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Keyword research services that start with what you already rank for

Most keyword research starts with a tool and a blank page. That skips a useful first-party starting point, which is the list of searches your site already appears for.

Managed search workReviewed 19 October 2026

Thomas HowcroftThomas HowcroftFounder of TomHow, Stevenage

Research that finishes

A keyword list

TermVolumePage
seo for tradespeople320none
local seo costs210none
seo audit price90none
free seo tool1,300none
seo near me880none

Unused A list with no pages built against it.

The same terms, mapped

Service page · exists

  • seo for tradespeople
  • seo for trades business merged

Pricing guide · to build

  • local seo costs

Audit page · exists

  • seo audit price

Not targeting

  • free seo tool wrong intent
  • seo near me held by directories

Mapped Every term has a page, a merge or a reason.

Illustration · fictional terms and volumes

This work is part of the retainer.

01 / What the work covers

Three checks.

YOUR QUERIES · BY POSITIONPOSITION 1-1011-20 · PAGE TWO21-5051 AND BELOW

Check 01

Start with what you already rank for.

Search Console queries grouped by position, so page-two terms surface as the priority.

Limit. Search Console is your own measured data and leads over tool estimates.

Slot · pull-quote from Thomas

Placeholder. Nothing is written for him.

Slot · short video clip

02 / Before you decide

Straight answers.

Can I buy keyword research on its own?

No. It is part of the TomHow retainer. A keyword list with no pages built against it is one of the most common pieces of unused SEO output there is.

Do you use Semrush or Ahrefs volume figures?

They are used to size opportunities, not to find them. Both tools estimate, and both are regularly wrong for lower-volume commercial terms. Your own Search Console impression data is measured rather than modelled, so it leads.

What about a brand new site with no Search Console history?

Then tool data and competitor page analysis carry more weight, and the first plan is treated as a hypothesis to be corrected once real query data starts arriving. The timing depends on when useful query data becomes available.

How many keywords do you target?

Fewer than most plans propose. The plan prioritises useful pages and distinct buyer needs rather than a target keyword count. Progress is judged from the evidence, not the size of the spreadsheet.

Earlier text in full

Who is this page for?

Most keyword research starts with a tool and a blank page. That skips a useful first-party starting point, which is the list of searches your site already appears for.

What this work covers.

Keyword research maps buyer searches to pages with a clear purpose. TomHow starts with available Search Console queries, then uses competitor pages and tool estimates to explore gaps. The output links each priority to an existing or planned page, with its intent, evidence and uncertainty stated. This work is part of the retainer. A new site without search history starts with a testable plan, not a forecast presented as fact.

What the evidence can tell you

Search volume figures from any tool are estimates and frequently wrong in either direction. Position and impression data from Search Console is your own measured data and is treated as the stronger source.

What is in the scope at a glance?

Managed search work An agreed scope Part of the TomHow retainer. 01 A focused set of priorities 02 Implementation within scope 03 A written record of changes Founder-led. Written findings. Clear next steps.

Your Search Console data is the best keyword tool you own.

01 / First-party demand

Every site with any history has a list of searches it already surfaces for. Grouping those by position helps identify pages worth investigating. A term at position twelve with real impressions is a different proposition from a term at position eighty, and no third-party tool can tell you that about your own site.

  • Every query the site has surfaced for, over the full sixteen months Search Console retains
  • Position bands, so page-two terms surface as the priority they are
  • Queries with impressions but few clicks, reviewed for position, intent and result appearance
  • Terms the site ranks for by accident, which often reveal a market you had not considered
High volume with the wrong intent is worse than useless.

02 / Intent, not volume

A term with strong volume that brings people looking for a free tool when you sell a retainer costs you attention and converts nothing. Every candidate term gets classified by what the searcher is trying to do before it is allowed near a content plan.

  • Commercial, comparison, informational and navigational intent, classified per term
  • Whether the current results are dominated by publishers, tools or providers
  • Whether a smaller site can realistically hold position, given who is already there
  • Buyer prompts for AI answer systems, which phrase differently from typed searches
One page per distinct question, and no orphans.

03 / Mapping to pages

Research that ends in a spreadsheet has not finished. Every term that survives the filter gets attached to a specific page, either one that exists or one that needs building, and every planned page gets internal links from somewhere that already has authority.

  • A term-to-page map covering existing pages and gaps
  • Terms merged where they share intent, so two pages do not compete with each other
  • Internal linking routes for anything new, so it is not published into isolation
  • A deliberate not-targeting list, with reasons
Where can I read more?

Managed search work

Make the scope fit your business.

See how ongoing work is structured, or begin with the standalone audit if you need a baseline first.