Seo Content Gap Audit logo

Seo Content Gap Audit

OrganizationPopular
rampstackco
seo-content-gap-audit

Audit content gaps and decay using Ahrefs MCP data: missing topics, thin coverage, outdated content, and decaying pages. Use this skill when planning a content roadmap, refreshing a stale catalog, building topical authority, or identifying which existing pages need update versus replacement. Triggers on content gap, content audit, content refresh, content roadmap, decaying content, content decay, topical authority, what topics should we cover, where is competitor content stronger. Also triggers when organic traffic is flat despite consistent publishing.

Overview

Publisherrampstackco
Repositoryclaude-skills
Skill nameseo-content-gap-audit
Stars
1K
Forks
134
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rampstackco on GitHub. Read the source before you install it.

Installation

Install the Seo Content Gap Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rampstackco/claude-skills/tree/main/skills/seo-content-gap-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rampstackco/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/seo-content-gap-audit .claude/skills/seo-content-gap-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Content Gap Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Content Gap Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Content Gap Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SEO Content Gap Audit

Find content gaps and decay using Ahrefs MCP data. Stack-agnostic. Produces a roadmap of create, update, merge, and prune actions across the existing content catalog and identified topic gaps.


When to use

  • Planning the next quarter or half of content investment
  • Refreshing a stale or underperforming content catalog
  • Building topical authority in a target space
  • Identifying decaying pages before they tank traffic
  • Audit prep before a major site redesign or migration
  • Diagnosing why content investment is not driving organic growth

When NOT to use

  • Pure keyword research (use seo-keyword)
  • Competitor keyword gap (use seo-keyword-gap-audit)
  • Single-page optimization (use seo-onpage)
  • Pure prune-and-redirect decisions (use seo-content-audit)
  • New site planning with no existing content (use content-strategy)

Required inputs

  • Target property and content scope
  • Competitor set (3-5 properties with comparable content depth)
  • Target topics or pillars (if defined)
  • Existing content inventory with URLs, primary topics, publish dates
  • Performance data (organic clicks per page, ranked keywords per page)
  • Confirmation Ahrefs MCP is connected

The framework: 4 categories of content opportunity

Every content opportunity falls into one of four categories. Different categories need different actions.

Content gap analysis is sharper with multiple data sources. Ahrefs surfaces keyword and topic gaps (the primary backend below). Similarweb surfaces traffic-driving page-level gaps (which of a competitor's pages earn meaningful traffic, not just rankings). Semrush surfaces SERP-feature gaps (where competitors win answer boxes, knowledge panels, People Also Ask placements). The three platforms often disagree on individual data points; that disagreement is itself a useful signal.

Category 1: Missing topics

Topics with traffic potential where the property has no relevant page at all. Competitors often rank in the top 10. The fix: create new content.

Pulled from:

  • Ahrefs Content Explorer (top performing content in target topics)
  • Competitor top pages (Ahrefs Site Explorer)
  • Keyword gap audit output (clustered into topics)

Category 2: Thin coverage

Topics where the property has a page but it is too shallow, narrow, or single-keyword to compete with topical hubs. Competitor pages cover the topic across multiple subtopics. The fix: deepen the existing page or expand into a topic cluster.

Pulled from:

  • Pages ranking on page 2-3 for target keywords
  • Pages with low organic click share relative to ranked keyword volume
  • Pages where competitors have longer or broader equivalents

Category 3: Outdated content

Pages that ranked well historically but have lost ground due to staleness. Information is dated, examples are old, the SERP intent has shifted. The fix: refresh with current information and re-promote.

Pulled from:

  • Pages with declining organic clicks over the last 6-12 months
  • Pages with publish dates over 18 months old
  • Pages with ranked keywords slipping in position

Category 4: Decaying content

Pages that have lost traffic for reasons not obviously about staleness: SERP feature changes, competitor publishing, intent shifts, internal linking dilution. The fix: diagnose why, then refresh, merge, or redirect.

Pulled from:

  • Pages with sharp recent traffic drops
  • Pages where SERP composition has shifted (more video, more featured snippets, AI overviews)
  • Pages that compete with newer pages on the same site (cannibalization)

Workflow

  1. Charter the audit. Scope (whole site or section), goal, time window for performance data.
  2. Pull the inventory. Every URL, with publish date, primary topic, organic clicks, ranked keywords.
  3. Pull competitor coverage. Top pages and content clusters from each competitor.
  4. Classify each existing page. Healthy / thin / outdated / decaying / off-topic.
  5. Identify missing topics. Cross-reference competitor top pages and keyword gap output.
  6. Score each opportunity. See references/content-decision-matrix.md.
  7. Cluster. Group related missing topics into pillar concepts.
  8. Decide actions. Create / update / merge / redirect / prune for each opportunity.
  9. Sequence the roadmap. Quarter by quarter, with effort estimates and traffic forecasts.
  10. Hand off. Output feeds content-strategy, content-and-copy, and seo-onpage.

