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keyword-deep-dive — Claude Code skill: single-keyword research

This skill studies one keyword: reads the Google SERP, inspects the top three competitors and returns a 90-day ranking plan. Useful when you are deciding whether a query is worth chasing.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a claude-code
Open on GitHub

What keyword-deep-dive does

Give the skill a target keyword and it searches Google, reads the top ten results and works through the top three in full. For each of those it records the domain, the content format, an approximate word count, the angle, freshness signals and any E-E-A-T markers. It then classifies the dominant intent as informational, commercial investigation, transactional or navigational.

Zero-click risk gets its own line: how often searches end without a visit, what a featured snippet does to CTR, how an AI Overview shifts clicks. Active SERP features are listed too — People Also Ask, video carousel, local pack — along with a read on whether the results look stable or turbulent. When the dates and titles don't make it clear, the skill says so rather than guessing.

What comes back: a keyword profile, a competitive read of the top three, content gaps, a ranking strategy, two title tag options and one meta description, plus a timeline estimate. If a page already targets the keyword, you get a position diagnosis and a list of quick wins instead of a from-scratch plan. Only the keyword itself is required; no keyword tool sits behind it. Reference files in references/ cover the position-to-CTR curve, AI Overview impact, SERP feature detection, volatility heuristics, difficulty from SERP signals and intent matching — loaded as each step needs them.

What it helps with

  • judge whether a keyword is winnable before writing anything
  • read the SERP intent correctly on a mixed query
  • find subtopics the top three pages skip
  • weigh zero-click risk and AI Overview impact
  • lay out a 90-day plan for a single page

Example prompts for the agent

  • Run a deep dive on the keyword “best espresso grinder” — intent, top 3 competitors, 90-day plan
  • Check whether espresso-grinder.html can rank for this keyword
  • Analyse the SERP for this query and draft two title tag options

How to install keyword-deep-dive

1Skills CLI (Vercel)

npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a claude-code

2Manually: put the files in place

~/.claude/skills/keyword-deep-dive/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/keyword-deep-dive/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about keyword-deep-dive

How do I install keyword-deep-dive in Claude Code?

Run npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a claude-code. The skill lands at ~/.claude/skills/keyword-deep-dive/SKILL.md.

What does keyword-deep-dive do?

It searches Google for your keyword, reads the top ten results and examines the top three pages. You get intent, a competitor breakdown, content gaps and a 90-day ranking plan.

Does it need a paid keyword tool?

No. The research runs on plain search and page reading. If a page won't fetch, the skill flags it instead of reconstructing the content.

Source text

SKILL.md · Apache-2.0
---
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.
---

# 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

## 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)

© inhouseseo · Apache-2.0 · inhouseseo/superseo-skills

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