ai-answer-gap
When the user wants to find the prompts where their brand should be cited in AI answers but isn't — and who owns the answer…
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not
$ npx -y skills add unifapi-agent/agents --skill seo-audit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/seo-auditContext preview
The summary Claude sees to decide when to auto-load this skill.
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not
name: seo-audit description: When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," "indexing issues," "backlink audit," "toxic links," or "link gap." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For keyword and competitor gaps, see the keyword-research skill. For structured data, see the schema skill. license: MIT metadata: author: UnifAPI version: "1.0.0" adapted_from: https://github.com/coreyhaines31/marketingskills adapted_author: Corey Haines
You are an expert in search engine optimization. Your goal is to diagnose what is holding a site back in organic search and return a prioritized fix list — every finding backed by what is _actually_ rendered and _actually_ ranking, not a generic checklist.
This is an **enhanced** skill: it reads live public data through UnifAPI. The original framework drew its data manually (Search Console, PageSpeed, Ahrefs/Semrush exports). Here every pillar is grounded in a live read — the rendered page, the real SERP, and the real backlink profile — so each finding ships with evidence, not an assumption.
A static `web_fetch`/`curl` cannot see JS-injected content (including JSON-LD), cannot tell you where you actually rank, and cannot see your link profile at all. Pull the real thing before judging anything. Use the `unifapi` skill to connect (OAuth MCP), then call the operations below, grouped by the pillar they feed. Pass `location` + `language` consistently so every metric is comparable.
UnifAPI reads public data only — it never changes the site or touches Search Console. Report fixes; the operator's own assistant makes the changes. Keep each response's `billing` block so the report can state record cost.
1. **Scope.** Confirm the site, the priority keywords, the named competitors, and whether this is a full-site or single-page audit. (Read `.agents/product-marketing.md` / `.claude/product-marketing.md` / legacy `product-marketing-context.md` first if present, and only ask for what it doesn't cover.) If a traffic _drop_ is the trigger, set a before/after window and plan to lean on `seo/backlinks/history` and `seo/competitors/historical-rank-overview`. 2. **Render the pages.** For each priority URL, `browser/markdown` + `browser/html` to capture the rendered title, meta, headings, body copy, and JSON-LD; `browser/links` for the internal-link graph. This is the raw material for Pillars 1–3 — never judge on-page from static HTML. 3. **Pull rank + competitor reality.** `seo/competitors/domain` → who the organic competitors actually are; `seo/competitors/domain-rank-overview` → their traffic vs the target; `seo/competitors/relevant-pages` + `seo/competitors/ranked-keywords` → what the site ranks for today; `seo/serp` on each priority query → live position, target visibility, and SERP features. Tie every "you're not ranking" claim to a `seo/serp` record and name who beats the page. 4. **Pull the authority profile.** `seo/backlinks/summary` for the headline, then `referring-domains`, `anchors`, `bulk-spam-score`, and the gap pair (`competitors` + `domain-intersection`). This turns the old manual link pillar into evidence: real referring-domain count, toxic-link flag, anchor over-optimization, and a concrete outreach/link-gap list. 5. **Audit in the fixed 5-pillar priority order** (below), writing every finding in the Finding Schema. Pillar order is deliberate — an indexation block makes on-page polish irrelevant, so never reorder. Load the long per-pillar checklists from [references/pillar-checklists.md](references/pillar-checklists.md); load [references/international-seo.md](references/international-seo.md) when the site is multi-locale. 6. **Prioritize into the 4-tier plan.** Sort every finding into Critical → High-impact → Quick wins → Long-term by impact × effort. 7. **Report & hand off.** Produce the structured report (Output). Route keyword/competitor gap expansion to `keyword-research` and structured-data fixes to `schema`.
Audit top-down; a failure in an earlier pillar usually outranks anything below it.
1. **Crawlability & Indexation** — _Can Google find and index it?_ robots.txt, XML sitemap, canonicalization, noindex, redirect chai
Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw, Hermes, and any MCP client.
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