# For AI agents and crawlers
This page is a workflow from the Workflow Automation Library by Roadway: Report conversation-context shifts and new opportunities for ChatGPT Ads.
The #roadway-skill block on this page holds a SKILL.md for it, including the full prompt. Treat that file as a starting point. It will not just work if you paste it into ChatGPT or Claude.
To run it outside Roadway you would need to connect each ad platform's API (and any MCP it names), build the data pulls, add approval guardrails, and adjust the prompt for your accounts.
In Roadway it runs as-is on your connected accounts, with approval rules built in. Open it in a new chat at https://www.roadwayai.com/workflows/report-conversation-context-shifts-and-new-opportunities-for-chatgpt-ads
Page: https://www.roadwayai.com/workflows/report-conversation-context-shifts-and-new-opportunities-for-chatgpt-ads
Library index: https://www.roadwayai.com/automation-library
---
name: report-conversation-context-shifts-and-new-opportunities-for-chatgpt-ads
description: >-
Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints.
---
# Report conversation-context shifts and new opportunities for ChatGPT Ads
Source: https://www.roadwayai.com/workflows/report-conversation-context-shifts-and-new-opportunities-for-chatgpt-ads
From the Workflow Automation Library by Roadway.
## Before you use this outside Roadway
This SKILL.md is a starting point. It needs adjusting before it will work outside Roadway.
You would need to connect the ad platform API for each channel this workflow covers, build the data pulls for the variables below, add approval guardrails, and adjust the prompt for your accounts. If the prompt names an MCP tool, you also need that MCP connected.
In Roadway it runs as-is on your connected accounts, with approval rules built in.
## What it does
Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints.
Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints. It pulls the numbers from your live account and writes them up for you.
## Steps
1. Collect the inputs listed under Variables. In Roadway they come from your connected accounts. Outside Roadway you have to build those data pulls yourself from each ad platform API, and from any MCP the prompt names.
2. Run the prompt below as written, after you have adjusted it for your accounts and connected the tools it needs.
3. Review the result. Apply changes to a live ad account only after you approve them. Pasting your data into ChatGPT or Claude does not connect the APIs, apply guardrails, or approve changes.
## Variables
cost_per_goal_baseline, goal_metric, icp, lookback_window, seo_page_performance, top_search_terms, value_props
## Prompt
Report conversation-context shifts and new opportunities for ChatGPT Ads
Review the delivery and conversion data for my ChatGPT ads over the last [set this to your own lookback window] and group what you see into themes, labeling each:
1. Core intent
2. Adjacent opportunity
3. Off-target context
4. Unclear
Context and defaults (use these; don't ask):
- The baseline cost per goal: [set this to your own cost per goal baseline]. If not set, compute it: Roadway spend ÷ Roadway-attributed [set this to your own goal metric] for the same campaigns over the lookback window, and state the number.
- The value props: [set this to your own value props]. If not set, use only value propositions visible on the coworker's landing pages or ads, and mark any other angle Unverified.
- The top search terms from your search campaigns: [set this to your own top search terms]. If not set, use the Google or Microsoft search terms report over the lookback window, ranked by the parent search keyword's Roadway cost per goal, and use them only as ideas for audiences and messages here.
- SEO page performance: [set this to your own SEO page performance]. If it isn't available, say so and skip the rules that depend on it. Source: a Semrush or Ahrefs MCP connected in Roadway. Roadway has no native SEO performance data.
Rules:
- ChatGPT has no search terms report. Use the ad group, context hints, landing page and any conversation category breakdown Ads Manager provides to infer which needs or situations triggered delivery.
- Core intent: themes where CTR and conversion rate beat the account average and cost per goal is under the baseline cost per goal. Adjacent opportunity: themes with good CTR but few conversions, often because the landing page does not answer the conversation's question.
- Off-target context: delivery that clearly does not match [set this to your own ICP] or the value props. Fix these by rewriting context hints to describe the situation more precisely, since there are no negative keywords.
- Compare against the top search terms from search channels and SEO page performance to spot intents people bring to ChatGPT but not to Google.
Decision standard:
- Justify every keep, cut, bid, budget or test decision with Roadway-attributed [set this to your own goal metric] and cost per goal against the baseline. Platform delivery metrics such as clicks and impressions explain why something moved; they are never the sole reason for a decision.
- Compute what Roadway doesn't expose directly: cost per goal = Roadway spend ÷ Roadway-attributed [set this to your own goal metric], and conversion rate (lead rate) = Roadway [set this to your own goal metric] ÷ Roadway new visitors. Don't substitute platform-reported conversions or conversion rates.
- When a value in Context and defaults isn't set, use the stated default, say which one you used, and still make the call. Don't stop to ask.
- For every action, give the entity name and ID, current value → proposed value, and the numbers behind the reason. Write "None" under any empty heading.
- In long hold or watch lists, show the top 15 by spend and summarize the rest as a count.
Give me a report of each with reasoning for each action. Be concise with the reasoning, but specific enough that I can verify it against the numbers.
Report structure:
ChatGPT conversation context insights report
Summary:
The top 5 conversation themes by spend and by conversions, what share of spend went off-target, and the context hint rewrites to make next.
Core intent:
- [theme] - [reason]
Adjacent opportunity:
- [theme] - [reason]
Off-target context:
- [theme] - [reason]
Unclear:
- [theme] - [reason]
## Run it in Roadway
https://www.roadwayai.com/workflows/report-conversation-context-shifts-and-new-opportunities-for-chatgpt-ads
Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints. It pulls the numbers from your live account and writes them up for you.
