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Our first tool drop!

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.

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New tools to optimize your AI exposure.

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.

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Intent Crawler

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:

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

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LLM Evaluator

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:

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

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GEO Evaluator

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:

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

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GRASP Evaluator

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:

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

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LLMS.txt Generator

Automatically generate LLMS.txt files for any website to help Large Language Models better understand and reference your content.

Universal Compatibility

Automatically detects website structure and content categories for any type of site

Dynamic Section Detection

Intelligently discovers content sections from URL patterns rather than using hardcoded templates

Multiple Output Formats

Generates .txt, .md, and .json versions with comprehensive metadata

Dashboard Integration

Automatically integrates with the master dashboard for visual analysis and reporting
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