Keyword research isn't exporting 5,000 rows from a tool. It's discovering commercial opportunity, aligning with search intent, grouping terms into topic clusters, mapping each cluster to a page, and prioritising by what actually drives revenue.
Top clusters
Keyword → page map
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Qualified volume
12
Clusters
92%
Intent coverage
Keyword strategy in 7–10 days
Intent · clusters · page mapping
Intent-led
Every keyword classified by search intent before it's mapped to a page
7–10 days
From business-context intake to full clustered, mapped, prioritised keyword strategy
Business-ranked
Priorities driven by commercial value — not search volume in a vacuum
Implementation-ready
Every cluster has a target page, a content brief direction, and measurable success criteria
At a Glance
Keyword research isn't a spreadsheet — it's six connected layers that turn raw search data into executable SEO direction tied to commercial outcomes.
Every keyword classified by search intent — informational, commercial, transactional, navigational — before any targeting decision.
Discovery of the commercial-intent queries your category actually converts on — not just the high-volume head terms competitors already own.
Related keywords grouped into topic clusters so one page can target a theme, not fifty individual pages competing with each other.
Each cluster assigned to a specific target page — new or existing — so keyword strategy becomes an executable SEO plan, not a spreadsheet.
Ranked on business value × competition × effort — so the 11 clusters that move commercial KPIs surface above the 347 that don't.
A keyword strategy that compounds — new clusters layered on working foundations, and an opportunity pipeline for the next 12 months.
Is This Right for You?
Eight situations where strategic keyword work produces measurable commercial value — and where skipping it silently caps what any amount of content, content refinement, or link building can ultimately deliver.
"You have traffic goals but no keyword direction — the SEO plan says 'grow organic by 40%' but nobody can name the 20 keywords that will actually drive that growth"
Commercial keyword discovery grounded in your category's actual converting queries — with priority ranking so you know exactly which 20 clusters to work first and why.
"Your pages target the wrong searches — existing content ranks for queries that never convert, while the queries your audience actually uses are owned by competitors"
Keyword-to-page targeting refresh — reassigning existing pages to the queries that fit them, or rebuilding content architecture around the commercial terms that matter.
"Your content exists but intent alignment is weak — awareness content ranks for commercial queries, conversion pages rank for informational ones, and nobody ranks for what you actually sell"
Search-intent reclassification across your content library — with rebrief direction per page to realign intent, or consolidation where two pages compete for the same intent target.
"You need better topic clusters before publishing — the editorial team is writing but nothing connects, and the blog feels like isolated articles instead of a ranking system"
Topical cluster architecture with pillar pages, supporting clusters, and internal linking logic — so every new piece of content compounds authority instead of standing alone.
"Your current keyword list is large but unusable — 4,000 rows from a tool, no clustering, no intent tags, no page mapping, no priorities, and no way to know what to do with it"
Keyword list triage and strategy build — classify, cluster, map, and prioritise the 4,000 rows into an actionable strategy document with defined next actions per cluster.
"You need to connect keywords to real pages and real goals — the research got done, the spreadsheet exists, but nobody can tell which page should target which keyword or why"
Keyword-to-page mapping with fit scoring — every priority cluster assigned to a new or existing page, with commercial value and target success metrics defined per cluster.
"You're about to scale content production and want to avoid publishing into a vacuum — investing six figures in content without a keyword strategy is guaranteed underperformance"
Pre-content keyword strategy — topic pipeline, cluster architecture, and page mapping defined before writers start. Every piece has a target cluster and measurable SEO objective.
"You've done keyword research before but it produced a list, not a strategy — the previous agency delivered a tool export and walked away, and nothing actually happened with it"
Strategy-led keyword work from day one — deliverable is a plan your team executes from, not a data dump. Implementation briefs included, not left as an exercise to the reader.
Core Use Cases
Five focused engagements — each built around a specific keyword strategy gap. Find the engagement that matches your current state.
For brands entering a market, launching new products, or expanding into adjacent categories. We find the commercial-intent queries your category actually converts on — not just the head terms competitors have locked down. Opportunity discovery prioritises queries that are attainable, commercially valuable, and under-targeted relative to competition.
Objective
Find high-commercial-value queries your brand can actually rank for and convert on
Outcome
Opportunity pipeline of 50–200 qualified keyword clusters with attainability and value scoring
Key Signals
Scope
Full category discovery + adjacent niches
Primary output
Opportunity pipeline + attainability scoring
Selection criteria
Volume × intent × competition × business fit
What We Do
Service Scope
Eight connected layers — built around turning raw search data into an executable, page-mapped, priority-ranked keyword strategy.
Category-wide discovery across tools, competitive gaps, and adjacent niches — filtered to commercial-intent queries your brand can realistically rank for and convert on.
Every target keyword classified by intent (informational, commercial, transactional, navigational) with SERP-feature analysis to verify the classification against live search behaviour.
Related queries grouped into topical clusters with pillar + supporting hierarchy — so one page ranks for a theme, not fifty individual pages competing with each other.
Every priority cluster assigned to a target page (new or existing) with fit scoring — so research becomes an executable SEO plan, not a data dump.
