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.

For Reputation Teams

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.

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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.

Set Up Reputation Monitoring

Configure your brand, products, and key terms to track sentiment and citations across all major AI platforms.

Analyze Brand Sentiment

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

Review Citation Sources

Understand which sources influence AI responses about your brand and identify content gaps.

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 is a pioneering response to the need to measure performance across different LLMs. At TecnoCampus we need maximum transparency, to parameterize results and to be able to carry out visibility audits for our brand, now also in the increasingly established field of AI."

Jordi Perez Rubio

TecnoCampus

Frequently Asked Questions

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

: 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.
: 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.
: 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.
: 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.
: 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.
: 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.
: 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.