Monitoring Your Brand Across ChatGPT, Claude, Gemini and Perplexity

"Does AI mention us?" isn't one question — it's four. ChatGPT, Claude, Gemini and Perplexity have different training data, different retrieval, and genuinely different opinions. A brand can be dominant on one and invisible on another.

The four profiles

• ChatGPT: large training footprint; strong Reddit absorption; answers from learned consensus unless browsing kicks in
• Claude: similar training-based consensus; tends toward cautious, hedged recommendations
• Gemini: deepest Google integration — what ranks on Google leaks hardest here, including forum features
• Perplexity: live retrieval every query; cites its sources explicitly; most immediately influenceable

The practical split: Perplexity and Gemini respond fast to current web presence; ChatGPT and Claude move with training cycles — slower, but once you're in, you're in.

The monitoring routine

Weekly (30 min, or automated):

• Run 5 fixed buyer queries per engine — same wording every week
• Log: were you mentioned? position in the answer? sentiment? which sources cited (where shown)?

Monthly:

• Map gaps to sources: for queries where you're absent, which sources did the engine use? Is your absence a presence gap (not in the threads) or a sentiment gap (present but framed negatively)?

Quarterly:

• Refresh the probe set — buyer language drifts; new comparison queries appear

The automation answer

This is exactly the kind of repetitive structured probing that should be a job, not a chore — which is why CommentSurge runs the probes and tracks the trend for you. Manual works to establish the baseline; after that you're measuring delta, and delta measurement is what machines are for.

What you can't skip is acting on it: the score tells you which threads to be in next.