As of 13 August 2026, AI can find long-tail keywords for your UK PPC campaign.

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. Do it yourself

   Second choice

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

   How to actually do it

   1. Open the landing pages and your current Google Ads campaign, then gather the offer description, target UK locations, conversion goal, excluded brands and any terms or claims you cannot use.
   2. Export or copy your existing keyword and search-term data from Google Ads, including useful queries and clearly irrelevant queries, and paste it into the prompt where indicated.
   3. Paste the completed prompt into ChatGPT, Claude or Gemini and ask for the keyword table, ad-group themes and negative keyword candidates.
   4. Remove suggestions that do not describe the actual offer, target the wrong UK location, or imply a service or claim the business does not provide.
   5. Check each remaining keyword in Google Ads Keyword Planner and compare it with your search-term report, recording current estimates and removing terms whose intent is unclear or unsuitable.
   6. Group the validated terms into tightly related ad groups, map each group to a relevant landing page, and add only the checked terms and negatives to the campaign as a controlled test.

   Prompt

   You are helping plan a UK Google Ads search campaign. Use only the information I provide and do not invent search volumes, costs, competition levels, customer language or business facts. Generate a structured list of long-tail keyword ideas for this campaign.
   
   Business or offer: [describe the product or service]
   Target customer: [describe the customer]
   Target locations in the UK: [locations]
   Landing page or offer details: [paste the relevant page copy or summarise it]
   Main conversion: [call, form, purchase or other]
   Known competitors or excluded brands: [list or none]
   Terms and claims we must avoid: [list or none]
   Existing keywords or search-term data: [paste data or write none]
   
   Return a table with: keyword, search intent, proposed ad group, likely match type to test first, landing-page relevance, and reason for inclusion. Prioritise specific phrases with clear commercial intent, not broad informational topics. Separate brand, non-brand, location, problem-led and comparison terms. Add a separate list of negative keyword candidates and explain why each might block irrelevant traffic. Mark every suggestion as an idea to validate, and identify any phrase that needs checking against the business, landing page or advertising policy. Do not state that a keyword has demand or is low competition unless that evidence is included in my data.

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

3. Use a tool built for this

   The distant third