Overview
Answer Engine Citation Audit is the skill of checking whether your pages are being selected and cited by AI answer systems, then fixing the evidence gaps that block citation. For a one-person company, this is high-leverage because citation visibility often compounds before traditional rankings catch up.
When to Use This Skill
Use this when your pages have impressions but weak click growth, when you suspect AI Overviews or chat assistants are bypassing your site, or when you want to turn existing traffic pages into citation-ready assets.
What This Skill Does
This skill gives you a repeatable way to audit citation readiness page by page: extraction clarity, factual support, structured data validity, freshness signals, and internal-link context. The output is a prioritized fix list you can ship in one sprint.
How to Use
Step 1: Pick a target cluster, not random pages. Start with pages that already have demand signals in Search Console or are strategically important offers.
Step 2: Define citation queries. Write 10 to 20 realistic prompts your buyer would ask, including comparison, pricing, workflow, and troubleshooting variants.
Step 3: Run a manual citation check. For each query, record whether your brand appears, which competitor appears, and what claim was cited.
Step 4: Audit extraction quality on your page. Tighten the opening answer, clarify headings, add explicit definitions, and remove vague filler that prevents clean quote extraction.
Step 5: Audit evidence quality. Add concrete numbers, examples, references, and dated context where claims are currently generic.
Step 6: Validate structured data. Confirm your schema matches visible page content and passes rich-result validation without unsupported markup.
Step 7: Strengthen page context. Add internal links from adjacent high-authority pages so the target page is clearly positioned in your topical cluster.
Step 8: Recheck after index refresh. Re-run the same query set after updates and compare citation share, not only clicks.
Output
The output should include:
- A target page list with citation priority score
- A fixed query set used for citation checks
- A before/after citation log by query
- A page-level remediation checklist
- An owner and deadline for each fix
- A recheck date with success criteria
Citation Readiness Checklist
- Can a model extract the core answer from the first screen without guessing?
- Are key claims backed by named sources or first-party data?
- Are examples specific enough to be quotable?
- Is the page updated with clear recency context where it matters?
- Are FAQ, HowTo, and other schema blocks valid and aligned with on-page text?
- Does the page receive internal links from related pages with clear anchor intent?
Common Mistakes
Do not treat ranking position as proof of citation readiness. Do not add schema that is not represented in visible page content. Do not run one-off prompts and call it an audit; use a fixed query set for comparison. Do not update only the title tag when the evidence block is the real weakness. Do not skip follow-up measurement; no recheck means no learning loop.
Evidence and Source Links
- Google Search Central explains people-first content and reliable signals for long-term visibility:
https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- Google Search Console Performance documentation defines the query-level metrics used to prioritize and evaluate pages:
https://support.google.com/webmasters/answer/7576553
- Google structured data guidance covers valid implementation requirements and rich-result eligibility constraints:
https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data
- Google rich results testing tooling for schema validation:
https://search.google.com/test/rich-results
- Bing documentation on schema markup and answer extraction support:
https://www.bing.com/webmasters/help/marking-up-your-site-with-structured-data-3a93e731
- Google guidance on controlling appearance snippets and indexing behavior with robots meta rules:
https://developers.google.com/search/docs/crawling-indexing/robots-meta-tag
SKILL.md file
Preview raw SKILL.md. Open the full source below. Scroll, inspect, then download the exact SKILL.md file if you want the original.
# answer-engine-citation-audit
Answer Engine Citation Audit
Overview
Answer Engine Citation Audit is the skill of checking whether your pages are being selected and cited by AI answer systems, then fixing the evidence gaps that block citation. For a one-person company, this is high-leverage because citation visibility often compounds before traditional rankings catch up.
When to Use This Skill
Use this when your pages have impressions but weak click growth, when you suspect AI Overviews or chat assistants are bypassing your site, or when you want to turn existing traffic pages into citation-ready assets.
What This Skill Does
This skill gives you a repeatable way to audit citation readiness page by page: extraction clarity, factual support, structured data validity, freshness signals, and internal-link context. The output is a prioritized fix list you can ship in one sprint.
How to Use
Step 1: Pick a target cluster, not random pages. Start with pages that already have demand signals in Search Console or are strategically important offers.
Step 2: Define citation queries. Write 10 to 20 realistic prompts your buyer would ask, including comparison, pricing, workflow, and troubleshooting variants.
Step 3: Run a manual citation check. For each query, record whether your brand appears, which competitor appears, and what claim was cited.
Step 4: Audit extraction quality on your page. Tighten the opening answer, clarify headings, add explicit definitions, and remove vague filler that prevents clean quote extraction.
Step 5: Audit evidence quality. Add concrete numbers, examples, references, and dated context where claims are currently generic.
Step 6: Validate structured data. Confirm your schema matches visible page content and passes rich-result validation without unsupported markup.
Step 7: Strengthen page context. Add internal links from adjacent high-authority pages so the target page is clearly positioned in your topical cluster.
Step 8: Recheck after index refresh. Re-run the same query set after updates and compare citation share, not only clicks.
