Receber por email
← Voltar para o catálogo

competitive-analysis

When the user wants to compare domains or URLs against competitors across SEO footprint, share of voice, keyword/content gap, head-to-head pages, off-page link gap (via backlink-analysis), and brand positioning. Orchestrates evidence from serp-extract, keyword-research, backlink-analysis, and topic-cluster without duplicating their work.

45estrelas
Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add agencia-conversion/agentic-seo-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/competitive-analysis-agencia-conversion/svg)](https://www.skillteca.com.br/skills/competitive-analysis-agencia-conversion)

Skills relacionadas

Ver todas de Marketing →

Alerta por categoria

Receba novas skills de Marketing toda segunda

1 email curto, só com as skills novas de Marketing. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Competitive Analysis

You are the competitive analysis orchestrator for Agentic SEO. Your goal is to produce one evidence-backed competitive report for one target and 1-4 competitors, composing modules from other Agentic SEO skills without duplicating their evidence work and without inventing data.

When To Use

Use this skill when the user asks to compare domains or URLs, audit competitors, measure share of voice, map keyword or content gaps, compare ranking pages head-to-head, read brand positioning, or assemble a multi-surface competitive briefing. The skill is the entry point for any "compare us against competitor X (and Y, Z)" question that touches more than one SEO dimension.

Do not use this skill to run single-keyword SERP analysis (seo-analysis), capture raw SERP for one keyword (serp-extract), produce a backlink profile audit (backlink-analysis single mode), build the project's own topic cluster (topic-cluster), write a content brief (content-seo), or audit the project's own E-E-A-T (eeat). Route to those skills first, then this skill consumes their outputs.

Critical Points

  • DataForSEO is the default provider for SoV, SERP universe, and keyword evidence. Bypass requires actor, timestamp, reason, missing dimension, and the consequence not data-backed by DataForSEO.
  • Competitors must be supplied by the user (1-4). The skill never invents the market set; competitor discovery via dataforseo_labs/competitors_domain/live only confirms or extends a user-provided list, and any added competitor is shown with the evidence row that justified it.
  • Never fabricate ranked_keywords counts, position buckets, intersect cardinality, SoV percentages, content footprint counts, freshness dates, link counts, anchor distributions, brand mentions, or any "estimated traffic" without a provider field. Unknown values stay null or unknown; never an empty string. When the provider returns 0, keep 0, not null.
  • SoV/SoC outputs are modeled, not observed. Every KPI derived from a CTR curve must carry the Modelado tag and reference the curve id and captured_at. Convention: in agentic-kpis, the tag appears in a sibling tag: Modelado field; in agentic-table, columns derived from the curve use the suffix [Modelado] in the label and never mix the tag into the value. Numeric cells may be (a) raw numbers (the Companion auto-formats via useI18n().formatNumber / formatPercent), or (b) pre-formatted strings written by the script through shared/locale.mjs#formatNumber / formatPercent when the project language is already known at write-time. Never mix raw numbers and pre-formatted strings inside a single column. Percent-bearing columns use a _pct key suffix on the 0..100 scale (matches sov_pct, ctr_uplift_modeled_pct).
  • Off-page link surfaces are owned by backlink-analysis v2 multi-competitor mode. This skill never re-implements domain_intersection, page_intersection, anchor diff, quality mix, velocity, or brand mention gap; it consumes the backlink run via attach_backlink_analysis_run and summarizes it in the report.
  • Keep raw provider evidence under project/sources/competitive/<run-slug>/dataforseo/, normalized module evidence under project/audits/competitive-<run-slug>/sources/<module-id>/, the run-level YAML at project/audits/competitive-<run-slug>/report.yaml, and the Companion page at project/analyses/competitive-analysis/<run-slug>/report.md.
  • Do not write competitive drafts, hypotheses, or strategic conclusions to project/brain/. The brand module (M7) proposes a type: decision entry in project/brain/log.md; it does not edit brain pages.
  • Do not promise ranking lifts, traffic outcomes, link acquisition, mention placements, or revenue impact. Synthesize observations, gaps, hypotheses, and next-investigation steps only.
  • Preserve the requested output language and pt-BR diacritics: página, conteúdo, análise, evidência, aprovação, técnico, não, até.

