| What it does | Human-run AI visibility audits for brands across ChatGPT, Perplexity, Google, Claude, and Grok
| Discovery engine for unidentified data phenomena
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Paid
| Contact for pricing
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| Pricing | HiBot Pulse: $199 one-time (25 questions, 3 AI engines, 1 run each), or $159 per audit on monthly/quarterly recurring plan. HiBot Panorama: $499 one-time (50 questions, 5 AI engines, 2 runs each averaged), or $399 per audit on monthly/quarterly recurring plan. All plans include 30-day money-back gua
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| Key features | - ANSWER framework scoring: Appearance, Nomination, Showdown, Worth, Expertise, Reputation
- False claims and hallucination detection
- Competitive standing and share of voice tracking
- 90-day prioritized roadmap with recommendations
- Multi-language support: 26 languages
- Integration with Slack, Asana, Trello, Jira
- White-label report option for agencies
- Trend tracking across multiple audit runs
- MCP server integration for AI assistants
| - Support for seven data shapes including time series, events, networks, and spatial measurements
- 32 categories spanning domains from financial markets to genomics
- Discovery engine for changing relationships and recurring behaviours
- Reproducible execution with documented model configuration and runtime context
- Confidential compute options including Intel TDX, AWS Nitro Enclaves and AMD SEV
- Developer API and GitHub integration for agent-based exploration
- Support for investigating evidence and testing explanations
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| What makes it different | - Human-run audits capture answers the way customers actually see them, in logged-out sessions, not through APIs or logged-in accounts
- Fixed price per audit rather than monthly subscription model
- ANSWER framework grounded in McKinsey's Consumer Decision Journey
- 30-day money-back guarantee on all audits
- Free question discovery tool shows questions your customers ask AI
| - Separates phenomenon discovery from explanation, allowing rigorous investigation of root causes
- Retains all outputs alongside original data for inspection and reproducibility
- Works with existing data without requiring pre-identification of phenomena
- Keeps execution accountable through documented model identity and configuration
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 3 | 2 |
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| Citation Flow (Majestic) | 13 | 14 |
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| Referring domains (Majestic) | 41 | 17 |
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HiBot
Kavara™