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Understand your AI visibility. Decide what to do next.

Zaraftis shows brands, marketing teams and agencies how AI answers describe them. Use the dashboard with your own team, or have us do the work.

Why we’re building Zaraftis

When a buyer asks an AI assistant which product to choose, the answer can mention your brand, leave it out or describe it inaccurately. A search ranking alone does not tell you what that buyer sees. You need the answer itself, the sources behind it and a way to compare it with competing brands.

We’re building Zaraftis to connect that evidence with decisions about your website, content and presence on other sites. The goal is to help your team identify gaps, choose work worth doing and check what changed after you ship it.

Three ways to work with us.

Managed services

We do the work. What we deliver, by when and at what price is agreed before we start.

Book a call

Dashboard

Track your visibility, see who AI recommends instead, and fix what holds you back. Plans from $49 a month.

Start free trial

API and MCP

The same data and tools, inside ChatGPT, Claude or any agent that can use an MCP server. Your plan's credits pay for it, with no separate API bill.

Read the API docs

The person behind Zaraftis

Gaurav Henry

Co-Founder and CEO

Gaurav brings 20 years of experience in search and marketing to Zaraftis. He previously served as Chief Marketing Officer at Copper Digital and Head of Growth at AdCreative.ai. His work now focuses on helping B2B teams understand how AI answers represent their brands and what they can improve.

Meet Gaurav on LinkedIn

From a buyer’s question to a follow-up scan

  1. 01

    Start with relevant questions

    Your team confirms the prompts before scanning. Focus on the questions people ask when comparing options or deciding what to buy, so the findings relate to the decisions you want to understand.

  2. 02

    Inspect the answer and its sources

    Review what each engine said and which pages it cited. Compare how your brand and competitors appear, and connect the findings to the website audit and action list rather than relying on a headline score alone.

  3. 03

    Make changes, then measure again

    Use a follow-up scan to check the answers after your team ships a change. An observed improvement does not establish that the change caused it. AI answers vary, and recommendations remain the decision of each engine.

See what the product measures

The product page includes example dashboards for visibility, website audits and citations. These illustrate the workflow; they are not a customer case study or a promise of results. Inspect the product before deciding whether its evidence fits your team’s needs.

Explore the product

Coverage and measurement limits

We track ChatGPT, Google AI Overview, Claude, Gemini, Google AI Mode, Microsoft Copilot and Grok.

A scan is a snapshot of the selected prompts and engines, not a record of every answer your buyers receive. Citations and brand mentions can change between scans. Zaraftis helps you inspect those answers and prioritize improvements; it cannot control an engine’s recommendations.