Atlaso vs Visiby: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Atlaso and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Atlaso
Atlaso Labs
Shared AI memory layer that lets Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read and write from one persistent memory.
Key features
- Cross-Tool Shared Memory: One persistent memory that Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read from and write to automatically.
- Automatic Capture & Recall: Facts, decisions, and preferences are captured as you work and recalled by whichever AI tool needs them next.
- Conflict Resolution: Repeated facts, contradictions, and confidence are tracked so the memory knows what's settled vs. what's still open.
- Memory Health Dashboard: Web dashboard shows memory power, breadth, agreement percentage, and buckets memories as Helpful / Caution / Open / Warnings.
- Personal + Per-Project Scopes: Separate personal and per-project memory scopes keep unrelated contexts from bleeding into each other.
- Secrets Scrubbed Before Storage: Secrets are stripped before anything is written to the shared memory layer.
- One-Line Install: Single curl-based installer for macOS, Linux, and Windows Terminal.
Best for
- Multi-Tool Developers: Engineers who bounce between Claude Code, Cursor, and Codex stop re-explaining project context in every session.
- Long-Running Projects: Teams keep decisions like 'launch moved from January to March' visible to every AI tool without a status doc.
- Personal Preferences: One-time preferences ('Sarah prefers async standups', 'demo day is first Friday') stick across tools.
- Onboarding New Tools: When you add a new AI tool, it inherits everything your other tools already know.
- Reducing Hallucinated Facts: Contradiction tracking flags outdated facts (like 'old pricing deck still in circulation') so tools don't reuse them.
Visiby
FNA Technology
AI visibility platform that tracks how ChatGPT, Perplexity, Claude, Gemini and AI Overviews cite your brand, and ships fixes.
Key features
- AI Citation Tracking: Continuously samples roughly 50,000 prompts per week across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews to record where and how a brand is cited.
- Per-Engine Visibility Scoring: Reports a composite AI Visibility score plus share of voice and prompts won or lost, broken out engine by engine so declines can be traced to a specific model.
- Prompts & Citations Explorer: Lets teams open any tracked prompt and read the actual model answer to see which competitor was named and why.
- Brand Entity Analysis: Maps the adjectives each engine associates with your brand versus competitors and suggests reframing plays to change that portrait.
- Competitor Intelligence: Tracks rival citation share on comparison and 'alternatives to' prompts, highlighting categories where a competitor dominates.
- Prioritized Action Plan: Converts findings into P0/P1 recommendations such as schema additions or comparison pages, each with a time estimate and projected score gain.
- Site Audit for AI Parseability: Audits pages for missing entity definitions, structured Q&A data and other signals that prevent models from citing the site correctly.
- White-Label Reporting and API: Higher tiers add white-label client reports, SSO/SAML and API access for agencies managing multiple brands.
Best for
- AI Search Monitoring: Marketing teams track whether ChatGPT and Perplexity recommend their product or a competitor on high-intent category prompts.
- Competitive Benchmarking: Brands quantify how much citation share a named rival is capturing on 'alternatives to' and 'best of' queries.
- Content Prioritization: Content teams decide which pages to write or refresh based on which prompts are currently missed rather than on keyword volume alone.
- Technical AEO Audits: SEO specialists find pages lacking FAQ schema or entity markers that keep answer engines from parsing them.
- Agency Client Reporting: Agencies run pooled prompt tracking across multiple client workspaces and deliver white-label AI visibility reports.
- Executive Reporting: Operators present a weekly digest showing search clicks alongside AI citation share to explain traffic shifts leadership sees.
