# AI visibility trackers

AI & LLM visibility tracker

A consumer answer, a search summary and an API experiment tell you different things. Start with the experience your buyers use, then define the evidence you need.

Standard monitoring covers four engines, subject to your plan. All other pages describe custom research enquiries: feasibility and deliverables must be agreed before collection.

[View plans and current coverage](https://www.geoly.ai/pricing)

## Standard monitoring

Choose from the four engines included in GEOly standard plans. Engine count depends on your plan.

- [ChatGPT](https://www.geoly.ai/chatgpt-visibility-tracker) — Ask ChatGPT the questions your buyers ask, on a schedule, and see which brands it names, in what order, and which pages it cites as evidence.
- [Google AI Mode](https://www.geoly.ai/google-ai-mode-visibility-tracker) — Google AI Mode answers in a conversation instead of ten blue links. Track whether it names your brand, which sources it leans on, and what it searched for to build the answer.
- [Gemini](https://www.geoly.ai/gemini-visibility-tracker) — Gemini is Google's assistant app. Track how it describes your brand, who it recommends instead, and whether the answer changes from one market to the next.
- [Google AI Overviews](https://www.geoly.ai/google-ai-overviews-tracker) — AI Overviews sit above the classic Google results. Track whether they mention your brand and which pages they cite, because ranking first below the overview is no longer the same as being seen first.

## Assistants & agents

Define the product, account context and buyer task. Consumer experiences and model API calls need separate baselines.

- [Mistral](https://www.geoly.ai/mistral-visibility-tracker) — Investigate how Mistral describes and cites your brand. Separate Vibe (formerly Le Chat) from Small and Medium API experiments, then scope custom coverage with GEOly.
- [Muse](https://www.geoly.ai/muse-visibility-tracker) — Map brand discovery across Muse, Meta AI and Meta Model API experiments. Understand Muse Spark and Muse Wonder in context, then discuss a custom measurement brief.
- [Claude](https://www.geoly.ai/claude-visibility-tracker) — Research how Claude mentions your brand and uses sources. Compare Sonnet, Haiku, Opus and Fable in a defined setup, with custom scope agreed before collection.
- [Baidu ERNIE](https://www.geoly.ai/baidu-ernie-visibility-tracker) — Plan Chinese-language brand research for Baidu ERNIE. Distinguish the assistant, Baidu Search and Qianfan API tests before agreeing custom coverage.
- [Perplexity](https://www.geoly.ai/perplexity-visibility-tracker) — Understand the mentions, source links and website visits behind Perplexity discovery. Build your research brief, then discuss custom coverage with the GEOly team.

## Regional & alternative search

Keep language, market and search surface explicit. A regular organic result is not automatically an AI citation.

- [Naver AI Briefing](https://www.geoly.ai/naver-ai-briefing-visibility-tracker) — Study brand mentions and cited sources in Naver AI Briefing. Start with Korean search intent, local entities and a defined market for custom research.
- [Bing AI Mode](https://www.geoly.ai/bing-ai-mode-visibility-tracker) — Examine brand recommendations and source links in Bing AI Mode. Keep Bing, Google AI Mode and Copilot experiences distinct when scoping custom research.

## API research & retrieval

Evaluate configured models, search tools and retrieved sources. API benchmarks do not represent consumer reach.

- [Qwen](https://www.geoly.ai/qwen-visibility-tracker) — Evaluate Qwen brand mentions, search-enabled answers and source links in a controlled API study. Define the deployment and search settings before scoping GEOly custom research.
- [DeepSeek](https://www.geoly.ai/deepseek-visibility-tracker) — Separate DeepSeek app observations from model API and search-tool experiments. Build an auditable brand research brief for custom GEOly coverage.
- [Grok](https://www.geoly.ai/grok-visibility-tracker) — Investigate Grok brand answers across web and X sources. Scope custom research with separate consumer, API and search-tool baselines.
- [OpenAI API](https://www.geoly.ai/openai-api-visibility-tracker) — Benchmark brand mentions and cited sources in OpenAI API responses. Scope Astra, Sol, Luna and Terra experiments separately from ChatGPT consumer visibility.
- [Gemini Search API](https://www.geoly.ai/gemini-search-visibility-tracker) — Audit brand mentions and source evidence in Gemini API answers grounded with Google Search. Keep this custom research separate from Gemini, AI Mode and AI Overviews.
- [Perplexity API](https://www.geoly.ai/perplexity-api-visibility-tracker) — Define a Perplexity API brand-research benchmark with clear model, search and citation evidence. Keep API findings separate from the Perplexity consumer website.
- [Exa](https://www.geoly.ai/exa-visibility-tracker) — Measure retrieval exposure and answer citations in Exa API research. Build a custom benchmark for source discovery without confusing it with consumer chatbot reach.

## Choose the evidence before the metric.

For a consumer product, inspect the answer users receive. For a model API, record the model, tools and instructions. For retrieval infrastructure, distinguish a returned URL from a final citation. Keep these populations separate when reporting results.