Gemini Optimization

This skill tunes an AEO program for Google Gemini. The cross-engine fundamentals apply; this skill says where to add weight. Behavior evolves — treat as current emphasis and confirm by testing. It works for any business, B2B or B2C.

How Gemini builds an answer

Gemini sits inside Google's ecosystem and grounds answers in Google's understanding of the web: its search index, the Knowledge Graph (entities and their relationships), and Google-owned surfaces — notably YouTube. In practice it benefits from the same forces as Google AI Overviews, plus a strong pull toward recognized entities it can ground facts on and toward video where relevant. Because of that overlap, run this with google-ai-overviews-optimization when a brand cares about Google's AI answers broadly — this skill adds the Gemini-specific emphases on entity grounding and Google surfaces.

When to use this skill

• A brand cares specifically about Gemini visibility.
• Diagnosing why competitors appear in Gemini answers and the brand is not.
• Prioritizing AEO for a Google-ecosystem audience.

Before you start

Read aeo-foundation.md for the prompt set, entity facts, and Google-search standing. If it is missing, point to the aeo-foundation skill.

Where Gemini puts weight

• Google entity presence. A strong Knowledge Graph entity with consistent facts lets Gemini ground and name the brand confidently — prioritize entity-optimization (Wikidata, Wikipedia where notable, Organization schema, NAP consistency).
• Organic and structured content. Like Overviews, it favors well-ranking, well-structured pages — see google-ai-overviews-optimization and answer-engineering.
• Google surfaces, including YouTube. Video on YouTube with strong titles, descriptions, chapters, and transcripts is a Google-owned signal Gemini can draw on — see multimodal-aeo.
• E-E-A-T and trust. Named authors, accuracy, and sourcing — see author-authority and claim-accuracy.
• Freshness for time-sensitive prompts.

Quick wins

• Establish/complete the Knowledge Graph entity: referenced Wikidata item, Organization schema with sameAs, consistent core facts everywhere.
• Apply the Google AI Overviews structure/E-E-A-T playbook to target pages.
• Add or optimize YouTube content (titles, descriptions, chapters, uploaded transcripts) for prompts where video is a natural answer.
• Verify entity-fact consistency with the entity-optimization checker.

Workflow

1. Baseline in Gemini for the prompt set: citations, sources, who wins.
2. Strengthen the Google entity — Knowledge Graph footprint, Organization schema, consistent facts.
3. Apply the Google AIO playbook — organic relevance plus structured, extractable content.
4. Build relevant YouTube/video presence where the audience and prompts support it.
5. Signal E-E-A-T on target content.
6. Re-test and iterate (cadence: see ai-visibility-tracking).

Output format

• A Gemini baseline and gap list.
• Prioritized moves weighted to entity/Knowledge Graph, Google-ecosystem surfaces (incl. YouTube), and structured content.
• Target entities, pages, and surfaces to act on.
• (assumption) tags where behavior was inferred rather than tested.

Common pitfalls

• Weak Knowledge Graph entity, so Gemini is unsure who the brand is.
• Ignoring YouTube as a Google-owned source Gemini can pull from.
• Treating Gemini wholly separately from Google AI Overviews — they overlap heavily.
• Thin E-E-A-T on demanding (YMYL) topics.

Related Skills

• entity-optimization — the Knowledge Graph presence Gemini leans on.
• google-ai-overviews-optimization — the overlapping Google playbook.
• multimodal-aeo — the YouTube/video signal Gemini can draw on.
• answer-engineering / structured-data — structure and markup Google favors.
• author-authority — the E-E-A-T signals it rewards.