ChatGPT now processes 2.5 billion prompts per day, according to The Verge. That staggering scale highlights how quickly large language models (LLMs) are becoming central to the way people look for answers and discover brands.
If your organisation is absent—or inaccurately represented—in AI-generated responses, you risk losing visibility at the very moment customers are making decisions. Traditional SEO and media monitoring won’t catch this shift.
That’s why LLM tracking matters. And with PromptEye, you can monitor, analyse, and influence how AI models reference your brand, turning missed mentions into insights you can act on to improve visibility.
What is LLM tracking?
LLM tracking is the process of monitoring how large language models like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews mention—or omit—your brand in their outputs.
Whereas SEO rank tracking tells you about keyword positions in Google, LLM tracking tells you:
- If and how your brand is mentioned in AI answers.
- Whether mentions are accurate, neutral, positive, or negative.
- Which sources are being cited to shape those mentions.
- How your brand’s visibility compares to competitors in AI-generated results.
Think of it as the AI-era equivalent of rank tracking. However, you’ll instead be measuring your brand presence inside AI answers.
Why LLM tracking matters (and why PromptEye is different)
Brands relying only on traditional SEO metrics or social listening risk missing the next frontier of online visibility: AI visibility.
Here’s the difference PromptEye makes:
Without LLM tracking:
- AI may omit your brand entirely while boosting competitors
- Misquotes or outdated info could circulate unchecked
- You don’t know which prompts trigger mentions
- Competitors may dominate share of voice in AI answers
- You react too late
With PromptEye:
- See every mention, omission, and opportunity
- Flag misrepresentations and correct them quickly
- Gain prompt-level insights
- Benchmark against competitors
- Get proactive alerts and trend dashboards
PromptEye acts as a visibility assistant for the AI, helping you measure, benchmark, and analyse your brand presence across multiple LLMs.
How to use PromptEye for LLM tracking
If you want to understand and improve how often LLMs mention your brand, here are a few steps you can take using PromptEye:
1. Define your prompt universe
Start with branded queries, product comparisons, and industry questions your audience might ask AI. PromptEye also provides templates to help expand your list.
2. Create a project in PromptEye
Add your chosen prompts, select which LLMs to track (ChatGPT, Claude, Gemini, Perplexity, etc.), and set frequency and region.
3. Monitor responses in real time
PromptEye captures AI outputs, highlights where your brand appears, and flags omissions. It also surfaces citation sources to show where LLMs are pulling information from.
4. Analyse sentiment and framing
Mentions are tagged as positive, neutral, or negative. You can filter results to see whether your brand appears in feature lists, comparisons, or recommendations.
5. Benchmark competitors
Add competitor brands to the same project. PromptEye compares share of voice across identical prompts and reveals where rivals are being favoured.
6. Get alerts and trend reports
Enable alerts for new mentions, omissions, or negative framing. Dashboards track brand visibility shifts over time and export easily for reporting.
7. Optimise your strategy
Feed insights back into your SEO and content efforts. For omitted prompts, create new targeted content. For competitor-heavy results, strengthen your authority sources.
Tips to increase AI mentions with PromptEye insights
- Be explicit: Ensure your brand name is used clearly in site content.
- Earn citations: Target the authoritative sites PromptEye shows LLMs already cite.
- Optimise for prompts: Align content with the specific queries your audience asks AI.
- Use structured data: Schema and FAQs make it easier for AI to parse and reference you.
- Iterate quickly: AI outputs can shift very quickly. Regular PromptEye monitoring helps you stay ahead.
Example use case
PromptEye tracks the query: “Best tools for LLM tracking.”
- Your brand appears in only 20 % of AI outputs, while a competitor shows in 45 %.
- AI cites the competitor’s blog post but only references a third-party aggregator for your brand.
- Sentiment is neutral, with wording like “PromptEye may help.”
Action: You publish a comprehensive guide titled “LLM Tracking with PromptEye: The Complete Guide” and secure coverage on trusted AI industry sites.
Hypothetical result: PromptEye data could show your brand appearing more frequently in responses, with citations pointing to your own content, and sentiment improving.
Conclusion
With AI Overviews becoming a regular feature in search results and the use of AI platforms continuing to grow, brand visibility in AI-driven answers is becoming increasingly important.
PromptEye provides the tools to track, analyse, and optimise your brand’s presence in LLM outputs, supporting your visibility in AI-driven answers.
Start your first PromptEye tracking project today to see how often AI is really talking about you. If you have any queries about our LLM tracking software, don’t hesitate to get in touch with us.
