-LD blocks mapped to page type (and validated).
- Freshness update: set visible date, `dateModified`, and sitemap `
`.
Deliverables
- Canonical answer(s) ready to paste
- FAQs (2–8) with answers
- JSON-LD snippets (`WebPage`, `Service`, `Article`, or `FAQPage`)
- Change log and QA checklist
- Re-scan report confirming eligibility signals
Readiness checklist
- Clear page purpose (what question does this page answer?)
- One canonical answer near the top
- Supporting headings and short paragraphs
- Outbound citations to trusted sources
- Visible “Last updated” + valid `dateModified` + sitemap `
`
Frequently asked questions
What is Generative Engine Optimisation (GEO)?
GEO is the practice of preparing web content so generative search engines like Google AI Overviews, Copilot and Perplexity Comet can confidently cite it. It focuses on canonical answers, structured schema, FAQs and freshness signals, helping AI systems trust and display your content to users at the point of need.
How is GEO different from SEO?
Traditional SEO aims to improve rankings in web search results. GEO is about making your content citation-ready for generative engines. That means concise answers, JSON-LD schema, FAQs that match real queries, and consistent update signals so engines know your information is accurate, current and attributable.
Why does GEO matter for healthcare and life sciences?
Generative engines are already used by professionals in healthcare and life science to ask questions. Without GEO, AI may cite less reliable sources. By aligning your pages to GEO standards, you improve the chance that accurate, regulator-anchored information is what AI surfaces in its answers, supporting safe decision-making.
What does a GEO-optimised page include?
A GEO-optimised page has a clear canonical answer, supporting FAQs, structured data blocks (WebPage, FAQPage, or Article), outbound citations to authoritative references, and a visible “Last updated” date that matches the schema and sitemap. These elements tell AI engines the content is trustworthy, verifiable and current.
Do all pages need GEO optimisation?
Not every page. The priority is high-value, question-based content such as patient FAQs, service pages, clinical summaries or guidance. Pages that answer “What is…?”, “How does…?” or “Can I…?” are most likely to appear in generative answers. Start there, then extend GEO to wider site content.
What do we get from a GEO engagement with PharmAdvisor?
We deliver canonical answers, refined FAQs, validated JSON-LD snippets, and a publish checklist. We also align freshness signals (page, schema, sitemap) and run a re-scan to confirm eligibility. The result is a package that makes your pages discoverable, citation-ready, and more likely to be surfaced by AI search.
Request GEO Information
We’ll contact you regarding our GEO service.
Get in touch
Follow us on LinkedIn or email steve@pharmadvisor.org.uk.