One API to track mentions, sentiment, and visibility across top LLMs.

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January 1, 2026

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heeb | LLM Mentions API

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One API to track mentions, sentiment, and visibility across top LLMs.

AI SEO GEO LLM SEO Brand Monitoring Language Learning Models Sentiment AnalysisFree + from $10

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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 GPTs, 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.

The LLM Mentions API (heeb) 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.

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heeb | LLM Mentions APIInitial

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Initial release

January 1, 2026

Initial release of heeb | LLM Mentions API.

Author

heebai

@heebai

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.

heeb.ai

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xLab

🇴🇲 Oman

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Joined: December 2025

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Freemium

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$10/unit

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Pay-as-you-go

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Users can receive refunds only for unused credits from their first purchase if requested within 30 days.

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Brand monitoring heeb | LLM Mentions API

Oman xLab Brand monitoring

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Pros and Cons

Pros

Tracks brand mentions

Monitors sentiment analysis

Visibility across LLMs

Structured responses provided

Monitors keyword mentions

Extracts sources and citations

Performs visibility and gap analysis

SEO tool development supportive

Provides actionable recommendations

LLM behavior analysis feature

Content credibility reporting

Data extraction capability

Reputation management feature

Brand perception tracking

Can guide content creation

Useful for brand improvement

Location-specific insights

Creativity enhancement supportive

Ideal for market research

Multimodal query facilitation

Single-API multimodel querying

Enhances Content creation

Location-targeted query optimization

One API for multiple functions

Targeted analysis for SEO

Citations for backlinks

Useful for content creators

Structured SEO Intelligence

Citation and source insights

Visibility and Gap scoring

Active user statistics

Optimal for developing SEO Apps

Content opportunities recommendations

Sentiment detection

Rapid result delivery

Track brand visibility

Specific region targeting

Customizable prompts

Supports JSON responses

Single prompt multiresponses

Designed for brand visibility

View 36 more pros

Cons

No available SDKs

Limited language support

No error handling documentation

No means for user feedback

No offline mode

Q&A

What is the LLM Mentions API by heeb?

The LLM Mentions API by heeb is designed to aid in tracking mentions, sentiment, and visibility across Language Learning Models (LLMs). Users can send a single prompt to various AI engines, receive structured responses, monitor brand and keyword mentions across LLMs and perform sentiment analysis.

What are the key features of the LLM Mentions API?

Key features of the LLM Mentions API include mentions and sentiment tracking, citation and source insights, visibility and gap analysis, unified access to several AI models, and provision for actionable recommendations. In addition, it provides structured SEO intelligence in the form of JSON responses that include mentions, sentiment, sources, and citations for deeper analysis.

What is the purpose of heeb's API?

heeb's API is purposed to help users monitor and improve their AI presence. It allows users to detect where their brand appears in AI outputs, identify lapses, and guide the rectification process. It can be used in the development of SEO tools and apps providing crucial data for optimization.

How does keyword monitoring work with the LLM Mentions API?

With the LLM Mentions API, users can monitor keywords by sending a prompt to various AI engines. The results will then indicate the mentions of these keywords across multiple LLMs, providing a comprehensive view of keywords' presence and sentiment in AI outputs.

How does the heeb API assist in sentiment analysis?

The LLM Mentions API provides sentiment analysis by tracking how positively or negatively a brand or keyword is portrayed across various AI-generated model outputs. This allows users to gauge public perception of their brand.

How does the LLM Mentions API help in SEO optimization?

The LLM Mentions API helps in SEO optimization by providing AI responses, sources, and citations useful for content optimization. Gap analysis and visibility metrics also assist in identifying missing mentions and measuring brand visibility, contributing to a comprehensive SEO strategy.

+ Show 34 more

What are the benefits of the visibility and gap analysis feature of this API?

The visibility and gap analysis feature of this API measures brand visibility across LLMs, helps identify areas where the brand presence is lacking, and furnishes improvement recommendations. This analysis fuels a strategic approach to increase brand visibility and influence.

