Web & Product

SEO & GEO Engineering

Built to be found by search engines and cited by AI assistants — structured data, entity clarity and content AI models can quote.

3–6 weeks

Buyers increasingly ask ChatGPT, Gemini, Claude and Perplexity before they ever open a search engine. Being cited by those systems — Generative Engine Optimisation — depends on things conventional SEO ignores: consistent entity data, explicit factual statements a model can quote, structured data across every page type, and crawler access for AI agents. We engineer for both.

What this solves

  • Invisible to AI assistants that buyers now ask first
  • Competitors being cited in AI answers instead of you
  • No structured data, so search engines cannot parse the business
  • Content written in marketing language no model can quote as fact

What you get

  • Full schema.org coverage across every page type
  • llms.txt and AI-crawler access configuration
  • Entity consistency across site, structured data and external profiles
  • Content restructured into explicit, quotable factual statements
  • Per-page metadata, canonicals, sitemaps and Open Graph
  • Technical performance and Core Web Vitals work

Technology

Next.jsschema.orgJSON-LDllms.txt

Where we've deployed it

Frequently asked

What is GEO and how is it different from SEO?

SEO optimises to rank in a list of links. GEO — Generative Engine Optimisation — optimises to be cited inside an answer generated by ChatGPT, Gemini, Claude or Perplexity. The levers differ: GEO depends on explicit factual statements a model can quote, consistent entity data, comprehensive structured data, an llms.txt index, and allowing AI crawlers rather than blocking them. Most sites do the opposite by default.

Talk to the engineers who build it

Tell us the problem and we'll tell you whether seo & geo engineering is the right answer — and what it would take.