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151,324 tools. Last updated 2026-05-28 09:25

"Answer Engine Optimization (AEO) Audit Guide" matching MCP tools:

  • Rewrites content for Answer Engine Optimization with BLUF, FAQ, and schema to improve direct-answer visibility in ChatGPT, Perplexity, and Google AI Overviews.
    MIT
  • Start an AEO audit to analyze your website's visibility across AI platforms like ChatGPT, Perplexity, Claude, and Google AI. Get citation rates, health scores, and content gap analysis.
    MIT
  • Audit a URL's on-page SEO by analyzing 50+ factors including title, headings, images, Core Web Vitals, schema markup, and mobile-friendliness to identify optimization opportunities.
    MIT

Matching MCP Servers

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    Provides nine specialized production-ready solvers for advanced resource allocation, network flow, and multi-objective optimization with native Monte Carlo integration. It enables users to perform constraint-based decision-making and performance analysis directly through Claude Code.
    Last updated
    MIT
  • A
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    Audit any website for privacy, security, accessibility, and performance issues — with scores, grades, and actionable fix instructions. No account required.
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    MIT

Matching MCP Connectors

  • AEO audit: score any website 0-100 for AI visibility. Checks schema, meta, content, AI crawlers.

  • AI visibility for ChatGPT/Perplexity/Claude — triple score (AEO+GEO+Agent) with fix code. Free.

  • Submit a certification exam answer for deterministic grading. Returns pass/fail result with correct answer, explanation, and references. The result is final.
    MIT
  • Rewrites content for AI answer synthesis engines by enriching entities and framing comparisons, making it more likely to be cited in multi-source summaries.
    MIT
  • Evaluate answer accuracy by checking semantic equivalence to ground truth using question-answer generation, avoiding strict string matching issues.
    Apache 2.0
  • Rescan a previously audited webpage to generate an updated SEO audit report, tracking changes and identifying new issues for ongoing optimization.
    MIT
  • Run multiple questions against a NotebookLM notebook and save each answer as markdown and JSON files with cited sources for building a searchable vault.
    MIT
  • Retrieve the audit trail of ticket field changes, including status transitions, assignment changes, and priority edits. Track who changed what and when to answer questions about ticket history.
  • Configures the optimization algorithm (sampler) for a study, choosing from TPE, NSGA-II, Random, or Gaussian Process samplers to guide hyperparameter search.
    MIT