Topical Gaps

Topical Gap Analysis — Phase 7

Executive Summary

Topical authority is the #1 long-term competitive moat in local SEO. Google's Helpful Content System (integrated into core algorithm March 2024) rewards businesses that comprehensively cover a topic cluster vs. those that superficially mention many topics. The 25-article threshold signal: sites with 25+ articles in a cluster receive significantly stronger topical authority signals than sites with 10 or fewer (SEMrush 2024). AI Overviews (AIO) cite topically authoritative sources 2–3× more than shallow coverage sites. This phase maps the client's topical universe, identifies coverage gaps vs. top competitors, and produces a prioritized content roadmap.

2025–2026 topical authority benchmarks:

• Pillar pages: minimum 3,000 words; competitive 5,000–10,000 words for high-competition topics
• Cluster pages: minimum 1,500 words; competitive 2,000–2,500 words; Surfer Score ≥70
• Supporting/spoke pages: 800–1,500 words; 3–5 internal links per 1,000 words
• Minimum viable cluster: 1 pillar + 5 cluster pages (starting point); 10–15 = AIO eligibility threshold
• Authority threshold: 25+ articles per cluster = topical authority signal begins accumulating (SEMrush 2024)
• Content decay trigger: >20% YoY click decline → refresh required; >50% → full rewrite or consolidate
• AIO topical citation: 58% AIO surge for businesses with full topic cluster coverage (Amsive early 2026)
• ChatGPT freshness factor: pages updated within 30 days cited at 76.4% rate; AI Overviews prefer content <3–6 months old
• Clustered content vs. standalone: 30% more organic traffic; holds rankings 2.5× longer (HireGrowth 2025)
• Early ranking improvements: 2–3 months after cluster launch; significant topical authority gains: 6–12 months

Pillar-to-cluster ratio benchmarks:

Numbered Action Plan:

Immediate (Week 1)

1. Map the complete topical universe — list all Level 1 pillars (main services), Level 2 clusters (subtopics), Level 3 supporting angles. Use AlsoAsked.com for PAA tree and SEMrush Topic Research for visual cluster map. Effort: 2–3 hrs.
2. Run Ahrefs Content Gap vs. top 3 competitors — Competitive Analysis → Content Gap → enter your domain + 3 competitors → export and cluster by topic. Identify full clusters you're entirely missing vs. individual keyword gaps. Effort: 1–2 hrs.
3. Audit existing cluster completeness — for each service, count: pillar page? cluster pages? supporting pages? Flag clusters below 5 pages as "not started." Effort: 1 hr.
4. Fix orphaned cluster pages — run site_crawler.py → find cluster pages with <3 inbound internal links → add contextual link from pillar (within body copy, not just navigation). Effort: 15 min/page. Priority: 20 (4×5).
5. Add FAQPage schema to all pillar pages — AIO cites pages with FAQPage schema at 3.2× rate. 5 FAQ minimum per pillar, answers ≤50 words. Effort: 30 min/page.

Short-Term (Week 2–4)

6. Create missing high-priority cluster pages — gaps where all competitors have pages but client doesn't. Target 1,500+ words, link to pillar immediately on publish. Effort: 3–5 hrs/page. Priority: 16 (4×4).
7. Expand thin pillar pages to 3,000+ words — use Surfer SEO (target score ≥80) to identify missing NLP entities and sections. Add HowTo schema for process steps. Effort: 6–10 hrs/pillar.
8. Answer top 10 PAA questions per pillar — AlsoAsked.com → extract top 10 questions → add as FAQ entries on relevant service pages + FAQPage schema. Effort: 1–2 hrs. Expected: AIO citation + PAA box wins.
9. Map semantic gaps — identify missing entities (service types, local landmarks, certifications) and concepts (industry jargon vs. customer language, regional naming variants). Effort: 1 hr.
10. Build original data/statistics page per pillar — original research = primary AI citation trigger. Local survey, real project data, proprietary pricing benchmarks. Effort: 8–16 hrs. Priority: 12 (4×3).

