Depthdata vs Visiby: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Depthdata and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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Depthdata
Depthdata
Read-only AI spend and adoption intelligence — unify ChatGPT, Claude, Copilot, and Gemini admin data into one governed view of usage, cost, and outcomes.
Key features
- Unified AI Data Model: Normalizes usage, seats, and spend from ChatGPT, Claude, Copilot, Gemini, Cursor, Perplexity, and 16+ other tools into one schema.
- Workspace Health Score: A single 0–100 score rolls up adoption, depth, and spend across every AI tool your company uses.
- Cost per Outcome: Reports cost per active user, dormant-seat waste, and model mix using finance-grade math rather than vendor-reported figures.
- Coaching & Nudges: Detects what power users do differently, packages the patterns into playbooks, and routes nudges to the teams leaving value on the table.
- Depth-Based Leaderboards: Scores chained workflows, tool breadth, and retry patterns instead of raw prompt counts — the only way to game it is to get better at AI.
- Confidence-Labelled Analytics: Every KPI carries a confidence label and open methodology so board-deck numbers hold up under follow-up questions.
- Read-Only Admin OAuth: Connects via official admin APIs — no agents on laptops, no browser extensions, and prompts are never read.
- BI & Board Export: Push metrics to your BI stack or export board-ready reports with methodology attached.
Best for
- AI FinOps: CFOs and finance ops track cost per active user, idle-seat waste, and model mix across the entire AI stack in one ledger.
- Executive Reporting: Present the CEO or board a defensible workspace health score with trends and confidence labels instead of vendor screenshots.
- Enablement & Coaching: L&D and team leads target nudges at dormant seats using patterns learned from the workspace's own power users.
- License Right-Sizing: IT identifies which seats belong on premium tiers and which are already optimal, using measured depth-of-use.
- Cross-Tool Governance: Central IT gets one governed view of adoption and spend across ChatGPT, Claude, Copilot, Gemini, and future AI tools as they're added.
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.