Is AI recommending your product?
Your customers are finding products through AI conversations now. We benchmark how LLMs perceive your brand, visibility in search results, and technical reliability.
A 3-step pulse check on your brand visibility
1. Index Surface Area
Submit your product site and documentation. Our crawlers index what AI models and bots see first.
2. AI SEO Analysis
We query frontier models to analyze brand sentiment and ensure your product appears in key discovery results.
3. Monitor Gains
Track your brand share of voice in LLM answers as models update and your content strategy evolves.
Analyze your LLM visibility — free, right now
Identify critical gaps in how AI agents and product marketers perceive your value proposition.
Sample Analysis
NEEDS IMPROVEMENTCritical AI Discovery Gaps
- errorAI models misquoting Enterprise pricing tiers
- warningBrand mention share low in category 'SaaS Infrastructure'
- errorProduct value props not indexed in RAG pipelines
Your Brand Presence in LLM Search
We query frontier models directly to benchmark your visibility in their training sets and live RAG retrieval results.
| Model Name | Mentioned? | Sentiment | Finding Docs? | Visibility |
|---|---|---|---|---|
C ChatGPT-4o | Frequent | Positive | 92% Match | 94 |
A Claude 3.5 Sonnet | Frequent | High Trust | 88% Match | 91 |
P Perplexity AI | Moderate | Neutral | 45% Match | 52 |
G Gemini 1.5 Pro | Rarely | N/A | None | 18 |
Simple pricing
Start free. Upgrade when you want continuous monitoring.
One-Time
- check_circle AI SEO Summary
- check_circle Top 3 Discovery Gaps
- check_circle Email Delivery
Pro
- check_circle Scan any domain on demand
- check_circle Up to 10 tracked domains
- check_circle 5 team seats included
- check_circle Share of voice + sentiment trends
Business
- check_circle Everything in Pro
- check_circle Up to 50 tracked domains
- check_circle 20 team seats included
- check_circle Priority support + SSO on request
6 categories that define Market & Tech Readiness
Our scoring engine evaluates these core pillars to ensure LLMs give customers the right answers about your product.
Brand Discoverability
- • AI SEO & Bot crawl optimization
- • Sitemaps for frontier AI bots
- • Share of voice in training sets
Content Structure
- • LLM-friendly semantic HTML
- • Markdown hierarchy for RAG
- • Tabular data readability
Product Value Props
- • Feature description clarity
- • Competitive positioning indexing
- • Use-case discoverability
Sentiment & FAQ
- • Brand sentiment alignment
- • FAQ RAG accessibility
- • Community answer quality
Trust & Compliance
- • Compliance visibility for AI
- • Auth flow documentation
- • Privacy policy clarity
LLM Freshness
- • Deprecation warnings tracking
- • Pricing update propagation
- • Real-time data consistency
How Shield.ai optimized for LLM product search.
"We realized ChatGPT was hallucinating about our Enterprise tier. AIsurfacehelped us identify the brand content confusing the models. Within 3 months, AI-driven inbound leads increased by 40%."