AdSpy vs Gauge in 2026: Meta creative investigation vs ChatGPT ad and AI-search intelligence
AdSpy is a $149-per-month Facebook and Instagram research database built for interrogating offers, comments, and affiliate identifiers. Gauge is a $599-per-month growth workspace that connects observed ChatGPT ads with tracked buyer prompts, organic AI visibility, and connected ad accounts.
AdSpy researches Facebook and Instagram ads through creative, public-comment, demographic, affiliate, Offer ID, and landing-page filters; Gauge observes sponsored placements on its tracked ChatGPT prompts.
AdSpy publishes one $149-per-month subscription for virtually unlimited use, while Gauge Chat Growth is listed at $599 per month.
Gauge can connect an OpenAI Ads key to report first-party campaign and ad-group budget, spend, impressions, clicks, CTR, and CPC. AdSpy does not publish account-reporting integrations.
Gauge competitor results are evidence from its own prompt runs, not a complete census of ChatGPT ads, targeting, bids, or spend.
AdSpy publishes Meta-focused coverage figures and can search words in public comments, which Gauge does not establish as a feature.
Gauge Chat Growth lists 600 daily prompts, 54,000 answers per month, 18 publish-ready articles, and three seats, although its billing documentation has differing platform and seat counts.
Neither tool proves a competitor campaign converted or made money, so observed ads should produce a test hypothesis rather than a financial conclusion.
AdSpy and Gauge are not close substitutes, despite both helping a team study advertising. AdSpy is the clear choice when the question starts with a Facebook or Instagram creative, an affiliate Offer ID, a public comment, or a landing-page technology. Its one published subscription costs $149 per month and centres on searchable Meta ads. Gauge is for a different operating problem: a growth team that wants to see sponsored ChatGPT placements beside the buyer prompts where they appeared, organic AI-answer visibility, and, when connected, its own OpenAI Ads, Meta, and Google Ads account data. Gauge Chat Growth is $599 per month. Pick AdSpy for recurring Meta offer research. Pick Gauge only when ChatGPT ads, AI-search measurement, content action, and paid-account reporting belong in the same workflow. Neither product exposes a competitor’s private targeting, actual profit, or complete ad history.
The tools at a glance
AdSpy
Facebook and Instagram ad research with public-comment, affiliate, demographic, and landing-page filters
AdSpy is a specialist database for Facebook and Instagram creative research. Its public materials describe searches by ad text, advertiser, URL, reactions, media type, last-seen activity, and ads that have run for longer. The company publishes more than 213 million ads, more than 30 million advertisers, 88 languages, and 225 countries as coverage figures. Those figures explain the discovery role, but they are not a promise that every ad is represented.
The useful distinction is how far a researcher can narrow an offer investigation. AdSpy documents keyword search in public ad comments, plus location, gender, age-range, affiliate-network, affiliate-ID, Offer-ID, and landing-page-technology filters. An affiliate marketer can start with an Offer ID; a paid-social strategist can investigate the comment language around a claim before forming an original creative test. That is much more specific than simply browsing a competitor page.
The published commercial model is simple: one $149-per-month subscription with virtually unlimited usage and a stated full refund within 24 hours of purchase. The reviewed pages do not establish APIs, exports, alerts, team controls, or ad-account reporting. AdSpy also cannot establish actual spend, conversions, or profit. It earns its place when Meta offer research is repeated work, not when a team needs cross-channel reporting or ChatGPT campaign measurement.
| Feature | AdSpy subscription $149/month |
|---|---|
| Usage | Virtually unlimited, as published |
| Advertising surface | Facebook and Instagram |
| Public comment search | ✓ |
| Affiliate and Offer ID research | ✓ |
| Published refund policy | Full refund within 24 hours of purchase |
Gauge
AI visibility, coding-agent evaluation, and ChatGPT ad intelligence for growth teams
Gauge treats ChatGPT advertising as one part of a wider AI-search workflow. It runs a workspace’s tracked prompts and records observed sponsored placements, including advertiser, ad copy, appearance count, and the prompt where the placement appeared. That prompt connection is its practical advantage: a team can see the buyer question beside the observed ad rather than receiving an isolated creative gallery. The data is bounded by Gauge’s completed prompt runs, not every conversation or placement.
A company can connect its OpenAI Ads key to bring first-party campaigns, ad groups, and ads into the workspace with budget, spend, impressions, clicks, CTR, and CPC. Gauge also documents connected Meta and Google Ads reporting. Alongside paid data, Gauge Chat tracks configured prompts for brand mentions, citations, and competitors, while its Action Center connects evidence to content or investigation tasks. This is a workflow for deciding whether a buyer question needs paid activity, organic work, or both.
