Search-Visibility.AI vs heeb | LLM Mentions API vs SiteSignal
A side-by-side comparison of Search-Visibility.AI vs heeb | LLM Mentions API vs SiteSignal — pricing, ratings, strengths and weaknesses — to help you pick.
Search-Visibility.AI surveille la manière dont les modèles d'IA comme ChatGPT et Gemini mentionnent votre marque.
- TarifFree · $29/month
- Note⭐ 5.0/5
- API—
- Open source—
Avantages
- Tracks brand visibility across multiple major AI models simultaneously
- Reveals brand mention frequency and contextual details over time
- Helps identify brand perception shifts in AI-generated responses
- Free trial available to test features before purchasing
Inconvénients
- Does not provide user engagement or impression volume metrics
- Limited to monitoring specific AI models with possible coverage gaps
- Requires ongoing monitoring to identify meaningful visibility trends
heeb est une API LLM Mentions qui unifie la surveillance de marque à travers plusieurs modèles d'IA dans une interface structurée unique.
- TarifFree · $10/unit
- Note⭐ 5.0/5
- API—
- Open source—
Avantages
- Unified interface eliminates querying multiple LLMs separately
- Covers major AI models in a single structured request
- Provides standardized mention data for comparative analysis
- Enables scalable brand monitoring across AI platforms
Inconvénients
- Limited to specific LLM partners; coverage gaps with newer models
- API pricing and rate limits may impact large-scale monitoring
- Mention analysis depends on underlying model accuracy and bias
SiteSignal surveille la perception de votre marque dans les résultats de recherche IA et identifie les sources de citations négatives.
- TarifFree · $49/year
- Note⭐ 4.9/5
- API—
- Open source—
Avantages
- Tracks brand sentiment specifically within AI search results
- Identifies which citations drive negative mentions
- Provides actionable insights for reputation management
- Real-time monitoring across AI-generated responses
Inconvénients
- Limited to monitoring your own domain mentions
- Effectiveness depends on AI system coverage and indexing
- May require ongoing optimization of tracking parameters