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heeb icon

heeb

LLM Mentions API. One API to track mentions, sentiment, and visibility across top LLMs. Uncover where you appear, what’s missing, and how to improve your AI presence.

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Cost / License

  • Subscription
  • Proprietary

Application type

Platforms

  • Online
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Features

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  1.  No Coding Required
  2.  AI-Powered

 Tags

  • ai-seo
  • llm-seo

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heeb information

  • Developed by

    OM flagxlab
  • Licensing

    Proprietary and Commercial product.
  • Pricing

    Subscription that costs from $10 per month.
  • Alternatives

    8 alternatives listed
  • Supported Languages

    • English

AlternativeTo Category

Business & Commerce
heeb was added to AlternativeTo by heebai on and this page was last updated .
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What is heeb?

heeb.ai — LLM Mentions API

The way people search and discover information has fundamentally changed. With the rise of AI models acting as search assistants, visibility within large language models (LLMs) has become the new frontier for brand awareness.

Key Facts:

  • Over 1 billion active AI or LLM users worldwide
  • More than 90 million people now use AI as their primary search tool
  • AI-driven search is projected to grow 9x by 2027

Understanding how your brand, product, or entity appears in this new search ecosystem is essential. heeb.ai helps you measure and optimize that presence.

Overview: heeb.ai is the LLM Mentions API, a unified interface that allows developers to query and analyze how brands or entities are referenced across major large language models such as OpenAI, Google AI-mode, xAI Grok, and Perplexity Sonar.

With a single structured request, you can extract mentions, sentiment, sources, and visibility insights that help product, SEO, and research teams understand how brands are represented across AI systems.

What It Does:

heeb.ai brings together multiple LLMs behind one consistent interface. It allows you to:

  • Track brand and product mentions across multiple AI models
  • Analyze sentiment and tone of mentions
  • Retrieve citations and content sources referenced by models
  • Compute visibility and aggregated sentiment scores
  • Identify content gaps and optimize brand representation in AI-generated responses

These insights make it possible to measure and improve how your brand is represented in the new era of AI-first search.