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As of 13 August 2026, AI can find keywords for your UK market.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsFrase is a purpose-built tool for SEO content research and drafting.
If this goes wrong: you publish content for phrases with weak intent or little demand, then replace the shortlist and adjust the plan.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open a blank document and write down your offer, target UK customers, locations served, main commercial goal, known competitors and the pages you already have.
- Open Google Search Console if the website has one and export recent queries and their landing pages; if it does not, gather phrases from customer emails, sales calls, site search and your existing page titles.
- Paste that business context and any query data into the prompt, keeping the instruction not to invent volumes, rankings or competitor data.
- Ask the chatbot to return the keyword table, topic clusters and prioritised shortlist, then remove any phrase that does not describe a real customer problem or route to your offer.
- Search the shortlisted phrases in Google UK and compare the results, related searches and wording with the proposed intent and page type.
- Check any volume, competition or trend claims against a current keyword research source, then assign the confirmed phrases to new or existing pages and record the evidence beside each decision.
Prompt
Act as an SEO researcher for a UK business. Find and organise keyword opportunities for this offer: [describe the product or service]. The target customers are: [describe the UK audience, including location, sector, job role and level of awareness]. The business serves: [UK-wide or specific UK locations]. The main commercial goal is: [sales, enquiries, bookings, sign-ups or another goal]. Competitors or websites to consider are: [list them, or say none]. Produce a table with: keyword or search phrase, likely search intent, customer stage, relevant UK wording or spelling, topic cluster, suggested page type, commercial relevance, and confidence. Separate exact phrases from broader topic ideas. Do not invent search volumes, rankings, CPC figures, trends or competitor data. If current keyword data is not supplied, label volume and competition as unknown and explain what data would confirm them. Include synonyms, questions and regional wording where useful, but exclude phrases that do not fit the offer or audience. Prioritise the final shortlist by likely business value, evidence supplied, and realistic relevance for this business. State your assumptions and finish with the five checks I should make before using the shortlist in a content or paid-search plan.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Use a tool built for this
The distant third
What it gets wrong
- AI cannot know the phrases your UK customers use unless you supply customer language or current search data.
- It cannot reliably distinguish a phrase that attracts researchers from one that brings people ready to buy without checking the search results and your sales context.
- It cannot confirm current search volume, competition or trends when those figures are not provided by a live data source.
- It cannot choose the commercial trade-off between a highly relevant niche phrase and a broader phrase that may reach more people.
- It cannot replace checking the shortlist against your existing pages, customer service records and actual conversion data.
Even on a YES, the friction has a name: context depth, verification cost and judgement under ambiguity.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT do keyword research for the UK?
- Yes. It can generate UK-specific keyword ideas, group them by topic and intent, and turn them into a shortlist for content or paid search. It cannot confirm current search volumes or demand unless you provide data from a current keyword source.
- How do I find the right keywords for my UK business?
- Give the model your offer, target customers, locations, competitors, customer language and commercial goal. Check its shortlist against Google UK results, Search Console and current keyword data before assigning phrases to pages.
- Can AI tell me how many people search for a keyword?
- Not reliably from a chat prompt alone. Ask it to leave volume, competition and trend fields unknown unless you provide current data from a keyword research tool.
- Is AI keyword research worth it?
- Yes, when you use it for discovery, clustering and drafting a research plan. The value disappears if you publish its suggestions without checking search intent, UK wording, current data and whether the phrase can lead to your offer.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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