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Profound

AI search visibility platform that tracks how answer engines such as ChatGPT and Perplexity mention and cite a brand, and helps marketers optimise content for them.

Founded 2024 New York City, United States 51-200 employees Series D Updated Oct 2026

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Profound Pros & Cons

Key strengths and limitations to consider, drafted by an AI model from public sources

Strengths

  • Tracks visibility across major consumer answer engines
  • Combines citations, crawler activity, and page diagnostics
  • Uses real-user prompt data for demand discovery
  • Offers SSO, RBAC, SOC 2 Type II, and enterprise support
  • Provides agent workflows beyond read-only reporting

Limitations

  • Enterprise pricing and limits are not publicly transparent
  • Prompt tracking depth varies by plan
  • Traditional SEO capabilities are narrower than Semrush
  • Attribution depends on correctly configured analytics and logs
  • AI visibility metrics remain sensitive to model changes

Ideal For

Who benefits most from Profound, drafted by an AI model from public sources

Quick Analysis

Profound operates in the AI search visibility and answer engine optimization category, combining prompt monitoring, AI citation analysis, competitive benchmarking, crawler analytics, referral attribution, and content workflows. It is broader than a rank tracker: the product measures brand presence and source citations across ChatGPT, Gemini, Google AI Overviews, Perplexity, Claude, Copilot, Grok, and other answer engines, then connects findings to page-level diagnostics and agent-assisted execution.

Its strengths are broad answer-engine coverage, real-user prompt-volume data, enterprise controls, page-level citation and crawler analysis, and a relatively integrated path from measurement to content action. Compared with BrightEdge and Semrush, Profound is more specialized in generative-answer visibility and less mature as a full traditional SEO suite; compared with Otterly.AI and Peec AI, it offers deeper enterprise analytics, traffic attribution, technical crawler data, and content execution; compared with Scrunch AI, it provides a broader operational platform rather than primarily monitoring AI mentions.

Buyers should evaluate Profound when AI discovery is a material channel and they need cross-engine reporting, competitive intelligence, and workflows for large websites or multiple brands. Smaller teams seeking inexpensive prompt tracking may find Otterly.AI, Peec AI, or Scrunch AI easier to justify. Before buying, validate prompt methodology, answer-engine coverage by geography and language, data retention and export limits, attribution accuracy, crawler-log implementation, content-agent review controls, API availability, and the pricing impact of tracked prompts, domains, seats, and agent usage.

1

Enterprise SEO team benchmarking brand visibility across ChatGPT, Gemini, and Google AI Overviews

2

B2B SaaS content team finding prompts where competitors are cited but its pages are absent

3

Retail brand monitoring SKU visibility and descriptions in ChatGPT Shopping

4

Agency managing AI search reporting and optimization across multiple client domains

5

Marketing operations team attributing AI-referred sessions and conversions to pipeline

6

Content team diagnosing pages that AI crawlers cannot render or cite effectively

Custom Pricing

Pricing

Limited trial with 50 prompts per day for 7 days across ChatGPT, Gemini, and Google AI Overviews.

Documentation: Main Status
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