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revenue · 7 min read · 24 September 2026

How to Use Claude AI for Market Research in the UK

How UK small businesses can use Claude AI for market research: competitor scans, review analysis, survey coding and the checks that keep findings honest.

Jacob Horgan, Founder, Irvale Studio
Jacob Horgan
Founder, Irvale Studio
Small business owner in a Manchester café reviewing competitor research notes on a laptop.

Most UK small businesses do their market research the same way: a few evenings of Googling competitors, a skim of their reviews, and a gut feeling. Claude AI can make that process faster and more structured, but only if you point it at the right questions and check what it hands back. This guide covers the practical routine: what to ask, which plan does what, how to analyse your own customer evidence, and where the tool falls short.

What can Claude AI actually do for market research?

Claude AI can search the web, read documents you give it, and sort large amounts of text into themes. For a small business, that means faster competitor scans, quicker analysis of reviews and survey answers, and clearer written briefs. It cannot replace talking to customers or guarantee that a source is accurate.

Claude does two distinct jobs well. The first is desk research: finding and summarising what competitors publish, what they charge, and how they describe themselves. The second is sense-making: taking a pile of messy text, such as 200 Google reviews or a spreadsheet of survey comments, and grouping it into patterns you can act on.

Anthropic's announcement of Research says Claude "operates agentically, conducting multiple searches that build on each other while determining exactly what to investigate next", and returns answers "complete with easy-to-check citations". Value that citation trail most, because it lets you check the work instead of trusting it.

How many UK businesses are already using AI for this kind of work?

Adoption is rising but still a minority habit. The ONS reports that around 35% of UK businesses with 10 or more employees used at least one AI technology in June 2026, and 28% of businesses with 0 to 9 employees did. Large language models were the most common type.

The Office for National Statistics analysis of AI in UK businesses shows a clear gap by size, with larger firms well ahead of micro businesses.

28%UK businesses with 0 to 9 employees using AI, June 2026
Source: ONS
49%UK businesses with 250+ employees using AI, June 2026
Source: ONS
18%UK businesses using large language models, June 2026
Source: ONS

The same ONS article lists a lack of expertise among the main barriers, alongside cost and difficulty identifying use cases. In practice that usually means people try a vague prompt once, get a bland answer, and give up. The routine below is designed to avoid that.

Which Claude plan do you need for market research?

The Free plan includes web search but not Research. Pro adds Research and costs $20 a month billed monthly, according to Anthropic's pricing page. Team seats suit businesses where several people share research projects.

According to Anthropic's pricing page, Pro is listed at $20 a month billed monthly or $17 a month on an annual plan, and Team Standard seats at $25 a month billed monthly or $20 a month billed annually. Research is included on paid plans but not on Free. Prices are in US dollars, so check the UK total, including VAT, when you subscribe.

For most owners, Pro is the sensible starting point. If you want to see how this fits a wider budget, the breakdown in what AI costs a UK small business in 2026 puts subscriptions alongside setup time.

How do you run a competitor scan with Claude?

Give Claude named competitors, a location and a specific question, then ask for a table with a source link on every row. Specific inputs produce useful comparisons. Vague requests such as "research my market" produce generic filler.

A workable prompt for a Leeds dog groomer might read: "Compare these five groomers in north Leeds on services offered, published prices, booking method, opening hours and review themes. One row per business. Link the page you took each fact from. Say 'not published' where you cannot find something."

That last instruction matters. Without it, a model may fill gaps with plausible guesses. Asking it to say "not published" turns a blank into useful information, because a competitor who hides prices is making a positioning choice you can respond to.

Run the same scan every quarter and save each version. The changes between scans (a new service, a price rise, a switch to online booking) often reveal more than any single snapshot.

How can Claude analyse your own customer evidence?

Paste in anonymised reviews, enquiry emails, lost quote reasons or survey answers and ask Claude to group them into themes with counts and example quotes. Your own customer evidence is usually more valuable than anything on the public web.

This is where small businesses get the most from the tool. You already hold research material: Google reviews, "why we went elsewhere" replies, questions people ask before booking. Most owners never read it all in one sitting.

A good instruction is: "Group these 180 comments into no more than eight themes. For each theme give the number of comments, two short verbatim quotes, and whether the sentiment is mostly positive or negative." Then spot check. Pick one theme, open ten of the original comments, and see whether the grouping holds.

Before you paste anything, remove names, emails, phone numbers and order references. The AI data protection checklist for UK businesses covers what to strip and how to set a simple staff rule.

How do you check that Claude's research is accurate?

Open every citation for any fact you plan to act on, especially prices, dates and legal points. Check the page date, confirm the figure appears there, and discard anything Claude cannot source. Treat the report as a draft brief, not a verdict.

