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name: seo-keyword-strategist description: Use when researching keywords, mapping search intent, building topic clusters, detecting keyword cannibalization, or optimizing content for entity-based search. Covers keyword strategy, intent classification, clustering, and cannibalization diagnosis. family: seo

SEO Keyword Strategist

Overview

Keywords are entity pointers, not density targets. Google's Knowledge Graph holds 54+ billion entities and 1.6+ trillion facts. Modern keyword strategy is about mapping content to entities and intent, not counting keyword occurrences.

Dead Metrics — Stop Using These

Myth	Reality
Keyword density 0.5-1.5%	No correlation with rankings (2026 study, 1,536 results). Google uses NLP, not word counting
LSI keywords	Confirmed myth. John Mueller: "There's no such thing as LSI keywords." Use "semantically related terms" instead
Content scoring tools predict rankings	Correlation 0.17-0.30 (weak). Use for gap finding, not score chasing
Search volume is accurate	Google Keyword Planner overestimates 54% of the time. Use volumes as directional only

Intent Classification

Intent	% of Searches	Content Type	AI Overview Risk
Informational	52.65%	Guides, how-tos, explainers	HIGH — AI answers directly
Navigational	32.15%	Brand/product pages	LOW — users want specific site
Commercial	14.51%	Comparisons, reviews, "best X"	MEDIUM — sweet spot for clicks
Transactional	0.69%	Product/checkout pages	LOW — users want to buy

Priority: Target commercial intent keywords — high conversion potential, not fully absorbed by AI Overviews. Informational head terms are increasingly zero-click (58.5% US, 83% when AI Overviews appear).

Entity-First Keyword Strategy

Google shifted from "strings" to "things." Optimize for entities, not keyword strings.

Three pillars:

1. Precision — Each page = one canonical entity. Align title, H1, and schema mainEntityOfPage
2. Coverage — Site collectively covers all subtopics that define your niche (topical authority)
3. Connectivity — Internal links mirror Knowledge Graph entity relationships

Practical steps:

• Place primary keyword in title, H1, first paragraph, and 1-2 subheadings naturally
• Cover expected subtopics comprehensively (check People Also Ask for gaps)
• Use schema markup to explicitly declare entities (Product, Organization, etc.)
• Write for meaning, not matching — Google's NLP (BERT, MUM, Gemini) understands synonyms and context

Keyword Clustering

SERP-based clustering is the gold standard. If 3+ of the same URLs appear in top 10 for two keywords, they belong in one cluster.

Rule: One search intent = one keyword cluster = one page.

Method:

1. Collect target keywords
2. Check SERP overlap (same pages ranking = same cluster)
3. Verify intent alignment (informational vs commercial)
4. Assign one cluster per page — never create separate pages for keywords in the same cluster

Cannibalization Detection

Not every instance of multiple pages ranking for the same keyword is a problem. Ahrefs reports 9,700 cases on their own site — almost none need fixing.

It's a problem when:

• Pages swap positions 3+ times in 7 days (red flag)
• Rankings drop 5-15 positions when "wrong" page is selected
• CTR is split between pages serving identical intent

It's NOT a problem when:

• Both pages rank stably in top positions
• Pages serve different intents (blog post = informational, product page = transactional)
• Total traffic from both exceeds what one page would get

Detection via GSC API:

Query dimensions: ["query", "page"]
Group by query → count distinct pages
Flag: queries where count(page) > 1 AND positions swap frequently

Resolution decision:

Signal	Action
Position swapping, same intent	Consolidate — merge weaker into stronger, 301 redirect. Case studies show +200-466% traffic
Different intents, both stable	Leave it — keyword diversification is beneficial
Same intent, one clearly dominant	Re-optimize — change weaker page to target different cluster

Zero-Click Strategy

58.5% of US searches result in zero clicks. When AI Overviews appear, 83% zero-click.

• For informational keywords: optimize for AI Overview citation as brand visibility (even without clicks)
• For commercial keywords: these retain higher CTR — prioritize them
• Track CTR alongside rankings — #1 with 0.6% CTR on an AIO query may be less valuable than #5 without AIO

Anti-Patterns

Don't	Why
Target keyword density percentages	Dead metric — no ranking correlation
Use "LSI keyword" tools	LSI is a myth; use topical gap analysis instead
Chase content scoring tool numbers	0.17-0.30 correlation; score ≠ ranking
Trust search volume precision	54% overestimated; use as directional only
Create separate pages for same-cluster keywords	Causes cannibalization; one cluster = one page
Treat all multi-page rankings as cannibalization	Often beneficial; check for actual harm first
Ignore zero-click data	58.5% of searches get no clicks; factor into strategy