Per-cluster content brief direction — what the page should cover, which sub-topics belong, what entities to reference, and what queries the page should simultaneously rank for.
Every cluster ranked on business value × attainability × effort — so the 11 clusters that drive commercial KPIs rise above the 347 that don't.
Where two pages compete for the same intent — consolidation, canonicalisation, or reassignment. Where clusters have no home — content gap identification with page recommendations.
Complete keyword strategy document your team executes from — not a raw spreadsheet. Handover session, 30-day check-in, and implementation direction included.
Find Your Fit
Different keyword problems need different engagement shapes. Find the situation that matches yours — we'll show you exactly what we'd build.
The Situation
"We need better rankings — we're publishing, we're building links, but the rankings aren't moving because we don't actually know which keywords are worth fighting for and why."
Ranking failure on existing SEO work is often a prioritisation problem disguised as an execution problem. Effort spread across the wrong 200 keywords produces less movement than focused effort on the right 20. Smarter keyword prioritisation identifies which clusters are realistically attainable, commercially valuable, and under-targeted — then concentrates execution there.
What We Deliver
We build a smarter keyword prioritisation plan: priority matrix scored on attainability × value × competition, with the 20 clusters that deserve focused execution and the 180 that can wait or be retired.
Smarter keyword prioritisation: priority matrix, 20-cluster focus list, retirement / deprioritisation recommendations.
The Situation
"We need better content direction — the editorial team writes, but nothing ranks well, nothing connects, and every piece feels like a standalone article instead of part of a system."
Content without topical architecture is isolated articles pretending to be a content strategy. Topic and cluster targeting groups related content into pillar + supporting structures where every piece reinforces the authority of the rest — so publishing compounds instead of each article standing alone hoping to rank.
What We Deliver
We build a topic and cluster targeting plan: pillar structure, supporting cluster hierarchy, per-cluster content briefs, and internal linking logic that turns isolated articles into compounding authority.
Topic and cluster targeting: pillar + supporting hierarchy, per-cluster briefs, internal linking logic.
The Situation
"We need better page targeting — we have pages, we have keyword research, but we can't tell which page should target which keyword, or whether we have content gaps worth filling."
Keyword-to-page mapping is the step most agencies skip and most clients notice missing six months in. Research produces a list; mapping turns the list into a plan. Without mapping, every piece of content creation is guesswork about whether the new page will duplicate an existing one, whether the existing page should be refreshed instead, or whether the cluster needs an entirely new hub.
What We Deliver
We build a keyword-to-page mapping plan: every priority cluster assigned to a target page with fit scoring, content gap identification, and cannibalisation resolution where existing pages compete.
Keyword-to-page mapping: per-cluster assignment, fit scoring, gap identification, cannibalisation resolution.
The Situation
"We need more qualified traffic — we have visitors, but they're the wrong kind. High-volume informational queries that never convert, while the commercial searches we should own go to competitors."
Traffic without conversion is frequently an intent problem. High-volume keywords often attract low-intent traffic; low-volume commercial queries often convert at 10× the rate. Intent-led keyword selection prioritises commercial fit over volume — targeting the queries that actually produce qualified visitors, not the queries that look impressive in a report.
What We Deliver
We build an intent-led keyword selection plan: commercial-intent prioritisation, informational deprioritisation (or reassignment), and per-cluster qualification scoring against commercial KPIs.
Intent-led keyword selection: commercial prioritisation, informational reassignment, qualification scoring.
The Situation
"We need clearer SEO priorities — we have a keyword list, we have a plan of sorts, but when it comes to the next 90 days, nobody can confidently say 'these 10 things, in this order, will move the KPIs'."
Clarity under pressure requires a framework. A business-value keyword framework scores every cluster on revenue potential, strategic fit, attainability, and effort — then produces a ranked list where the top 10 are the 10 that matter most. Decisions get easier because the framework already answered the hard question.
What We Deliver
We build a business-value keyword framework: per-cluster scoring against commercial KPIs, attainability, effort, and strategic fit — with a ranked list and quarterly execution sequence.
Business-value keyword framework: per-cluster scoring, ranked list, quarterly execution sequence.
Root Causes
Six patterns that turn keyword research into expensive wallpaper — and the strategic alternative that treats keywords as a plan, not a deliverable.
Focusing only on search volume — targeting the highest-volume queries regardless of intent, attainability, or commercial value, then wondering why traffic is high but conversions aren't
Commercial-intent filtering that prioritises converting queries over vanity volume — with per-cluster business-value scoring that reflects revenue potential, not just impression potential.
Ignoring intent — treating keywords as words instead of questions. A query like 'what is X' and 'buy X' have radically different intents; ranking for both with the same page works for neither
Per-keyword intent classification (informational / commercial / transactional / navigational) with SERP-feature verification, and per-page intent alignment so content matches what searchers actually want.
No keyword clusters — a flat list of 4,000 individual queries with no grouping, so the content team writes 4,000 pages competing with each other instead of 40 pages owning topical authority
Topical cluster architecture with pillar + supporting hierarchy — 4,000 queries mapped to ~40 clusters, each with a target page, and internal linking logic that compounds authority across the cluster.
