# For AI agents and crawlers
This page is a workflow from the Workflow Automation Library by Roadway: Watch competitor ad libraries and spin up counter-positioning copy.
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/watch-competitor-ad-libraries-and-spin-up-counter-positioning-copy
Page: https://www.roadwayai.com/workflows/watch-competitor-ad-libraries-and-spin-up-counter-positioning-copy
Library index: https://www.roadwayai.com/automation-library
---
name: watch-competitor-ad-libraries-and-spin-up-counter-positioning-copy
description: >-
Monitors competitors in the ad libraries (Google Ads Transparency Center, Meta, LinkedIn, X) and through web search, and drafts counter-positioning copy for every channel when their messaging shifts.
---
# Watch competitor ad libraries and spin up counter-positioning copy
Source: https://www.roadwayai.com/workflows/watch-competitor-ad-libraries-and-spin-up-counter-positioning-copy
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
Monitors competitors in the ad libraries (Google Ads Transparency Center, Meta, LinkedIn, X) and through web search, and drafts counter-positioning copy for every channel when their messaging shifts.
Monitors competitors in the ad libraries (Google Ads Transparency Center, Meta, LinkedIn, X) and through web search, and drafts counter-positioning copy for every channel when their messaging shifts. It keeps watching for this trigger, so you can respond within hours instead of at the next review. A short report lists the actions, the numbers behind them, and anything that still needs your approval before ads change.
## 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
approved_claims, auto_approve, competitor_ad_insights, competitors, funnel_metrics, goal_metric, max_change_pct, monthly_budget_cap, proof_points, task_history
## Prompt
Watch competitor ad libraries and spin up counter-positioning copy
Pull the current ads for [set this to your own competitors] from the Google Ads Transparency Center, Meta Ad Library and LinkedIn Ad Library, compare them with the last snapshot in competitor ad snapshots, and decide for each competitor message:
1. Counter now
2. Draft and hold
3. Note only
Context and defaults (use these; don't ask):
- Competitor ad snapshots: [set this to your own competitor ad insights]. If none are stored, pull them from the ad libraries or skip.
- The proof points: [set this to your own proof points]. If not set, use only approved claims.
- The approved claims: [set this to your own approved claims]. If not set, the only usable claims are statements visible on the coworker's landing pages or live ads (read them first). Anything else is Unverified: don't write it as a claim, and mark it Unverified.
- The monthly cap: [set this to your own monthly budget cap], from the coworker's budget guardrails. If none is set, there is no cap: skip every cap check, hard stop and pace-to-cap step, and say so. Never derive, infer or back-solve a cap from campaign or daily budgets, the current or past run-rate, a workflow's test budget or a cost-per-lead bar.
- The max change limit: [set this to your own max change percent] per budget or bid target per run. If not set, 20%. It does not apply to experiment traffic splits.
- Auto-approve: [set this to your own auto approve]. If not set, it's off: list every change as a proposal for approval.
Rules:
- Focus on shifts, not single ads: a new primary claim, a new pricing or offer message, a direct attack on us, or a new audience or vertical. Long-running ads (60+ days) are probably the competitor's winners, so weight them more.
- Counter now when a competitor claim targets a weakness we have fixed, or a strength we can beat with proof. Write counter copy that states our differentiator with evidence from the proof points, without naming the competitor where the platform or the approved claims forbids it.
- Per channel: on Google Search, add RSA headlines to competitor and category campaigns; on Meta, a new concept with 9:16 and 4:5 versions; on LinkedIn, a single image or document ad plus a TLA from a team member addressing the claim.
- Draft and hold for messages that only just appeared (under 7 days). Note only for changes with no impact on our buyers.
- Read each channel's library: Google Ads Transparency Center (Search, YouTube, Display), Meta Ad Library, LinkedIn Ad Library and the X Ads Repository. For Reddit, Microsoft and ChatGPT, where no full public library exists, use the web search tool and competitors' landing pages to read their current positioning.
- Ship the counter copy natively on each channel: RSA headlines on Search, card titles and context hints on ChatGPT, first-3-second hooks on YouTube, and thread-native copy on Reddit and X.
- Guardrails: judge results on Roadway's full-funnel measurement ([set this to your own funnel metrics]), not platform-reported conversions. Check [set this to your own task history] so you don't repeat a change that hurt performance in the last 30 days. Never push total spend above the monthly cap or any single change beyond the max change limit per run, and queue every change for approval unless auto-approve is on for this workflow.
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:
Competitor ad library report
Summary:
The competitor messaging shifts, the counter copy drafted per channel, and what was launched.
Counter now:
- [competitor message] - [reason]
Draft and hold:
- [competitor message] - [reason]
Note only:
- [competitor message] - [reason]
Counter copy:
- [channel] - [copy] - [proof used]
## Run it in Roadway
https://www.roadwayai.com/workflows/watch-competitor-ad-libraries-and-spin-up-counter-positioning-copy
Watch competitor ad libraries and spin up counter-positioning copy
Watch competitor ad libraries and spin up counter-positioning copy
Monitors competitors in the ad libraries (Google Ads Transparency Center, Meta, LinkedIn, X) and through web search, and drafts counter-positioning copy for every channel when their messaging shifts.
Monitors competitors in the ad libraries (Google Ads Transparency Center, Meta, LinkedIn, X) and through web search, and drafts counter-positioning copy for every channel when their messaging shifts. It keeps watching for this trigger, so you can respond within hours instead of at the next review. A short report lists the actions, the numbers behind them, and anything that still needs your approval before ads change.
