Seo Geo Aeo Audit

SEO / GEO / AEO Readiness Audit

Score how well a page is built to rank in search (SEO), get cited by AI engines (GEO), and win the direct answer (AEO) — then return a prioritized fix list. Modern visibility is three layers on one page, and most pages are strong on classic SEO while invisible to AI engines.

When to use

The user wants to know why a page isn't ranking or being cited by AI, or wants a readiness check before/after publishing.

Before you start

1. Get the page as a crawler sees it. Fetch the URL — and critically, fetch it the way a bot does. Run curl -A "GPTBot" <url> (or fetch and inspect the raw HTML). If the body, meta, and JSON-LD are missing from the initial response, the site is client-side rendered and most other wins are blocked until SSR/prerender ships — this is the single most important finding.
2. Also retrieve robots.txt, sitemap.xml, and llms.txt / llms-full.txt for that domain.

Workflow

1. Evaluate all 27 checks in resources/scoring-rubric.md, recording pass / partial / fail for each. The rubric defines exactly what each check means and how to test it.
2. Score it — feed the results to the engine:

   node resources/score.js '{"checks":{"ssr_prerender":"fail","title_tag":"pass", ...}}'
   node resources/score.js --help
   

   It returns category scores, a 0–100 total, a letter grade, and the failing checks.
3. Prioritize fixes by impact: rendering/crawlability first (it gates everything), then the cheapest high-value GEO/AEO wins (answer-first passage, FAQPage schema, llms.txt, inline statistics and citations), then on-page and authority polish.
4. Present the score, the category breakdown, and a short, ordered remediation plan.

Scoring model

Five weighted categories: Technical & Crawlability 25 · On-Page SEO 20 · AEO 20 · GEO 20 · Authority & Trust 15. Each category scores by pass-rate × weight. Grades: A ≥ 90, B 75–89, C 60–74, D 45–59, F < 45. GEO checks are anchored to the Princeton GEO study's measured citation lifts (statistics, citations, quotations, terminology).

Present the result

Lead with the headline score and grade, then the five-category bar, then the top fixes in priority order with the expected effect of each. Be concrete: name the missing schema, the absent llms.txt, the empty-shell render — not "improve SEO."

Guardrails & common mistakes

• Rendering gates everything. A perfect on-page score on an un-prerendered SPA is still near-invisible to AI engines — always test the crawler-eye HTML first and lead with it.
• GEO ≠ SEO. Ranking and being cited by an LLM are different; a page can win one and lose the other. Score both.
• Schema must mirror visible text. FAQ/Article schema that doesn't match on-page content is a liability, not a win.
• Don't conflate score with traffic. This measures readiness; pair it with analytics for outcomes.

Related AAJ resources

• Interactive tool: https://aajconsult.com/tools/seo-geo-readiness-scorer

Related skills

geo-content-optimization (fix the GEO/AEO gaps this finds) · schema (structured data) · site-architecture and programmatic-seo (scale the technical fixes).

Credits

Original AAJ skill. The Agent Skills format and the marketing-skills catalog by Corey Haines (coreyhaines31/marketingskills, MIT) were references for structure and coverage; this skill is independently written. See the repository README for the full reference list.