Gauge vs Use Poach in 2026: ChatGPT ad intelligence vs local Meta creative capture

Gauge Chat is designed for a team working at the intersection of AI search, content, and paid acquisition. It runs the prompts a workspace tracks and records brand mentions, citations, competitors, and sponsored placements it observes in ChatGPT answers. The ChatGPT Ads view can show a competitor advertiser, observed copy, appearance count, and the prompts associated with a placement. This gives a team a reasoned starting point for a buyer question: was a sponsor present, did the brand appear organically, and is a paid or content response worth pursuing? It does not expose a competitor’s private targeting, bid, spend, click, or conversion data.

A business can connect its own OpenAI Ads key to see campaign and ad-group budget, spend, impressions, clicks, CTR, and CPC. Gauge also documents Meta and Google Ads connections, then adds prompt and citation analysis, an Action Center, and a content workflow. This is much wider than a creative archive. It helps a growth team relate an observed placement to a real action, but it does not aim to put selected Facebook Ad Library examples into local storage or an owned note-taking workspace. Its evidence is active prompt monitoring and connected first-party accounts, not a manually curated swipe file.

Gauge Chat Growth is listed at $599 per month, including 600 daily prompts, 54,000 tracked answers monthly, 18 publish-ready articles, and three seats. The pricing page and billing documentation differ on some platform and seat limits, so a buyer should verify the current entitlement. Gauge Agents is a separate credit-based subscription from $100 a month. Gauge is a poor value if the only goal is to keep a few Meta ads for a creative brief, but it earns its place when prompt intelligence and AI-search action are recurring work.

Use Poach solves a narrower and useful creative-research job. A researcher finds an ad in the public Facebook Ad Library, triggers a capture, and saves the selected image or video plus a screenshot card to local disk. The product says the card includes the visible headline, primary text, CTA, advertiser, landing URL, dates, and user-applied tags, with metadata embedded in the PNG for reading with ExifTool. A saved item remains a practical reference even when the researcher moves it away from a vendor dashboard. Discovery happens first in Facebook Ad Library: Use Poach does not publish its own archive, advertiser search, saved-search alerts, or automatic watchlist.

The paid product is a storage and organisation upgrade, not an intelligence plan. For a one-time $67 license, Pro creates a 13-column database in the customer’s Notion workspace and sends each capture there as a native row with its screenshot. The published workflow supports niche, awareness-stage, and lead-type tags and says Notion records are deduplicated. The privacy policy says the Notion token remains in Chrome extension storage and is sent only to Notion’s API for user-triggered actions. That local and customer-owned approach is appealing for a solo strategist or lean team that already uses Notion for creative briefing.

Use Poach Free is $0 and already covers selected media, metadata screenshot cards, and tags. Pro has no recurring subscription. What the low price does not buy is monitoring, cross-network discovery, spend estimation, ad generation, account optimisation, reporting, or an API. It is best treated as a companion to manual Meta research, not as an ad-intelligence platform. For a team whose actual problem is saving a handful of good examples, that restraint is a strength and makes Gauge unnecessary.