peopleanalyst

Tools · Marketing

SEO Keyword Plan

Describe a topic — get intent-mapped keyword clusters + content briefs.

How it works

Corpus-grounded (search-intent + topic-cluster/pillar models via the marketing cluster). Proposes keyword clusters by intent (informational/commercial/transactional), a hub-and-spoke pillar/cluster plan, quick wins, and concrete content briefs — flagging that real volume/difficulty should be validated in a keyword tool.

You bring

{ topic, cluster? }

You get

{ topic_summary, keyword_clusters[]{cluster, intent, keywords[], content_idea}, pillar_and_clusters, quick_wins[], content_briefs[]{title, target_keyword, angle}, riskiest_assumptions[], grounded_in, provenance }

Use it for

See it work

example output

Topic: "employee engagement surveys" for a people-analytics SaaS targeting HR leaders at mid-market companies.

SEO Keyword Plan — Employee engagement surveys

Topic: Organic search around employee engagement surveys, aimed at mid-market HR leaders evaluating tools and methods.

Keyword clusters by intent

1. What & why (informational) — employee engagement survey, what is employee engagement, engagement vs satisfaction, drivers of engagement. → Content: a definitive explainer pillar.

2. How-to / questions (informational) — engagement survey questions, how to measure employee engagement, engagement survey best practices, survey frequency. → Content: a question-bank + methodology guide.

3. Tool evaluation (commercial) — best employee engagement software, engagement survey tools, Culture Amp alternatives, engagement platform comparison. → Content: a comparison/roundup with an honest scorecard.

4. Buy (transactional) — engagement survey pricing, request a demo engagement platform, engagement survey vendor. → Content: a pricing + demo landing page.

Pillar-and-cluster recommendation

Build "The Complete Guide to Employee Engagement Surveys" as the pillar page; link out to spoke posts (question banks, benchmarks, action-planning, eNPS) and link each spoke back up. The commercial roundup and pricing page sit one layer down, fed by the informational hub.

Quick wins (high-intent, lower contention)

  • engagement survey questions — high commercial-adjacent volume, satisfiable with a strong asset.
  • [competitor] alternatives — buyers already in-market.
  • eNPS benchmark — specific, linkable, cite-bait.

Content briefs

  • "50 Employee Engagement Survey Questions (by driver)" — target engagement survey questions — angle: organized by validated driver, downloadable.
  • "Engagement vs. Satisfaction: Why the Difference Decides Your Strategy" — target engagement vs satisfaction — angle: methodology-first myth-bust.
  • "Best Employee Engagement Software (2026 Honest Comparison)" — target best employee engagement software — angle: scorecard with explicit trade-offs.

Riskiest assumptions

  • Volume/difficulty here is inferred from intent and category shape — validate in a keyword tool (Ahrefs/Semrush) before committing the backlog.
  • That mid-market buyers search rather than arriving via analyst lists or referrals.

Grounded in: marketing cluster · constructs: search-intent mapping, topic-cluster/pillar model, quick-win prioritization · sources: They Ask, You Answer (Sheridan), pillar-cluster SEO model.

Run it now

Plan your SEO keywords

Get keyword clusters by search intent, a pillar/cluster (hub-and-spoke) recommendation, quick wins, and content briefs to start writing.

Prefer code? Call it over the API or hand it to your AI agent via MCP — POST /api/bicycle/seo-keyword-plan · plan_seo_keywords. API & agent access →

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