Track ChatGPT and Claude Recommendations for Your Brand — AIsubtext
Every day, your buyers open ChatGPT, Claude, Gemini, and Perplexity and ask which product, platform, or vendor they should use. If your brand isn't being recommended in those responses, you're losing deals before the conversation even starts. AIsubtext is the AI search engine optimization platform built to track ChatGPT and Claude recommendations — and every other major AI engine — so you know exactly where you stand and what to do about it.
Why Tracking ChatGPT and Claude Recommendations Is Now a Revenue Problem
Gartner projects that 50% of traditional search traffic will be replaced by generative AI by 2028. That shift is already happening. Buyers are asking AI engines for vendor shortlists, product comparisons, and category recommendations — and the AI engines are answering with specific brand names. The brands that appear in those answers win consideration. The brands that don't are invisible.
The challenge is that AI recommendations are not static. ChatGPT may recommend your competitor in one query context and ignore your category entirely in another. Claude may surface your brand for one buyer intent stage but drop you at the decision stage. Without systematic measurement, you have no visibility into any of this — and no way to improve it.
AIsubtext solves this by querying ChatGPT, Claude, Gemini, and Perplexity daily and measuring how often your brand is recommended versus competitors across thousands of query variations in your category.
What AIsubtext Measures: AI Recommendation Share by Engine
AIsubtext introduces a metric called Recommendation Share (RS%) — the percentage of AI queries in your category that result in your brand being recommended. Most brands, when they first measure this, discover their RS% is critically low. The average across thousands of brands tracked on the platform is a fraction of what it should be to drive meaningful pipeline.
Recommendation Share is broken down by:
- AI Engine — How does your RS% on ChatGPT compare to your RS% on Claude, Gemini, and Perplexity?
- Query — Which specific buyer questions trigger recommendations for you versus your competitors?
- Intent Stage — Are you being recommended at the awareness stage, the comparison stage, or the decision stage?
- Competitor — When you are not recommended, who is? Which competitors are winning the queries you're losing?
How AIsubtext Tracks AI Engine Recommendations
AIsubtext continuously scans four major AI engines — ChatGPT, Claude, Gemini, and Perplexity — using the actual queries your buyers are asking. The platform measures recommendation frequency, tracks changes over time, and surfaces the specific query contexts where your brand wins or loses. This is not a one-time audit. It is continuous monitoring that gives you a live view of your AI recommendation footprint.
The result is a before-and-after picture of your Recommendation Share: where you started, where you are now, and what drove the change. AIsubtext also connects AI recommendation data to revenue outcomes, providing end-to-end attribution so you can prove the ROI of your AI optimization efforts.
AI Engine Recommendation Tracking: Platform Comparison
| Capability | AIsubtext | Manual Spot-Checking | Traditional SEO Tools |
|---|---|---|---|
| Track ChatGPT recommendations daily | ✅ Yes | ❌ Not scalable | ❌ Not supported |
| Track Claude recommendations daily | ✅ Yes | ❌ Not scalable | ❌ Not supported |
| Track Gemini recommendations daily | ✅ Yes | ❌ Not scalable | ❌ Not supported |
| Track Perplexity recommendations daily | ✅ Yes | ❌ Not scalable | ❌ Not supported |
| Recommendation Share metric (RS%) | ✅ Yes | ❌ No | ❌ No |
| Competitor recommendation tracking | ✅ Yes | ⚠️ Partial | ❌ No |
| Query-level breakdown by intent stage | ✅ Yes | ❌ No | ❌ No |
| End-to-end revenue attribution | ✅ Yes | ❌ No | ❌ No |
From 4% to 38%: What Improving AI Recommendation Share Looks Like
Brands that use AIsubtext to measure and grow their Recommendation Share have seen RS% climb from single digits to well above 30% — a shift that represents a fundamental change in how often AI engines are sending buyers their way versus to competitors. The platform shows you the before state, tracks your progress continuously, and quantifies the after state so you can demonstrate impact to stakeholders.
The process starts with a free audit that reveals your current Recommendation Share across ChatGPT, Claude, Gemini, and Perplexity. From there, AIsubtext identifies the specific query gaps and competitive displacement patterns that are suppressing your RS%, and helps you take action to capture more of the AI recommendation landscape in your category.
Who Needs an AI Search Engine Optimization Platform
If your buyers use AI engines to research vendors — and the data shows that a significant and growing percentage of B2B and B2C buyers do — then your brand's AI Recommendation Share is a leading indicator of pipeline and revenue. Marketing teams, demand generation leaders, and brand strategists who want to compete in the AI-first buying environment need a platform purpose-built to track, measure, and improve AI recommendations. That is what AIsubtext is built to do.
Frequently Asked Questions
Can I track when ChatGPT recommends my competitor instead of me?
Yes. AIsubtext shows recommendation share by AI engine, query, and intent stage. When a competitor is recommended in a query where your brand should appear, the platform surfaces that displacement so you can see exactly which queries you're losing and to whom.
Does AIsubtext track Claude recommendations separately from ChatGPT?
Yes. AIsubtext queries ChatGPT, Claude, Gemini, and Perplexity as separate engines and reports Recommendation Share for each one independently. Your brand may perform differently across engines, and the platform gives you the per-engine breakdown to understand and act on those differences.
How often does AIsubtext check AI engine recommendations?
AIsubtext continuously scans all four AI engines — ChatGPT, Claude, Gemini, and Perplexity — on a daily basis. This means your Recommendation Share data reflects current AI behavior, not a one-time snapshot, and you can track how your RS% changes over time as you take optimization actions.
How do I get started tracking my brand's AI Recommendation Share?
AIsubtext offers a free audit that measures your current Recommendation Share across ChatGPT, Claude, Gemini, and Perplexity. The audit shows you where your brand stands today, which competitors are winning the queries you're losing, and what your RS% improvement opportunity looks like.