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YES

As of 13 August 2026, AI can write your Google Ads copy.

This still needs a person who signs their name to it.

Can you do it?

5 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 costsA purpose-built alternative is Jasper, an AI marketing platform for on-brand campaign copy at volume.

If this goes wrong, the advert can make an unsupported claim, breach a platform rule or send paid traffic to an offer that does not convert.

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 the Google Ads campaign or campaign brief and record the objective, target locations, audience, network, landing page and available ad format.
    2. Gather the current product description, prices, offer conditions, approved proof points, brand guidance and any claims your business cannot substantiate.
    3. Paste those details into the copyable prompt, including the relevant landing-page text and the current Google Ads limits if you have them.
    4. Run the prompt in a chatbot and ask for a second set of options only after removing any unsupported claims it identifies.
    5. Compare every headline and description against your current price list, landing page, terms and evidence for each factual claim, then check the copy against the current Google Ads editorial and policy requirements.
    6. Paste the selected assets into Google Ads, use its built-in validation, correct any rejected or truncated text, and send the final version to a colleague for a brand and claims check before publishing.

    Prompt

    Write draft Google Ads copy for this campaign.

Business: [business name]
Product or service: [what you sell]
Target audience: [specific audience and location]
Campaign objective: [sales, leads, bookings, calls or another objective]
Offer and price: [offer, price and conditions]
Landing page text or URL summary: [paste the relevant text or summarise the page]
Verified claims you are allowed to make: [list only claims supported by evidence]
Brand voice: [plain, formal, friendly, technical or another description]
Competitors or claims to avoid: [details]
Current Google Ads format and character limits, if known: [paste them here or leave blank]

Produce several distinct headline and description options suitable for a responsive search ad. Keep every factual statement within the verified claims, use UK English, avoid unsupported superlatives, avoid promises about results, and do not invent prices, qualifications, availability, awards or customer numbers. Use the current limits supplied above; if no limits are supplied, do not invent them and clearly flag the items that need checking. Label each option by its angle, such as benefit, problem, proof or call to action. After the copy, list any claims, policy risks, missing information or landing-page inconsistencies I must check before publishing.

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

What it gets wrong

  • AI cannot decide which customer insight or commercial angle is genuinely persuasive for your market.
  • AI cannot verify that your claims, prices, qualifications and offer conditions are still accurate unless you provide current evidence.
  • AI cannot guarantee compliance with changing Google Ads policies or predict whether an advert will produce profitable traffic.
  • AI defaults to familiar marketing language when your brand positioning and customer objections are not supplied.

Even on a YES, the friction has a name: judgement under ambiguity, real time truth and verification cost.

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)
Output2
Inputs2
Verification1
Liability1
Effort delta2
Total8 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT write Google Ads copy?
Yes. It can draft headline and description variations quickly when you provide the offer, audience, landing-page facts, brand voice and approved claims. You still need to check the current Google Ads limits, policy requirements and every factual statement.
Is AI-generated Google Ads copy allowed?
AI-generated copy can be used as a draft, but the advert still has to meet Google Ads policies and your legal obligations. You are responsible for unsupported claims, misleading wording, restricted content and anything else you publish.
Will AI make my Google Ads perform better?
No tool can guarantee better performance from the copy alone. AI can create and organise variations, but performance depends on the offer, targeting, landing page, budget, competition and evidence from your campaign.
What information should I give AI to write Google Ads?
Give it the product or service, target audience, location, campaign objective, offer, landing-page content, brand voice and claims you can prove. Also provide the current ad format and character limits, because platform requirements and policy details need checking before publication.

Nearby answers

All Paid ads rulings

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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