Lindy monitors competitor LinkedIn ad creatives
Understory’s hosts report building a Lindy agent during their interview that inspects competitor LinkedIn ads, analyses new creative themes and sends Slack notifications.
Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Monitor [competitor ad-library pages]. Identify new creatives, explain visible targeting themes and send [Slack channel] the source links and a concise comparison. Define newness against [previous snapshot] and flag uncertain interpretations.
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Sourced account- Source author
- Understory: Ali Yildirim and Alex Fine
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- Understory’s hosts report building a Lindy agent during their interview that inspects competitor LinkedIn ads, analyses new creative themes and sends Slack notifications.
- Human involvement
- The hosts built the agent during their interview. No approval gate, automatic campaign edits or independently measured alert accuracy is documented.
A linked account supports attribution. It does not mean we independently reproduced its result.
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How the agent did it
- Choose competitor LinkedIn ad-library pages as the research input.
- Use Lindy to retrieve and analyse new creatives.
- Identify the targeting themes visible in the ad material.
Understory's hosts describe building a competitor-ad monitoring agent during a conversation with Lindy Drope, Lindy's head of go-to-market. Their own demonstrated workflow uses LinkedIn's ad library as the input and Slack as the notification channel. That gives the account a specific research-to-action chain, beyond a general description of what the platform might support.
The agent scrapes competitor ads, analyses new creatives and identifies targeting themes before sending notifications. The useful output is an alert about creative changes that a marketing team can examine. It is not evidence that the agent changed the hosts' campaigns or selected an advertising budget.
The hosts contrast the build with an older workflow that took them much longer to set up. That timing is a personal report, without a controlled comparison. The source also describes customers and Lindy's internal sales operations, but those separate anecdotes do not establish this monitor's performance. No competitor list, scrape interval, deduplication implementation or measured alert accuracy is provided. A copyable brief therefore names the competitors, defines what should count as a new creative and states the required Slack output; those added specifications belong to the suggested prompt, not to verified implementation details from the episode.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Blog · Understory: Ali Yildirim and Alex Fine
Frequently asked questions
What does the agent monitor?
The hosts’ example monitors new competitor creatives in LinkedIn’s ad library and analyses their targeting themes.
Does it modify ad campaigns?
The described output is a Slack notification. The source does not establish campaign changes or budget decisions.
Is the setup-time comparison a benchmark?
No. The hosts compare their personal experience of an older build with the episode’s build; it is not a controlled measurement.
More details
Remaining steps
- Send the resulting notifications to Slack for marketing review.
About this account
Lindy retrieves competitor creative material, interprets targeting themes and sends a tool-based Slack notification rather than stopping at a chat answer.
Firsthand account by Understory: Ali Yildirim and Alex Fine; original publication date verified against Primary podcast page January 23, 2026. Outcomes are the author’s reports, not independently reproduced. Suggested prompt written by Agents In Use; not the author’s original prompt.
Credit: Understory: Ali Yildirim and Alex Fine
Source published
Added to Agents In Use
Source checked
Tools and topics
Lindy · LinkedIn ad library · Slack
Competitor creative · Ad monitoring · Slack alerts
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.