hurra.ai
AI Skills

GEO

Skill

Generative engine optimisation for AI-driven search: make your content and product facts legible to systems that answer questions instead of listing links.

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What this skill does

Generative engine optimisation, usually shortened to GEO, is the practice of making content and product facts legible to AI-driven search surfaces that answer a question instead of listing links. It works on the same underlying facts as classic search optimisation, but the consuming surface behaves differently: it summarises and cites rather than ranks.

Nobody can guarantee placement in a generated answer, and any tool that promises one is overstating what is knowable. What can be done is make the underlying material clear, consistent and easy to attribute, then watch how AI search visibility develops.

How it runs in hurra.ai

Skills are role-specific AI agents built on your data and your ways of working: domain specialists, not a generic chatbot with a blank prompt box. A skill runs inside the platform your systems are already connected to, rather than as a separate tool with its own login and its own setup.

That inherited context is the practical difference. A standalone tool has to be told what your business sells and where its data lives, once per tool, and then told again when either changes. A skill starts from connections that already exist and are already maintained: your products, your content, your customers and your measurement.

Skills are added and left out one at a time. You switch on the ones that match work you actually do, and the rest stay out of the way instead of cluttering an interface.

In hurra.ai, GEO analyses how your facts are represented across connected sources and coordinates with the other search-side skills instead of maintaining separate copies of the truth.

Examples in practice

Make product facts quotable. Answer engines lift short, factual statements. Reviewing how your products and services are described, in plain and consistent language, is the practical core of GEO work.

Keep facts consistent across sources. If your shop, your site and your feed describe the same product differently, an answer engine has to guess. Working from connected sources keeps one version of the facts.

Check how your topics are represented, then decide which gaps are worth closing with content you can substantiate.

Frequently asked questions

What is generative engine optimisation (GEO)?

GEO is the practice of making your content and facts usable by AI search surfaces that generate answers. It focuses on clear, factual, quotable statements rather than on ranking signals alone.

How is GEO different from SEO?

SEO optimises for a ranked list of links. GEO optimises for a generated answer, where a system summarises sources and may cite them. The underlying facts overlap; the target surface does not.

How do I make my content visible in AI answers?

Start with clear, factual and consistent statements about what you offer, published where they can be read. There is no guaranteed placement, and anyone promising one is overstating what is known.

Which data does the GEO skill use?

It works from the content and product sources you have already connected to hurra.ai, so it starts from your own facts rather than from a blank page.

Run GEO on the data you already connected

The skill works from the systems in your hurra.ai layer rather than from a separate export. In the demo we go through your own case and show what the skill delivers and what it needs from you.

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