Emergence SEO/GEO Audit Tool

Problem Being Addressed

Conventional SEO audits usually assume that users click through from Google or Bing. In practice, many queries now happen inside AI answer surfaces such as ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Overviews. These systems do not only match keywords; they also evaluate whether a site is crawlable, whether content can be extracted cleanly, and whether the page carries structured evidence and entity-level citations. If a target domain is omitted while competitors are cited, adding more content is not enough. This skill turns GEO/SEO auditing into a concrete, repeatable checklist.

How the Audit Works

The skill uses a 100-point scorecard with separate Agent-First and Human-First heuristics. It focuses on:

• Technical accessibility: checks whether robots.txt allows AI crawlers such as GPTBot, ClaudeBot, and PerplexityBot, or traditional crawlers such as Googlebot and Bingbot.
• Structured data: reviews JSON-LD validity and fit for agent capabilities, software specs, or human-oriented schemas such as Product, FAQPage, Organization, and HowTo.
• Content extractability and BLUF: evaluates headings, Markdown structure, lists, data grids, and 40–70 word answer blocks that are easy for machines or readers to consume.
• Citations and EEAT: verifies quantitative facts, external documentation, developer attribution, repository or package-index signals, compliance indicators, and off-site entity footprints on wikis, forums, and communities.
• Machine-readable discovery: checks for /llms.txt, /skill.md, /sitemap.xml, and OpenGraph/Twitter metadata.

The workflow typically starts by running geo_audit.py to calculate a baseline score and scan technical endpoints. It can optionally use --e2e to query indexation and ranking signals on Tavily, Brave Search, Google, and Bing. It then scans landing pages to see whether answers are buried in client-side dynamic code or behind login walls, and finishes with sourcing and EEAT validation.

Scope and Limitations

This skill is useful for diagnosing why a site is not cited in AI search, checking GEO technical foundations, and producing a 30-60-90 day optimization roadmap. It focuses on visibility, crawlability, structured expression, and citation evidence, not paid-media strategy, brand awareness campaigns, or general website performance audits. Results depend on target-site accessibility, robots.txt policy, page rendering behavior, and whether external indexation data is available.