Comparison

Surfaced vs Profound

Profound is enterprise-grade. Surfaced gives you 13-model coverage at a fraction of the cost. Here's how they compare.

Profound is the enterprise leader in AI visibility monitoring — trusted by large brands with SOC 2 compliance, GA4 attribution, and crawler log analysis. But enterprise pricing means most brands can't access it. Surfaced covers 13 AI models (vs Profound's 10+), starts free, and focuses on actionable content recommendations — not just dashboards.

Feature
Surfaced
Profound
AI models tracked
13 models
10+ models
14-day free trial
Starting price
$29/mo (14-day free trial)
~$99/mo (enterprise custom)
Content recommendations
Limited
AEO Score (0-100)
GA4 attribution
SOC 2 compliance
AI crawler log analysis
Basic audit
ChatGPT tracking
Perplexity tracking
Gemini tracking
Claude tracking
Grok tracking
Llama/Meta AI tracking
Mistral tracking
DeepSeek tracking
Competitor benchmarking
Weekly executive reports
Email alerts
API access
Agency plan
White-label reports
Agency plan
Setup time
Under 2 minutes
Sales call required

Why choose Surfaced

  • 13 AI models — widest coverage in the category
  • 14-day free trial
  • Content blueprints — specific recommendations on what to publish
  • AEO Score — single metric for executive reporting
  • Setup in under 2 minutes — no onboarding calls needed
  • Transparent pricing on the website

Where Profound shines

  • SOC 2 compliance for enterprise security requirements
  • GA4 attribution — connect AI visibility to revenue
  • AI crawler log analysis — deep technical insights
  • Established enterprise customer base and case studies
  • Dedicated account management and support

The Verdict

Profound is the right choice if you're an enterprise team that needs SOC 2 compliance, GA4 attribution, and custom integrations — and has the budget for it. Surfaced is for everyone else: brands and agencies that want the widest AI model coverage, actionable content recommendations, and a free starting point. Most brands don't need enterprise features — they need to know what AI says about them and how to fix it.

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