> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peakmark.cc/llms.txt
> Use this file to discover all available pages before exploring further.
# AI Visibility Tracking: Daily Scores Across Models
> Peakmark runs daily prompts across ChatGPT, Claude, Gemini, and Perplexity to show how your brand's AI visibility changes over time, model by model.
Every day, buyers open ChatGPT, Claude, Gemini, or Perplexity and ask which product to use in your category. The answer is a short list — no page two, often no click. Peakmark tracks whether your brand lands on that list by sending the exact questions your buyers ask to each AI model every single day and recording the results. You get a continuously updated picture of your brand's presence in AI-generated answers, broken down by model and by prompt, so you can see whether the work you're doing is actually moving the needle.
## What tracking measures
Tracking is the process of running a defined set of category-relevant prompts through each AI model on a daily basis and scoring whether your brand appears in the response. Each prompt gets a binary result — mentioned or not mentioned — and those results roll up into a visibility score per model and a blended score across all models.
Over time, those daily scores form a trend line. That trend line is the clearest signal in GEO: it tells you whether your brand is becoming more or less trusted by AI, and it shows you when a specific action — a new piece of content, a press placement, a Reddit thread — appears to have made a difference.
## Why daily cadence matters
AI models are not static. They update their knowledge, refine their behavior, and shift which sources they trust on a cadence that no one outside the model providers fully controls. Weekly or monthly snapshots miss the inflection points that matter most: the day a competitor earned a major press placement, the week a model started behaving differently after a training update, the moment a piece of content you published began surfacing in answers.
Daily tracking gives you the resolution to act on signals while they're fresh rather than discovering a trend weeks after it started.
## Supported models
Peakmark tracks your brand's visibility across the four AI models that drive the largest share of AI-powered search and research today, with additional models available for broader coverage.
OpenAI's flagship model, used by 900M+ people every week. The default benchmark for AI visibility in most categories.
Anthropic's model, widely used for research-oriented queries and increasingly popular for business buying decisions.
Google's AI, integrated into Search and Workspace. Cites a distinct set of sources from other models, making separate tracking valuable.
The AI search engine that surfaces citations most explicitly — a key model for understanding which sources drive AI recommendations.
Additional models — including **Mistral**, **DeepSeek**, **Grok**, and **Copilot** — are also available to track, giving you coverage across the full landscape of models your buyers might use.
## What the tracking dashboard shows
### Visibility trend line
The primary chart on your tracking dashboard plots your brand's mention rate over time for each model. You can view all models on the same chart to compare trajectories, or isolate a single model to examine a specific period in detail. The trend line is your top-level answer to "is GEO working?"
### Per-model breakdown
Each model is tracked and scored independently. Your brand may appear in 70% of prompts on Perplexity but only 30% on Gemini — a split that would be invisible in any blended score. The per-model breakdown surfaces exactly where you're strong and where the largest gaps exist, so you can focus effort where it returns the most.
### Daily detail view
Every tracking day is clickable. Select any date and you'll see the full breakdown for that day: which prompts mentioned your brand, which didn't, and the score for each model. This is the entry point into the prompt evidence layer, where you can read the exact AI response behind any result.
## How prompts are selected
Peakmark builds your prompt set from the questions your buyers actually ask AI models when researching your category. These are not keyword-stuffed queries — they mirror natural language the way a real buyer would phrase it:
| Prompt type | Example |
| --------------------- | -------------------------------------------------------------- |
| Best-in-category | "What is the best \[category] tool for a growing startup?" |
| Direct recommendation | "Which \[category] platform do you recommend?" |
| Comparison trigger | "What are the top \[category] options right now?" |
| Use-case specific | "What \[category] software would you use for \[specific job]?" |
| Problem-first | "I need to \[solve problem] — what do you suggest?" |
Prompts are scoped to your product category and region during onboarding. The more accurately your prompt set reflects how buyers describe their needs, the more meaningful your visibility score becomes.
Your tracking setup is configured during onboarding. Reach out to [hello@peakmark.cc](mailto:hello@peakmark.cc) to adjust the prompt set for your category.
## Getting started
The fastest way to understand your current AI visibility is to run a free check. It takes a single form submission — no account required — and returns a scored report across ChatGPT, Claude, Gemini, and Perplexity within minutes.
Drop your domain and get a scored AI visibility report in your inbox in minutes. No account, no credit card.