Fennec SEO Audit Skill (with Fennec SEO Auditor Extension)

This Skill is designed to work together with the Chrome extension Fennec SEO Auditor to run a quick SEO health check on any given page.

Typical use cases:

• Get a fast overview of a page’s SEO basics (title, meta, headings, canonicals, etc.)
• Verify favicon, Open Graph and structured data exposure
• Spot common technical issues (HTTP status code, redirects, indexability, robots rules)
• Judge whether a page is “GEO‑ready” as a candidate source for RAG / LLM answers

> Chrome extension link:

> https://chromewebstore.google.com/detail/fennec-seo-auditor/fifppiokpmlgceojhfdjbjjapbephcdo

When to invoke this Skill

Use fennec-seo-audit-en when:

• The user provides a URL and asks for a quick SEO audit / health check
• The user wants to confirm favicon / meta / Open Graph / structured data are implemented correctly
• A new article / landing page has just been published and needs a basic SEO / GEO review
• The user wants to use a real page as a GEO example, to see how well it exposes:
• indexability signals
• semantic structure
• brand / entity signals

Avoid using this Skill as:

• A full‑site crawler or large‑scale technical audit (it’s better suited for spot checks)
• A replacement for log analysis or server‑level diagnostics

Human steps (what the user does with the browser)

1. Install and enable the Fennec SEO Auditor Chrome extension

Link: https://chromewebstore.google.com/detail/fennec-seo-auditor/fifppiokpmlgceojhfdjbjjapbephcdo

1. Open the target page you want to audit

(e.g. a blog post, product detail page, homepage, documentation page)

1. Click the Fennec SEO Auditor icon in the browser toolbar:
• Run the standard audit (On‑page / HTML / Links / Images, etc.)
• Wait for the extension to finish and show the report

1. Share the key parts of the report with the assistant:
• Either copy key findings as text
• Or summarize / extract the main issues
• Screenshots are fine too if the platform supports them

The assistant will then interpret the audit and turn it into a clear action plan.

Assistant responsibilities when this Skill is invoked

When fennec-seo-audit-en is triggered, the assistant should:

1. Make sure the user has run Fennec SEO Auditor on the target URL (and guide them if not).

1. Parse and structure the audit output, covering at least:
• Page basics: URL, title, meta description, H1/H2, main intent
• Technical layer: HTTP status, canonical, index directives, robots and sitemap hints
• Content & readability: length, keyword coverage, duplication, thin or low‑value sections
• Media & links: image ALT attributes, internal link structure, external links / broken links
• Brand & GEO signals: favicon, brand / organization info, logo exposure, Schema.org markup

1. Highlight high‑priority issues that are likely to affect:
• indexability and crawling
• CTR and snippet quality
• perceived trust / authority

1. Provide concrete, implementable recommendations for each important issue, not just a restatement of the report.

1. Add a GEO / RAG perspective, for example:
• Is the page easy for a retrieval system to index and match semantically?
• Are there clear entity signals (Organization / Person / Product, etc.) that help LLMs trust this source?
• Does the page risk being treated as “thin / spammy / boilerplate” content?

Recommended output structure

When responding based on Fennec SEO Auditor results, the assistant should aim for a structure like:

1. Page overview
• URL, title, H1, target intent / query

1. Issue summary (with priorities)
• High / Medium / Low priority list

1. Detailed findings and fixes
• Meta & snippets (title, description, OG tags)
• Content & headings
• Internal links & anchors
• Technical / indexability
• Media (images, ALT text)
• Structured data & entity signals

1. GEO / RAG perspective
• How well this page can be retrieved, re‑ranked and cited by LLMs
• Additional suggestions (e.g. add FAQ schema, clarify sections, add data / sources)

Notes and constraints

• The assistant does not directly control the browser or extension; it relies on the user to run Fennec and share the output.
• Recommendations should balance:
• Classic SEO (crawlability, rankings, CTR, readability)
• GEO / LLM needs (structured signals, semantic clarity, trustworthy sources, clear entities)
• The assistant should avoid generic advice and tie recommendations back to:
• the user’s actual page
• the specific issues reported by Fennec SEO Auditor.