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Preetest vs FeedBug

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

Preetest compared with FeedBug
DetailPreetest logo PreetestFeedBug logo FeedBug
What it doesAI testers inspect your site in real browsers and deliver fixes in minutes Visual bug reporting for Linear and GitHub with AI-powered source file tracing
StageNot given Startup
FoundedNot given 2026
Based inSA Not given
Pricing modelFreemium Freemium
PricingFree: $0 with free tokens and 2 seats, 3 systems. Starter: $29/mo with 1,000 tokens/month, 2 seats, 5 systems. Pro: $79/mo with 3,000 tokens/month, 5 seats, 20 systems. Scale: $159/mo with 7,000 tokens/month, 25 seats, 100 systems. Enterprise available by contacting sales. Prices in USD, charged in Free: €0/month (1 project, 25 feedbacks/month); Pro: €8.99/month (€29 regular, launch price until 31 December 2026); Team: €24.49/month (€79 regular, launch price until 31 December 2026)
Key features
  • 17 specialist AI agents covering security, UI, performance, and accessibility
  • Fix prompts ready for Cursor, Claude Code or Copilot
  • Security testing including SQL injection and XSS detection
  • Quality seal with QR code for public reports
  • Community feature with simulated user personas
  • Support for Arabic and right-to-left testing
  • Multiple AI models including Claude Sonnet, GPT, Gemini, Grok, Llama, DeepSeek, Qwen and Mistral
  • API access, GitHub integration, webhooks and Slack integration
  • Token-based pricing with transparent estimates before each run
  • Console logs and JS error capture
  • Network request logging
  • AI-powered bug tracing via MCP server
  • Linear and GitHub integration
  • Screenshot annotation
  • Per-user attribution
  • Session replay
  • Custom data capture for cookies and storage
  • Two-minute setup with single script tag
What makes it different
  • No setup required—inspect any site by entering its URL with no scripts or code integration
  • Comprehensive reports with screenshots and ready-to-use fix prompts for every issue
  • Pay only for actual usage through transparent token-based pricing
  • Simulates real user behavior across multiple personas, devices and markets
  • Public quality seals with QR codes to display inspection results to customers
  • Captures full context including console logs, network errors, and HTML context automatically
  • Requires only one script tag with no SDK, no build step, no dependencies
  • Creates issues in Linear or GitHub in two seconds
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check5 no change since last check
Trust Flow (Majestic)04
Citation Flow (Majestic)624
Referring domains (Majestic)123

5 details filled in for both companies.

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