A short checking routine works well:

  1. Highlight every number, price and claim in the output.
  2. Click through to the cited page for each one and confirm it says what Claude says.
  3. Check how recent the page is. Old pricing pages and archived news articles are common traps.
  4. Delete anything unsourced, or mark it clearly as an assumption to test.

On a typical report this takes a short sitting, and it is the difference between research and a confident guess.

What can Claude not do for market research?

Claude cannot run primary research for you. It cannot interview customers, observe buying behaviour or read data behind logins you have not connected. It also cannot tell you whether a local market will pay your price. Only real conversations and tests answer that.

Web research reflects what businesses choose to publish, which is not the same as what customers do. A café owner in Bristol might find every competitor advertises oat milk and brunch, but only a week of till data and a few conversations will show what sells at 3pm on a Tuesday.

Use Claude to prepare for primary research instead. Ask it to draft a ten-question customer interview script, a short post-purchase survey, or a list of hypotheses to test with a small ad spend. Then feed the answers back in for analysis.

How do you turn research into decisions?

End every research session by asking Claude for three decisions the evidence supports, the evidence behind each, and what would change your mind. That forces a summary into actions and keeps weak findings from quietly becoming strategy.

A useful closing prompt is: "Based only on the sourced findings above, list three changes I could test in the next 30 days, the evidence for each, and the result that would tell me it failed." Typical outputs are a pricing page rewrite, a new service bundle, or content that answers questions competitors ignore.

That last one links research to visibility. If customers keep asking the same question and no competitor answers it clearly, that gap is worth a page on your site. The explainer on how AEO, SEO and GEO differ for UK small businesses shows why answering those questions directly helps both search engines and AI assistants find you.

How often should a small business repeat this?

A light competitor scan every quarter and a review and enquiry analysis every month suits most small businesses. Keep the same prompts each time so results are comparable, and save each output with its date.

Consistency beats volume. Store your prompts in a Claude project so every run uses the same instructions, and keep a simple log of what changed and what you did about it. Over a year, that log becomes the most honest picture of your market you have.

Next stepSet up Claude for your business researchSee how Irvale Studio builds Claude workflows for UK small businesses.
Common Questions

How to Use Claude AI for Market Research in the UK — FAQ

Can Claude AI do market research on its own?

Partly. On paid plans, Claude's Research mode runs several web searches that build on each other and returns a written report with citations you can check, according to Anthropic's own announcement of the feature. That is useful for a first pass on competitors, pricing pages and industry news. It cannot run a survey, phone a customer or see data locked behind logins you have not connected. Treat its output as a well-organised starting brief, then check every source it cites before you make a decision on it. The strongest use is pairing its desk research with evidence you already own, such as your reviews, enquiry emails and sales records.

Which Claude plan do I need for market research?

The Free plan includes web search but not the Research feature, according to Anthropic's pricing page. Pro includes Research and is listed at $20 a month billed monthly, or $17 a month on an annual plan. Team Standard seats are listed at $25 a month billed monthly, or $20 a month billed annually. For a sole trader or a small team doing occasional competitor and customer research, Pro is usually enough. Move to Team when several people need shared projects and admin controls. Check the pricing page at the point you buy, because UK billing, VAT and plan contents can change.

Is it safe to paste customer data into Claude for analysis?

Only with care. Under UK GDPR you are responsible for personal data you share with any tool, so strip names, emails, phone numbers and order references before pasting reviews, survey answers or enquiry logs. Most market research questions do not need identities anyway, because you are looking for patterns across many comments. If you use a business plan, read the data handling terms and set a simple internal rule about what staff may upload. Keep the original, identifiable data in your own systems and only send Claude the cleaned version.

How many UK businesses already use AI tools like Claude?

The Office for National Statistics reports that around 35% of UK businesses with 10 or more employees used at least one AI technology in June 2026. Among the smallest firms, with 0 to 9 employees, the figure was 28%, while it reached 49% for businesses with 250 or more staff. Large language models, the category Claude belongs to, were the most common AI technology at 18% of businesses. The ONS also lists a lack of expertise among the main barriers, which is why a simple, repeatable research routine matters more than the tool itself.

What are the biggest mistakes when using Claude for market research?

The most common is treating a confident summary as a fact. Claude can misread a source, rely on an out-of-date page or blend two businesses together, so open the citations it gives you. The second is asking vague questions, such as 'research my market', which produce generic answers. Give it a location, a customer type, a price band and named competitors. The third is skipping your own data. Your reviews, lost quotes and enquiry emails often reveal more about why people buy than any public web page, and Claude is very good at sorting that material.

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