Check out our new intent and context engineering tools!
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:
Respectful crawling with robots.txt compliance, automatic sitemap discovery, and configurable rate limiting
User-focused analysis (default), plus LDA topic modeling, sentence embeddings, and clustering
Professional web interface with Airbais design system, light/dark mode, and responsive layout
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:
Brand mentions across multiple LLMs simultaneously with comparative analysis
Hybrid sentiment analysis using TextBlob and LLM-based approaches for accurate brand perception
Mention types: recommendations, comparisons, examples, or explanations
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:
25% Weight
Semantic markup, heading hierarchy, and content landmarks analysis
30% Weight
Page structure, scannability, and FAQ formatting evaluation
20% Weight
Content-to-markup ratio and information density measurement
15% Weight
Checks for llms.txt, structured data, and meta optimization
10% Weight
Alt text, link context, and language clarity reviews
Automatically generate LLMS.txt files for any website to help Large Language Models better understand and reference your content.
Automatically detects website structure and content categories for any type of site
Intelligently discovers content sections from URL patterns rather than using hardcoded templates
Generates .txt, .md, and .json versions with comprehensive metadata
Automatically integrates with the master dashboard for visual analysis and reporting