Short answer
A crisis and reputation consultancy has announced a new platform that measures brands' visibility, perception and reputation in AI chatbots. The system examines the context in which a brand is mentioned, the tone used and where it stands against competitors, and it flags potential reputational risks. Expert consultants turn the findings into strategic recommendations.
Highlights
- itibar.ai measures brands' visibility and reputation in ChatGPT, Gemini and Claude.
- The platform combines misinformation and reputational risk analysis with competitor comparison.
- Instead of producing automated reports, the data is reviewed by expert consultants.

2 min read
StratejiCo., a crisis and reputation consultancy in Turkey, has announced itibar.ai, a new platform that measures brands' visibility on AI platforms. According to Marketing Türkiye, the platform analyses the answers given to questions put to ChatGPT, Gemini and Claude to reveal a brand's position and tone in this ecosystem, as well as potential reputational risks.
What exactly does the platform measure?
itibar.ai does not just count how many times a brand appears in AI answers; it also examines the context in which the brand is mentioned, the attributes it is associated with and where it stands relative to its competitors. The system also detects incorrect or incomplete information about the brand and the reputational risks this may create. Rather than being delivered as an automated report, the data is reviewed by expert consultants and turned into strategic recommendations.
Why does it matter for brands in Turkey?
As consumers turn to chatbots when researching brands, the boundaries of corporate reputation are extending beyond search engine results. Marketing and communications teams in Turkey should start monitoring brand perception not only in Google Search but also in AI chatbot answers; how AI 'describes' a brand during a crisis is a new area of risk that traditional media monitoring no longer covers.
As reported by Marketing Türkiye, a WPP Media report expects advertising revenue from generative AI search to grow from $5 billion in 2026 to more than $100 billion by 2030, a sign that brands should now treat visibility in the AI ecosystem as part of their marketing budgets.
- The sector research module compares competitors based on the answers given to the same user questions.
- The perception research module examines how AI frames a particular crisis or topical issue.
- The profile review module assesses how public figures are perceived in the AI ecosystem.
Frequently asked
- Does this measurement replace traditional SEO tracking?
- No; it is an additional layer on top of existing search and social media monitoring. Visibility in chatbots and visibility in search results follow different dynamics.
Sources
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