CleanSlop vs ZenABM: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CleanSlop and ZenABM — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

CleanSlop

Freemium

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.

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.

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.

Paid

LinkedIn Ads and ABM platform with an AI agent (Zena) and MCP server to create, optimize and report on campaigns from Claude, ChatGPT or any AI tool.

Zena AI Agent: Describe a campaign and Zena builds campaign, ad sets, targeting and ad copy end to end, checking audience size and reusing saved audiences and lead forms.
MCP Server: Create and launch LinkedIn ads from Claude, ChatGPT, Perplexity, Gemini or Cursor, with ads pushed into a new ad set for review in Campaign Manager.
Expert ABM Skills: 15 slash-command skills for audits, monthly reports, strategy planning, ad-decay checks and sales handoff lists, graded against ZenABM benchmarks.
One-Click Optimization: Finds low performers and pauses ad sets, changes bids and budgets or builds retargeting audiences, each change awaiting approval.
Automated AI Reporting: Weekly, monthly and quarterly reports with insights and action items, cross-referenced with pipeline data.
Company-Level Engagement and Intent: De-anonymizes LinkedIn ad engagement by company and job title, detects intent themes and scores accounts into ABM stages.
CRM Sync and Revenue Attribution: Syncs with HubSpot, Salesforce and Attio and attributes pipeline and revenue across LinkedIn, Google Ads, Reddit Ads and organic visits.
Expert Benchmarking: Zena answers strategy questions using knowledge from 30+ ABM and LinkedIn Ads experts, tied to your own data and peer benchmarks.

Conversational Campaign Launch: Asking Claude to draft and launch a new LinkedIn ad set with a set objective, budget and bidding.
ABM Account Prioritization: Identifying the most engaged target companies and handing them to sales.
Ad Spend Optimization: Pausing decaying ads and inefficient ad sets and shifting budget to top performers.
Executive Reporting: Receiving automated performance reports tied to pipeline and revenue.
Agency Client Management: Running LinkedIn Ads ABM programs for multiple client accounts from one workspace.
Custom Dashboards: Pulling LinkedIn engagement and intent data via API into BI tools.