Mention Sentiment Analysis
Being mentioned by AI is not enough. How AI describes your brand — positive, neutral, or negative — directly impacts whether users trust and choose you. Sentiment analysis reveals the emotional context of every AI mention.
LLMRanky's mention sentiment analysis goes beyond presence detection. When an AI response mentions your brand, the system analyzes the surrounding context to determine whether the mention is positive (recommended, praised), neutral (factual reference), or negative (criticized, dismissed). This emotional context shapes purchase decisions as much as whether you're mentioned at all.
AI can mention you and still hurt you
An AI response that says "Brand X is an option, though many users find it expensive and difficult to onboard" technically mentions your brand. But the sentiment is negative — and it costs you customers.
LLMRanky captures the full text of every AI response and analyzes the sentiment of brand mentions. Not just "mentioned or not" — but how it was mentioned. Positive, neutral, or negative. With or without qualifiers. In context of competitors.
Positive sentiment means AI is recommending you. Neutral means factual. Negative means AI is actively working against your conversions — even while saying your name.
Counting Mentions vs Understanding Them
Counted — but said negatively
Traditional AI monitoring counts how often your brand appears. But a mention in a negative context drives users away. You see "Brand X appeared in 80% of responses" and celebrate — while AI is actively undermining your credibility.
Every mention quality-checked
LLMRanky breaks down each mention by sentiment, position, and context. You see that ChatGPT mentions you positively, Claude neutrally, and Perplexity references you as an alternative to a competitor. Three different strategic responses to three different situations.
Per-model sentiment reveals where to act
Sentiment varies dramatically by model. ChatGPT tends to be more positive in recommendations. Claude is more measured and analytical. Perplexity references sources, so your reputation on cited pages matters more.
LLMRanky shows the sentiment breakdown for each model separately. If Claude's sentiment on your brand turns negative after a competitor published comparison content, you see it immediately — and know exactly which model to address first.
How Mention Sentiment Analysis Works
A context-aware analysis engine that reads not just if you're mentioned — but how. Because the quality of your AI reputation is as important as your visibility.
1. Question Generation
LLMRanky crawls your website and generates 30 targeted questions about your brand, products, and industry.
2. AI Response Capture
Each question is sent to ChatGPT, Claude, and Perplexity. Every response is captured in full.
3. Sentiment Scoring
Every brand mention is analyzed for sentiment context: surrounding words, qualifiers, comparison framing, and position within the response.
Know Exactly How AI Talks About You
Start a free scan to see whether ChatGPT, Claude, and Perplexity mention your brand positively, neutrally, or negatively — and what to do about it.
Analyze Sentiment Free →