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.

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What it installs

Agents 1

  • GEO Optimizer

    A GEO optimizer who reworks content so AI answer engines recognize the entity and cite the page, ending in human approval.

Workflows 1

  • 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

  • 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

  • Cited in AI answers

    Get target content surfaced and cited as a source by AI/answer engines.

Skills 3

  • 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.

  • 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.

  • 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

  • AI-Search (GEO) Optimizer

Requirements

What this template expects to do its job. Task Machine does not verify these — you decide whether your setup is ready.

  • 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 runtime web search and fetch tools; it only reads public pages.

Get started

Install AI-search (GEO) optimizer and run it with approvals.

Join the waitlist and we will send early access when the first private beta spots open.

Private beta. We invite teams in batches and never share your email.