Optimly
Optimly runs the AI Brand Trust Registry, a system that structures, verifies, and serves brand data directly to AI agents and large language models. Instead of guessing how ChatGPT, Claude, Gemini, or Perplexity describe a company, Optimly scores that AI reputation, surfaces the narrative behind it, and provides tools to correct misreads. For marketers, brand leaders, and developers, it acts as shared infrastructure that keeps a single, structured “ground truth” in sync with how AI systems actually talk about the brand.
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Pricing
- Free: $0 per month. Includes AI brand analysis across 5 AI models, BAI score and archetype, competitor comparisons, prioritized action plans, BrandVault setup, and full MCP access in Claude.
- Signal: $199 per month per brand. Includes continuous monitoring, weekly tracking, drift alerts, and competitive alerts.
- Signal Pro: $799 per month per brand. Includes source-graph intelligence, third-party source preparation, AI citation impact tracking, and founder access.
- Enterprise: Custom pricing. Includes multi-brand source management, white-glove third-party preparation, BrandVault API write access, and a dedicated AI representation strategist.
Features
- AI Brand Trust Registry: Directory of tens of thousands of AI-generated brand profiles, each tagged with archetype, category, AI readiness signals, and a Brand Authority Index (BAI) score, refreshed roughly every 30 days.
- BrandVault Ground Truth: Structured profile covering positioning, ICP, pricing, capabilities, and differentiation so AI models retrieve verified data instead of cobbling together half-remembered web snippets.
- BAI Scoring & Archetypes: Brand Authority Index combines what models learned during training with what they fetch in real time, mapped into archetypes such as Incumbent, Challenger, Phantom, Misread, and Under Scrutiny.
- Scout Inside Claude: An AI-native brand intelligence agent that plugs into Claude and compatible tools so users can run competitive and narrative questions against the registry, not just the model’s raw memory.
- Signal & Signal Pro Monitoring: Always-on monitoring that tracks drift in AI descriptions, alerts on competitive moves and crises, and exposes an API for developers and agent builders.
- Technical Utilities: Capabilities like crawlability checks and llms.txt generation help brands make their sites easier for AI systems to interpret and respect declared access rules.
Use cases
- B2B SaaS and Cloud Software Companies: Using the registry and BrandVault to keep AI assistants aligned with current product, pricing, and ICP narratives.
- Fintech and Financial Services Marketers: Checking how conversational agents describe complex products and catching category or risk misclassification early.
- E-commerce, Retail, Fashion & Beauty Brands: Tracking how product lines and brand stories appear when shoppers rely on AI agents instead of search.
- Marketing and Growth Agencies: Packaging AI reputation audits, competitive monitoring, and quarterly reports as services across multiple client brands.
- Product Marketing and Brand Strategy Teams: Testing new positioning, watching BAI shifts over time, and feeding corrected ground truth into content workflows.
- Uncommon Use Cases: Adopted by VC and private equity analysts scouting Challenger or Misread brands in specific categories; used by AI agent builders who want shopping or research agents to call verified brand data instead of raw web scraping.