
Audience research
How to split SEO tool research between sizing a market and equipping one team
A method for splitting SEO tool research: size a market with official counts and sampled demand, equip one team with interviews, trials and weighted scoring.
What to take away
- Fit and size need different evidence. Buying for one team ends in a scored shortlist; sizing a market needs official counts and a paid sample.
- Official statistics give scale, not buyers. Test demand with your own interviews and surveys.
- Keyword and prompt volumes are modelled. Check shortlisted terms against Search Console before they shape spend.
- Five to eight interviews per segment, then a short survey, settles most buying decisions.
- Log the source, date and geography of every figure you repeat.
Fit and size need different evidence
The question decides the method. A team replacing its rank tracker needs fit: seats, reporting, contract length and budget. A supplier testing a prompt-tracking feature needs size: how many UK agencies would pay.
Buying work closes inside a month once a trial and a scoring sheet are done. Sizing needs sampled data, which costs money.
If the decision is buying fit, the walkthrough on choosing an SEO tool for a small UK agency covers trials, seat models and contract terms.
Segment before you research
The SEO tools market is too broad for one pass, so split it into groups you can reach and compare.
Test each segment against three filters, and keep the list to three to five. Longer lists collapse once you try to recruit.
- Can you reach these people through a channel you already use?
- Is the group large enough to justify the research?
- Will they pay for the outcome you describe?
Rank your evidence before you collect it
| Source type | Best used for | Main limitation |
|---|---|---|
| First-party data | Demand, churn, behaviour | Small samples |
| Official statistics | Market scale and definitions | Not buyer level |
| Vendor documentation | Feature checks | Promotional bias |
| Keyword and prompt tools | Buyer vocabulary | Modelled volumes |
First-party data leads. Trial signups, churn notes and support tickets describe behaviour, so state the sample size honestly.
The ONS publishes statistics on the UK IT and internet industry, each release dated with a method note. Use it for sector scale, and Companies House filings for supplier structure.
Vendor documentation sits lower. It shows what a product claims to do, which is weak evidence of demand.
Example: weighting a two-tool shortlist
Weights come from your interviews and scores from your own trials. The figures below are placeholders.
Weighting a two-tool shortlist
Weight
- Rank tracking frequency
- 25%
- Reporting exports
- 20%
- Seat and cost model
- 20%
- API access and metering
- 20%
- Contract length
- 15%
Ahrefs (illustrative)
- Rank tracking frequency
- 4
- Reporting exports
- 3
- Seat and cost model
- 4
- API access and metering
- 3
- Contract length
- 5
Semrush (illustrative)
- Rank tracking frequency
- 4
- Reporting exports
- 5
- Seat and cost model
- 3
- API access and metering
- 3
- Contract length
- 4
Weighted totals land close together, which is normal. Build the criteria with the method for scoring the evidence behind SEO tool claims, not from vendor copy.
Cost is rarely one number. Subscription, seats and API metering are priced separately, so date each list price you record.
Treat keyword and prompt data as vocabulary
Volumes are modelled from clickstream data, so two tools report different figures for the same term. Compare shared terms and read the pattern.
Semrush documents prompt research for AI keyword analysis, which groups questions people put to assistants. That helps when a buyer writes a sentence.
Validate shortlisted terms against Search Console clicks and a seasonality check. The guide to Google Search Console alternatives for UK site owners explains what that data can show.
Test demand with interviews, then count with a survey
Interviews explain why people buy. Surveys measure how many share a view. Run five to eight interviews per segment, and stop when new calls stop producing new themes.
Test demand with interviews
- Walk me through the last time you checked rankings for a client.
- Which tool did you use, and what did it cost?
- What nearly stopped you buying it?
Recruit where the segment gathers, such as a community Slack or your churn list. The guide to SEO tools customer interviews in England compares five formats, from a short call to a written follow-up.
Ask what someone last paid rather than what they would pay, and report response counts beside every percentage.
The ICO publishes advice for small organisations on consent and retention, which should shape your interview notes and survey form.
Common questions
How many interviews do I need before a survey?
Five to eight per segment. Fewer risks building the questions around one person's vocabulary.
Can keyword volume stand in for market size?
No. Volumes model search behaviour rather than counting buyers, so size the market from official statistics and your own demand testing.
Does UK public sector buying change the approach?
Yes. Framework purchases such as G-Cloud need documentation, accessibility answers and a security review before price is discussed.
In this guide
- How to research an audience for SEO toolsA practical method for researching an SEO tools audience: combine keyword demand, analytics and conversations, define segments, and test them with interviews.
- SEO tools buyer personas: data sources that earn their placeA practical guide to SEO tools buyer personas, with named keyword, survey, review, CRM and analytics sources and the evidence to collect from each.
- How to research SEO tools with buyer surveysResearch SEO tools with buyer surveys and official search documentation. Compare features, test claims and disclose your method.
- How to run SEO tools competitor research that stands up to scrutinyA practical checklist for SEO tools competitor research in England, covering source selection, claim testing and how to record findings you can reuse.



