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AEO Audit and AI Citation Strategy

Scores your pages passage by passage for AI answer-engine citability, then gives ranked fixes, rewrites, and a citation tracking plan.

Marketingaeoai-search
by AgentVoltv1.0.0
Free to sign up · every skill included with AgentVolt Pro

Before & after

Same prompt, same agent — the only difference is the skill.

Prompt“Get my content cited by ChatGPT and Perplexity”
Beforegeneric AI agent
Getting your content cited by AI language models is becoming increasingly important, especially if you're focusing on thought leadership or brand authority. It's different from traditional SEO in some key ways. The LLMs like ChatGPT, Perplexity, Claude, and others are trained on web content and use retrieval-augmented generation to cite sources for answers. To get cited, your content needs to look authoritative and trustworthy to their algorithms. This typically involves having strong E-E-A-T signals — expertise, experience, authority, and trustworthiness. You'll want original research, data, expert quotes, clear structure, and good metadata. But the exact signals each model uses aren't fully transparent, so it's part art, part science. I can help you audit your current content against AEO best practices and identify gaps. Do you have existing content you want to optimize, or are we creating new content from scratch? What topics are you targeting?
Afterwith AEO Audit and AI Citation Strategy
AEO AUDIT REPORT - ANSWER ENGINE OPTIMIZATION

OVERVIEW
Pages scanned: 12 blog articles
Citation readiness score: 58/100 (needs work)
Top barriers: E-E-A-T signals weak (expert credentials missing), limited original data

E-E-A-T AUDIT (per page)

Page 1: 'How to Choose a CRM'
Expertise: Moderate (mentions 5 CRM tools but no personal hands-on experience)
Experience: Weak (no customer testimonials or case studies)
Authority: Low (no byline, no author bio, no citations from larger publications)
Trustworthiness: Moderate (no date, no author credentials visible)
Score: 42/100 → ACTION: Add author bio with 10+ years SaaS experience

Page 2: 'CRM for Startups: Benchmark Report' (original research!)
Expertise: Strong (original methodology, data from 200+ startups)
Experience: Strong (author is CRM consultant, case study embedded)
Authority: Strong (cited by 3 industry publications, backlinks from credible sites)
Trustworthiness: Strong (data methodology transparent, date current, author verified)
Score: 82/100 → KEEPER: This page will likely be cited

CITATION LIKELIHOOD BY MODEL

ChatGPT: Trained on web content up to April 2024. Favors authoritative sources with clear citations. 7 of 12 pages likely to be cited (high E-E-A-T, original data, author credentials).

Perplexity: Prioritizes recency + E-E-A-T. Favors pages updated in last 90 days. 9 of 12 pages likely if updated by quarter-end.

Claude: Weights expertise heavily. Original research, expert bylines, methodological transparency. 6 of 12 pages likely.

OPTIMIZATION ROADMAP (Priority order)

1. AUTHOR CREDENTIALS (Implement this week)
   Add to every page:
   • Author name + title (e.g., 'Jane Doe, CRM consultant, 10+ years in SaaS')
   • Author bio link (full credentials page)
   • Social proof (LinkedIn follower count, publications)
   • Example schema markup: schema.org/Article with author.Person field

2. ORIGINAL DATA (Next 2 weeks)
   • Pages 1, 5, 9: Add survey or research data (minimum 100 respondents)
   • Format: Key findings callout box, methodology transparency, downloadable report
   • Citation pull: Expect 15-20% lift in model citations for data-backed pages

3. FRESHNESS + UPDATES (Ongoing)
   • Add 'Last updated' date (schema.org/dateModified)
   • Quarterly refresh: Update stats, add new examples
   • Signal to models: Recent content is more trustworthy

4. STRUCTURAL MARKUP (Next week)
   Add JSON-LD schema to every page:
   • schema.org/Article (headline, author, datePublished, image)
   • schema.org/Question (for FAQ sections)
   • schema.org/BreadcrumbList (navigation structure)

EXPECTED IMPACT
• Citation rate lift: 15-25% within 60 days of applying optimizations
• Traffic from AI-powered search: 8-12% of organic traffic (growing)
• Authority signals: Helps with traditional SEO + brand halo

About this skill

Your competitor keeps showing up in ChatGPT and Perplexity answers and you don't. You can't tell whether the cause is blocked crawlers, buried answers, vague claims, or the fact that engines cite review sites instead of you. This skill audits your content the way answer engines read it, one passage at a time, and tells you exactly what to fix first.

What it does

  • Runs an access check before any content advice: indexing, AI search crawlers blocked in robots.txt or CDN settings, and answer text that only renders in JavaScript
  • Maps the real questions and fan-out subquestions a page should answer, and marks each one covered, buried, or missing
  • Scores every section on answer-first structure, standalone readability, specificity, evidence, extractable format, and freshness
  • Rewrites your weakest passages into quotable answers using only the facts you provided
  • Separates on-site fixes from off-site work, such as the review platforms, forums, and comparison pages engines cite for "best" and "vs" prompts
  • Builds a measurement plan with a fixed prompt set, repeated sampling, mention and citation rates, and AI referral tracking

What you get

A ranked AEO audit in markdown (or JSON on request). It includes an access verdict, a target-question map, a 14-point score, a prioritized fix table, before-and-after passage rewrites, and a tracking plan.

Best for

Content marketers, SEO leads, and SaaS or e-commerce founders whose pages rank in search but rarely get quoted in AI-generated answers.

SKILL.md preview

SKILL.md
---
name: aeo-audit-ai-citation-strategy
description: Audits pages or content plans for how likely AI answer engines (ChatGPT search, Perplexity, Google AI Overviews, Gemini, Copilot, Claude) are to retrieve and quote them. It gates on crawler access first, scores each passage on answer-first structure, self-containment, specificity, and provenance, then returns ranked fixes, rewritten passages, and a citation tracking plan. Use when the user says "AEO audit", "why doesn't ChatGPT cite us", "optimize this page for Perplexity", "get cited in AI Overviews", "our competitor shows up in AI answers and we don't", "E-E-A-T audit", "plan content for AI search", or "how do we track LLM citations".

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