No page mapping — the research happens, the document exists, but nobody can tell which page should target which cluster, so execution stalls or creates duplicate content competing with existing pages
Keyword-to-page mapping with fit scoring — every priority cluster assigned to a target page (new or existing), gap identification for unmapped clusters, and cannibalisation resolution for duplicates.
Too many keywords, no priorities — a list with 2,000 'target keywords' is no plan. Without ranked priorities, every week's work is whatever surfaced loudest, and strategic focus never materialises
Prioritisation framework scoring every cluster on business value × attainability × effort — producing a ranked focus list where the top 20 are the 20 that matter, and the other 1,980 are explicitly deferred or retired.
Content created without targeting logic — writers given briefs that say 'write about X' with no target keyword, no target cluster, no target page, and no commercial KPI. Content ships; ranking doesn't follow
Per-cluster content brief direction tied to keyword strategy — every piece written has a target cluster, a target page, defined sub-topics, entity coverage, and a measurable ranking objective.
Our Approach
Five sequential layers that turn raw search data into an executable, page-mapped keyword strategy — each step builds on the one before it.
Discover
Category-wide keyword discovery across tools, competitive gaps, and adjacent niches — surfacing every commercially viable query your category produces.
Qualify
Each keyword classified by intent and scored on commercial value — so high-volume-but-low-converting queries don't inflate the priority list.
Cluster
Related queries grouped into pillar + supporting clusters with internal linking logic — so every page ranks for a topic, not a single term.
Map
Every priority cluster assigned to a target page — new or existing — with fit scoring, content gaps identified, cannibalisation resolved.
Prioritise
Business value × attainability × effort scored per cluster — producing the focus list where the top 20 clusters are the 20 that actually matter.
How It Works
From business-context intake through opportunity discovery, clustering, page mapping, and strategy delivery — what happens at each stage and what you receive.
Structured intake covering commercial objectives, target audience, current SEO investment, competitive set, and the category's specific search behaviour. The framework for every keyword decision is shaped here — so research stays tied to business reality, not tool output.
Category-wide keyword discovery across tools, competitive gap analysis, SERP-feature scanning, and adjacent-niche exploration. Every discovered query is classified by intent (informational / commercial / transactional / navigational) with SERP-based verification.
Queries grouped into topical clusters using SERP similarity and semantic relationships — producing pillar + supporting cluster architecture where one page can target a theme rather than fifty pages competing for variations.
Every priority cluster assigned to a target page — new to be built, or existing to be optimised. Fit scoring, content gap identification, cannibalisation resolution. Per-cluster content brief direction included.
Complete strategy document your team executes from. Ranked priority list, quarterly execution sequence, per-cluster implementation briefs, and measurable success criteria. Handover session and 30-day check-in included.
Keyword Strategy Outputs in Practice
Four of the strategic outputs every keyword engagement produces — cluster boards, intent segmentation, page mapping, and priority matrices. Built for execution, not dashboard browsing.
Keyword Cluster Board
Sample — pillar terms with supporting keywords, intent, volume, priority
Workflow automation pricing
How to automate workflows
Best workflow tools comparison
Sample outputs shown for illustration. Every engagement produces outputs tailored to your category, business goals, and competitive context.
What You Get
Every engagement produces team-ready outputs — built for execution against commercial KPIs, not data dumps that sit untouched.
Complete strategy document — not a spreadsheet. Priority clusters, target pages, execution sequence, and measurable success criteria.
Every target keyword classified by intent with SERP-feature verification and per-keyword commercial-fit scoring.
Pillar + supporting cluster architecture with internal linking logic — so content compounds rather than competing with itself.
Every priority cluster assigned to a target page (new or existing) with fit scoring, content gaps identified, cannibalisation resolved.
Business-value × attainability × effort matrix per cluster — with top-20 focus list and retire/defer classification for the rest.
Per-cluster content brief direction — target query, sub-topics, entity coverage, internal linking plan, and measurable ranking objective.
What the keyword strategy unlocks — content production sequencing, on-page refinement priorities, and the 90-day next-cycle plan.
Structured handover session with implementation briefs, plus a 30-day check-in to review early ranking signals and refine priorities.
Pricing Plans
Strategic keyword research engagements — from diagnostic audit of existing keyword work through to full clustered, mapped, and prioritised keyword strategy.
Full audit of existing keyword work (or fresh category discovery) with intent classification, initial clustering, and a prioritised 30-day action list.
Complete strategy — discovery + intent + clustering + page mapping + priority framework — with per-cluster content brief direction and implementation roadmap.
Retainer-model keyword strategy — monthly refresh cycles, new-cluster discovery as the category evolves, and the continuous keyword direction that keeps SEO investment compounding.
Tailored to your needs
FAQ
What's included, how this differs from a keyword list, intent analysis, page mapping, existing content support, and implementation.
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Discovered. Classified. Clustered. Mapped. Prioritised. The keyword strategy that turns SEO investment into compounding organic outcomes — delivered in 7–10 days, executable from day one.