What does this skill do, and when should you use it?
This SEO/GEO survey skill analyzes content gaps relative to competitor websites. It identifies missing topics, keywords, formats, audience-journey coverage, and GEO opportunities such as definitions, Q&A, and comparison content. It produces an executive summary, prioritized Quick Wins / Strategic Builds / Long-term gaps, a dated calendar for Quick Wins, and success metrics. It requires competitor domains plus your own site or content inventory; demand-only keyword discovery belongs to keyword-research.
Reads your domain, competitor domains, topic or content-type focus, audience, business goals, and any supplied or tool-retrieved content inventory; audits your existing pages and compares competitor volume, formats, topic coverage, and unique assets; identifies keyword, topic-cluster, format, audience-journey, and GEO/AI gaps; prioritizes each gap with the covering competitor, metric labeling, and rationale; produces an executive summary, prioritized gap list, content calendar, and success metrics; and writes a reusable research summary to the specified memory/research/ path.
- A SaaS marketing team wants to compare its site with one to three close competitors before planning the next article batch.
- A content lead has an inventory of existing pages and needs to find competitor-covered topics and keywords that are missing from the site.
- An SEO team wants to identify content competitors published in the last six months that it has not covered.
- A GEO lead wants to find definition, Q&A, and comparison content competitors receive AI citations for.
- An editorial team needs to turn the highest-priority gaps into dated Quick Win assignments.
How do you install this skill?
- Confirm authorization, privacy, and terms before using Firecrawl or other crawling integrations; overseas services may be unreachable from mainland-China networks.
- Memory writes create cross-session persistence; confirm scope, sensitive-data handling, and backup or rollback procedures before use.
- Retain sources for traffic, search volume, rankings, and AI-citation metrics, and do not present model estimates as measured data.
- Shell / CLI
- Network access
- Local filesystem
Python 3
Install the repository collection first. In Claude Code, run /plugin marketplace add aaron-he-zhu/aaron-marketing-skills, then /plugin install aaron-marketing@aaron. On other Agent Skills-compatible hosts, run npx skills add aaron-he-zhu/aaron-marketing-skills, or clone it with git clone https://github.com/aaron-he-zhu/aaron-marketing-skills. The source does not document a dedicated generic-host installation command for this individual skill.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/seo-geo/survey/content-gap-analysis" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Provide your site domain, one to three competitor domains, and optionally the topic scope, content types, audience, business goals, and current content inventory. Example: Find content gaps between my site https://example.com and https://competitor.com. You can also ask: What content am I missing compared to my top 3 competitors? If competitor domains or your own coverage data are unavailable, the skill asks for them instead of switching silently to demand-only keyword research.
What are this skill's strengths and limitations?
- Requires every prioritized gap to name the competitor covering it and explain the evidence and business rationale.
- Covers keywords, topic clusters, content formats, audience journey stages, and GEO/AI content opportunities.
- Separates recommendations into Quick Wins, Strategic Builds, and Long-term work, with dated entries for Quick Wins.
- Can proceed without optional tools while labeling unavailable data as Estimated or N/A.
- Supports Claude Code and compatible Agent Skills hosts and uses the Apache-2.0 license.
- Cannot perform competitor-relative gap analysis without competitor domains.
- Cannot reliably establish missing coverage without your own site or content inventory.
- Traffic, volume, and trend evidence may be Estimated or N/A when connectors or exports are unavailable.
- The source provides no standalone test results, complete platform matrix, or full example-report contents for this skill.
- It does not perform raw keyword-demand discovery; the repository's keyword-research skill is the stated alternative.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Content Gap Analysis this page | 52 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
| Competitor SEO & GEO Analyst | 51 · Use with care | ★ 3k | 12d ago | Apache-2.0 |
| Blog GEO Citation Audit | 55 · Use with care | ★ 2.4k | 13d ago | MIT |
| Blog Cluster Engine | 53 · Use with care | ★ 2.4k | 13d ago | MIT |
| Blog Strategy Architect | 49 · Use with care | ★ 2.4k | 13d ago | MIT |
Compared with the repository's keyword-research skill, this skill finds competitor-relative coverage gaps; keyword-research is the stated option for demand-side keyword discovery.
How did FollowSkills review this skill?
The skill discloses inputs, optional external fetching, metric labels, and memory writes, and requires robots.txt compliance; however, it does not clearly specify user confirmation, rollback, sensitive-data boundaries, or recovery within this skill, so 11 points are deducted.
The procedure, stop conditions, output contract, and Estimated/N/A failure feedback are coherent; however, it depends on CLAUDE_PLUGIN_ROOT, Firecrawl, and shared scripts, and the supplied tests do not cover this skill's key paths, so 12 points are deducted within the static cap.
Triggers, competitor-relative scope, inputs, outputs, and the non-fit boundary for raw keyword-demand discovery are clear; evidence is limited for content-inventory variability, tool reachability, host differences, and complete mainland-China usability, so 5 points are deducted.
The skill provides frontmatter, versioning, Apache-2.0 licensing, quick starts, a contract, progressive workflow steps, templates, examples, limitations, and a next-skill handoff; maintenance ownership, changelog evidence, and update responsibility are not sufficiently clear, so 5 points are deducted.
The contract targets a prioritized gap brief with evidence, calendar entries, and metrics, and the templates are directly usable for structuring delivery; however, results depend on user data or external tools, and the supplied example and frameworks are not real execution evidence, so 9 points are deducted.
Metric provenance labels and the requirement to attach competitor and evidence details provide some auditability; however, there are no real execution records, independent corroboration, or dedicated tests covering this skill's key paths, so 6 points are deducted.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →