LLM tracking is the practice of monitoring how large language models talk about your brand: whether ChatGPT, Claude, Gemini, Grok, Copilot, DeepSeek and Perplexity's models mention you, how they describe you, and which sources they cite when they do. Every one of those models answers the same buying question a little differently, so a single ranking number tells you almost nothing. What you actually need is prompt-level visibility, model by model.
This is the list I'd hand a marketer who wants to start tracking LLM answers this quarter. It is ranked, opinionated, and every price is current as of 2026.
Key Takeaways
- LLM tracking measures how often and how favorably each model mentions your brand across a set of tracked prompts, plus which citations it pulls from to describe you.
- Model-by-model share of voice matters more than one aggregate score, because ChatGPT, Claude and Gemini can each surface a completely different set of brands for the same prompt.
- Citation source monitoring is the part most teams underrate: knowing which URLs a model trusts tells you exactly what content to earn or fix.
- GEOly leads this list on LLM coverage, citation tracking and price, starting from $49/mo.
- Single-model monitors are fine for a first audit, but you will outgrow them the moment you need cross-model reporting or a workflow that closes gaps.
What to look for in an LLM tracking tool
- Prompt-level tracking: you define the buying questions, the tool runs them across each model on a schedule and logs where you appear.
- Model coverage: real tracking spans ChatGPT, Claude, Gemini, Grok, Copilot, DeepSeek and Perplexity's models, not just the one everyone tests first.
- Model-by-model share of voice: your mention rate versus named competitors, broken out per model, not blended into one number.
- Citation and source visibility: which URLs each model cites to describe you, so you know what content is doing the work.
- A path from insight to action: a dashboard that stops at charts is worth less than one that names the next fix.
- Honest pricing: watch for annual-only billing and per-domain fees that quietly triple the sticker price.
The 7 best LLM tracking tools in 2026
1. GEOly AI
GEOly is a GEO/AEO platform that measures brand visibility across every major LLM and then helps you close the gaps it finds. For LLM tracking specifically, it runs the prompts your buyers actually type and logs, model by model, your mention rate and share of voice, the AI Global Visibility Rate (AIGVR) over time, and the exact citations each model leans on to describe you. Because one dashboard spans ChatGPT, Claude, Gemini, Grok, Copilot, DeepSeek, Perplexity and Google AI Mode and Overviews, you get a single view of how every model sees your brand instead of a drawer full of single-model monitors.
What pushes it to the top of this list is the last mile: a competitive Topic Share-of-Model view that shows who is winning each model, Query Fan-out analysis to see the sub-questions a model expands into before it answers, and a GEO agent that recommends the fixes most likely to move a citation. It is the tool I would point a lean team at first, and it starts from $49/mo, which undercuts most of the field.
Best for: brands and agencies that want full LLM tracking plus a real plan to improve, without paying enterprise rates. See how it stacks up against named competitors on the GEOly alternatives hub, or start free on GEOly.
2. Profound
Profound is one of the best-known enterprise answer-engine platforms, with strong coverage across ChatGPT, Perplexity and the other main models and a polished analytics layer that large brands like. It is built for teams that have budget and want depth. Pricing starts at $99/mo billed yearly, with Growth at $399/mo and custom Enterprise tiers, so it lands as a capable but pricier pick. Read the full GEOly vs Profound comparison.
Best for: enterprise teams that want a mature analytics suite and have the budget to match.
3. Peec AI
Peec AI is a clean, fast-moving European entrant focused on prompt tracking, position and sentiment across ChatGPT and the other main models, with source and citation discovery built in. The interface is friendly and setup is quick, which makes it a common shortlist tool for mid-market teams. It tiers from Starter through Enterprise, with paid prices quoted rather than public. See the Peec AI alternative breakdown.
Best for: mid-market marketers who want straightforward, per-model prompt tracking without a steep ramp.
4. Otterly.ai
Otterly.ai is a lightweight, affordable monitor that got early traction tracking brand mentions across ChatGPT and Perplexity, with a visibility index and link-citation analysis. Its Lite plan at $29/mo is one of the cheapest ways to start, though model depth and breadth trail the leaders as you scale. Standard runs $189/mo and Premium $489/mo. See the Otterly.ai alternative page.
Best for: solo marketers and small teams running a first, budget LLM tracking audit.
5. Scrunch AI
Scrunch AI targets larger organizations with monitoring of how AI systems see and represent a brand, built around persona modeling and agent-traffic attribution. Its toolkit covers prompt management, citation tracking and page audits, and it is priced for enterprise: Starter is $250/mo billed annually ($300 monthly), with Growth at $417/mo. If you need enterprise-grade AI observability more than a nimble tracker, it belongs on the shortlist.
Best for: enterprise brand and observability teams tracking AI representation at scale.
6. Rankscale
Rankscale is an AI visibility analytics tool with a very broad model list, from ChatGPT and Perplexity to Gemini, Claude, DeepSeek and Grok, plus brand dashboards and page audits. It sits in the mid-to-upper price band with Pro at $99/mo, Growth at $385/mo and Enterprise at $780/mo. It is a reasonable pick for teams that want detailed per-model data at a self-serve entry point.
Best for: data-hungry teams comparing model-level visibility analytics.
7. Nightwatch
Nightwatch is a long-running SEO rank tracker that has extended into AI, connecting Google and SERP ranking changes to AI citations. Coverage spans Google, Bing, DuckDuckGo, Yahoo and YouTube, now linked to citation intelligence, prompt research and reporting, with an SEO agent and MCP for developers. Plans are keyword-volume-based with a 14-day trial. Treat it as an SEO tracker growing into LLM tracking rather than an LLM-native platform.
Best for: SEO teams that want classic rank tracking and AI citation intelligence under one tool.
How to choose
Start from the models your buyers actually use, then insist on per-model share of voice and citation tracking, not just a blended mention count. If ChatGPT is your priority today but Claude, Gemini and Perplexity are on next quarter's roadmap, buy the multi-model platform now so you are not migrating data in three months. For most teams that means shortlisting GEOly first for coverage and price, then pressure-testing it against Profound or Peec AI on the prompts that matter to your revenue.
FAQ
Can you actually track a ranking inside an LLM? Not in the Google sense of position 1 to 10. Models answer in prose, so the real metric is how often and how prominently each one mentions you across a set of tracked prompts, plus which sources it cites. That per-model picture is what LLM tracking measures.
Why track multiple LLMs instead of just ChatGPT? Because the same buying question can surface a different set of brands in Claude, Gemini or Perplexity than it does in ChatGPT. Tracking one model leaves you blind to the answers a big share of your buyers are reading.
What is the cheapest way to start? A lightweight monitor like Otterly.ai starts at $29/mo, but GEOly gives you full model coverage and a fix workflow from $49/mo, which is usually the better value once you are past a one-off audit.
Do citations really matter? Yes. The URLs a model cites are the content it trusts to describe you, so citation source monitoring tells you exactly which pages to earn, fix or update to change the answer. Explore more on the AI visibility tag.
How often should prompts run? Weekly is enough for most brands to catch movement across models; high-velocity categories benefit from daily runs, which the stronger platforms support.
Want to see how every LLM describes your brand right now? Run a GEOly visibility check or browse more comparisons from the GEOly Platform desk.