Step 1: Read Project Context

Read {AUDIT_DIR}/intake-data.md — business name, services, location. Read {AUDIT_DIR}/content-inventory.md — current content map. Read {AUDIT_DIR}/content-gaps.md — identified topic and format gaps. Read {AUDIT_DIR}/keyword-gaps.md — keyword opportunities.

Tools for this phase:

2025–2026 Topical Authority Context: Google's Helpful Content system (folded into core algorithm March 2024) and AI Overviews reward demonstrable expertise across a topic cluster. Surface-level coverage of many topics is penalized; deep coverage of fewer topics ranks. The goal is topic clusters where every subtopic links to a pillar, and every pillar is internally linked from cluster pages. Google's December 2025 Core Update focused heavily on E-E-A-T and expertise signals; the June 2025 update targeted link authority — the two together now enforce topical depth more aggressively than any prior update cycle.

Content Depth Thresholds (2025 benchmarks):

Content Decay by Content Type (Research 2025):

Section 1: Complete Topical Universe Mapping

Define the Core Topical Universe

For this business, list ALL possible topics that could be relevant:

Level 1 — Main Topics (Pillars): The broadest topics the business should be authoritative on. Example (for a plumber): Emergency Plumbing, Drain Services, Water Heaters, Pipe Repair, Bathroom Plumbing, Kitchen Plumbing, Outdoor Plumbing, Commercial Plumbing

Level 2 — Subtopics (Clusters): Under each pillar, the key subtopics. Example under "Water Heaters": Types of Water Heaters, Water Heater Installation, Water Heater Repair, Water Heater Replacement, Tankless vs. Tank, Cost Guide, Troubleshooting

Level 3 — Supporting Topics: Specific questions, comparisons, how-tos under each subtopic. Example under "Water Heater Installation": How long does it take, What's included, DIY vs. Professional, Building permits needed, Cost breakdown

Section 2: Client vs. Ideal Topical Coverage

Coverage Map

PILLAR: [Main Topic]
├── CLUSTER: [Subtopic]
│   ├── Supporting: [specific angle] → Client: ✅ EXISTS / ❌ MISSING / ⚠️ THIN
│   ├── Supporting: [specific angle] → Client: ✅ / ❌ / ⚠️
│   └── Supporting: [specific angle] → Client: ✅ / ❌ / ⚠️
├── CLUSTER: [Subtopic]
│   └── [...]
Status: Not Started | Partial (X/Y pages) | Complete
Priority: 1-5 | Relevance: H/M/L | Competition: H/M/L

Repeat for each of the main service topic pillars.

Section 3: Cluster Completeness Analysis

For each content cluster, score completeness:

Pillar Page Assessment:

• Does a strong pillar page exist for each main topic?
• Pillar page quality: comprehensive? 2,000+ words? All subtopics linked?
• Cluster pages linked back to pillar?
• Pillar page receiving adequate internal links?

Section 4: Semantic Coverage Analysis

Missing Entities

Key entities that should appear in topic coverage but don't:

• [Entity type]: [specific entity missing and why it matters]

Missing Concepts

Important concepts/terminology not covered:

• [concept]: [pages where it should appear but doesn't]

Missing Questions (PAA Analysis)

For each main topic pillar, check PAA boxes and identify unanswered questions:

Synonym and Variation Coverage

• Are common synonyms for services covered? Example: "water heater" vs. "hot water heater" vs. "boiler"
• Industry jargon vs. customer language — both covered?
• Regional naming variants (if applicable)?

Section 5: Topical Authority Gap vs. Competitors

For each major topic, how does topical authority compare?

Topical Dominance Opportunities: Which topics could this business fully dominate that competitors partially cover?

• [topic]: Client has [X] pages, competitors have [1-2 thin pages] → opportunity to dominate

Section 6: AI Visibility Topical Gaps

AI Overviews and AI assistants increasingly look for topical depth. Gaps in topic coverage = missing from AI recommendations.

AI Coverage Test: For each main topic pillar, ask: "If I asked ChatGPT/Gemini for comprehensive info on [topic] in [city], would this business's content support being cited?"

