AI-search (GEO) optimizer
A GEO optimizer reworks your pages for entity clarity, extractable structure, and citable authority so your content gets cited as a source in AI/LLM search — ChatGPT, Perplexity, AI Overviews, Gemini, Claude — then lands one approval before changes ship.
Saves you ~3.3 h / run
How it works
- Trigger
- When you start the “Assess, optimize entity, optimize answers, approve” workflow.
- Job
- Assess current AI surfacing and entity recognition, optimize the entity foundation.
- Outcome
- An optimized entity and content plan for stronger AI search visibility.
What it installs
Agents 2
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GEO Optimizer
A GEO optimizer who reworks content so AI answer engines recognize the entity and cite the page, ending in human approval.
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AI-search (GEO) optimizer Quality Reviewer
Checks primary evidence, domain controls, deliverable completeness, and communication quality, stopping the run when the work is wrong, unsupported, incomplete, or uncertain.
Teams 1
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AI-search (GEO) optimizer quality team
The delivery agents produce the work while an independent quality reviewer checks each workflow handoff against explicit evidence, domain, and communication requirements before the run can continue.
Workflows 1
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Assess, optimize entity, optimize answers, approve
Assess current AI surfacing and entity recognition, optimize the entity foundation, rework the page for extractable citable answers, self-check, and hand off for approval.
Documents 1
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Entity / topic map
The entity each page should own, the answer targets it competes for, and the entity-resolution foundation AI engines need before they can cite it.
Goals 1
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Cited in AI answers
Get target content surfaced and cited as a source by AI/answer engines. Success looks like: For the target query set, the entity is recognized and the optimized pages are cited as sources in AI/LLM answers (ChatGPT, Perplexity, AI Overviews) across a monthly visibility check, with citation share holding or growing versus competitors.
Skills 3
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geo-content-optimizer
Rework content to get cited by AI answer engines (ChatGPT, Perplexity, AI Overviews, Gemini, Claude): add 40-60 word standalone definitions and sourced quotable statements, structure for extraction (Q&A, tables, lists), strengthen authority/freshness signals, and run a before/after GEO read against AI-query coverage. Adapted from aaron-he-zhu/seo-geo-claude-skills/geo-content-optimizer.
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entity-optimizer
Audit, build, and disambiguate an entity's identity across the Knowledge Graph, Wikidata, Wikipedia, and AI systems so engines recognize it before they cite it — scoring 6 signal categories, running the AI-resolution test, and producing a canonical profile plus a prioritized building plan. Adapted from aaron-he-zhu/seo-geo-claude-skills/entity-optimizer.
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ai-seo
Make content discoverable, extractable, and citable by AI search via the three-pillar model (Structure / Authority / Presence), the Princeton GEO method ranking, query fan-out, machine-readable files (llms.txt, /pricing.md), and the explicit Google-vs-other-engines split — never writing separate AI-only content. Adapted from coreyhaines31/marketingskills/ai-seo.
Folders 1
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AI-Search (GEO) Optimizer
Requirements
- Web search and fetch access for AI-surface and entity checks — The agent checks how pages currently surface in answer engines, inspects competitor citations and third-party presence, and resolves entity recognition through worker web search and fetch tools; it only reads public pages.
Setup guide
How to Optimize Content for AI Search
A practical guide to getting your pages cited by AI answer engines: entity recognition, extractable answer blocks, sourced claims, and approvals.
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