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

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

FluentDB

Freemium

Native macOS database client with an AI co-pilot for PostgreSQL, MySQL, SQLite, and SQL Server — bring your own model.

AI Co-pilot with Guardrails: Ask questions in plain English and get trusted SQL, with safety checks that prevent destructive operations and data leakage.
Bring Your Own Model: Point FluentDB at Anthropic (Claude Code), OpenAI (Codex), or a local Ollama model — prompts go direct to your provider, never through FluentDB.
Schema-Aware SQL Editor: Full 2026-era editor with autocomplete, formatting, and instant results, and a one-click switch into AI mode.
Fluid 100K+ Row Grid: A fast data table that scrolls thousands of rows smoothly without stutter, built for large datasets.
Instant Chart Visualization: Turn any query result into a chart without leaving the app.
MCP Integration: Connect any MCP-compatible AI agent to manage FluentDB connections on your behalf.
Multi-Database Support: Connect to PostgreSQL, MySQL, SQLite, and SQL Server today, with MongoDB, Redis, ClickHouse, Snowflake, BigQuery, and DuckDB in the pipeline.
Command Palette Browsing: Hit ⌘P to search and open any table or view in a snap.

Ad-hoc Analytics on Production Databases: Ask FluentDB in plain English to summarize a table, then review and run the generated SQL against Postgres or MySQL.
Safe Data Exploration: Junior engineers explore live databases without fear thanks to AI guardrails that block destructive statements.
Local-Only Querying: Analysts working with sensitive data run queries against SQLite/SQL Server using a local Ollama model so nothing leaves the machine.
Team License Management: A small team buys reassignable seats and shares one activation pool across multiple Macs.
Agent-Driven Database Ops: Route an MCP-compatible coding agent through FluentDB to open connections and run queries autonomously.

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.