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PARTLY

As of 13 August 2026, AI can only partly research keywords for your UK business.

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 SEO content research and drafting tool.

If this goes wrong: you build pages around terms that have little UK demand or attract visitors who are unlikely to buy.

What to actually do

  1. 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.

  2. Use a tool built for this

    Second choice
  3. Do it yourself

    The distant third

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open your website, Google Search Console and any keyword research or search advertising tool you already use, and export the available query, volume and competition data without adding estimates.
    2. Gather your service list, target UK towns or regions, customer descriptions, common customer questions, existing page titles and known competitor domains.
    3. Paste the business details and exported evidence into the prompt, replacing every bracketed slot and stating clearly where no measured data is available.
    4. Ask the chatbot to produce the keyword table, separating ideas from terms supported by the evidence you supplied.
    5. Check each proposed term by searching it in Google with the relevant UK location and compare the results with the stated page intent and your actual service.
    6. Remove terms that do not describe a service you provide, merge duplicates, and send the final page and keyword map to the person responsible for your SEO before publishing.

    Prompt

    Research SEO keywords for this UK business using only the information and source data I provide. Do not invent search volumes, keyword difficulty, rankings, competitor activity or customer behaviour. If current data is missing, label the item as an idea rather than presenting it as a measured opportunity.
    
    Business: [describe the business]
    Products or services: [list them]
    Target customers: [describe them]
    Target UK locations: [towns, regions or nationwide]
    Important customer problems and wording they use: [paste notes]
    Existing website pages: [paste URLs or page titles]
    Known competitors: [paste domains or names]
    Commercial priorities: [leads, sales, bookings, enquiries or another goal]
    Available evidence: [paste Google Search Console queries, keyword-tool exports, customer questions or other data]
    
    Return a table with these columns: keyword, close variants, likely search intent, relevant product or service, target page, evidence source, confidence, and what must be checked. Separate brand, service, problem, location and informational terms. Group near-duplicates together. Prioritise terms by fit with the business and likely commercial value, not by imagined volume. Flag ambiguous terms, terms with the wrong intent, and terms that need local UK wording. Finish with a short list of the best pages to create or improve and explain the evidence for each recommendation.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI does not know current UK search demand unless you provide reliable, current source data.
  • It cannot decide whether a vague term represents a buyer, a researcher, a job seeker or someone looking for a different service.
  • It cannot judge whether your business can credibly compete for a term based only on a list of competitors.
  • It turns your commercial priorities into a recommendation, but the decision about which customers and locations matter remains yours.
  • It cannot replace checking the live UK search results and your own conversion data.

What caps this at PARTLY: real time truth, 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.

AxisScore (0–2)
Output1
Inputs2
Verification1
Liability2
Effort delta1
Total7 / 10

FAQ

Can ChatGPT do keyword research for my business?
It can generate, group and prioritise keyword ideas from your business information and any data you provide. It should not be treated as a source of current UK search volumes or competition figures unless those figures come from a separate verified source.
Can AI find keywords for a local UK business?
Yes, it can suggest service, problem and location terms for towns or regions in the UK. Check each suggestion against the live search results and your actual service area because AI can confuse local intent or use wording your customers do not use.
Is AI keyword research accurate?
It is useful for organising ideas, but accuracy depends on the source data and the business context you supply. Treat unsupported volumes, difficulty scores and competitor claims as unverified rather than facts.
What is the best AI tool for keyword research?
Frase is a suitable purpose-built option because it combines SEO content research with drafting. You still need to check its recommendations against your own website data, commercial priorities and the current UK search results.

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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