The action decision matrix

For each piece of existing content or proposed new content, decide one action.

SignalAction
Strong page, healthy traffic, current informationKeep. Defend with internal linking and refresh on schedule.
Page exists, ranking on page 2-3, content is thin vs SERPUpdate. Deepen, restructure, broaden.
Page exists, traffic declining, content is datedRefresh. Update facts, examples, year references, screenshots.
Page exists, low or zero traffic, low ranking, no improvement pathPrune or merge. Redirect to a stronger relative if one exists.
Multiple pages on overlapping topicsMerge into one canonical page. Redirect the others.
Topic missing entirely, competitor coverage strongCreate new page or pillar.
Topic missing, but competitors do not rank well eitherValidate intent before investing. Could be an opportunity or could be a dead end.
Page is off-topic for the propertyRedirect to most relevant page or remove from sitemap.

Failure patterns

  • All-create, no-update bias. Teams default to creating new content. Updates and merges often outperform new pieces by a wide margin and at lower cost.
  • Treating publish date as currency. A 5-year-old page can outrank a 1-month-old page if it is better. Stop deleting old content reflexively.
  • Cannibalization blind spots. Two pages on overlapping topics dilute each other. Audit for it explicitly.
  • No effort estimates. A roadmap without effort sizes cannot be sequenced realistically.
  • No traffic forecast. A roadmap without forecasted impact loses funding fights. Forecast even with wide confidence bands.
  • Refreshing without re-promotion. A refreshed page needs a re-crawl signal: update sitemap, internal links, distribution.
  • Ignoring intent shift. Some keywords have shifted from informational to transactional or to AI-answer-dominated. Recognize when the SERP is no longer addressable by the existing format.
  • Confusing decay with seasonality. A 30% click drop in summer for a back-to-school topic is not decay. Compare year-over-year, not month-over-month.
  • Auditing in isolation from the keyword gap. The two audits feed each other. Run them adjacent.

Output format

A content gap audit document with:

  1. Executive summary. Top 3 themes, content health verdict, recommended quarterly investment split.
  2. Content inventory snapshot. Counts by health classification.
  3. Missing topics. Prioritized list with cluster mapping and traffic forecast, or state the gap per the data-availability rule.
  4. Thin coverage. Pages to deepen, with recommendation for each.
  5. Outdated content. Pages to refresh, with refresh scope.
  6. Decaying content. Pages to diagnose and act on, with hypothesis for each.
  7. Cannibalization findings. Page pairs to merge.
  8. Action roadmap. Quarter by quarter, with effort and forecast.
  9. Methodology. Data sources, classification criteria, caveats.

Length: 8-15 pages plus an attached inventory spreadsheet.


If required data is unavailable

This skill's output depends on data, measurements, or tool results it cannot generate on its own. When a required input, tool, or data source is unavailable or unverifiable, the sanctioned output is the deliverable with the gap stated: what was needed, what was actually obtained or verified, and which parts of the output are affected. Fabricating, estimating, or interpolating a required number to complete the deliverable is never sanctioned. A stated gap is a complete answer.


Reference files

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Content Gap Audit AI skill do?

Audit content gaps and decay using Ahrefs MCP data: missing topics, thin coverage, outdated content, and decaying pages. Use this skill when planning a content roadmap, refreshing a stale catalog, building topical authority, or identifying which existing pages need update versus replacement. Triggers on content gap, content audit, content refresh, content roadmap, decaying content, content decay, topical authority, what topics should we cover, where is competitor content stronger. Also triggers when organic traffic is flat despite consistent publishing.

Why use Seo Content Gap Audit on TypingMind?

Because you install it once and use it with any model. Seo Content Gap Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Content Gap Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rampstackco/claude-skills/tree/main/skills/seo-content-gap-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Content Gap Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Content Gap Audit?

As many as you like. As long as a model supports skills, you can use Seo Content Gap Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Content Gap Audit AI skill free?

Yes. It is published on GitHub by rampstackco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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