seo-competitor-gap-analysis

seo-competitor-gap-analysis is a skill for Claude Code from seranking/seo-skills. It costs 75 tokens per session (1,501 once invoked), scanned A, original, MIT.

A keyword-gap report comparing a website with its organic competitors, meaning competitors that appear in unpaid search results. It finds search terms where competitors rank in the top 20 but the target site does not.

In plain words
What is it for?
Use it with a target domain and three to five competitors to find missing keyword opportunities. It can also discover competitors and rank the opportunities by business value and achievable difficulty.
Why use it?
It replaces guesswork about what content is missing with a ranked list of opportunities. Results can be narrowed by search intent, monthly volume, and ranking difficulty.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the seo-skills plugin — 32 skills, 1 MCP server shipped together

Good fit Use it with a target domain and three to five competitors to find missing keyword opportunities. It can also discover competitors and rank the opportunities by business value and achievable difficulty.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seranking/seo-skills/seo-competitor-gap-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add seranking/seo-skills --skill seo-competitor-gap-analysis
Clone the repo
git clone --depth 1 https://github.com/seranking/seo-skills

Made for: Claude Code.

Or install seo-skills, the plugin that ships this one along with the rest of its 32 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for seo-competitor-gap-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/seranking/seo-skills/seo-competitor-gap-analysis/github.svg)](https://agentmods.dev/skills/seranking/seo-skills/seo-competitor-gap-analysis)
Your own site
<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-competitor-gap-analysis"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-competitor-gap-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for seo-competitor-gap-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-competitor-gap-analysis"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-competitor-gap-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,501 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.01501
Opus 5 $0.00037 $0.00750
Sonnet 5 $0.00015 $0.00300
Haiku 4.5 $0.00007 $0.00150

Measured 11d ago against content hash 1783fb7af4d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

seo-competitor-gap-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/seo-competitor-gap-analysis/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Example output: examples/seo-competitor-gap-analysis-wix-com-20260514/REPORT.md

Competitor Gap Analysis

Identify the specific keywords your competitors rank for in the top 20 that your domain does not, ranked by commercial value and realistic capture difficulty.

Prerequisites

  • SE Ranking MCP server connected.
  • User provides: (a) target domain, (b) 3 to 5 competitor domains (or ask the skill to auto-discover them), (c) market country (default: us), and optionally filters (min volume, max KD, intent).

Process

  1. Validate or discover competitors DATA_getDomainCompetitors

    • If the user did not provide competitors, pull the top 5 organic competitors for the target in the target market.
    • Surface the list to the user and ask them to confirm or override before proceeding.
    • Note: the upstream API does not support limit/offset, so this call returns the full set (~60KB for popular domains) and the MCP harness writes it to a file. Read that file path, parse the {data: [...]} JSON, sort by common_keywords desc, and take the top 5.
  2. Pull competitor keyword sets DATA_getDomainKeywords

    • For each competitor, pull keywords where they rank in the top 20 of the target country.
    • Save per-competitor lists.
  3. Pull target keyword set DATA_getDomainKeywords

    • For the target domain, pull all ranking keywords in the target country (any position).
    • This is the exclusion set.
  4. Compute the gap DATA_getDomainKeywordsComparison (cross-check)

    • Keywords ranked by at least one competitor in the top 20 but not ranked by the target domain at all.
    • Use the comparison endpoint as a cross-check.
  5. Filter and segment

    • Apply user-specified filters on volume, KD, and intent.
    • Segment by intent: informational, commercial, transactional, navigational.
    • Segment by competition: how many of the N competitors rank for each gap keyword.

Read the full file on GitHub · 122 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 122 lines · 75 tokens per session scan A 1783fb7af4d8

Subscribe to this mod's changes

seo-competitor-gap-analysis is a skill published in the GitHub repository seranking/seo-skills (139 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 1,501 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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