AI Brand Sentiment Audits: Know How AI Describes Your Brand
AI tools form a view of your brand and hand it to your customers every day. Find out what ChatGPT, Gemini and Google's AI actually say about you, then I'll show you how you're seen and where to act.
The story AI tells about you is already being written
Cross-model sentiment baseline
I run an expanded set of prompts across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and Google AI Mode, rather than a single question. The same brand gets a different answer for different people, so widening the prompts filters out the one-offs and surfaces the patterns that hold true. That gives you reliable directional data instead of a lucky screenshot.
Narrative and theme analysis
Tone is only half the picture. I pull out the recurring stories AI repeats about you: the strengths it praises, the criticisms it keeps raising, and the comparisons it reaches for. Knowing the narrative tells you which themes to reinforce and which to correct before they harden into the default answer.
Competitor sentiment benchmarking
Your sentiment means little without context. I benchmark how AI describes your closest competitors, so you can see whether a favourable or negative tone is specific to you or common across the category. This often uncovers a clear gap you can claim, or a weakness rivals are quietly winning on.
Source and citation tracing
Sentiment always traces back to something. I follow the mentions and citations to the actual pages, reviews and sources feeding each model's view of you, so the cause is named, not guessed. That gives you a short, practical list of what to fix, reach out to, or publish.
Brand sentiment audit FAQs
How is this different from a brand monitoring tool?
Tools like Brandwatch or BrandMentions give you a dashboard and leave the thinking to you. I give you a human-led audit: I read the responses, judge the tone, explain what's driving it, and hand you an action plan. You're paying for interpretation and a clear next step, not another subscription to manage.
Which AI models and platforms do you check?
I cover the engines buyers actually use: ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and Google AI Mode, plus the wider web sources these models pull from. If your audience leans on a particular tool or market, I weight the audit towards it.
How often should I re-audit sentiment?
A quarterly check suits most brands, since AI responses shift as new content, reviews and coverage appear. If you're mid-launch, managing a reputation issue, or actively reshaping how you're described, monthly makes more sense. I'll recommend a rhythm based on how fast your category moves.
Can you help fix negative sentiment once it's found?
Yes. The audit is the starting point, and the work after it is where the value sits. I help you correct misleading sources, publish content that reframes the narrative, and improve how you appear in AI answers. It's worth pairing this with a check on whether AI gets its facts right.
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