Ultimate guide to tracking brand sentiment in LLMs

When a prospect asks 'Is this brand reliable?' the answer they get can close or kill the deal. Sentiment tracking is one of the highest-ROI GEO habits because many negative drivers are fixable pages — not frozen training data.

What to track

• Evaluation prompts: support quality, pricing fairness, reliability, 'is it worth it'
• Competitor contrast prompts
• Recurring phrases models use about you

Find the source of the framing

Models often aren't inventing criticism — they're repeating review sites, Reddit threads, or outdated articles. Identify which URLs get retrieved on negative answers. Correct factual errors, solicit legitimate reviews, and add clearer first-party pages for contested claims.

Separate metrics

Don't bury sentiment inside a single visibility score. A brand can be highly visible and poorly framed. Anny tracks sentiment alongside mention rate so weekly reports show both.

Operating cadence

1. Weekly scan of evaluation-prompt sentiment
2. Ticket any new toxic source
3. Outreach or content fix within the sprint
4. Confirm the answer tone improves