Goodie AI

The only tracker watching Amazon Rufus and Walmart Sparky

AI Visibility / LLM Mention Tracking AI-Powered Mid-Market AI Visibility Self-Serve

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Entry price

$399/month (Explorer); 20% off with yearly billing

Typical annual

$4,788/year at Explorer, or $3,830 billed yearly. Pro and Enterprise unpriced.

Free trial

7 days

Contract

No — monthly available; yearly saves 20%

Partially verified — some figures estimated Checked July 30, 2026

See the vendor's pricing page

About Goodie AI

Goodie AI covers more AI surfaces than anything else in this category — up to eleven — and the ones that make it worth a look are not the obvious ones. Alongside ChatGPT, Gemini, Claude, Copilot, Perplexity, Meta, DeepSeek and Grok, it tracks Rufus and Sparky: Amazon's and Walmart's shopping assistants. Nobody else here does. If you sell consumer products and your buyers increasingly ask a retailer's assistant what to get rather than a search engine, that is the whole ballgame, and Goodie is currently the only way to measure it. Now the awkward part. The $399 Explorer tier tracks three surfaces — ChatGPT, AI Overviews and Perplexity — which is fewer than Scrunch gives you for $250 and the same three Otterly covers for $29. Rufus and Sparky start at Pro, and Pro is quote-only, as is Enterprise. So the reason to buy Goodie sits behind a sales call with no published price. Three separate meters run at once: prompts, AI responses analysed, and optimisation actions — the last capped at just 10 a month on Explorer. Seven-day free trial, 20% off annual.

Full specification

Pricing & Model

Entry price: $399/month (Explorer); 20% off with yearly billing
Median annual cost: $4,788/year at Explorer, or $3,830 billed yearly. Pro and Enterprise unpriced.
Pricing model: Tiered by surfaces, prompts, responses, optimisation actions and seats
Free trial: 7 days
Contract required: No — monthly available; yearly saves 20%
Overage pricing: Not published

Searches / Topics / Queries

What they call it: Prompts / AI responses / optimisation actions
Entry tier limit: Explorer: 3 platforms, 100 prompts, 3,000 responses, 10 actions, 3 seats
Mid tier limit: Pro: 7 platforms incl. Rufus and Sparky, 250 prompts, 7,500 responses, 30 actions, 5 seats
Enterprise limit: Enterprise: 11 platforms, 500+ prompts, 15,000+ responses, 60+ actions, unlimited seats
Boolean support: Not applicable — prompt-based, not Boolean query-based

Mentions / Results

Counting method: Three separate meters: prompts, responses analysed, optimisation actions
Entry tier: 3,000 AI responses/month
Mid tier: 7,500 AI responses/month
Enterprise tier: 15,000+ AI responses/month
Historical lookback: Not published

Users & Seats

Entry tier users: 3 seats
Mid tier users: 5 seats
Enterprise users: Unlimited
Extra seat cost: Not published

Key Features

Sentiment analysis: Yes — brand sentiment within AI answers
Emotion detection: Not documented publicly
Intent classification: Not documented publicly
Entity extraction: Yes — brand and competitor entities within answers
Image recognition: Not applicable to this category
Webhooks: Not documented publicly
API access: Not documented publicly
Publishing tools: No — optimisation actions instead, and they are metered
News / media coverage: No — this tracks AI answers, not news or social
Language support: Not published
Interface languages: EN

AI Visibility Tracking

AI surfaces tracked: 3 on Explorer; 7 on Pro (+Gemini, Copilot, Rufus, Sparky); 11 on Enterprise (+Claude, AI Mode, Meta, DeepSeek, Grok)
Prompts tracked: 100 / 250 / 500+ prompts; 3,000 / 7,500 / 15,000+ responses analysed per month
Citation analytics: Yes — source citations within AI answers
Competitor share of voice: Yes — competitive position within answers
Content recommendations: Metered optimisation actions — only 10/month on Explorer, 30 on Pro, 60+ on Enterprise
AI crawler analytics: Not documented publicly

Best For

Primary audience: Consumer brands and retailers whose customers ask Amazon Rufus or Walmart Sparky what to buy — the only reason to choose this over cheaper trackers, and the one that requires a sales conversation to price.
Regional focus: Global, with US retail-media assistant coverage