GPR Score Explained
See What AI Models Think
With LLMtel, you’ll get instant insights into how your brand is presented across 17+ leading AI systems, including:
About the GPR Score: What It Means
Your Generated Prompt Results (GPR) Score is a measure of how you, or your brand, show up in the generated prompt results.
In the past when you were searching for something, you would go to Google or Bing and enter search terms in the search box. This gives you search results.
AI is a bit different. In AI you have prompts instead of search terms. The way AI works is you enter a prompt into chatGPT, Claude, or Perplexity and get generated prompt results.
You may have seen ‘AI Overviews’ in Google or Bing. These are exactly what we’re talking about. These are Google’s and Bing’s Generated Prompt Results.
To help you understand how all the different models, not just Google’s Gemini or Bing’s OpenAI powered search see you and your brand, we’ve built a scorecard to make it easy to understand and put them in an easy to use dashboard.
Here’s a preview of how to interpret it:
Green
(High Score)
YELLOW
(Moderate Score)
RED
(Low Score)
Why Aim for a Higher Score?
Benefits of a high GPR Score:
- More accurate brand messaging across AI platforms
- Increased customer trust when users ask about you
- Stronger SEO-AI alignment (LLMs pull data differently than Google)
- Higher visibility in AI-generated suggestions and results.
- Your brand pops up in chatbots and voice assistants with accurate info.
- Customers find the right location, services, and expertise—boosting trust and sales.
- You control the narrative before hallucinations or competitors fill the gaps.
Risks of a low score:
- You miss out on AI-driven referrals and visibility. You might be left out of key generated prompt results or not mentioned at all.
- Prospects get bad info—then go elsewhere. You’re missing the chance to shape your AI reputation—which is increasingly influential.
- AI makes up details or mixes you up with someone else. Your brand could be misrepresented or confused with a competitor.
What to do with your Check:
- Fix errors – Patch wrong addresses or affiliations in each model.
- Teach new facts – Feed in the true story of your business so every system learns it.
- Monitor privacy – Check model-by-model whether your own usage is influencing the results.
- Re-test – Check again to see if your efforts are producing results.
What If I Don’t Know How to Fix It?
Recognizing the gap is step one. If you’re unsure how to improve your visibility, tone, or brand accuracy in AI models, this is a job for your SEO team or digital agency. LLMtel makes it clear what needs fixing—so they can act on it.
Not sure where to start? Check out our Partners page to find the right fit for you.
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