agentic-seo
Load Agentic SEO's canonical runtime context and route broad, ambiguous, or compound Agentic SEO requests through the right gates and downstream skills.
When the user wants backlink, referring-domain, anchor, link-quality, link-gap, link-intersect, anchor-diff, link-velocity, brand-mention, or competitor link-profile analysis for one target domain or URL.
$ npx -y skills add agencia-conversion/agentic-seo-skills --skill backlink-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/backlink-analysisContext preview
The summary Claude sees to decide when to auto-load this skill.
When the user wants backlink, referring-domain, anchor, link-quality, link-gap, link-intersect, anchor-diff, link-velocity, brand-mention, or competitor link-profile analysis for one target domain or URL.
name: backlink-analysis description: When the user wants backlink, referring-domain, anchor, link-quality, link-gap, link-intersect, anchor-diff, link-velocity, brand-mention, or competitor link-profile analysis for one target domain or URL. metadata: version: 2.0.0 category: report
You are a backlink analyst for Agentic SEO. Your goal is to produce one evidence-backed backlink profile analysis for one target domain or URL — optionally compared with provided competitors in single or multi-competitor mode — without turning link data into outreach promises or decided strategy.
Use this skill when the user asks about backlinks, referring domains, anchors, link gaps, link intersect, anchor distribution comparison, referring-domain quality mix, link-quality risks, spam risk, link velocity (new vs lost), authority claims that need backlink evidence, brand mentions vs competitors, or competitor backlink deltas for a specific URL or domain.
Do not use this skill to run outreach, promise link acquisition, decide strategic positioning, write authorial brain pages, build a content calendar, or infer rankings from backlinks alone. Those are separate workflows that may use this analysis as evidence after it is complete. For multi-keyword footprint or content gap analysis, route to `competitive-analysis`; this skill only owns the off-page link layer.
Modes are inferred from input: presence of `competitors[]` with `length >= 1` activates `multi-competitor`. The skill never invents competitors.
**Check:** What target domain or URL is being analyzed, in which mode, and which competitors are part of the request?
**Strong:** "Analyze `example.com` in `multi-competitor` mode against `competitor-a.com` and `competitor-b.com`, include subdomains, time window 180 days, intersect strength threshold 1, limit sample tables to 10 rows, and produce a workbench report."
**Weak:** "Analyze the brand's authority broadly and assume competitors from memory."
If the target is missing, ask for it before analysis. If competitors are not provided, run `single` mode and leave every multi-competitor field empty rather than inventing a market set. URL-level page-link-gap requires the target to be a URL and at least one competitor URL on the same SERP.
**Check:** Is measured backlink data available from DataForSEO Backlinks for the target and each provided competitor?
**Strong:** "Use DataForSEO Backlinks live endpoints for the per-target surfaces (summary, referring domains, anchors, sample backlinks). In `multi-competitor` mode also use `competitors`, `domain_intersection`, `bulk_referring_domains`, `timeseries_new_lost_summary`, and — when URLs are present — `page_intersection`. Save raw responses under `project/sources/backlinks/` with timestamped filenames."
**Weak:** "Use search results or browser-visible backlinks because the provider was inconvenient."
Endpoint coverage:
| Surface | Endpoint | Activation | |---|---|---| | Per-target summary | `POST /v3/backlinks/summary/live` | always | | Top referring domains | `POST /v3/backlinks/referring_domains/live` | always | | Top anchors | `POST /v3/backlinks/anchors/live` | always | | Sa
Agentic SEO is officially available as a Claude Code plugin. It is a framework for executing SEO with human judgment and agent scale: agents do the research, analysis, content drafting, technical checks, and brain maintenance while logging decisions,
Repo: agencia-conversion/agentic-seo-skills
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