AI Sentiment Analysis
Citeview tracks what AI assistants like ChatGPT, Claude, and Perplexity tell your buyers when they ask for recommendations.
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Your Brand Perception is Now Controlled by Language Models
Citeview is the first dedicated LLM brand tracker designed to measure and analyze your brand mention sentiment in generative AI. to see if LLM models are talking about your brand positively or negatively.
Today, buyers aren't just searching Google or asking peers on social media—they are asking generative AI assistants for direct recommendations.
When a high-intent buyer asks ChatGPT, "What is the best CRM for a mid-sized healthcare company?", you need to know exactly how the AI responds.
Is your brand recommended?
Are your features praised?
Track Brand Sentiment Across ChatGPT, Claude, Gemini, and Perplexity
You cannot rely on manual, one-off prompts to understand your AI search visibility. AI responses change based on model updates, prompt phrasing, and conversational context.
Citeview's automated brand sentiment tracking continuously queries the world's leading language models—including ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), and Perplexity—to give you a real-time, comprehensive view of your LLM reputation.
How Language Models Evaluate Brands
Our proprietary engine doesn't just look for keyword matches. We conduct deep AI sentiment analysis on the context of every AI-generated response:
Positive Sentiment
The AI explicitly recommends your product as a top-tier solution or highlights your unique value propositions.
Neutral Sentiment
Your brand is mentioned in a list of alternatives, but without specific praise or endorsement.
Negative Sentiment
The AI highlights drawbacks, bugs, poor customer service, or explicitly recommends a competitor over you.
Omission (The Silent Killer)
The AI answers a category-relevant prompt but fails to mention your brand entirely.
Go Beyond Social Listening with Advanced AI Brand Reputation Management
To truly master Answer Engine Optimization (AEO) sentiment, B2B marketing teams need granular data. Citeview provides the exact metrics you need to influence AI outputs and dominate the consideration set.
Persona-Based Sentiment Analysis
An Enterprise IT Manager asking ChatGPT for a software recommendation will receive a completely different answer than a Startup Founder asking the exact same question. Citeview features persona-based sentiment analysis, allowing you to track how AI models adjust their tone, recommendations, and sentiment based on the specific buyer persona prompting them.
Start NowMeasure AI Share of Voice (SOV)
It’s not enough to know what ChatGPT thinks of your brand; you need to know how you stack up against your rivals. Our platform allows you to benchmark your AI share of voice against your top competitors. See who dominates the “Top 5” lists in Perplexity and discover exactly what features the AI praises your competitors for.
Start NowThe AI Visibility Score
We distill complex LLM outputs into a single, actionable metric: the AI Visibility Score (0-100). This score combines your overall mention frequency, citation quality, average brand rank, and aggregate AI sentiment into one definitive KPI that you can report to your executive team.
Start NowWhy B2B SaaS Leaders Trust Citeview for Generative AI Brand Perception
The transition to generative AI search is the biggest shift in digital marketing since the invention of the search engine. Traditional B2B sentiment tracking tools are blind to the “zero-click reality” happening inside ChatGPT.
With Citeview, you can:
Stop Guessing
Know exactly what happens when your target accounts use AI for vendor research.
Identify Narrative Gaps
Discover if AI models have outdated information about your pricing, features, or integrations.
Fuel Your PR & Content Engine
Learn exactly what authoritative sources Perplexity and Gemini are citing when they form their opinions about your brand, so you can target those publications for PR.