Brand perception in AI Search
For a large brand, being mentioned is rarely the problem. The problem is an answer that quotes last year's pricing, names a product you retired, or tells a buyer you only serve small companies. We check what AI says about you, trace every wrong statement to its source, and get that source fixed.
What we check, and what we do about it
Every answer an engine gives about you is built from sources. That is the part you can change.
Facts
Is what AI says about you true?
We ask the engines the questions your buyers ask about you, by name, and compare every answer against your own price list, product pages and facts. A wrong price or a retired product name in an AI answer does not look like a bug to a buyer. It looks like what you are.
Facts checked against your own sources
- Pricing
- Plans, tiers and what they include
- Products
- Current names, nothing discontinued
- Reach
- Markets, languages and locations
- Company
- Size, ownership and certifications
Perception
How you come across next to your competitors
Beyond the facts, we read what the answers say you are known for, the tone they take, and the objections they raise against you. Then we compare that with what they say about your competitors, and across engines, because ChatGPT and Gemini rarely describe a brand the same way.
Gemini on one of our clients, a project management tool, next to its larger competitors. Each strength comes with its sources, here a Reddit thread and the client's own security page. That is where perception can be worked on. Read for compared with your competitors
- Sentiment
- What you are known for
- Objections it raises
- Consistency across engines
The fix
When it is wrong, we fix the source
How this fits into AI Search →An answer that gets your facts wrong is almost always repeating a source: an old page on your own site, a review profile nobody updated, a directory listing or an article from two years ago. We correct your own pages first, get the third-party ones updated where we can, and keep re-running the prompt until the answer changes.
When it is wrong we fix the source
- Find the page the wrong claim was cited from
- Correct it on your own site first
- Get profiles, listings and third-party articles updated
- Re-check the prompt until the answer changes
Questions about brand perception
What do you do when an AI engine says something wrong about us?
We find where it came from first. We check the sources the engine cited for that prompt, correct your own pages first, get the third-party ones updated where we can, and keep re-running the prompt until the answer changes. Tone works the same way: if an engine keeps raising the same objection, there is usually a thread or a review behind it that is worth answering.
Can we just tell ChatGPT the right facts?
Not in a way that sticks for your buyers. What an engine says to them is built from the sources it finds when they ask, so the lasting fix is in those sources: your own pages, your profiles, and what others have written about you.
Is this part of your AI Search work?
Yes. Brand perception runs inside our AI Search work, on the same prompt set we use for visibility monitoring.
