What is LLM Brand Tracking?

The systematic monitoring of how Large Language Models mention, describe, and recommend your brand across AI platforms.

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Key Takeaways

  • LLM brand tracking monitors how AI tools mention, describe, and recommend your brand across platforms like ChatGPT, Perplexity, and Claude.
  • It goes beyond mention counting to capture sentiment, competitive position, query coverage, and visibility trends over time.
  • Manual checking doesn't scale. Automated tracking across multiple AI platforms provides the consistent data needed to spot trends and act.
  • Tracking data becomes actionable when you reinforce what's working, fill coverage gaps, and address negative sentiment.

You probably track social media mentions. Maybe you monitor news coverage. You might even have Google Alerts set up for your brand name.

But do you know what ChatGPT says about you?

The blind spot in your brand monitoring

Traditional brand monitoring covers social media, news, and websites. Someone tweets about you, you see it. A blog mentions you, you find it.

AI mentions are different. When someone asks ChatGPT "what's the best tool for X?" and ChatGPT recommends your competitor, you have no idea it happened. No notification. No alert. No trace in your analytics.

These conversations happen thousands of times a day. High-intent users, actively seeking solutions, getting recommendations. And most businesses are completely blind to them.

What LLM brand tracking actually involves

It's not complicated conceptually. You want to know: when people ask AI tools questions relevant to my business, do they mention me? How do they describe me? Who do they recommend instead?

Mention frequency is your baseline metric. How often does AI mention you for relevant queries? Are you mentioned 8 times out of 10, or 2 times out of 10?

Mention context matters as much as visibility. When AI mentions you, what does it say? A positive recommendation ("I'd suggest this because...") is very different from a neutral listing ("This is one option among...") or negative context ("This can be expensive...").

Competitive position shows the landscape. Who else gets mentioned for the same queries? Where are you first? Where are you second? Where are you absent entirely while competitors get all the attention?

Query coverage reveals opportunities. Which prompts trigger mentions of your brand? Which relevant prompts don't? Understanding your coverage shows where to focus content efforts.

Trend analysis shows direction. Is your visibility increasing or decreasing? Did a recent content update improve mentions? Did a competitor's PR push hurt your position?

Why manual tracking doesn't work

You could manually check. Open ChatGPT, ask your key questions, record the responses.

But it doesn't scale. You can't check 50 prompts daily. AI responses vary, so checking once doesn't give you the full picture. It's time-intensive. And you have no historical data to spot trends.

Automated tracking solves these problems. Systems that consistently query AI platforms, record results, and build a historical record. You see patterns, catch changes, and have data to act on.

What good tracking looks like

Effective LLM brand tracking covers the key platforms: ChatGPT, Perplexity, Claude, Gemini, Grok at minimum. Different platforms have different behaviors and user bases.

It uses relevant prompts. Not generic questions, but queries your actual customers would ask. "Best accounting software" might be relevant, but "best accounting software for freelancers in the UK" might be more specific to your audience.

It tracks consistently. Regular intervals, same methodology. You need reliable data to spot trends.

It records context, not just binary mention/no mention. How you're mentioned and where in the response matters for understanding quality.

It provides trends over time. Snapshots are interesting. Trends are actionable.

Turning tracking data into action

Tracking only matters if you do something with it.

For queries where you're getting mentioned, understand why. What content or signals are driving that visibility? Reinforce what's working.

For queries where you're missing, create content that addresses those gaps. Build authority in areas where you're invisible.

For competitor wins, analyze what they're doing differently. Can you learn from their approach?

For sentiment issues, if AI describes you negatively, figure out where that's coming from and address it.

Getting started

Mentionable provides automated LLM brand tracking across 5 AI platforms. You define the prompts that matter (or get suggestions based on your URL), and it tracks your visibility continuously.

Start with a 7-day free trial to see where you stand. Most businesses are surprised by what they find. Some are pleasantly surprised to see visibility they didn't know they had. Others discover they're invisible for prompts they assumed they'd dominate.

Either way, knowing beats guessing.

Frequently Asked Questions

What is LLM brand tracking?
LLM brand tracking is the systematic monitoring of how Large Language Models like ChatGPT, Perplexity, Claude, Gemini, and Grok mention, describe, and recommend your brand. It goes beyond simple mention counting to capture sentiment, competitive position, query coverage, and visibility trends over time.
Why can't I just manually check what AI says about my brand?
Manual checking does not scale. You cannot reliably check 50 prompts across 5 platforms every week. AI responses vary between sessions, so checking once does not give the full picture. You also have no historical data to spot trends. Automated tracking provides consistent, actionable data.
What metrics should LLM brand tracking cover?
Effective tracking covers mention frequency (how often AI mentions you), mention context (positive recommendation vs neutral listing), competitive position (who else gets mentioned), query coverage (which prompts trigger your brand), and trend analysis (is visibility increasing or decreasing over time).
How is LLM brand tracking different from social media monitoring?
Social media monitoring tracks mentions on Twitter, Reddit, and news sites. LLM brand tracking monitors what AI tools say about you when users ask for recommendations. AI mentions are closer to purchase decisions because users asking ChatGPT 'what should I use' are further down the funnel than casual social mentions.
How do I get started with LLM brand tracking?
Define the prompts your customers actually ask (or use a tool like Mentionable that suggests prompts based on your URL), then track your visibility across ChatGPT, Perplexity, Claude, Gemini, and Grok continuously. Most businesses are surprised by what they find: some have visibility they did not know about, others are invisible for prompts they assumed they would dominate.
Alexandre Rastello
Alexandre Rastello
Founder & CEO, Mentionable

Alexandre is a fullstack developer with 5+ years building SaaS products. He created Mentionable after realizing no tool could answer a simple question: is AI recommending your brand, or your competitors'? He now helps solopreneurs and small businesses track their visibility across the major LLMs.

Published February 10, 2026· Updated February 12, 2026

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