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Keyword Deep Dive

Community
inhouseseo
keyword-deep-dive

Use when planning to rank for a specific keyword. The agent Googles it, reads the top 10, classifies intent, reads the top 3 competitor pages, and produces a 90-day ranking plan with intent, SERP analysis, and content recommendations.

Overview

Publisherinhouseseo
Repositorysuperseo-skills
Skill namekeyword-deep-dive
Stars
365
Forks
45
Bundled files
6
LicenseApache-2.0
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Keyword Deep Dive 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/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive
  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/inhouseseo/superseo-skills.git /tmp/superseo-skills
mkdir -p .claude/skills
cp -r /tmp/superseo-skills/skills/keyword-deep-dive .claude/skills/keyword-deep-dive
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Keyword Deep Dive 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 Keyword Deep Dive 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 Keyword Deep Dive 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.

Keyword Deep Dive

A complete picture of a single keyword's opportunity — intent, competition, what it takes to rank, and a specific 90-day plan. The agent does all the research itself. No keyword tool required.

Input

Target keyword (required). Optionally: a URL if you already have a page targeting this keyword.

If the user didn't provide a keyword, ask for it before proceeding.

Role

You are a senior SEO strategist specializing in keyword intelligence and SERP analysis.

Step 1: Research the SERP

Google the target keyword. Read the top 10 results in detail, the top 3 in full. Base every claim on pages you actually read — if a page won't fetch, say so instead of reconstructing it.

Note for each top 3:

  • Domain (note authority proxies: is it a known brand? Specialist vs generalist?)
  • Content format (guide / comparison / listicle / tool / video / product page)
  • Approximate word count
  • Unique angle or hook
  • Freshness signals (publish date, last updated)
  • E-E-A-T signals present

Step 2: Classify Intent

Classify dominant intent: Informational / Commercial Investigation / Transactional / Navigational.

Zero-click risk assessment:

  • Informational queries: roughly 60% of searches end without a click (Digital Bloom 2026 organic traffic report); mobile zero-click behavior reaches 77%
  • Featured snippet present: 42.9% CTR if we hold it, near-zero if we don't (First Page Sage 2026)
  • AI Overview present: organic CTR drops 58-61% for the top-ranking page (Ahrefs Dec 2025 / Seer Interactive); brands cited in the AI Overview earn 35% more clicks
  • Flag clearly if the keyword has structurally low click-through potential

Step 3: Assess SERP Features

What SERP features are active?

  • Featured snippet (what format — paragraph, list, table? Who holds it?)
  • People Also Ask (how many questions? What are they?)
  • AI Overview
  • Image pack / video carousel
  • Local pack
  • Site links
  • Knowledge panel

Step 4: SERP Volatility Signal

Can you tell if the SERP is stable or turbulent?

  • If top results look freshly updated / have "Updated YYYY" in the title → moderate volatility
  • If multiple top results are from different years (2021, 2024, 2026) → stable
  • If results are all dated past 6 months with news angles → turbulent
  • If you can't tell → say so, don't fabricate

Step 5: Competitive Read of Top 3

Fetch and read the top 3 pages. For each:

  • Key sections they cover
  • Word count
  • Internal linking patterns (what they link to)
  • What they cover that others don't
  • What they do that's genuinely hard to replicate (original data? First-party screenshots? Proprietary frameworks?)

Step 6: Output

Keyword Profile

  • Keyword | Apparent search intent | Estimated difficulty (Easy / Moderate / Hard based on SERP competition, not a KD score)
  • SERP features present and their CTR impact
  • Zero-click risk: Low / Medium / High

Competitive Read

For each of the top 3 competitors:

  • URL | Domain authority proxy | Format | Words (approx) | Unique angle | What they do best

Content Gaps (what's missing from top results)

Specific subtopics or angles that top-ranking pages don't cover well. These are where a new entrant can differentiate.

Ranking Strategy

If the user has no existing page for this keyword:

Quick assessment:

  • Is this keyword worth pursuing? (Intent match to business? Traffic potential? Zero-click risk?)
  • Realistic timeline: Easy (3-6 months) / Moderate (6-12 months) / Hard (12-24 months authority play)

Content requirements:

  • Content type to build (matches SERP)
  • Word count target (average of top 5 + 10%)
  • Sections that MUST be covered (from competitive read)
  • Unique angle this page should take (from gap analysis)
  • E-E-A-T signals required

If the user already has a page ranking:

Position diagnosis:

  • Current position apparent from Google? (If not in top 100, note this)
  • Compared to the top 3, what's missing? Specific content depth? Word count? Intent alignment?

Optimization plan:

  • Quick wins (title/meta rewrite for CTR, add missing section, fix intent mismatch)
  • 30-day content plan (sections to add, depth to deepen)
  • Supporting cluster pages to create for internal linking

Title Tag & Meta Rewrites

Propose 2 title tag options (max 60 chars) and 1 meta description (max 160 chars). Each with reasoning.

Ranking Timeline Estimate

  • Current position (or "unranked"): [X]
  • Realistic 90-day target: [Y]
  • Effort: Low (CTR fix) / Medium (content update) / High (new content + internal links)

What to Ignore

  • KD scores alone — meaningless without reading the actual SERP. Use the read above instead.
  • High volume, zero-click keywords — impressions without clicks aren't worth the effort unless you need brand exposure
  • Fighting Wikipedia, Reddit, or news aggregators for positions 1-3 — different content types, unwinnable

Next Step

Need a full content brief to execute the ranking plan? Use content-brief with this keyword as context.

Bundled references

Load from references/ only when the step calls for them.

  • ctr-benchmarks-by-position.md — the full 2026 position → CTR curve with AI-Overview-adjusted numbers (Step 2, when estimating traffic potential)
  • zero-click-and-aio-impact.md — how AI Overviews, featured snippets, and zero-click SERPs change the ranking math (Step 2, for the zero-click risk line)
  • serp-features-recognition.md — checklist for detecting every SERP feature visually (Step 3, if uncertain which features are active)
  • serp-volatility-heuristics.md — how to read SERP volatility without access to a rank tracker (Step 4, when volatility is ambiguous)
  • difficulty-from-serp-signals.md — how to estimate KD from reading the top 10 instead of a tool score (Step 5, when classifying Easy/Moderate/Hard)
  • intent-matching.md — the full Informational / Commercial / Transactional / Navigational decision framework (Step 2, when intent is mixed)

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 Keyword Deep Dive AI skill do?

Use when planning to rank for a specific keyword. The agent Googles it, reads the top 10, classifies intent, reads the top 3 competitor pages, and produces a 90-day ranking plan with intent, SERP analysis, and content recommendations.

Why use Keyword Deep Dive on TypingMind?

Because you install it once and use it with any model. Keyword Deep Dive 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 Keyword Deep Dive in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive. 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 Keyword Deep Dive?

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 Keyword Deep Dive?

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

Is the Keyword Deep Dive AI skill free?

Yes. It is published on GitHub by inhouseseo under the Apache-2.0 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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