How to Track Your Brand in ChatGPT, Gemini & Perplexity (2025 Guide)
A step-by-step guide to monitoring how your brand appears in AI-generated answers across ChatGPT, Gemini, Perplexity, Claude, and Copilot.
AI search engines are replacing traditional search for millions of queries every day. ChatGPT, Gemini, Perplexity, Claude, and Copilot now answer questions that used to send users to your website—and if your brand isn't mentioned in those answers, you're invisible to an entire generation of searchers.
Why LLM Brand Tracking Matters
Unlike Google, AI models don't show a list of links—they synthesise an answer. If your brand isn't embedded in that answer, you receive zero traffic. Studies show over 40% of users never click a link when an AI gives them a direct answer.
- AI-generated answers are cited as fact, lending authority to mentioned brands
- Competitors who appear in AI answers gain outsized trust
- LLMs are trained on web content—what you publish today affects AI answers tomorrow
- Brand visibility in AI is measurable and improvable
Step 1 — Define Your Target Keywords and Queries
Start by listing the questions your ideal customers ask AI tools. These are typically informational queries like 'What is the best CRM for startups?' or 'Which project management tool does [use case]?'
- Brainstorm 20–30 queries your prospects ask AI tools
- Focus on informational and comparison queries ('best X for Y')
- Include head terms (your category) and long-tail variations
- Note queries where competitors are likely mentioned
Step 2 — Run Baseline Checks Across LLMs
Manually check how the major LLMs answer your target queries right now. This baseline tells you where you stand before any optimisation.
- Open ChatGPT, Gemini, Perplexity, Claude, and Copilot
- Paste each target query and record the full response
- Note which brands are mentioned and how prominently
- Score your own mention rate (mentions / total queries × 100)
Step 3 — Automate Monitoring with RankJag
Manual checks don't scale. RankJag automates the entire process—running hundreds of queries across multiple LLMs, tracking mentions over time, and alerting you when your brand visibility changes.
- Connect your brand and target queries in the dashboard
- RankJag runs queries across ChatGPT, Gemini, Perplexity, Claude and Copilot daily
- View mention rate, sentiment, and co-citation trends
- Set alerts when competitors gain ground or your share drops
Step 4 — Optimise Your Content for LLM Citation
LLMs cite sources that are authoritative, well-structured, and widely referenced. Here's how to increase your citation probability.
- Answer questions directly in the first paragraph of every article
- Use structured data (FAQ schema, HowTo schema) to signal content structure
- Build topical authority — cover every angle of your niche
- Earn citations from high-authority publications in your space
- Create data and research that LLMs are likely to cite
Step 5 — Track, Iterate, and Report
LLM SEO is a long game. Track your mention rate monthly, test content changes, and report on progress with RankJag's built-in dashboards.
Frequently Asked Questions
How often do LLM rankings change?
LLM models are updated periodically (weeks to months), but the web content they index changes daily. Your brand visibility can shift within days of publishing strong content or earning authoritative backlinks.
Is LLM SEO different from traditional SEO?
Yes. Traditional SEO optimises for link rankings in search results pages. LLM SEO optimises for being cited inside AI-generated answers. The two share some overlap (quality content, authority signals) but LLM SEO places greater emphasis on direct answers, structured data, and topical depth.
Which LLMs should I track?
Focus on ChatGPT (highest market share), Perplexity (fastest-growing AI search), Gemini (integrated in Google products), Claude, and Copilot. RankJag tracks all five.
Last updated: February 10, 2025 · Written by RankJag Team