Gemini Optimisation for AI Visibility

Gemini is Google’s answer engine, grounded in the index and graph that already know a great deal about your brand. Optimisation for Gemini is partly alignment: making what Google knows match what you say.

How Gemini selects sources

Gemini composes answers from Google’s index with grounding in the Knowledge Graph. It rewards pages that reinforce entity identity — a page that clearly belongs to an organisation the graph already recognises is easier for Gemini to attribute safely.

What Gemini values

• Entity graph alignment — consistency between your pages and Google’s knowledge representation.
• Depth — comprehensive coverage of a topic’s question space, not thin snippets.
• Freshness — current information over stale content.
• Schema clarity — structured data that states what your entities are and how they relate.

The optimisation approach

We audit how Gemini describes your brand today, compare it against Google’s entity representation, and align the two: schema corrections, entity consistency, depth building on priority topics. Then we re-test Gemini’s answers.

Compare Gemini

Gemini and ChatGPT compete for the same prompts but ground answers differently. See our ChatGPT vs Gemini comparison for the practical differences.