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Stacktree vs Delibora

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Stacktree compared with Delibora
DetailStacktree logo StacktreeDelibora logo Delibora
What it doesSend client work as a link, not an attachment Run structured AI debates, pitch reviews, focus groups, audience simulations and idea tournaments with inspectable transcripts and reports
StageNot given MVP
FoundedNot given Not given
Based inGB Not given
Pricing modelFreemium Not given
PricingFree: 3 pages; Solo: $19/month (25 pages, 1 custom domain, 1 client space); Studio: $79/month (unlimited pages, 10 custom domains, 10 client spaces); Firm: $249/month (unlimited pages, 25 custom domains, unlimited client spaces); Enterprise: billed annually, custom pricing. Not given
Key features
  • Replace pages in place without changing the URL
  • Works with ChatGPT, Claude, and other AI agents
  • Client spaces with dedicated portals per client
  • Passcode and email domain gates
  • Custom domains on your agency's domain
  • Version history with rollback capability
  • Decision stress-test with opposing agents and convergence recommendation
  • Judged debate with neutral arbiter scoring
  • Expert panel with key insights without verdict
  • Focus group with moderated discussion guide and verified quotes
  • Idea tournament with bracket and kill cards
  • TribeMind synthetic audience with opinion tracking
  • Shark Tank pitch panel with cross-examination
  • Interview simulator for testing guides on simulated participants
  • MultiFormat workflow chaining multiple formats together
  • Support for major AI models including Anthropic, OpenAI, Google Gemini, and others
What makes it different
  • Half of published pages change after being sent, so replace-in-place saves resending
  • Works as an MCP server with Claude, ChatGPT and other agents
  • Agency-focused with dedicated client portals and multiple custom domains
  • Analytics show engagement depth, not just opens
  • Structured protocol determines turn order, not model inference
  • Each participant has separate briefs and private context
  • Persistent transcripts preserved turn by turn
  • Human steering mid-discussion without restarting
  • Multiple dissenting AI perspectives instead of single framing
Community votes00
DR (Domain Rating by Ahrefs)53 −1 (down) since last check4 no change since last check
Trust Flow (Majestic)90
Citation Flow (Majestic)3411
Referring domains (Majestic)2451

3 details filled in for both companies.

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