Sample output

See what AI Visibility Agent output looks like

A sample output showing how Trocial checks whether AI answer engines recommend a brand, which competitors appear instead, and what fixes the agent should generate next.

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Sample verdict

Example: Singapore fintech platform. Partially visible, but competitors are easier for AI to recommend.

Prompt evidence table

Sample buyer questions cover finance automation software, Singapore fintech alternatives, AI tools for finance teams, and trusted regional finance operations.

AI answer evidence cards

Sample illustration. Live audit results depend on provider availability. The report labels unavailable providers instead of inventing results.

Competitor recommendation map

  • Clearer service pages
  • Better reviews
  • Third-party references
  • Comparison pages
  • Schema/FAQ
  • Stronger category wording

Source gap analysis

  • FAQ schema
  • Pricing clarity
  • Use-case pages
  • Local landing pages
  • Case studies
  • Review proof
  • Third-party mentions
  • AI-readable company facts

Generated fix queue

Week 1: AI-readable foundation. Week 2: Buyer-intent pages. Week 3: Proof and authority layer. Week 4: Retest and visibility progress view.

What the agent produces

  • Visibility snapshot
  • Prompt map
  • Competitor map
  • Source gap analysis
  • Prioritized action queue
  • Growth recommendation
  • Optional human review for Done-for-You plans

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