Keyword Gap Analysis — Claude AI Skill for Competitor Keyword Research

Without Keyword Gap Analysis

With Keyword Gap Analysis

Hours of manual SERP checking to find competitor keyword gaps — and you still miss most of them

Full keyword universe built automatically — via SEMrush for real data, or Claude-native web search with no tools required

No way to know if a gap is owned by one competitor or all three

Every keyword auto-classified: Critical Gap (all competitors rank), Competitive Gap, Single-Competitor Gap, or Weak Position

Raw keyword lists with no prioritization — everything looks equally important

Every keyword scored on volume + keyword difficulty + gap severity — High / Medium / Low priority assigned automatically

Intent guessing — you manually decide if something is informational or commercial

Intent classified for every keyword (Informational / Commercial / Transactional / Navigational) with TOFU / MOFU / BOFU funnel stage tagged

You still have to figure out what content to create for each keyword

Content type recommended for every gap: landing page, comparison page, or blog article — matched to intent automatically

Data lives in browser tabs and manual spreadsheets you have to build yourself

Color-coded Excel file delivered automatically — 3 sheets, frozen headers, autofilter, sorted by priority and volume

The skill navigates to the SEMrush Keyword Gap tool in your browser, intercepts the API response, and pulls up to 5,000 keywords with exact search volume, keyword difficulty, and CPC. It then classifies every keyword, scores priority, maps intent, and exports the full dataset to a formatted Excel file — all without you touching a spreadsheet.

You: "Run a keyword gap analysis — my site is myblog.com,
competitors are siteA.com and siteB.com. Use SEMrush."

Claude: Navigating to SEMrush Keyword Gap...
→ Intercepting API token
→ Fetching keywords: 100... 300... 800... 1,240 total
→ Classifying gaps: 312 Critical · 448 Competitive · 480 Single-Competitor
→ Scoring priority: 186 High · 634 Medium · 420 Low
→ Building Excel file (3 sheets)...
✓ Done — keyword-gap-myblog-vs-siteA-siteB.xlsx ready

Claude searches the web for each domain — discovering top pages, checking head-term rankings, pulling commercial and informational keywords, and extracting People Also Ask signals. Volume and keyword difficulty are estimated from SERP signals (ad presence, result quality, competition level) rather than a database. The gap classification, intent mapping, and priority scoring are identical to SEMrush mode.

You: "Run a keyword gap analysis — myblog.com vs siteA.com.
I don't have SEMrush, use Claude-native."

Claude: Researching myblog.com top pages...
→ Checking 10 head terms across both domains
→ Pulling commercial keywords: "best X alternatives", "X vs Y"...
→ Extracting PAA questions and long-tail signals...
→ 218 keyword candidates identified and classified
→ Note: volume and KD are SERP-signal estimates, not database figures
✓ Excel file ready — treat numeric data as directional

Every analysis ends with a strategic summary posted directly in chat: gap type breakdown by count and priority split, funnel distribution (TOFU / MOFU / BOFU percentages), the top 10 high-priority keywords by volume, and 4–5 opinionated strategic recommendations — naming specific competitors, specific keyword clusters, and specific content types to prioritize. Ready to hand to a content team without editing.

The second Excel sheet filters to High + Medium priority keywords only, excludes Weak Position keywords, and sorts High-first then by volume — this is the ready-to-execute list your content team works from

Summary tables showing gap type breakdown, which competitors own which keyword clusters, intent distribution, and the top 25 high-priority keywords by volume — the strategic overview for reporting to stakeholders