SEO (addyosmani) vs SEO (affaan-m)
Two different Claude skills are both called SEO. SEO (addyosmani) and SEO (affaan-m) install under the same name and do different jobs, which is exactly how the wrong one ends up running.
SEO
addyosmani/web-quality-skills
Improves a site's chances of ranking in regular search results by correcting meta tags, adding/schema markup, and tidying sitemaps and other indexability signals. It focuses on classic search-engine signals and on-page/indexing fixes — it does not aim to make content show up in AI assistants' answers or replace a full technical Core Web Vitals audit.
1 scenario in the bank answer to it
SEO
affaan-m/ecc
Finds and fixes practical search problems on a site—crawl/index issues, meta tags, sitemap/robots, schema markup, content gaps, and page‑experience metrics—and produces concrete remediation steps you can apply. It focuses on traditional search ranking and implementation work (including Core Web Vitals and keyword mapping), not on making content show up in AI assistant answers or optimizing for LLM citations.
1 scenario in the bank answer to it
What is the difference between SEO (addyosmani) and SEO (affaan-m)?
- SEO (addyosmani)
- Improves a site's chances of ranking in regular search results by correcting meta tags, adding/schema markup, and tidying sitemaps and other indexability signals. It focuses on classic search-engine signals and on-page/indexing fixes — it does not aim to make content show up in AI assistants' answers or replace a full technical Core Web Vitals audit.
- SEO (affaan-m)
- Finds and fixes practical search problems on a site—crawl/index issues, meta tags, sitemap/robots, schema markup, content gaps, and page‑experience metrics—and produces concrete remediation steps you can apply. It focuses on traditional search ranking and implementation work (including Core Web Vitals and keyword mapping), not on making content show up in AI assistant answers or optimizing for LLM citations.
Should I use SEO (addyosmani) or SEO (affaan-m)?
The clearest answer is a situation each one is unambiguously right for. Both of these are drawn from the game's question bank.
Reach for SEO (addyosmani) when
You just want the classic on-page hygiene handled — correct meta tags, schema markup, and a tidy sitemap so pages get indexed properly. You are explicitly not after a loading-speed overhaul, a keyword strategy, or a trust-and-authority review.
seo-addyosmani focuses on classic on-page indexability signals — meta, schema, sitemaps — and stops short of a full page-experience audit. seo-affaan-m goes further into page-experience metrics and keyword mapping; seo-agricidaniel audits structure and trust/authority; ai-seo-coreyhaines31 targets AI citation. The tell is on-page indexing hygiene only, explicitly excluding speed, keywords and trust.
Reach for SEO (affaan-m) when
Our e‑commerce site lost a lot of organic traffic after a redesign — search tools report many broken links, dozens of pages with identical titles/descriptions, several low‑traffic product pages, and mobile pages feel sluggish. I need a prioritized, practical list of specific fixes my engineers can implement, not a new content plan or a high‑level credibility report.
The correct pick delivers hands‑on diagnosis and a prioritized remediation plan you can hand straight to engineers — it finds practical site problems (dup titles, link errors, slow pages, thin content) and prescribes concrete fixes and implementation steps. The most tempting wrong answer is the one that promises tidy metadata and indexing tweaks — that sounds similar because it mentions on‑page corrections, but it mainly handles tagging and index signals and won’t give the full, prioritized engineering remediation or the page‑experience troubleshooting you need. A full site credibility audit is also attractive, but it focuses on assessing structure and trust across regions rather than producing the immediate, step‑by‑step fixes to restore traffic.
What they have in common
Both are filed under SEO, the axis along which they collide. That shared ground is what makes an agent pick between them on description alone — and what makes it pick wrong.
Nearby comparisons
Reading the difference is not the same as spotting it at speed. That is the game.
Today's session