What is AI reputation monitoring?

AI reputation monitoring tracks how AI models like ChatGPT, Perplexity, and Gemini describe a brand when people ask about it. Because more research now happens inside AI answers, what those models say has become a core part of online reputation, and LLM Pulse measures it with sentiment, mentions, and the underlying sources.

How does sentiment analysis work in AI answers?

LLM Pulse analyzes the AI responses about your client and classifies the sentiment as positive, neutral, or negative, then tracks how that mix changes over time. You see the score and the exact answers behind it.

Can I white-label reputation reports for clients?

Yes. The white-label option lets you deliver sentiment and source reporting under your own brand, logo, and custom domain, so reputation monitoring looks like a native part of your agency.

Why do the cited sources matter for reputation?

AI models build their answers from sources they cite. Knowing which pages, reviews, and articles shape a negative or positive narrative tells your team exactly where to focus content, PR, and corrections to change what AI says.

How is this different from social listening?

Social listening tracks what people say on social platforms. AI reputation monitoring tracks what AI models say to the people researching your client. LLM Pulse focuses on the AI answer layer and the sources feeding it, which traditional listening tools do not see.

How many client brands can we monitor?

Every plan includes unlimited team members and a multi-client dashboard, so you can manage many client brands at once. Prompt volume scales with your plan based on how many brands and topics you track.

For Reputation Agencies

AI visibility software for reputation agencies and ORM teams

LLM Pulse is the AI visibility software reputation and ORM agencies use to monitor how AI models describe client brands. Track sentiment, mentions, and the sources shaping brand reputation across ChatGPT, Perplexity, and Gemini, all under your own brand.

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Why reputation agencies choose LLM Pulse

The AI search software that shows what AI models say about your clients and where that perception comes from.

AI reputation monitoring

Track how ChatGPT, Perplexity, and Gemini describe client brands, the new front line of online reputation.

Sentiment analysis

Measure positive, neutral, and negative sentiment in AI answers and watch it move over time.

Catch narrative risks early

Spot negative framing and damaging sources before they spread across AI answers and search.

Trace the sources

See which pages and reviews AI models cite, so you know exactly what content to address or correct.

Your brand, your reports

Deliver reputation insights under your own brand with client-ready dashboards and custom domain.

Defensible reporting

Show clients sentiment trends and source-level evidence with Looker Studio reporting and exports.

How reputation agencies use LLM Pulse

Turn AI brand perception into a monitoring and response service you can sell.

1

Set up brand monitoring

Add client brands, executives, and key topics, then track how AI models describe them every week.
2

Measure sentiment and sources

Quantify sentiment across AI answers and identify the exact pages and reviews driving the narrative.
3

Brief the response

Use citation and source data to prioritize the content, PR, and corrections that move AI perception.
4

Report the trend

Send white-label dashboards that prove improving sentiment and reduced risk month over month.

What reputation agencies do with LLM Pulse

AI reputation fits straight into your monitoring and crisis services.

Always-on AI monitoring

Watch how AI answers describe client brands and get ahead of reputation shifts.

Crisis detection

Surface negative sentiment and harmful sources early so your team can respond fast.

Source remediation

Identify the cited pages dragging perception down and build a plan to fix them.

Executive reporting

Give clients clear, defensible evidence of how their reputation reads inside AI search.

"LLM Pulse is a pioneering response to the need to measure performance across different LLMs. At TecnoCampus we need maximum transparency, the ability to parameterize results and to carry out visibility audits for our brand, now also in the increasingly established field of AI. LLM Pulse gives us all of that in a single place."

Jordi Perez Rubio

TecnoCampus

Frequently Asked Questions

How reputation and ORM agencies use LLM Pulse.

: AI reputation monitoring tracks how AI models like ChatGPT, Perplexity, and Gemini describe a brand when people ask about it. Because more research now happens inside AI answers, what those models say has become a core part of online reputation, and LLM Pulse measures it with sentiment, mentions, and the underlying sources.
: LLM Pulse analyzes the AI responses about your client and classifies the sentiment as positive, neutral, or negative, then tracks how that mix changes over time. You see the score and the exact answers behind it.
: Yes. The white-label option lets you deliver sentiment and source reporting under your own brand, logo, and custom domain, so reputation monitoring looks like a native part of your agency.
: AI models build their answers from sources they cite. Knowing which pages, reviews, and articles shape a negative or positive narrative tells your team exactly where to focus content, PR, and corrections to change what AI says.
: Social listening tracks what people say on social platforms. AI reputation monitoring tracks what AI models say to the people researching your client. LLM Pulse focuses on the AI answer layer and the sources feeding it, which traditional listening tools do not see.
: Every plan includes unlimited team members and a multi-client dashboard, so you can manage many client brands at once. Prompt volume scales with your plan based on how many brands and topics you track.