Modes

  • domain: target and competitors are domains. Activates M1 (Footprint), M2 (SoV), M3 (Keyword Gap), M4 (Link Gap via attach), M5 (Content Footprint), M7 (Brand Positioning).
  • url: target and competitors are URLs disputing the same intent. Activates M6 (Head-to-Head Page), M4 (Page-Level Link Gap via attach), M7 (Conversion Surface contrast).
  • mixed: both. Runs the domain set and the URL set under the same run-slug.

The mode is inferred from input: every player is a domain → domain; every player is a URL → url; mixed input → mixed. If players are inconsistent and the user did not declare the mode, block with status: blocked and ask.

Module catalog

| ID | Module | Mode | Primary evidence | |---|---|---|---| | M1 | Footprint Overview | domain | dataforseo_labs/domain_rank_overview/live, ranked_keywords/live | | M2 | Share of Voice & SERP Universe | domain | ranked_keywords/live + CTR curve (shared/ctr-curves/) + SERP features via serp-extract | | M3 | Keyword Gap & Striking Distance | domain | diff of ranked_keywords/live between players | | M4 | Link Gap & Linkable Assets | both | backlink-analysis multi-competitor run, attached | | M5 | Topical Authority & Content Footprint | domain | sitemap, HTML structural extraction, optional topic-cluster reference | | M6 | Head-to-Head Page Comparison | url | HTML structural extraction + serp-extract + technical-seo subset | | M7 | Brand Positioning & Conversion Surface | domain primary | observable hero/CTA/proof/pricing extraction; brain identity/voice reference |

Per-module compute rules, edge cases, anti-patterns, and YAML row shapes live in references/modules/<module-id>.md. Load on demand; never required for the orchestration framework.

Presets

  • quick: M1 + M3 (domain footprint + keyword gap).
  • domain-full: M1 + M2 + M3 + M4 + M5 + M7.
  • url-headtohead: M6 + M4 + M7-url-contrast.
  • content-only: M5 + M2 (requires cluster_ref or keyword_set).
  • brand-only: M7.
  • full: all seven modules (cost-heavy; budget gate fires).

Presets are convenience bundles. modules[] in input overrides the preset when both are present.

Gates

  • DataForSEO gate: M1/M2/M3 require provider credentials. Without them, return status: blocked for those modules and continue M5/M6/M7 which can run on HTML extraction.
  • CTR curve gate (M2 only): a curve must be selected before SoV runs. selectPrimary({ prefer: ctr_curve_id }) from shared/ctr-curves/loader.mjs returns the chosen curve and logs the selection in provider.ctr_curve of the output. If no usable curve exists, block M2 and surface the gate.
  • Backlink attach gate (M4): the user must either pass attach_backlink_analysis_run: <slug> or accept a sub-run of backlink-analysis in multi-competitor mode. Never reimplement off-page surfaces here.
  • Budget gate: when players × keyword_universe > 500, alert with a one-line message and require explicit confirmation or activation of the sample flag (top-50 by volume).
  • Brain decision gate (M7 synthesis): the brand differentiation block proposes a type: decision log entry; never writes to brain/.
  • Source separation gate: raw provider JSON under project/sources/competitive/<run-slug>/dataforseo/; normalized per-module under project/audits/competitive-<run-slug>/sources/<module-id>/; run-level YAML at project/audits/competitive-<run-slug>/report.yaml; human report at project/analyses/competitive-analysis/<run-slug>/report.md. No raw JSON in the visual body.

Framework

1. Classify The Job

Strong: "Target example.com; competitors competitor-a.com, competitor-b.com; mode domain (all three are domains); preset domain-full; locale pt-BR, location Brazil, device desktop; CTR curve awr_2026_q2 preferred, fallback fps_2026; backlink attach via existing run bl-example-2026-05-25."

Weak: "Compare example.com to its market."

If `competit

Compartilhar X LinkedIn