Profound
Worth-Joining Index · Scorecard
v2.1 ALPHA · 2026-08Career Score
61/100
Coverage
71%
Verified
11%
Stage cohort
Early
Vibe Check
🎪 community voting coming soon
Latest valuation
$1B (Series C, 2026-02)
Total raised
$155M+ total raised (as of Series C, 2026-02)
Traction · Key numbers
Funding
Total raised
$155M+ total raised (as of Series C, 2026-02)
Rounds
4
Valuation pace
18 months from seed to $1B valuation
$96M
Series C · 2026-02 · valuation $1B post (Series C, 2026-02) · led by Lightspeed Venture Partners
With: Sequoia Capital, Kleiner Perkins, Saga VC, South Park Commons, Evantic · Reached $1B valuation in 18 months, the first GEO-category unicorn
$35M
Series B · 2025-08 · led by Sequoia Capital
With: Kleiner Perkins, Khosla Ventures, NVentures, Saga VC, South Park Commons · Brought total funding to ~$58.5M
$20M
Series A · 2025-05 · led by Kleiner Perkins
With: Khosla Ventures, NVentures
$3.5M
Seed · 2024
▸18 months from seed to $1B valuation ranks among the fastest in AI infrastructure, signaling fast-forming investor consensus on the GEO category
▸A relay of top-tier leads — Kleiner Perkins (Series A) to Sequoia (Series B) to Lightspeed (Series C) — is a rare tiered endorsement
▸$155M+ raised against ~$6.8M ARR implies a very high valuation-to-revenue multiple — this is a bet on category position, not current financial performance
Founders
James Cadwallader CEO
Co-founder and CEO, driving the company's positioning in the AI answer-engine optimization (AEO/GEO) category
Dylan Babbs CTO
Co-founder and CTO
Reality · Working here
Signals & Risks
Editorial ✎
Good fit for
· Growth/data engineers — the core problem is crawling, attribution, and log analysis at scale; people who like building reliable data pipelines will find real work here
· Those willing to bet on an emerging, still-forming category — GEO/AEO rules are still being unilaterally rewritten by AI platforms
· People who enjoy working with enterprise marketing/SEO teams and can translate technical capability into a legible ROI story
Not for
· People who want a mature, stable product line — the moat and metrics here are still evolving and may shift as AI platform rules change
· Those unwilling to bear the uncertainty of a next round or exit given how far valuation has run ahead of revenue
Ask in the interview
1. If OpenAI/Google/Perplexity change crawling or citation rules tomorrow, how exposed are the core metrics — is there a contingency plan?
2. A $1B valuation against ~$6.8M ARR is a big gap — what revenue growth curve does the company think it needs over the next 12-18 months to justify it?
3. Legacy SEO tool vendors (Ahrefs, Semrush, etc.) are moving fast into GEO/AEO — where exactly does Profound's technical/data moat actually live?
Data changelog
Community corrections → editorial review → applied, fully on the record
data as of 2026-02 · Source: Profound blog ↗
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