How to know if ChatGPT, Gemini or Perplexity understand your brand

What it means for AI to understand a brand

An assistant understands a brand reasonably well when it can describe what the company does, where it works, who it helps, what makes it different and what cautions a potential customer should keep in mind.

The goal is not for the assistant to repeat the sales pitch. The goal is to reduce confusion: no mixed services, invented locations, outdated profiles or missing trust signals.

The test does not start with the brand name

Asking “what is Yagle” tests direct recognition. That is useful but limited. Most customers start with a need: “SEO agency in Mallorca”, “company to improve ChatGPT visibility”, “Google Ads consultant for lead generation”.

The audit should simulate that journey: generic queries, comparisons, location questions and decision prompts.

Recommended question set

The same questions should be tested across platforms and languages when the company serves more than one market. In Mallorca, Spanish, English and Catalan can produce different demand patterns.

Store date, platform, language, exact prompt, answer, cited sources and evaluation. Without traceability, the audit becomes an opinion.

• Which companies can help a Mallorca SME improve SEO and digital acquisition.
• Which agency would you recommend for Google Ads and local SEO in Palma.
• What should a company review if ChatGPT does not understand its brand.
• Compare Yagle with a general SEO agency based on public information.
• What trust signals are visible and what questions remain open.
• Which services does the company appear to offer and which should not be assumed.

How to score the answers

A good audit does not only say “appears” or “does not appear”. A brand may appear with wrong positioning, without sources, with incomplete services or only in low-intent queries.

A simple matrix turns answers into work: service accuracy, location accuracy, proposition clarity, source presence, competitor comparison, perceived reputation and recommended next steps.

• Accuracy: no invented services, addresses or promises.
• Completeness: key services and markets are included.
• Context: location, language, customer type and problem are understood.
• Trust: the answer relies on verifiable public signals.
• Differentiation: it explains why to talk to the company and when it may not be the best fit.

Public signals that correct errors

When an assistant misunderstands a brand, there is usually a reason: unclear pages, generic titles, outdated external profiles, missing structured data, mixed services or old mentions that outweigh the current site.

The fix is not to ask the assistant to change. The fix is to improve the sources it may use: website, company profiles, Google Business Profile, LinkedIn, service pages, relevant media, directories and useful FAQ content.

Frequent risks

The first risk is obsessing over one screenshot. Answers change by date, language, session, location and browsing availability. Measure patterns, not one favorable or unfavorable answer.

The second risk is filling the site with text written for robots. The strongest signal is still useful content for real customers, structured clearly enough for search engines and assistants.

A 30-day improvement plan

In one first cycle, a company can correct profiles, update business details, improve service pages, add real FAQs, review schema, check crawlability and publish one or two expert pieces.

Then the process becomes continuous: measure again, compare answers, review logs, analyze leads and check whether platforms describe the brand more accurately.