It’s a post-SEO world, where your visibility depends not on gaming search algorithms but on helping AI truly understand what you do. Airbais can help your company optimize your online presence to get the maximum exposure in LLMs and AI chat platforms, and our tools will get you there fast.
Our new tools operate on the premise that to support great context engineering you need to understand what customers want from your organization, and your content should meet those intents. If you do that well, AI will be better able to recommend your brand and products when users express the same intents in AI tools like chat.
Intent Crawler will help you examine your website and extract current intents. Armed with that knowledge you can adapt and adjust where necessary to more precisely align your content to your products or services. Intent Crawler provides:
About Intent Crawler
Intelligent Web Crawling
Respectful crawling with robots.txt compliance, automatic sitemap
discovery, and configurable rate limiting
Advanced Intent Discovery
User-focused analysis (default), plus LDA topic modeling, sentence
embeddings, and clustering
Modern Dashboard
Professional web interface with Airbais design system, light/dark mode,
and responsive layout
Structured Exports
Outputs in llmstxt format and JSON for seamless LLM tool integration
LLM Evaluator looks at how your brand is mentioned and represented in Large Language Model (LLM) responses based on targeted user intents you specify. LLM Evaluator provides:
About LLM Evaluator
Multi-LLM Evaluation
Brand mentions across multiple LLMs simultaneously with comparative
analysis
Sentiment Analysis
Hybrid sentiment analysis using TextBlob and LLM-based approaches for
accurate brand perception
Context Detection
Mention types: recommendations, comparisons, examples, or explanations
Dashboard Integration
Integration with our master dashboard for visual analysis and reporting
GEO (Generative Engine Optimization) Evaluator examines your website across 5 key categories to determine how well it’s optimized for LLM understanding. GEO Evaluator provides:
About GEO Evaluator
Structural HTML
25% Weight Semantic markup, heading hierarchy, and content landmarks
analysis
Content Organization
30% Weight Page structure, scannability, and FAQ formatting evaluation
Token Efficiency
20% Weight Content-to-markup ratio and information density measurement
LLM Technical
15% Weight Checks for llms.txt, structured data, and meta optimization
Accessibility
10% Weight Alt text, link context, and language clarity reviews
GRASP Evaluator is a comprehensive assessment tool that evaluates website content across five critical dimensions to optimize for LLM understanding and response generation. GRASP Evaluator provides:
About GRASP Evaluator
Grounded
Content evalution to for alignment with customer intents using AI
Readability
Reading level analysis for target audience matching
Accuracy
Content freshness assessment as a way to measure accuracy
Structure
Semantic HTML evaluation for optimal LLM consumption
Polish
Content evaluation on grammar, spelling, and style