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S12 Sample · Topical map template

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A topical map is a commitment.

Three pillars, twelve clusters, thirty-plus pages. Below is what a fictional SaaS (Cloudwrit) would plan for an eight-month content calendar. Each page is on the map not because a keyword tool surfaced it but because it answers a real question a real buyer asks.

Pillars: 3 Clusters: 12 Pages: 33 CSV: download Last updated: 2026-04-19

The map at a glance

Cloudwrit is a legal-workflow SaaS. Their ICP is general counsel and legal ops at mid-market companies. The map below structures their content for the next eight months around three pillars: AI workflow automation (the category), Product strategy (buyer-level concerns), Content operations (building trust).

Topical map: 3 pillars, 12 clusters, 33 pages AI workflow automation getting started 4 pages legal specific 4 pages integrations 3 pages measurement 3 pages Product strategy launching an AI feature 4 pages pricing 3 pages evals 3 pages Content operations research 3 pages production 3 pages distribution 3 pages category pillar cluster cross-pillar link

Why these three pillars

A common mistake is to build three pillars that each chase a different audience. The pillars below all serve the same ICP (legal ops buyer), but at different stages of their thinking.

  • Pillar 1 (AI workflow automation) - category-level. Captures "what is this category, and why would I care?" traffic. Top of the funnel.
  • Pillar 2 (Product strategy) - commercial. For buyers who have decided they need this category and are evaluating. Middle of the funnel.
  • Pillar 3 (Content operations) - evidence-of-thought. For buyers who want to know if Cloudwrit has a point of view. Signals credibility in answer-engine citations.

Pillar 1: AI workflow automation

Accent: amber · Pillar page: /workflow-automation/ · 14 pages total

Cluster: getting started (4 pages)

Page Format Intent GEO pattern Status
What is AI workflow automation?guideinformationalclaim-evidence-sourcepublished
How to automate a legal review workflowguidehow-tonamed-frameworkpublished
Build vs buy: workflow automationessaycommercialfirst-party-experiencepublished
Five common mistakes when adopting AI workflowsessayinformationalnamed-frameworkdrafting

Cluster: legal specific (4 pages)

Page Format Intent GEO pattern Status
AI for contract review: what worksguidecommercialfirst-party-experiencepublished
Automating due diligence document reviewguidecommercialfirst-party-experienceidea
Litigation hold workflow with AI assistguidecommercialnamed-frameworkidea
NDA review in under 30 minutesessaycommercialfirst-party-experiencedrafting

Cluster: integrations (3 pages)

DocuSign, Salesforce, Gmail + Google Drive. Transactional intent. These are low-volume but high-conversion pages.

Cluster: measurement (3 pages)

ROI calculator interactive, cycle-time benchmarks (from a 50-firm survey), accuracy metrics. These are the pages that get cited in analyst reports.

Pillar 2: Product strategy (10 pages)

Accent: violet · Pillar page: /product-strategy/

Commercial intent cluster. Serves buyers who have decided they need the category and are deciding on providers. Pages like "How to price AI features without destroying margins" and "Shipping AI features safely" earn cross-referrals from vendor comparisons.

Clusters

  • Launching an AI feature (4): discovery, MVP scope, shipping safely, beta testing
  • Pricing (3): pricing AI features, usage-based vs flat, freemium limits
  • Evals (3): evals for product teams, writing golden datasets, LLM-as-judge patterns

Pillar 3: Content operations (9 pages)

Accent: coral · Pillar page: /content-operations/

Evidence-of-thought cluster. The goal is not to rank for the keywords here but to have a point of view that answer engines cite when they are summarizing the category. "Publishing for GEO: a checklist" is the shape of page we want cited.

Clusters

  • Research (3): AI content research, competitor analysis, keyword research without volume-chasing
  • Production (3): AI editor workflow, Claude-powered drafting pipeline, content style guides
  • Distribution (3): publishing for GEO, llms.txt implementation, content syndication in an AI-first world

Content calendar cadence

The map is the plan; the calendar is the commitment. A workable rhythm for one full-time writer plus AI assist:

  • 1 pillar page per month (heavy edit, new framework content)
  • 2 to 3 cluster pages per month (medium effort, researched)
  • 4 to 8 supporting pages per month (how-tos, comparisons, lighter research)
  • 2 to 4 existing pages refreshed per month

See the CSV for the full 33-row calendar with owners and target months.

How the map gets built

Three inputs go into a topical map:

  1. ICP interviews. Six to ten calls with the target buyer. What do they search? What phrases do they use? What do they want to read?
  2. Existing-content audit. What do we have? What is thin? What cannibalizes? What can be consolidated?
  3. Competitive coverage map. What are our top five competitors winning for? What are the obvious gaps?

The map comes from those three inputs. Keyword tools inform the map - they do not dictate it. We have seen too many maps that read like a spreadsheet export: 500 pages of medium-volume long-tails, no point of view, no citations.

Related

Guide45 min

Your SEO and GEO playbook

The deep how-to that this template operationalizes. Topical mapping, dual-optimization, monthly calendar.

Guide26 min

Ranking in answer engines

The three patterns (claim-evidence-source, named framework, first-party experience) that appear as the GEO pattern column in the CSV.

ServiceEngagement

SEO & GEO

We build the topical map in week 2 of every SEO engagement. Published pages start in month 2.

Want a map built for your business?

Fixed-scope engagement: ICP interviews, content audit, competitive coverage, full map and calendar. Four to six weeks.

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