Compare your site with its real Google search competitors and turn measurable keyword, content, and backlink gaps into prioritized SEO opportunities.
Le moyen le plus rapide d'installer une compétence directement depuis le registre.
npx clawhub@latest install seomatic-competitor-gap
Copiez le dossier de la compétence dans l'un de ces emplacements
~/.openclaw/skills/ <project>/skills/ Priorité : Espace de travail > Local > Intégré
Copiez ce prompt dans OpenClaw pour l'installer automatiquement.
Aide-moi à installer seomatic-competitor-gap via Clawhub. Si Clawhub n'est pas installé, installe-le d'abord (npm i -g clawhub).
Obtenez les fichiers bruts de la compétence dans une archive ZIP.
SEOMatic Competitor Gap uses the connected site's Google Search Console data alongside competitor, keyword, SERP feature, page, and backlink research to identify who actually competes for the same searches. It surfaces where competitors rank and the site does not, then groups gaps by topic and intent so recommendations reflect business fit rather than a raw keyword dump.
The skill is built around actionable, approval-first SEO work: it can stage eligible tasks in SEOMatic, but it never publishes changes without user approval. Every recommendation should be grounded in available data; if Search Console is not connected, the workflow asks the user to connect it rather than substituting guesses. Openclaw Skills users can use this analysis to understand why competitors outrank them and decide which opportunities merit action.
serp_competitors using domain_competitors, then compare those domains with the user's known competitors.domain_overview, presenting organic visibility and keyword positions together for an at-a-glance comparison.domain_rankings. Identify terms where a competitor ranks in the top 10 and the site is absent or beyond position 20; cross-check using gsc_performance and query_pages to catch existing site rankings.keyword_research and metrics to assess promising groups for volume, difficulty, and intent.features and site_pages crawl. Compare page type and depth, then use backlink_profile summary to assess authority gaps and link_prospects to find sites linking to competitors but not the connected site.task_manage list, then create up to five appropriate tasks. Explain where to approve them; never approve on the user's behalf. After the user explicitly approves a task, retrieve its result with task_manage get before reporting a change.Add the SEOMatic MCP server to the AI agent using the endpoint and authentication details below. The skill declares no environment-variable or binary requirements.
[https://app.seomatic.ai/api/mcp](https://app.seomatic.ai/api/mcp)smk_ API key from https://app.seomatic.ai/dashboard/settings?tab=ai-agentsseomaticConnect the site’s Google Search Console account at https://app.seomatic.ai/connect/gsc. Search Console must be connected before competitor-gap analysis can proceed; do not replace missing GSC data with estimates.
Confirm the MCP connection can access the SEOMatic tools: serp_competitors, gsc_performance, keyword_research, backlink_profile, site_pages, and task_manage.
To stage tasks, use a SEOMatic paid plan and an API key with the agents:act scope. Staging costs no credits and does not run or publish work; tasks wait for user approval. On a free key, staging is locked, so provide the specific recommended fix for the user to pass on.
No CLI installation commands are specified by this skill.
The skill does not define local output files or a persistent file schema. It gathers analysis through SEOMatic MCP tools and presents findings as comparisons, grouped opportunities, and—when eligible—staged tasks.
| Data area | Source or tool | How it is used |
|---|---|---|
| Search competitors | serp_competitors → domain_competitors |
Finds domains ranking for overlapping keywords. |
| Domain visibility | serp_competitors → domain_overview |
Compares organic visibility and keyword distribution by position for the site and top three competitors. |
| Ranking gaps | serp_competitors → domain_rankings; gsc_performance → query_pages |
Finds competitor top-10 keywords where the site is absent or beyond position 20, while checking the site's own query data. |
| Topic metrics | keyword_research → metrics |
Adds volume, difficulty, and intent context to promising keyword groups. |
| SERP and page evidence | serp_competitors → features; site_pages → crawl |
Helps assess search-result features, competitor page type, and content depth for the top three to five topics. |
| Authority and prospects | backlink_profile → summary and link_prospects |
Compares backlink profiles and identifies sites linking to competitors but not to the connected site. |
| Opportunity report | Ranked topic table | Organizes findings by topic, competitor ranking, their page type, the site's current position, effort, and rationale. |
| Staged work | task_manage → list, create, decide, get |
Checks for duplicates and manages eligible tasks through user review and approval. |
Eligible task types include content_create for a missing page, striking_distance for queries where the site already ranks 11–20, and link_building for an authority gap. Each created task requires a targetKey (a full page URL or a topic for content work), a goal-oriented title, and a rationale containing supporting numbers. The task's estimatedCost.label should be quoted when presenting cost. No task should be described as completed until its result is read with task_manage get.
Chargement
Examinez la visibilité de recherche d'une entreprise locale, le Google Business Profile et les signaux du site web, puis préparez des corrections basées sur des données pour l'approbation de l'utilisateur.

Examinez les propositions de SEOmatic à partir de données réelles de Search Console, consignez vos décisions, surveillez les modifications approuvées et annulez les modifications publiées si nécessaire.

Utilisez des preuves de première partie pour savoir si l’IA cite votre site, récupère vos pages et vous renvoie des visiteurs.

SEOmatic transforme les données réelles de Search Console en une mise à jour SEO hebdomadaire concise qui explique les changements et recommande une action étayée par les données.

Repérez les pages qui ont besoin de liens, identifiez les pages fiables susceptibles de les aider et préparez des tâches de maillage interne contextuel à soumettre à votre approbation.

Trouvez des requêtes de deuxième page ayant un potentiel réaliste pour la première page, estimez leur potentiel de clics et préparez des corrections SEO spécifiques pour votre approbation.








































