What AI Engines Actually Say About Your Brand (And How to Find Out)
Ask ten marketers what ChatGPT says about their brand and nine of them won't know. That's not an exaggeration — most companies have never systematically checked their AI visibility. They track their Google rankings religiously but have zero visibility into the AI search channel that's growing 40%+ per quarter.
The Problem with Checking Manually
You might think you can just ask ChatGPT about your brand and see what happens. There are a few problems with this approach:
- Your single query isn't representative — your customers ask dozens of different questions that might (or might not) surface your brand. Checking one prompt tells you almost nothing.
- You're only checking one engine — ChatGPT might mention you while Perplexity doesn't, or vice versa. There are five major AI engines, each with different behavior.
- Results aren't stable — ask the same question twice and you might get different answers. AI outputs have variance. You need multiple data points over time, not a single snapshot.
- You'll miss the nuance — it's not just whether you're mentioned. It's the sentiment (positive, neutral, negative), the position (first recommendation or afterthought), and the context (recommended for what, compared to whom).
What a Proper Visibility Scan Reveals
When you systematically scan your brand across all five AI engines with the prompts your customers actually use, you typically discover:
Your Visibility Score
A single number that tells you: across all the prompts that matter to your business, what percentage of the time does AI mention your brand? Most companies are shocked to find this number is lower than they expected. A 30% visibility score means AI ignores you in 70% of the conversations where your product is relevant.
Engine-by-Engine Gaps
Almost nobody is equally visible across all engines. You might be well-known on ChatGPT (large training data, your brand is established) but invisible on Perplexity (which relies on real-time search and your recent content is thin). These gaps tell you exactly where to focus.
Sentiment Patterns
Being mentioned isn't enough — it matters what AI says about you. Does it recommend you enthusiastically, mention you as one option among many, or bring you up with caveats? Sentiment tracking reveals whether your brand is being positioned as a leader or an also-ran.
Competitor Positioning
The most valuable insight is often comparative: when AI recommends your competitor instead of you, what does it say and why? These responses reveal the AI's perception of your competitive positioning — and it's often different from what you'd expect.
Citation Sources
When AI does mention your brand, where did it get that information? Tracking citations tells you which of your content assets (or third-party mentions) are actually driving your AI visibility. This directly informs your content strategy.
Common Surprises
After running thousands of scans, here are the patterns we see:
- "We're invisible on [engine] but strong on [other engine]" — the most common reaction. Cross-engine visibility is rarely uniform.
- "They recommend our competitor for the thing we're better at" — AI doesn't always get it right. If your competitor has more content on a topic, AI may default to them even if your product is objectively better.
- "The sentiment is neutral — that's worse than negative" — neutral means forgettable. AI mentions you without conviction. Negative at least means you're known.
- "Our most important prompts are the ones where we're missing" — brands are often invisible on the exact buying-intent prompts that drive revenue.
What to Do with the Data
A visibility scan isn't just an audit — it's a roadmap:
- Prioritize by engine — focus on the engines where your audience is most active and your visibility is lowest.
- Prioritize by prompt — buying-intent prompts (e.g., "best tool for X") matter more than awareness prompts (e.g., "what is X").
- Identify content gaps — if AI doesn't mention you for a specific use case, you probably lack content that addresses it specifically and authoritatively.
- Track weekly — visibility changes as AI models update, competitors optimize, and your own content evolves. One scan shows you where you stand; ongoing tracking shows whether you're improving.