Output
The output should include:
A target page list with citation priority score
A fixed query set used for citation checks
A before/after citation log by query
A page-level remediation checklist
An owner and deadline for each fix
A recheck date with success criteria
Citation Readiness Checklist
- Can a model extract the core answer from the first screen without guessing?
- Are key claims backed by named sources or first-party data?
- Are examples specific enough to be quotable?
- Is the page updated with clear recency context where it matters?
- Are FAQ, HowTo, and other schema blocks valid and aligned with on-page text?
- Does the page receive internal links from related pages with clear anchor intent?
Common Mistakes
Do not treat ranking position as proof of citation readiness.
Do not add schema that is not represented in visible page content.
Do not run one-off prompts and call it an audit; use a fixed query set for comparison.
Do not update only the title tag when the evidence block is the real weakness.
Do not skip follow-up measurement; no recheck means no learning loop.
Evidence and Source Links
- Google Search Central explains people-first content and reliable signals for long-term visibility:
https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- Google Search Console Performance documentation defines the query-level metrics used to prioritize and evaluate pages:
https://support.google.com/webmasters/answer/7576553
- Google structured data guidance covers valid implementation requirements and rich-result eligibility constraints:
https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data
- Google rich results testing tooling for schema validation:
https://search.google.com/test/rich-results
- Bing documentation on schema markup and answer extraction support:
https://www.bing.com/webmasters/help/marking-up-your-site-with-structured-data-3a93e731
- Google guidance on controlling appearance snippets and indexing behavior with robots meta rules:
https://developers.google.com/search/docs/crawling-indexing/robots-meta-tag
Preview raw SKILL.md. Open the full source below. Scroll, inspect, then download the exact SKILL.md file if you want the original.
# answer-engine-citation-audit
Answer Engine Citation Audit
Overview
Answer Engine Citation Audit is the skill of checking whether your pages are being selected and cited by AI answer systems, then fixing the evidence gaps that block citation. For a one-person company, this is high-leverage because citation visibility often compounds before traditional rankings catch up.
When to Use This Skill
Use this when your pages have impressions but weak click growth, when you suspect AI Overviews or chat assistants are bypassing your site, or when you want to turn existing traffic pages into citation-ready assets.
What This Skill Does
This skill gives you a repeatable way to audit citation readiness page by page: extraction clarity, factual support, structured data validity, freshness signals, and internal-link context. The output is a prioritized fix list you can ship in one sprint.
How to Use
Step 1: Pick a target cluster, not random pages. Start with pages that already have demand signals in Search Console or are strategically important offers.
Step 2: Define citation queries. Write 10 to 20 realistic prompts your buyer would ask, including comparison, pricing, workflow, and troubleshooting variants.
Step 3: Run a manual citation check. For each query, record whether your brand appears, which competitor appears, and what claim was cited.
Step 4: Audit extraction quality on your page. Tighten the opening answer, clarify headings, add explicit definitions, and remove vague filler that prevents clean quote extraction.
Step 5: Audit evidence quality. Add concrete numbers, examples, references, and dated context where claims are currently generic.
Step 6: Validate structured data. Confirm your schema matches visible page content and passes rich-result validation without unsupported markup.
Step 7: Strengthen page context. Add internal links from adjacent high-authority pages so the target page is clearly positioned in your topical cluster.
Step 8: Recheck after index refresh. Re-run the same query set after updates and compare citation share, not only clicks.
Output
The output should include:
A target page list with citation priority score
A fixed query set used for citation checks
A before/after citation log by query
A page-level remediation checklist
An owner and deadline for each fix
A recheck date with success criteria
Citation Readiness Checklist
- Can a model extract the core answer from the first screen without guessing?
- Are key claims backed by named sources or first-party data?
- Are examples specific enough to be quotable?
- Is the page updated with clear recency context where it matters?
- Are FAQ, HowTo, and other schema blocks valid and aligned with on-page text?
- Does the page receive internal links from related pages with clear anchor intent?
Common Mistakes
Do not treat ranking position as proof of citation readiness.
Do not add schema that is not represented in visible page content.
Do not run one-off prompts and call it an audit; use a fixed query set for comparison.
Do not update only the title tag when the evidence block is the real weakness.
Do not skip follow-up measurement; no recheck means no learning loop.
Evidence and Source Links
- Google Search Central explains people-first content and reliable signals for long-term visibility:
https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- Google Search Console Performance documentation defines the query-level metrics used to prioritize and evaluate pages:
https://support.google.com/webmasters/answer/7576553
- Google structured data guidance covers valid implementation requirements and rich-result eligibility constraints:
https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data
- Google rich results testing tooling for schema validation:
https://search.google.com/test/rich-results
- Bing documentation on schema markup and answer extraction support:
https://www.bing.com/webmasters/help/marking-up-your-site-with-structured-data-3a93e731
- Google guidance on controlling appearance snippets and indexing behavior with robots meta rules:
https://developers.google.com/search/docs/crawling-indexing/robots-meta-tag
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