Reference vs Visiby: Features, Pricing & Which Is Better (2026)

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

Reference

Rahul Thennarasu

Free

Local, offline semantic search for your files and code — built for AI agents like Claude Code, with an MCP server.

Local Semantic Index: Runs a local embedding model over your files and code so nothing leaves your machine.
Live Auto-Reindexing: Updates the index as you save files, keeping search results current with the code you are actively writing.
Code-Aware Chunking: Uses tree-sitter to chunk on functions and syntactic units, so results are cited down to the exact code region.
Built-in MCP Server: Exposes /search, /explain, /find_similar and /check_doc_drift endpoints so Claude Code and other agents can query directly.
Cited Answers: Every result points back to a file and function, replacing generic AI advice with grounded, verifiable references.
Doc Drift Checks: /check_doc_drift flags places where documentation has fallen out of sync with the underlying code.
Cross-Codebase Similarity: /find_similar surfaces analogous implementations elsewhere in the codebase for reuse and refactoring.

Grounded Coding Q&A: Ask 'how did I implement rate limiting here' and get the actual function back, not a generic explanation.
Claude Code Context Injection: Use the MCP server so Claude Code pulls precise cited snippets instead of running expensive grep loops.
Refactoring Prep: Use /find_similar to locate analogous implementations across the repo before consolidating or standardizing them.
Doc-Code Alignment: Run /check_doc_drift to catch documentation that no longer matches the code it describes.
Offline / Air-Gapped Work: Semantic code search on machines that can't upload source to cloud embedding services.
Cross-Project Recall: Reindex multiple repos locally to find prior solutions you already wrote in another project.

FNA Technology

Paid

AI visibility platform that tracks how ChatGPT, Perplexity, Claude, Gemini and AI Overviews cite your brand, and ships fixes.

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.

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.