LLM Monitoring

What you don't measure,
you can't improve.

What you can't measure, you can't improve. We systematically track your AEO performance.

Monthly
visibility reports
Trend
analysis and insights
Competitive
benchmarking
Experience from working with
Apryse
Scanbot SDK
iText
Xodo
Xodo Sign
Accusoft
LEADTOOLS
Apryse
Scanbot SDK
iText
Xodo
Xodo Sign
Accusoft
LEADTOOLS

AEO Performance Monitoring

Most companies have no idea how visible they are in AI tools. We change that.

The Problem Without Monitoring:

Most B2B companies have no idea how AI systems talk about them. They don't know if ChatGPT recommends them, if Perplexity cites them, or if Google AI Overviews reference their content. Without this data, every AEO strategy is flying blind. And worse: changes go unnoticed. If a competitor suddenly gets recommended more often or an LLM update changes your visibility, you only find out when it impacts your leads. LLM monitoring gives you the data you need to act proactively.

Does This Sound Familiar?

These are the problems we see at B2B companies without LLM monitoring.

No Baseline

You don't know how often or in what context your company appears in AI answers. Without a baseline, you can't assess the status quo or measure progress.

Changes Go Unnoticed

LLMs regularly update their models and sources. An update can change your visibility overnight. Without monitoring, you find out too late.

No ROI for AEO Efforts

You invest in AEO but can't prove whether the measures work. Without measurable results, AEO remains an experiment instead of a strategic investment.

Competitor Movements Invisible

Your competitors are also working on their LLM visibility. Without monitoring, you don't see when a competitor suddenly gets recommended more often or displaces you in specific categories.

What We Track

Comprehensive visibility monitoring.

Prompt Library

We develop a custom library of 50-100+ industry-specific prompts that your potential customers would enter in ChatGPT, Perplexity, and other LLMs. These prompts cover all relevant buying stages: from problem recognition through vendor comparison to final decision.

Multi-LLM Tracking

We test beyond ChatGPT. Our monitoring covers ChatGPT, Perplexity, Claude, Google AI Overviews, and other relevant AI systems. You see your visibility across all platforms and identify platform-specific strengths and weaknesses.

Competitive Dashboard

Who gets recommended for your key prompts? How is your competitors' visibility developing? Our dashboard shows you at a glance where you stand compared to competitors and where shifts are occurring.

Sentiment & Context Analysis

It's not enough to know if you're mentioned. We analyze how: Are you named as the first recommendation? As one of many options? With positive or neutral assessment? The context of mention determines its value.

Trend Reports

Monthly reports show how your LLM visibility develops over time. Rising trends, declining areas, new opportunities, and changes from LLM updates: everything at a glance with clear action recommendations.

Alert System

Significant changes in your LLM visibility require quick responses. Our alert system notifies you when your mentions change significantly, a competitor gains ground, or an LLM update affects your visibility.

Do You Know What AI Says About You?

We create a free baseline audit of your current LLM visibility and show you what systematic monitoring can do for you.

Book Consultation

Three Steps to LLM Monitoring

From setup through first insights to ongoing tracking.

1

Setup & Baseline

We develop your custom prompt library, set up multi-LLM tracking, and create an initial baseline: Where do you stand today in ChatGPT, Perplexity, Claude, and Google AI Overviews? Where do your competitors stand? This is your starting point.

2

First Analysis & Quick Wins

The baseline immediately reveals where the biggest opportunities and risks lie. We identify quick wins: prompts where you're just below the recommendation threshold and areas where your competitors have weaknesses.

3

Ongoing Monitoring

Monthly prompt tests, trend analysis, competitor updates, and action recommendations. Each report shows what changed, why it changed, and what the next steps are.

Why Our LLM Monitoring Makes a Difference

LLM monitoring is more than automated prompt testing. It requires industry knowledge, strategic thinking, and the ability to turn data into action.

1

Industry-Specific Prompt Libraries

Generic prompts deliver generic insights. We develop prompt libraries tailored to your industry, your target audience, and your competitive situation. This makes results relevant and actionable.

2

Actionable Insights

Data alone gets you nowhere. Every report includes concrete action recommendations: What should you optimize? Where do you need to respond? Which measures have the biggest impact? We deliver strategies, not dashboards.

3

Multi-Platform Perspective

Your customers don't use just ChatGPT. We track across all relevant LLMs and identify platform-specific opportunities and risks. This lets you deploy resources where they have the greatest effect.

4

Integration with AEO Strategy

Monitoring isn't an end in itself. It's the foundation for a data-driven AEO strategy. Our monitoring data flows directly into your optimization efforts and makes progress measurable.

FAQ

Answers to the most important questions about B2B LLM Monitoring.

How does LLM monitoring work technically?

We systematically test a library of industry-specific prompts in different LLMs and document the answers. Results are analyzed, categorized, and converted into trend data. Prompts are regularly updated to reflect new questions and changing usage patterns.

How often do you test?

Monthly by default. During critical phases, such as after a major LLM update or during an active optimization campaign, we can increase frequency to weekly. Monthly frequency is sufficient for most B2B companies to recognize trends and respond in time.

Which LLMs are monitored?

Our standard monitoring includes ChatGPT (GPT-4), Perplexity, Claude, and Google AI Overviews. Upon request, we can include additional systems such as Bing Copilot or industry-specific AI assistants.

What does LLM monitoring cost?

Costs depend on scope: number of prompts, frequency of tests, number of monitored LLMs, and depth of competitive analysis. We start with a free baseline audit and then create a custom quote based on your requirements.

Can we implement LLM monitoring in-house?

Manually, yes, but it's time-consuming and error-prone. Systematic monitoring with 50-100+ prompts across multiple LLMs requires automation, analytical expertise, and an understanding of which changes matter. Many customers use our monitoring as a service and focus internally on implementing recommendations.

Ready for Data-Driven LLM Visibility?

We show you what AI systems say about your company today and build a monitoring system that makes progress measurable. The first conversation is free and without obligation.

Free Consultation