TEARDOWN 43 · REVIEWED 2026-08-20
Goodie AI
Goodie is an AI-search-visibility (AEO) platform that tracks how a brand is mentioned and cited across ChatGPT, Perplexity, Gemini, and other AI platforms using a fixed list of prompts, and adds prompt research, AI-generated content recommendations, and revenue-attribution reporting on top.
Goodie runs a fixed list of prompts (100 to 500+, depending on plan) against ChatGPT, Perplexity, Gemini, and up to 11 AI platforms and parses each response for brand mentions, citations, and sentiment — the same query-and-parse pattern used by every AI-visibility tracker in this category, and the vendor doesn't disclose whether responses are collected via official APIs or automated browsing.
What you lose building it yourself
- ✕One dashboard tracking up to 11 AI platforms instead of scripting and maintaining each one
- ✕Prompt research surfacing real customer queries instead of guessing what to track
- ✕Revenue-attribution modeling connecting visibility changes to actual business outcomes
- ✕Agentic Commerce Suite tracking product visibility inside shopping assistants like Amazon Rufus
Why people still pay
A one- or two-platform script is a weekend build, but Goodie runs the same check daily across up to 11 platforms with prompt research, content recommendations, and revenue attribution tied to a CRM/analytics stack — keeping that much wired together as each platform's interface changes on its own schedule is the ongoing work being paid for.
PROMPT-TRACKING WEEKEND BUILD
An AI coding tool can call a hosted AI model's API (or drive an automated browser for platforms without one) on a schedule with a fixed prompt list, then check each response for a brand mention. Matching Goodie's multi-platform tracking, prompt research, content recommendations, and revenue-attribution layers is a much bigger, ongoing build.
StackA hosted AI model's API for the platforms that offer one, an automated browser tool (e.g. Playwright) for the ones that don't · a second hosted AI model call to check each response for a brand mention and sentiment · a spreadsheet or small database to log results by date.
Build a script that calls a hosted AI model's chat API with a fixed list of 10 prompts relevant to one brand once a day, and separately uses an automated browser tool to open Google Search with AI Overviews for the same 10 prompts and save the rendered answer text. Send each saved response to a hosted AI model asking whether the brand is mentioned, to quote the sentence if so, and to rate the sentiment as positive, neutral, or negative. Log the date, platform, mention, and sentiment to a CSV file so results can be compared over time.
Similar tools
Free alternative: geo-optimizer-skill (open-source AEO/GEO toolkit) — audits and tracks whether ChatGPT, Perplexity, Gemini, and Google AI Overviews cite a site, for free via command line; it doesn't include Goodie's prompt research, content generation, Agentic Commerce Suite, or revenue-attribution dashboard.
QUESTIONS
Does Goodie disclose how it collects responses from ChatGPT, Perplexity, and other AI platforms?
No — its product pages describe what's tracked but not whether responses come from official APIs, automated browsing, or a mix, and job postings mention working with "crawler and agent logs" without further detail.
Is there a free plan?
No standing free plan — pricing starts at the $399/mo Explorer tier, with a 7-day free trial and no credit card required to start.
Does Goodie do anything the other AI-visibility trackers on this site don't?
Its Agentic Commerce Suite tracks product visibility inside shopping-focused AI assistants like Amazon Rufus, aimed at retail and e-commerce brands — a narrower use case than the general brand-mention tracking most competitors focus on, but built on the same query-and-parse mechanism underneath.