Ad copy and creative

Build chat cards and context hints from real local search questions

Turns the problem and question searches behind your Business Profile and Search Console into customer intents, finds the ones your ChatGPT Ads context hints miss, and drafts new hints and chat cards for them.

When to use it

When you want your ChatGPT Ads to show up in the conversations your local customers actually have, but you don't know which questions and problems you are missing.

What you get

An intent table showing which customer questions your context hints do not cover, plus drafted hints and paused chat cards for those gaps, shown as a preview for approval.

Does it change anything in my account?

Only with your approval. The assistant first shows a preview of every change and waits for your go-ahead.

Works with

Business Profile, Search Console, ChatGPT Ads

Fill in before sending

[business location][Search Console property][ChatGPT Ads campaign][landing page URL][image URL]

Pull the searches people used to find Business Profile location [business location] over the last 3 months, including low-volume terms. Google reports these with a delay of about 2 months, and small terms only as "fewer than N", so treat those as estimates. Also pull the Search Console queries for property [Search Console property] over the last 90 days. Keep only problem and question style queries, for example: "how much", "near me", "emergency", "same day", "broken", "leaking", "not working". Group these queries into 4 to 6 customer intents. Then list the ad groups in ChatGPT Ads campaign [ChatGPT Ads campaign] with chatgpt_ads_insights (scoped to the campaign, level ad_group, include_zero true), and read each one's context hints with chatgpt_ads_details. Page with hints_offset if a group has more hints than one call returns. Show me a table with these columns: intent, 3 example queries, combined impressions (Business Profile and Search Console listed separately), and whether an existing hint covers the intent (yes/no, naming the ad group). For each intent that is not covered and has meaningful volume: - draft context hints as short natural sentences, written in the language our customers search in, that describe the conversation in which our ad should appear, and say which ad group they belong in, - write one chat card (title and body) that answers the question directly, names the service area and asks for a call or a quote, with [landing page URL] as the destination. A chat card needs an image. Use [image URL] if I gave one, otherwise pick a fitting real job photo with gbp_list_photos and turn it into a public URL with upload_image (source_url). Do not promise prices or response times unless they already appear in the Business Profile data from gbp_location_details. Do not change bids or budgets. Add hints with hints_mode add, so existing hints stay. Show the update_chatgpt_ads_ad_group and create_chatgpt_ads_ad calls as a preview (confirm=false). New ads are created paused. Wait for my approval.

Group these queries into 4 to 6 customer intents. Then list the ad groups in ChatGPT Ads campaign [ChatGPT Ads campaign] with chatgpt_ads_insights (scoped to the campaign, level ad_group, include_zero true), and read each one's context hints with chatgpt_ads_details. Page with hints_offset if a group has more hints than one call returns.

Show me a table with these columns: intent, 3 example queries, combined impressions (Business Profile and Search Console listed separately), and whether an existing hint covers the intent (yes/no, naming the ad group).

For each intent that is not covered and has meaningful volume:
- draft context hints as short natural sentences, written in the language our customers search in, that describe the conversation in which our ad should appear, and say which ad group they belong in,
- write one chat card (title and body) that answers the question directly, names the service area and asks for a call or a quote, with [landing page URL] as the destination.

A chat card needs an image. Use [image URL] if I gave one, otherwise pick a fitting real job photo with gbp_list_photos and turn it into a public URL with upload_image (source_url).

Do not promise prices or response times unless they already appear in the Business Profile data from gbp_location_details.

Do not change bids or budgets. Add hints with hints_mode add, so existing hints stay. Show the update_chatgpt_ads_ad_group and create_chatgpt_ads_ad calls as a preview (confirm=false). New ads are created paused. Wait for my approval.

Open in Claude Open in ChatGPT Discuss in the forum

More prompts

Ad copy and creativeChanges after your approval

Find weak RSA headlines and descriptions and replace them in place

A per-asset performance table with clear weak-asset flags and two tested-angle replacements for each, applied only after approval.

When to use itWhen your responsive search ads have headlines or descriptions that drag down CTR or spend without converting.

Ad copy and creativeChanges after your approval

Check message match between RSAs and WordPress landing pages

Reads every enabled RSA in a campaign, matches each final URL to its WordPress page (Elementor included) and rates whether the page repeats the ad's keyword, offer and CTA. Proposes the smallest fix and applies nothing without approval.

When to use itWhen people click your ads but the WordPress landing page does not repeat what the ad promised, hurting conversions or Quality Score.

Check whether my ads and landing pages say the same thing. Google Ads account: [account]. WordPress site: [site].

