Run AI visibility as a repeatable service. Across every client account.

• Clients ask for AI visibility, but there is no measurable offering that sells as a retainer and can be proven month after month.
• Every mandate is handled separately: no unified view across accounts, no repeatable report, high manual effort per client.
• The proof of value is missing: the client cannot see whether work on content and product data actually moves answers and revenue.
• Approvals and claims run unregulated: published answers per client without control over rulebook, brand and legally sensitive statements.
• New clients get pitched with a promise instead of a measurable finding about the technical readability of their domain.

Why a general-purpose chat assistant is not enough here

A chatbot per client is a one-off project, not a service module. What is missing is the repeatable part: the same baseline finding across all mandates, the same rules, the same evidence in the monthly report. Klariton provides that frame, including the approval step. That nothing goes live without confirmation is not a detail towards your client, it is your safeguard.

What agencies solve with Klariton across client accounts

• I want to set up a recurring AI-readiness retainer across several client accounts. How do I standardise measurement, governance and reporting?
• A client asks: am I named in ChatGPT and Perplexity, and with what statements? How do I deliver that reliably and repeatably?
• How do I show a client with evidence that our content and data work changed answers and chat-attributed revenue?
• How do I make sure published answers per client match the rulebook and the permitted claims of that brand?
• How do I start a new mandate with a technical finding on schema, JS crawling and bot reads instead of a claim?

Which Klariton modules matter here

What improves

• AI visibility becomes a repeatable, sellable retainer service with one consistent report across all client accounts.
• Every mandate starts with a measurable AI-readiness finding instead of a promise.
• Published answers stay within rulebook, claims and approvals for each brand.
• The client sees evidence that the work moves answers and chat-attributed revenue.