What AI models can I access using the LLM Mentions API by heeb?

Using the LLM Mentions API by heeb, users can access several AI models such as ChatGPT, Claude, Gemini, and Perplexity in a unified manner with a single API call.

How does the single API call feature work in LLM Mentions API?

The single API call feature of the LLM Mentions API allows users to send a single prompt to multiple AI engines simultaneously. This enables them to receive structured responses from various models in one go, augmenting efficiency.

How can the API assist in generating citations for AI content?

The API can help in generating citations by extracting the sources and citations behind AI-generated content. These citations can validate content, track credibility, and be utilized for detailed reporting and analysis.

How does the LLM Mentions API help in tracking brand mentions across AI models?

The LLM Mentions API aids in tracking brand mentions across AI models by sending a single prompt to multiple engines and collating mentions of the brand from the outputs. This provides users insights into how often and where their brand is being mentioned.

What are the possible applications of heeb's API in developing SEO tools and apps?

Heeb's API can aid in the development of SEO tools and apps by offering valuable AI responses, sources, and citations useful for optimization. In addition, its unified access to multiple AI models makes it an essential tool for creating applications that rely on AI inputs for various tasks.

How does the LLM Mentions API gives insights into AI content generation?

The LLM Mentions API provides insights into AI content generation by monitoring brand and keyword mentions across LLMs. It analyses how the AI models talk about keywords and brands and provides structured responses that display mentions and sentiment.

Can the LLM Mentions API help in conducting credibility checks for AI-generated content?

The LLM Mentions API can help in conducting credibility checks for AI-generated content by extracting detailed source data and citations. This information can be used to verify the content and track its credibility.

How can the LLM Mentions API suggest actionable recommendations?

The LLM Mentions API suggests actionable recommendations by turning insights into proposed next steps. Following the identification of missing mentions or gaps in visibility, the API provides recommendations to target and improve future content opportunities.

What kind of responses will I receive from the heeb API?

Users will receive structured responses from heeb API that include mentions of their brand or keywords, the sentiment of the mentions, sources for credibility checks and reporting, and citations of the AI-generated content.

Can the LLM Mentions API integrate with AI models like ChatGPT, Claude, etc.?

Yes, the LLM Mentions API can be integrated with various AI models like ChatGPT and Claude, alongside others like Gemini and Perplexity, enabling users to efficiently query these models with a single API call.

How does the heeb API contribute to brand visibility tracking?

Heeb API contributes to brand visibility tracking by monitoring the presence of the brand across various Language Learning Models (LLMs). It aids in identifying where the brand appears, areas lacking in brand presence, and provides recommendation to improve visibility.

What kind of structured responses can one expect from the API?

From the LLM Mentions API, users can expect to receive JSON responses that include detailed mentions, sentiment analysis results, sources and citations for the AI-generated content, visibility scores across AI platforms, and feasible recommendations for improvement.

How can I use LLM Mentions API for brand and keyword monitoring?

Users can use the LLM Mentions API for brand and keyword monitoring by sending a prompt to multiple AI engines. The API then tracks mentions of these brands and keywords across outputs of different LLMs, offering a comprehensive view of their visibility and perception across AI platforms.

What is the main function of heeb's LLM Mentions API?

The main function of heeb's LLM Mentions API is to track and analyze brand mentions, sentiment, and visibility across different AI models also known as Language Learning Models (LLMs). It enables users to detect where their brand appears, guide improvement of their AI presence, and identify missing mentions.

How does sentiment analysis work in heeb's LLM Mentions API?

Sentiment analysis in heeb's LLM Mentions API works by tracking brand and keyword mentions across LLMs. It provides sentiment breakdowns to gauge perception, helping users to understand how often and how positively their brand or keywords appear across different AI model outputs.

What are the main features of the LLM Mentions API by heeb?

The main features of the LLM Mentions API by heeb include mentions and sentiment tracking, extraction of sources and citations behind AI-generated content, visibility and gap analysis, unified access to various AI models with single API call, and actionable recommendations.

