ChatAdsWatch vs Use Poach in 2026: ChatGPT ad catalog vs Facebook Ad Library capture

ChatAdsWatch is a research product for advertisements observed alongside captured ChatGPT prompts. The public library organizes a dated catalog by advertiser and industry and exposes limited previews, while the company’s methodology labels what was observed separately from what was inferred or estimated. That evidence discipline is its most useful feature. A researcher can ask who appeared on an observed prompt set without pretending that an appearance count equals campaign delivery.

The Pro plan is designed for a recurring market question, not a personal inspiration board. It unlocks full creative and copy, associated buyer prompts, source evidence, advanced filters, competitor views, saved market reports, and provider-backed analysis. It includes 1,000 monthly analysis credits, while viewing existing ads and saving existing reports does not use credits. At $49 per month plus applicable tax, the paid surface is sensible when the team will regularly investigate the same market, competitor, or buyer-intent area.

ChatAdsWatch cannot replace the public Facebook Ad Library, a social-ad database, or a paid account. Its underlying catalog is a captured sample, not a live census, and the reviewed product information does not provide geography, targeting, impressions, reach, spend, clicks, or performance. Use it for observed ChatGPT creative and the surrounding buyer prompt. Do not use it to claim that a brand ran a broad campaign, reached a market, or outperformed another advertiser.

Use Poach starts after a researcher has found something worth retaining in the public Facebook Ad Library. The Chrome extension captures the selected ad’s image or video to the user’s disk and adds a metadata screenshot card. According to the reviewed profile, that card can preserve the headline, primary text, CTA, advertiser, landing-page URL, dates, and user tags, with metadata embedded in the PNG for ExifTool reading. That is a practical record for a small reference library without handing it to another hosted swipe-file vendor.

The free tier performs the local capture. Pro costs a stated $67 lifetime and creates a 13-column database in the user’s own Notion workspace, adding each selected capture as a native row with its screenshot. This is a different value proposition from a recurring intelligence subscription: the user owns the files and Notion data, and the product says its licensing service does not receive captured ads, screenshots, Notion content, or Notion tokens. It fits a solo researcher or a small team that already works in Notion.

The tradeoff is equally clear. Use Poach is not a discovery database, competitor-monitoring service, collaborative hosted workspace, paid-media analytics product, or cross-network library. It depends on Facebook Ad Library for discovery and only covers the item a user selects. Its low fixed price is appealing for a curated Meta reference collection, but it cannot answer whether a competitor is running ads elsewhere or how any captured ad performed.