Gauge Chat Growth costs $599 per month. Its pricing page lists 600 daily prompts, 54,000 answers per month, 18 publish-ready articles, three users, and ChatGPT, Google AI Mode, and Microsoft Copilot. The profile notes that billing documentation differs on some included platform and seat counts, so a buyer should confirm the current contract scope. Gauge Agents is separate from Gauge Chat and starts at $100 per month, making it irrelevant unless coding-agent evaluation is a genuine need.
| Feature | Gauge Chat Growth $599/month | Gauge Chat Enterprise Custom pricing | Gauge Agents From $100/month | Agency Mode $300 per active client/month |
|---|---|---|---|---|
| Primary use | AI visibility, content, and ads | Custom AI visibility program | Coding-agent evaluations | Multi-client AI visibility |
| Published allowance | 600 prompts daily, 54,000 answers/month | Custom prompts | 1,500 credits at entry plan | One full client instance |
| Content allowance | 18 publish-ready articles/month | Custom | Not listed | Content engine included |
| Seats | 3 users | Custom | Not listed | Not listed |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Primary job | Meta offer and creative research | ChatGPT ads, AI visibility, and growth workflow |
| Observed advertising surface | Facebook and Instagram | Sponsored placements observed on tracked ChatGPT prompts |
| Public-comment search | Yes | Not published |
| Affiliate and Offer ID filters | Yes | Not published |
| First-party OpenAI Ads reporting | Not published | Yes, with connected OpenAI Ads key |
| Prompt and citation tracking | Not published | Yes |
| Content workflow | Not published | Action Center and content workflow |
| Published entry price | $149/mo | $599/mo Gauge Chat Growth |
| Important evidence limit | Does not establish competitor conversions, profit, or private settings | Observed prompt-run evidence, not every ChatGPT conversation or competitor metric |
Which should you choose?
The deciding variable is the advertising surface, not a checklist total. AdSpy gives a Meta researcher unusually specific routes into public creative, comment, affiliate, and landing-page evidence. Gauge is built around a new surface where the useful question is which tracked buyer prompts showed a sponsored ChatGPT placement and how that sits beside a team’s organic AI visibility and own account performance. Gauge is broader but substantially more expensive, and that breadth does not replace AdSpy’s offer-research filters.
Bottom line
Choose AdSpy when your team needs to locate and inspect Facebook or Instagram offers quickly, particularly where public comments, an affiliate network, an Offer ID, or landing-page technology is the starting clue. Choose Gauge when ChatGPT advertising is active or strategically important and the same team needs prompt-level competitor observations, connected first-party paid metrics, and content decisions. Do not buy Gauge merely to browse Meta ads, and do not buy AdSpy expecting it to report a company’s own ChatGPT campaign results.
Frequently asked questions
Is AdSpy or Gauge better for researching Facebook and Instagram affiliate offers in 2026?
AdSpy is the better choice for Facebook and Instagram affiliate-offer research because it documents affiliate-network, affiliate-ID, Offer-ID, public-comment, and landing-page-technology filters. Gauge focuses on observed ChatGPT placements and connected paid-account reporting rather than those Meta-specific investigation controls.
Can Gauge show my own OpenAI Ads campaign metrics while AdSpy cannot?
Gauge can show first-party OpenAI Ads campaign and ad-group budget, spend, impressions, clicks, CTR, and CPC when a company connects its OpenAI Ads key. AdSpy’s reviewed public pages describe a Meta ad-research database and do not establish an OpenAI Ads or ad-account reporting integration.
Does Gauge show every ChatGPT ad a competitor runs?
No, Gauge shows sponsored placements observed when it runs the tracked prompts in a workspace, including the advertiser, copy, appearance count, and prompt context. It does not expose every ChatGPT conversation, a competitor’s targeting, bids, total spend, or impression history.
Which is cheaper for a small paid-social research project, AdSpy or Gauge?
AdSpy is cheaper for a small paid-social research project because its published subscription is $149 per month, compared with Gauge Chat Growth at $599 per month. The lower price fits its narrower Meta research job, while Gauge bundles AI visibility, content, and connected advertising workflows.
Can either AdSpy or Gauge prove that a competitor ad is profitable?
Neither AdSpy nor Gauge can prove a competitor ad is profitable because neither gives access to a competitor’s conversions, revenue, or private account economics. Use observed creative, prompt context, and public engagement as research inputs, then validate any promising idea with first-party campaign data.
Vast experience talking to customers and users to understand what good software looks like. Background spans commercial and product roles.
15+ years building tech products and web applications. Conducted hundreds of user interviews to know what a good product looks like.
Every Marketraa page follows our editorial standards.