Identify which pillars need more depth for AI citation:

Section 7: Prioritized Topical Content Roadmap

Priority Matrix (Impact × Feasibility)

Immediate Priority (Next 30 Days)

1. Fix orphaned cluster pages — add <a href="/[pillar-url]"> internal link from every cluster page to its parent pillar. Also add cluster link from pillar. Effort: 30 min each. Priority: 20 (4×5). Expected: direct PageRank flow improvement.
2. Create/upgrade pillar pages to 3,000+ words — For top 2 service clusters with missing or thin pillars: build comprehensive pillar pages using Surfer SEO (target score ≥80) + Clearscope (target A-). Include: all subtopics, 5+ FAQs, HowTo schema, unique local data/statistics. Effort: 8–12 hrs each.
3. Fill "red" cluster gaps — Clusters where ALL competitors have pages but client doesn't: create 1,500+ word cluster pages, link to pillar immediately after publish. Effort: 3–5 hrs each.
4. Answer top 10 PAA questions — Use AlsoAsked.com for each pillar topic → extract top 10 PAA questions → add as FAQ entries on relevant service pages + FAQPage schema. Effort: 1–2 hrs. Expected: AIO citation + PAA box wins.
5. Add FAQPage schema to ALL cluster pages — AIO cites pages with FAQPage at 3.2× rate. Add 5 FAQ minimum per page. Effort: 30 min/page. Priority: 20.

Numbered Action Steps (Comprehensive)

Medium-Term (Days 31–90)

1. Build out secondary clusters topic-by-topic using Ahrefs Content Gap data
2. Create supporting topic content for each established cluster
3. Publish FAQ hub pages for each pillar with schema markup (FAQPage + HowTo)
4. Build original data/statistics pages — survey customers, create localized studies

Long-Term (Months 3–6)

1. Complete coverage of all topic pillars to topical authority status
2. Build seasonal sub-clusters (holiday, weather-related, emergency services)
3. Create emerging topic content before competitors (monitor Google Trends + AlsoAsked weekly)
4. Commission original research/case studies per pillar — primary data = AI citation priority

Deliverable: Complete Topical Map

TOPICAL AUTHORITY MAP — [Business Name]
Generated: [Date]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PILLAR 1: [Main Service/Topic]
├── CLUSTER: [Subtopic]
│   ├── ✅ [Existing page URL] — [title]
│   ├── ❌ MISSING: [page idea] — Priority: High | Est. Traffic: [X/mo]
│   └── ⚠️ THIN: [existing URL] — needs expansion
├── CLUSTER: [Subtopic]
│   └── [...]
Overall Status: [X]% complete
Gap vs. Leader: [X] pages needed to match [competitor]

PILLAR 2: [Main Service/Topic]
[...]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TOPICAL COVERAGE SCORE: [X]%
Pages needed to reach 80% coverage: [X] pages
Estimated time to topical authority: [X months]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Output

Write complete topical map and gap analysis to {AUDIT_DIR}/topical-gaps.md with YAML frontmatter. Write HTML report to {REPORTS_DIR}/phase-7-topical-gaps.html and convert to PDF via python3 scripts/generate_pdf.py.

---
skill: research/topical-gaps
phase: 7
date: [YYYY-MM-DD]
business: [Business Name]
url: [URL]
score: [X/100]
status: complete
topical_coverage_pct: [X%]
pillars_mapped: [X]
gaps_identified: [X]
---

Key consumers:

• strategy/topical-authority — uses map for authority building strategy
• research/keyword-gaps — maps keyword data onto topical gaps
• output/report-generation — topical coverage % in master report section 7

Topical Gap Quick Reference

Cluster Completeness Scoring Table

Content Decay Detection Table (INP + Freshness)

E-E-A-T Signals by Content Tier

GBP + Topical Authority Connection (2025)

GBP Q&A is an underused topical authority signal. Seed GBP Q&A with questions matching your cluster topics — Google pulls GBP Q&A content into AI Overviews for local service queries. Each seeded Q&A pair that appears in AIO = measurable topical authority signal for that cluster.