How does heeb's API help improve AI presence?

Heeb's API helps improve AI presence by tracking mentions and visibility across multiple Language Learning Models. It identifies missing areas and offers improvement recommendations, making it possible for users to optimize their brand presence on different AI platforms.

Can the LLM Mentions API by heeb monitor keyword mentions?

Yes, the LLM Mentions API by heeb can monitor keyword mentions. It can track brand and keyword mentions across multiple Language Learning Models and provide sentiment breakdowns to evaluate perception.

How does the LLM Mentions API extract citations for AI-generated content?

Heeb's LLM Mentions API extracts citations for AI-generated content by capturing detailed source data and citations. This information can be employed to verify the content and track its credibility.

What is the benefit of the visibility and gap analysis feature in heeb's API?

The visibility and gap analysis feature in heeb's API presents a benefit of measuring brand visibility across multiple AI models while also spotting missing mentions. It provides analytics of brand presence and offers improvement recommendations, thereby giving an overall viewpoint of a brand's AI visibility.

How can heeb's API be utilized for SEO apps development?

Heeb's API can be utilized for SEO apps development by providing AI responses, sources, and citations for optimization. It allows developers to build applications that can generate ideas from AI prompts with sources and leverage location-specific insights.

Which AI models can be accessed through heeb's LLM Mentions API?

Through heeb's LLM Mentions API, several AI models can be accessed including, but not limited to, ChatGPT, Claude, Gemini, and Perplexity. This is all available with a single API call.

What kind of recommendations does heeb's API provide based on insights?

Heeb's API provides actionable recommendations based on insights gathered. It translates the monitored data into concrete next steps, suggested targets, and content opportunities.

How does brand mention tracking work in heeb's LLM Mentions API?

Brand mention tracking in heeb's LLM Mentions API works by monitoring how various AI models refer to a specific brand. These mentions are then structured and analyzed to give a comprehensive overview of brand presence across different AI platforms.

How does heeb's API help with content credibility?

Heeb's API assists with content credibility by extracting sources and citations behind AI-generated content. This helps users to substantiate the content's credibility and enhance transparency.

What are location-specific insights in heeb's LLM Mentions API?

Heeb's LLM Mentions API provides location-specific insights that are part of the information returned after sending a prompt to different AI engines. The specific geographic location of the data can be crucial for market research and regional data analysis.

How does the LLM Mentions API aid in content creation?

The LLM Mentions API aids in content creation by generating ideas from AI prompts complemented with sources and location-specific insights. This gives content creators a base from which to build and sculpt their content, maximizing creativity and relevance.

Can heeb's API help with reputation management?

Heeb's API can help with reputation management by monitoring brand mentions and sentiments across multiple AI Models. By identifying positive, negative, or neutral brand perception, users can take appropriate actions to maintain their reputation.

How does data extraction work in heeb's LLM Mentions API?

Data extraction in heeb's LLM Mentions API works by capturing and analyzing sources and citations behind the AI-generated content. Insights from these extractions can verify content and track credibility.

How does heeb's API enhance creativity in AI applications?

Heeb's API enhances creativity in AI applications by generating ideas from AI prompts combined with sources and location-specific insights. These can be utilized in creating more innovative and unique content.

Can I use heeb's API for multi-model queries?

Yes, heeb's API can be used for multi-model queries. It offers unified access to various AI models such as ChatGPT, Claude, Gemini, and Perplexity with one API call.

What kind of insights can be gained from AI responses using heeb's API?

Using heeb's API for gaining insights from AI responses includes mentions, sentiment, sources, and citations for deeper analysis. These insights can be used to enhance brand visibility, find content opportunities, and improve reputation management.

How does heeb's API help with market research?

Heeb's LLM Mentions API supports market research by aggregating market insights via multi-model queries, sources, and regional data. These insights can assist in understanding market trends and optimizing brand visibility across different AI platforms.

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