AI & Searchfreelancer
LLM Influence
What it does
Measures how often your brand is mentioned in LLM responses. Tracks changes over time and compares with competitors.
You have no idea how visible you are in AI responses
Millions of people use ChatGPT, Gemini and Perplexity daily to find products and services. But you have no metric for how often your brand is mentioned — or if it's mentioned at all.
- No measurable metric for brand visibility in AI responses
- Impossible to know if AI visibility is increasing or decreasing over time
- No comparison with competitors' AI visibility
- Traditional SEO tools don't measure AI models' recommendations
Quantify your AI influence with hard numbers
LLM Influence sends systematic queries to large language models and measures how often, in what context, and with what sentiment your brand is mentioned. You get an influence score to track over time.
- Influence score based on frequency, position and sentiment in AI responses
- Trend tracking showing if AI visibility is increasing or decreasing
- Competitor benchmark ranking you against rivals in AI responses
- Context analysis showing in which contexts you're mentioned
Features
- Influence score (0-100) based on mention frequency and sentiment
- Trend graph showing AI visibility over time
- Competitor ranking in AI recommendations per keyword
- Context map showing which topics you're associated with
How it works
- Enter brand, industry and competitors to measure against
- The tool sends hundreds of relevant queries to AI models
- Get influence report with score, trends and competitor comparison
Use cases
- Brands wanting to measure ROI on AEO investments
- PR teams needing to report AI visibility to leadership
- Agencies wanting to document AI visibility impact for clients
Why use LLM Influence?
You can't improve what you don't measure. Traditional SEO tools give you ranking data, traffic data and backlink data — but none of them tell you what AI models say about your brand. LLM Influence fills this gap with a quantitative metric you can report to leadership and track over time.
The influence score combines three dimensions: frequency (how often you're mentioned), position (are you mentioned first or last in a list of recommendations), and sentiment (is the mention positive, neutral or negative). This three-dimensional score gives a far more nuanced picture than just "mentioned/not mentioned".
For agencies and consultants, this is a powerful tool for documenting the value of AEO work. When you can show the client that the influence score rose from 23 to 67 after 3 months of work, you have concrete proof of ROI that's as measurable as ranking data in traditional SEO.
FAQ
- What is an influence score?
- A 0-100 number combining how often you're mentioned, in what position (first vs. last), and with what sentiment (positive vs. negative) in AI responses.
- Which models are measured?
- ChatGPT, Gemini, Perplexity and Claude. Each model gives a separate score in addition to an overall influence score.
- How many queries are sent?
- Depends on industry and keyword list, but typically 50-200 unique queries per analysis for statistically reliable results.
- Can I track changes over time?
- Yes, run the analysis monthly to build a trend line. You see the effect of AEO actions directly in the influence score.
- How does this differ from AI Visibility Scanner?
- AI Visibility Scanner gives a quick check for single keywords. LLM Influence provides a deep, quantitative analysis with hundreds of queries and statistical scoring.
Try LLM Influence free