heeb | LLM Mentions API
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Overview
- Measure your brand's visibility across AI search by tracking mentions across major LLMs like ChatGPT, Claude, and Gemini with a single API call
- Gauge public perception in AI outputs with automated sentiment analysis on every brand and keyword mention extracted from model responses
- Identify content gaps and opportunities with visibility scoring that pinpoints where your brand is missing across different AI platforms
- Validate AI-generated content and build credibility by automatically extracting the sources and citations referenced by each model
- Receive actionable, data-driven recommendations to improve your brand's representation based on aggregated mentions, sentiment, and gap analysis
- Build advanced SEO and research tools using structured JSON responses that include mentions, sentiment scores, sources, and location-specific insights
Pros & 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
Cons
- No available SDKs
- Limited language support
- No error handling documentation
- No means for user feedback
- No offline mode
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❓ Frequently Asked Questions
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Heeb's API provides actionable recommendations based on insights gathered. It translates the monitored data into concrete next steps, suggested targets, and content opportunities.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Heeb's API provides actionable recommendations based on insights gathered. It translates the monitored data into concrete next steps, suggested targets, and content opportunities.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Pricing
Pricing model
Freemium
Paid options from
$10/unit
Billing frequency
Pay-as-you-go
