Keyword research that maps to revenue, not search volume.
Custom keyword research deliverables for operators or in-house teams. Buyer-intent classification, gap analysis, and topical clustering — not a CSV of high-volume vanity terms.
What's included in keyword research
Six deliverables. No mystery, no theater.
Every engagement ships these. Some scope to your situation, but the discipline doesn't change.
Search-intent classification
Every keyword tagged by buyer intent — informational, commercial, transactional, navigational.
Topical clustering
Keywords grouped into pillar + cluster architecture for content planning.
Competitive gap analysis
What your competitors rank for that you don't — and why.
SERP intent analysis
What Google is actually showing for each term — features, layouts, CTR opportunities.
Local + national keywords
Both surfaces analyzed when local is part of the equation.
Live spreadsheet handoff
Filterable, sortable, sharable. Yours to keep.
How we deliver keyword research
Same four steps. Strategist on every one.
Audit
Real audit by a strategist. Revenue leak map, not a template scan.
Strategy
Signed strategy doc. Named bets with explicit kill criteria.
Execute
Weekly shipping cadence. Real artifacts, not a roadmap Gantt.
Iterate
Monthly business review. Revenue, pipeline, what changes next month.
Strategy-ready keyword research vs. a raw keyword dump
Most agencies don't run this service this way. We do.
Want a strategist running Keyword Research Services for you?
Keyword research reviews
What people actually say on Google.
Verified, attributed, public — pulled live from our Google Business Profile.
Related keyword research & SEO services
One funnel. Four services.
Runs as one strategic system. Every service feeds the others.
Compare your keyword research options
Honest trade-offs. No sales spin.
Weighing your options before you commit? These decision guides lay out the real trade-offs.
Keyword research services
Keyword Research Services
Standalone keyword research is the wrong product for most businesses — what you actually need is content + topical-architecture strategy
Keyword research as a standalone deliverable is a 2010-era SEO product. The output (lists of keywords with volume + difficulty + intent metadata) is increasingly low-value because tools (Ahrefs, SEMrush, Clearscope) commoditized the data and AI assistants commoditized the analysis. What still has value is the work that uses keyword data: topical-architecture strategy, content-cluster planning, internal-linking structure, search-intent mapping. If you’re shopping for ‘keyword research services,’ you’re probably shopping for the wrong thing.
Three things that separate real keyword research from category theater
- Keyword data is commoditized; keyword strategy isn’t — Ahrefs, SEMrush, Clearscope, Surfer, and dozens of AI tools now produce keyword research outputs that are 80-90% indistinguishable. What separates real SEO work is what gets done with that data: which clusters to pursue first, which to ignore, which to consolidate, which to spin out, which compound with existing content vs. which require new content investment.
- Topical-architecture strategy is where keyword research compounds — A list of 5,000 keywords is a deliverable. A topical-architecture strategy (pillar + cluster + supporting-content + internal-linking pattern) is a multi-year competitive moat. Most businesses buying ‘keyword research’ don’t have the architecture to execute against the data — which is why standalone keyword-research engagements typically produce no ranking improvement.
- Search-intent classification matters more than search volume — High-volume keywords with mismatched intent (e.g., informational queries when you sell transactional services) underperform low-volume keywords with matched intent. Keyword-research outputs that report volume + difficulty without intent classification are partial work. Real intent classification (informational / navigational / commercial / transactional) is harder than tools alone can produce.
Questions to ask before hiring standalone keyword research
Should I buy keyword research as a standalone deliverable?
Usually no. Unless you have an in-house SEO + content team capable of building topical architecture and content strategy from raw keyword data, standalone keyword research produces a document that doesn’t compound. The work that compounds is content-cluster strategy with internal-linking architecture — keyword research is one input, not the deliverable.
How is keyword research different from topical-architecture strategy?
Keyword research outputs lists of search terms with metadata. Topical-architecture strategy outputs site structure (pillar pages, cluster pages, supporting-content pages), internal-linking patterns, content-creation roadmap, and consolidation decisions for existing content. The latter requires the former plus 5-10x more strategic work.
Can I use AI tools to do my own keyword research?
For early-stage keyword discovery, yes — ChatGPT/Claude + Ahrefs/SEMrush data can produce reasonable initial keyword research at 1/10th the cost of agency engagement. The value-add of human expertise increasingly shows up at the strategy layer: which clusters to pursue, how to architect them, what content to create vs. consolidate, how to internal-link them. AI compresses the research; strategy still requires expertise.
How much should keyword research + content strategy cost?
Standalone keyword research: increasingly $500-3,000 (commoditized). Content-cluster strategy + topical-architecture plan: $5-25K+ depending on site complexity and competitive depth. Ongoing content + SEO strategy: $4-15K+/month retainer. The pricing skew reflects that the strategy work is where value sits — not the data extraction.
What’s the right keyword research output for our content team?
Cluster-organized keyword groups (pillar + supporting-content), intent classified, prioritized by compounding potential (search volume × conversion intent × competitive achievability), with named decisions about which clusters to pursue this quarter, next quarter, and which to skip. Raw keyword lists without this structure are noise — the content team can’t act on them efficiently.
What keyword research actually looks like inside our engagements
- Topical-architecture strategy: pillar + cluster + supporting-content + internal-linking pattern derived from competitive analysis + keyword data
- Intent classification per cluster: informational / navigational / commercial / transactional intent mapping to content type and conversion path
- Competitive-gap analysis: which keyword clusters your competitors rank for that you don’t, and why (architecture, content depth, link equity, technical issues)
- Consolidation vs. expansion decisions: existing content that should be merged for topical authority, vs. content that needs to be split into supporting-content depth
- Content-creation roadmap with priority sequencing: which clusters to build first, which to amplify, which to skip, which to test
- Internal-linking architecture: pillar-cluster relationship strength, supporting-content link patterns, anchor-text strategy, link-equity distribution
- Ongoing keyword-strategy review: which clusters are compounding, which need additional investment, which to deprioritize
This isn’t for everyone. If you want a 5,000-row keyword spreadsheet handed off with no strategy attached, dozens of tools and agencies will sell you that for $500-2,000. We don’t do that work — it doesn’t compound, it doesn’t produce rankings, and it doesn’t justify our engagement. We work best with businesses ready to invest in topical-architecture strategy that compounds over 12-36 months.
Strategy call: 45 minutes, no slide deck, no pitch — just an honest read on whether keyword research is the right hire, or whether topical-architecture strategy is the work you actually need. Book the call →
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