Comparison

Surfaced vs Goodie

Goodie raised $24M to build a full-stack AEO platform. Surfaced gives you 13-model monitoring for free. Here's the comparison.

Goodie (HiGoodie) is a VC-backed ($24M from Kleiner Perkins) full-stack AEO platform with agentic optimization features and eCommerce focus. They offer monitoring, content creation, and automated optimization in one platform. Surfaced takes a focused approach — the widest AI model coverage (13 models), a 14-day free trial

Feature
Surfaced
Goodie
AI models tracked
13 models
10 models
14-day free trial
Starting price
$29/mo (14-day free trial)
Custom pricing
Content recommendations
AEO Score (0-100)
Automated content optimization
eCommerce focus (Rufus/Amazon)
ChatGPT tracking
Perplexity tracking
Gemini tracking
Claude tracking
Grok tracking
Llama/Meta AI tracking
Mistral tracking
DeepSeek tracking
Copilot tracking
Competitor benchmarking
Weekly executive reports
Setup time
Under 2 minutes
Sales call required
Transparent pricing

Why choose Surfaced

  • 13 AI models — 3 more than Goodie
  • 14-day free trial
  • Transparent pricing on the website
  • AEO Score — single visibility metric (0-100)
  • Setup in under 2 minutes
  • Purpose-built for monitoring, not locked into one optimization workflow

Where Goodie shines

  • Automated content optimization — AI writes and publishes for you
  • eCommerce focus — Amazon Rufus and shopping-specific tracking
  • Full-stack platform — monitoring + creation + optimization in one tool
  • $24M in funding from Kleiner Perkins — well-resourced for R&D
  • Agentic optimization layer — AI acts on insights automatically

The Verdict

Goodie is built for teams that want AI to automatically optimize their content — it's a full-stack platform with agentic features. If you need automated content creation and eCommerce-specific AI tracking (Amazon Rufus), Goodie has that. Surfaced is for brands that want the clearest picture of their AI visibility across the most models, with actionable recommendations they implement themselves. Different philosophies — monitoring-first vs automation-first.

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