---
title: PrettyGreen Launches Ai Fame Tracker™
date: 2026-06-15T14:52:00+01:00
author: Mona Parmar
canonical_url: "https://itsprettygreen.com/latest/prettygreen-launches-ai-fame-tracker"
section: News
---
![A sleek laptop displays a vibrant promotional webpage featuring the text "Your competitors are getting recommended by AI. Are you?". In the foreground, a glass of water rests on a smooth wooden table, while a person’s hand holds a pen, suggesting thoughtful engagement with the content.](/uploads/transforms/Images/_1920x1080_crop_center-center_90_none/Hero-1_website_Landing.png)  

 

      ![A man with a ginger beard and light brown hair smiles broadly, wearing rounded glasses. He sports a crisp white shirt against a vibrant gradient background transitioning from purple at the top to soft blue at the bottom, creating a cheerful and engaging atmosphere.](/uploads/transforms/Images/Team-Headshots/_112x136_crop_center-center_90_none/Mark-S.jpg)  

### Mark Stringer

Founder &amp; Chairman

 

 [](https://www.linkedin.com/in/strings/) 

News

 ## New Recommendation Intelligence Platform Helps Marketers Understand Whether AI Is Choosing Their Brand and What To Do If It Isn't

The way consumers choose brands has changed.

According to GWI, 45% of consumers are increasingly turning to AI platforms such as ChatGPT, Claude, Gemini and Perplexity to help them decide what to buy, who to trust, and which brands deserve their attention.

For marketers, this creates a new challenge.

When someone asks AI for a recommendation, does it choose your brand? If it doesn't, which competitors are being recommended instead and why?

To help answer those questions, PrettyGreen has launched **Ai Fame Tracker™**, a proprietary Recommendation Intelligence Platform that measures how brands perform across leading AI systems and reveals whether they are being recalled, trusted, preferred and recommended.

## How AI Systems Influence Brand Choice

AI systems are increasingly helping consumers make decisions.

People now ask questions such as:

- Which running shoe brand is best for beginners?
- What is the most sustainable fashion retailer?
- What is the best CRM platform for a growing business?

Rather than presenting a list of options, AI platforms evaluate all available information and recommend brands. While every platform uses different models and methodologies, recommendations are often influenced by factors such as:

- Brand authority
- Reputation and trust
- Relevance to consumer needs
- Expert endorsement
- Independent validation
- Strength of presence within a category
- Consistency of information across sources

## What Is Recommendation Intelligence?

PrettyGreen defines **Recommendation Intelligence** as the discipline of measuring, understanding and improving how brands are selected and recommended by AI systems.

As consumers increasingly rely on AI assisted decision-making, marketers need visibility into the factors influencing recommendation outcomes and the actions most likely to improve performance.

Recommendation Intelligence helps brands understand:

- Whether AI recommends them
- How frequently they are recommended
- Which competitors are preferred instead
- Why recommendation outcomes occur
- What actions can improve recommendation performance

## Introducing AI Fame Tracker™

Ai Fame Tracker™ evaluates how brands perform across leading AI recommendation platforms, including ChatGPT, Claude, Gemini and Perplexity.

The platform measures performance across four recommendation drivers, which we call RAPT:

- Recall
- Authority
- Preference
- Trust

Together, these factors create a proprietary **Ai Fame Score™**, providing marketers with a clear benchmark for AI recommendation performance.

![](/uploads/Hero1b_Score_Dashboard.png)## What Can Brands Do To Improve AI Recommendations?

AI recommendation performance is influenced by a combination of reputation, relevance, authority and trust. Brands that are consistently recommended tend to demonstrate strong credibility within their category, clear differentiation and a robust presence across the sources AI systems rely upon when generating recommendations.

AI Fame Tracker™ identifies the signals helping or limiting recommendation performance and provides a practical playbook to strengthen a brand's position within AI recommendation journeys.

Recommendations span:

- Communications and reputation management
- Thought leadership and authority building
- Earned media and third-party endorsement
- Brand messaging and positioning
- Content and information quality
- Channel strategy and investment priorities

![](/uploads/Hero6_Fame_DriversPlaybook.png)## The Rise of AI Recommendation Marketing

Announcing the launch, **Mark Stringer,** **Founder and Chair of PrettyGreen,** said:

*"For years, marketers have focused on influencing what people see. Increasingly, they need to understand what and why AI recommends.*

*AI is already shaping decisions across every category, yet most brands have little understanding of whether they are being recommended at all. Ai Fame Tracker™ gives marketers the intelligence to understand where they stand, identify opportunities and improve how often AI chooses their brand."*

**Jessica Hargreaves-Paczek**, **CEO of PrettyGreen,** added:

*"AI is becoming an increasingly influential part of the customer journey. Brands need a way to understand how reputation, relevance, authority and trust translate into recommendations. Ai Fame Tracker™ combines our award-winning communications expertise, strategic insight, data and technology to make that visible."*

##   
  
Discover Your AI Fame Score™

Request a complimentary AI Fame Tracker™ report and discover:

- Your Ai Fame Score™
- How you compare against competitors
- Which AI platforms recommend your brand
- The factors shaping recommendation performance
- The actions most likely to improve results

[Get Your Ai Fame Score™ ](https://itsprettygreen.com/ai-fame-tracker)

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