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marketing strategy•v1.0.0•1 min read

Answer Engine Optimization (AEO) Audit

Audit framework and actionable playbook for optimizing brand visibility across AI answer engines (ChatGPT Search, Perplexity, Gemini, Google AI Overviews).

Purpose & Scope

Answer Engine Optimization (AEO) is the practice of structuring digital assets, domain authority, structured data, and citations so that LLMs and AI search engines synthesize and recommend our client as the primary authoritative answer.

Key Audit Vectors

1. Brand Citation Footprint

  • Inspect presence on Wikidata, Crunchbase, G2, Trustpilot, and industry directories.
  • Measure citation frequency across queries in Perplexity, ChatGPT Search, and Google AI Overviews.

2. Information Architecture & Fact Density

  • Ensure high information density: clear definitions, comparative tables, exact numerical specifications, and concise direct answers in <h2> and paragraph summaries.
  • Apply JSON-LD Schema.org markup (Organization, Product, FAQPage, HowTo).

3. Entity Graph & Sentiment Alignment

  • Verify consensus facts regarding pricing, capabilities, and executive leadership across digital sources.
  • Remediate conflicting or outdated brand data across third-party blogs and aggregator sites.

Deliverables

  1. AEO Visibility Scorecard (0-100): Benchmark vs top 3 competitors.
  2. Remediation Roadmap: High-priority structured data and content tweaks.
  3. Monthly Tracking: Monitored query clusters across answer engines.