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

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

UCP Radar

Freemium

AI-powered product feed validator and optimizer that makes ecommerce catalogs visible to AI shopping agents and Google.

Agent-Ready Score: Every SKU gets a readiness score with a per-field breakdown of what still needs work.
AI Feed Optimization: Rewrites titles, descriptions, tags, and GTINs to hit signals AI shopping agents and Google surfaces prefer.
Multi-Surface Coverage: One optimization pass flows through Google Shopping, Performance Max, Gemini, and AI Overviews.
Feed Validator: Detects missing or malformed fields before they hurt ranking or block Merchant Center.
AI Shopping Agent Visibility: Formats product data so LLM crawlers and shopping copilots can actually parse it.
Uplift Analytics: Tracks impression-share, CTR, and ROAS deltas after optimization runs.
Bulk Catalog Support: Handles large catalogs with tiered pricing based on SKU count.

Merchant Center Fixes: Clean malformed feeds so items are eligible across Google Shopping.
AI Overview Visibility: Restructure product data so Gemini / AI Mode can cite the store's listings.
Performance Max Uplift: Improve creative signals so PMax scales without extra spend.
New Store Launch: Bring a new Shopify catalog up to agent-ready in one pass instead of manual SEO per SKU.
Seasonal Refresh: Re-optimize titles and tags at holiday season without rewriting every product by hand.
Ongoing Catalog Monitoring: Detect drift as products change price, stock, or attributes.

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.