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keyword-deep-dive

Use when planning to rank for a specific keyword.

Skill by inhouseseo

IndexedApache-2.0★ 366
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/inhouseseo-keyword-deep-dive

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: writing, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/keyword-deep-dive

What's inside

Skill name
keyword-deep-dive
Description
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.
License
Apache-2.0
Instructions
136 lines in SKILL.md · view on GitHub

Files (7)

  • SKILL.md
  • ctr-benchmarks-by-position.md · references/
  • difficulty-from-serp-signals.md · references/
  • intent-matching.md · references/
  • serp-features-recognition.md · references/
  • serp-volatility-heuristics.md · references/
  • zero-click-and-aio-impact.md · references/

SKILL.md (first lines)

# 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](https://thedigitalbloom.com/learn/organic-traffic-crisis-report-2026-update/)); 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](https://firstpagesage.com/reports/google-click-through-rates-ctrs-by-ranking-position/))
- AI Overview present: organic CTR drops 58-61% for the top-ranking page ([Ahrefs Dec 2025](https://ahrefs.com/blog/ai-overviews-reduce-clicks-update/) / [Seer Interactive](https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-september-2025-update)); 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

From inhouseseo/superseo-skills, Apache-2.0.

Signals

Stars
366
Forks
45
Open issues
1
Last commit (this folder)
Sep 3, 2026 (1 month ago)
Last release
Sep 3, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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keyword-deep-dive skill. Agent Mart. https://agentmart.dev/skills/inhouseseo-keyword-deep-dive (last updated 2026-10-24)