CleanSlop vs Howseen AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CleanSlop and Howseen AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
CleanSlop
CleanSlop
Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.
Key features
- Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
- System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
- Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
- Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
- Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
- Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
- GitHub App Integration: Scan only the repositories you select, read-only access.
- Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.
Best for
- A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
- A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
- A side-project builder verifies that one user's data cannot be read by another through database policies.
- A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
- A team lead gets a short prioritized list instead of hundreds of linter warnings.
- An indie hacker books an expert triage call to confirm an ambiguous finding.
Howseen AI
Raphaël Aubry
GEO platform that tracks how ChatGPT, Gemini, Perplexity and Google AI recommend your brand and auto-writes content to get you cited.
Key features
- Multi-Engine Visibility Tracking: Monitors ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode, refreshed every 3 days.
- Prompt Tracking: Track the full buyer questions that matter, with suggested high-intent prompts and per-prompt visibility and sentiment.
- Competitor Share of Voice: Benchmarks visibility, sentiment and position against competitors and flags prompts where a rival replaced you.
- Citation & Source Tracing: Maps every AI answer to the domains and pages it cites so PR and outreach target trusted sources.
- Content Agents: Turns visibility gaps into GEO-optimized articles and publishes them one-click to WordPress, Shopify, Next.js and more.
- Technical GEO Audit: Checks robots.txt, sitemaps, llms.txt, schema and AI-bot crawlability.
- Off-Page Action Plan: Recommends Reddit, review-site, comparison-article and media placements.
- White-Label Reports: Agencies run Howseen across client brands with rebrandable reports.
Best for
- SaaS Category Visibility: Getting a B2B tool named when buyers ask AI for the best product in its category.
- E-commerce Recommendations: Making a DTC brand the product AI assistants suggest to shoppers.
- Agency GEO Services: Selling AI-visibility tracking and optimization to clients with white-label reports.
- Competitive Intelligence: Spotting exactly which prompts a competitor wins in AI answers and why.
- PR Targeting: Prioritizing outreach to the review sites and forums AI models cite most often.
- Content Gap Closing: Auto-producing answer-first articles for prompts where the brand is currently invisible.
