AI Reputation Management: Monitor Brand Sentiment | LLM Pulse

Take control of your AI reputation across every AI model

Monitor your brand's sentiment and citations in AI responses. Protect and enhance your reputation in the AI ecosystem.

Reputation monitoring with the receipts attached

Score how every AI model describes your brand and keep the exact answers for when leadership asks.

Sentiment Tracking

Catch the drift before it becomes a crisis

Reputation problems drift in before they blow up. Per-model sentiment scores, charted over time, separate a slow slide on one platform from a category-wide shift, so the response starts weeks before someone screenshots a bad answer into the exec channel.

Answer Evidence

Escalations that arrive with the quote attached

An escalation built on "the AI sounds negative" rarely survives scrutiny. Every sentiment score links to the archived answer that produced it, mention highlighted and dated, so what lands on the leadership or legal desk is the exact wording.

Competitor Benchmarking

A flat score can still be a losing one

A stable sentiment number can hide a losing position. The competitors view runs every tracked rival through your exact prompts and lines their visibility and positions up against yours, so you notice the challenger who starts winning the questions that used to be yours.

Why Reputation Teams Trust LLM Pulse

Stay on top of how AI perceives your brand and take action to improve your digital reputation.

Track Brand Sentiment

Monitor how AI models perceive and describe your brand, positively, negatively, or neutrally.

Monitor Your Citations

See which sources AI models cite when mentioning your brand and understand the content influencing AI.

Analyze AI Content

Understand what AI is saying about your brand and identify opportunities to improve your narrative.

Protect Your Reputation

Get alerted to negative sentiment shifts or harmful content before they impact your brand perception.

Track Sentiment Trends

Monitor how your brand sentiment evolves over time across different AI platforms.

Compare Against Competitors

Benchmark your sentiment and citation quality against competitors in the AI ecosystem.

Your AI Reputation Dashboard

Everything you need to monitor and improve your brand's reputation in AI responses.

  1. Set Up Reputation Monitoring
    Configure your brand, products, and key terms to track sentiment and citations across all major AI platforms.

  2. Analyze Brand Sentiment
    Get daily insights into how AI models perceive your brand, tracking positive, negative, and neutral mentions.

  3. Review Citation Sources
    Understand which sources influence AI responses about your brand and identify content gaps.

  4. Take Action
    Use insights to create content that improves your AI reputation and addresses negative perceptions.

Reputation Team Use Cases

How reputation-focused teams use LLM Pulse.

Sentiment Monitoring

Track daily sentiment changes and understand how AI perception of your brand evolves over time.

Citation Analysis

Identify which sources AI models cite and optimize your content to become a trusted reference.

Reputation Alerts

Get notified when negative sentiment or harmful content appears in AI responses about your brand.

Content Gap Analysis

Discover topics where AI lacks information about your brand and create content to fill those gaps.

"LLM Pulse has allowed us to better organize our work and prioritize the actions that matter most. It gives us much greater clarity when implementing new ideas, and it makes reporting far easier, with metrics that were previously complex and difficult to obtain. Today it is part of how we plan and measure our visibility in AI search."

Sandra Vargas
Euroinnova

Frequently Asked Questions

Learn how reputation teams use LLM Pulse to protect and enhance brand perception in AI.

What is AI reputation management?

AI reputation management is the practice of monitoring and improving how AI assistants like ChatGPT, Perplexity, and Gemini describe your brand. It combines sentiment tracking, citation analysis, and corrective content so AI models present your brand accurately and positively.

Why is AI reputation management important?

AI chatbots influence millions of purchasing decisions daily. When someone asks "Is [Brand] reliable?" or "What's the best [product]?", AI's response shapes their perception. Poor AI reputation means lost customers and damaged brand equity.

How do I know if AI is saying negative things about my brand?

LLM Pulse monitors AI responses continuously and scores sentiment on a 5-point scale. You'll see exactly how AI describes your brand, what topics drive positive or negative perception, and how sentiment trends over time.

What sources influence how AI perceives my brand?

AI synthesizes information from web content, reviews, news articles, forums, and authoritative sources. Citation tracking shows exactly which sources AI uses when discussing your brand, helping you identify influencers of AI perception.

How can I improve my brand's AI reputation?

Create comprehensive, accurate content that answers common questions about your brand. Address negative topics directly, ensure information across the web is consistent and up-to-date, and build presence on authoritative sites that AI trusts.

Can I get alerts for reputation threats?

Yes, LLM Pulse can alert you when sentiment shifts significantly or when specific negative topics emerge in AI responses. This early warning lets you respond proactively before reputation damage spreads.

Does sentiment differ between AI models?

Reputation rarely moves uniformly. Models comparison shows how each AI model, ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews, frames your brand, so you can fix a negative narrative on the specific platform where it appears rather than guessing.

Explore the features behind this solution

Protect and enhance your AI reputation

Take control of your brand's AI reputation. Monitor sentiment, track citations, and shape the narrative.