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Everything AI visibility requires

GEO.actor combines tracking, optimisation, and authority-building in one product — replacing tools that cost three times as much separately.

Share-of-Model Tracking

Measure your brand's presence across the five major answer engines — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Track mention frequency, citation context, and sentiment over time. Compare your share against competitors. Weekly sampling by default; daily tracking available as an add-on.

  • 5 AI engines monitored: OpenAI, Anthropic, Perplexity, Gemini, Google AI Overviews
  • Prompt templates tuned per industry and query type
  • Citation extraction and context analysis
  • Competitor share benchmarking
  • Trend charts and week-over-week deltas
  • Export to CSV for reporting

Content Optimiser

Discover exactly why AI engines cite competitors instead of you. The optimiser crawls your site, compares your content against what AI engines retrieve, and produces a prioritised list of changes — missing entities, weak authority signals, thin coverage, structural issues.

  • Automated gap analysis between your content and AI citations
  • Entity extraction and coverage scoring
  • Topical authority measurement
  • AI-assisted draft suggestions (reviewed by you before publishing)
  • Before/after simulator to predict impact of changes
  • Integration with Git for one-click pull requests

Knowledge Graph Explorer

Build and visualise the entity graph that underpins AI brand recognition. Map people, products, locations, and concepts to your brand — the structured knowledge that answer engines use to construct accurate, confident recommendations.

  • Automatic entity extraction from your content
  • Visual graph explorer with relationship mapping
  • Wikidata and schema.org alignment checks
  • Co-occurrence analysis across AI answers
  • Identification of missing or contradictory entity claims
  • Export to JSON-LD for structured data implementation

Technical Audit

Automated technical checks that catch the issues most likely to suppress AI visibility: missing or invalid structured data, robots.txt misconfigurations that block AI crawlers, llms.txt absence, crawl errors, and rendering issues.

  • JSON-LD validation against schema.org specifications
  • robots.txt audit with AI-crawler-specific checks
  • llms.txt presence and format validation
  • Core Web Vitals and crawlability assessment
  • Broken internal link detection
  • Actionable remediation steps for every finding

JSON-LD & llms.txt

Generate, validate and deploy the structured signals that tell AI crawlers who you are, what you do, and what you want them to know. JSON-LD covers schema.org markup for organisation, product, article, FAQ and more. llms.txt gives LLM crawlers a curated, machine-readable summary.

  • Schema.org JSON-LD builder for 10+ page types
  • Real-time validation against Google Rich Results spec
  • llms.txt auto-generation from your top-ranked content
  • One-click deployment via Git pull request or webhook
  • Version history and diff view
  • Alert on schema drift after content changes

Outreach

Build the real external authority that AI models weigh when deciding what to recommend. Human-approved link outreach via your own Gmail account — no cold-email ESP, no spam risk, no automated sending. Every email requires your approval before it goes out.

  • Prospect discovery from AI citation sources and backlink data
  • AI-assisted draft (you review and approve every email)
  • Sends via your own Gmail — no shared IP reputation risk
  • 30 emails/day default cap; configurable up to 200 with confirmation
  • GDPR Article 21 objection handling and suppression list
  • Full audit trail: who approved, when, what was sent