Step 1: Ads
List the ad groups in campaign [campaign] and read every enabled RSA with its headlines, descriptions and final URL.

Step 2: Find each page
- Strip tracking parameters from each final URL and match it to a page or post on [site] by its slug.
- If a URL is not on [site], or matches more than one page, list it and ask me instead of guessing.

Step 3: Read each page
- First check how the page is built. On an Elementor page the visible headings and buttons live in the page design data, so read them there. On other pages, read the full content.
- Pull: the H1 heading, the first paragraph, the main offer or first button text, and the meta title from the SEO fields.
- You cannot see the rendered page. Treat the H1, the first paragraph and the first button in page order as the "first screen." Say so when the order is unclear, for example when a slider shortcode sits at the top.

Step 4: Rate each ad and page pair
Does the page repeat the ad's main keyword, offer and call to action on the first screen?

Show a table with these columns:
- ad group
- final URL
- page builder
- what the ad promises
- what the page says
- match (good, partial or missing)

Step 5: Fixes
For every partial or missing match, suggest one fix: either a headline edit in the ad or a heading edit on the page, whichever is the smaller change. Headlines must stay within 30 characters. Show the character count.

Preview the ad edits and the page edits separately:
- Ad edits: run each RSA change as a preview first, keeping every other headline, description and pin as it is.
- Page edits: the WordPress tools have no dry run, so show me the exact current text, the proposed text and the element or field you will change.

Do not apply anything until I confirm. After I approve:
- Apply the approved RSA edits. Note that edited ads go back through Google review.
- Apply the approved page edits, then purge the site cache (and regenerate Elementor CSS on Elementor pages).
- Confirm each change landed. Remind me that Elementor edits can be rolled back to the previous version and other edits are kept as WordPress revisions.

Ad copy and creativeChanges after your approval

Rewrite RSA headlines that caused disapprovals or limited serving

Lists disapproved and limited RSAs with Google's policy reason and evidence, rewrites only the assets Google flags, and edits the existing ad after a before and after preview. Flags issues that text changes cannot fix.

When to use itWhen some of your Google Ads are disapproved or running with limited serving and you need to fix the wording that Google flagged.

Some of my ads are disapproved or limited.

List every responsive search ad in [account] that is disapproved or "Eligible (limited)." For each one, show:
- campaign, ad group and ad ID
- the policy topic and its type
- the exact headline or description that triggered it, from Google's evidence
- the countries it is limited in, if Google reports that

Read each ad's full copy, including pins, so you can match the evidence to specific assets.

Explain each reason in plain language. Examples include trademark use, excessive capitalization, unproven claims like "best" or "No. 1," symbols or punctuation, and restricted categories such as health or finance.

Rewrite only the offending assets:
- Rewrite an asset only when Google's evidence points to it. If Google gives no detail for a topic, do not rewrite anything for that ad. Instead, list the assets you suspect and why, and ask me.
- Keep the same meaning but make it comply.
- Headlines can be up to 30 characters and descriptions up to 90. Show the character count for each.
- Edit the existing ad rather than creating a new one, so its history is kept. Leave every other asset and pin as it is.

Some problems cannot be fixed by rewriting text. Examples are a trademark that needs authorization, a missing certification, or an issue on the landing page such as a broken destination. For those, tell me what I need to do instead.

Show a before and after preview for each ad and wait for my approval before changing anything. Remind me that an edited ad goes back into review.

Ad copy and creativeChanges after your approval

Meta creative fatigue check with copy-only replacement creatives

A list of fatigued Meta ads by frequency, CTR and cost thresholds, with two replacement copy versions for each and a safe in-place swap after approval.

When to use itWhen your Meta ads have been running a long time and results are slipping while frequency climbs.

Run a creative fatigue check on Meta ad account [account]. Compare the last 28 days with the previous 28 days at ad level using spend, impressions, frequency, link CTR, CPM, results and cost per result.

Flag an ad as fatigued only when all three conditions hold:
- frequency is above 3.0
- link CTR is down at least 25% versus the prior period
- cost per result is up at least 20%

Skip ads that spent less than [minimum spend] in the last 28 days.

Deliver:
1. A table of fatigued ads with these columns: ad name, ad set, days running, frequency, CTR change, cost per result change.
2. For each fatigued ad, read the current creative (headline, primary text, description, CTA, destination link). Write 2 replacement versions that keep the same offer, image or video and link, and change the hook and the first line of the primary text.
3. For the versions I approve, prepare an in-place creative swap so each ad keeps its ID, learning and history.

Render a preview of every new creative first. Wait for my explicit confirmation before applying any change.