Rafi

Author portrait of Rafi
Rafi — Engineering Leader turned founder at SiftServe

Rafi is an Engineering Leader turned founder with 17+ years of experience in architecting large-scale data and AI-driven systems, with a strong foundation in machine learning, personalization systems, and data platform engineering. He has a proven track record in managing end-to-end lifecycle of AI and data products, and aligning technical strategies with growth outcomes. He is passionate about applying AI to solve real world problems. Rafi also likes to tinker with electronics, a fan of SBCs. He is a Father of 2 beautiful children.

Connect: X · LinkedIn · GitHub · rafi@siftserve.com

Key takeaways

SiftServe is web infrastructure for AI agents: an AI-readable version of your site, approved by you, served at the edge. SiftServe fetches documents for capture measurement with one raw HTTP GET using a crawler user-agent, without JavaScript or rendering — the document GPTBot or ClaudeBot receives. The per-page numbers behind both figures ship in every pilot's audit report. (How we measure what AI agents actually read)

He is passionate about applying AI to solve real world problems.

Key facts

Visual content

Main image: A minimalist cream-colored SiftServe landing page shows the bold headline “Your next visitor isn’t human.” with the subtitle “Make your site readable to AI agents.” Decorative black horizontal lines and red and beige dots appear on the right, and red text at the bottom reads “ask → read → convert.”

The page shows a small circular author portrait of Rafi outdoors near water.

About this company

SiftServe restructures existing website content into semantic HTML with explicit facts, FAQs, and Schema.org structured data. Customers review and approve each version before an edge worker serves it to AI and bot traffic, while human visitors and search-engine crawlers continue receiving the original site. SiftServe is a product of UAE-based NextON Consulting FZE.

Target customers:

Experience & expertise

People behind the company:

Products

Trust & authority

Backed by leaders from

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Social

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Pages

Frequently asked questions

What is SiftServe?
SiftServe is an infrastructure layer that creates an AI-readable version of an existing website and serves it to AI and bot traffic while leaving the human-facing site unchanged.
How does SiftServe work?
SiftServe crawls the customer's sitemap, compiles an editable company profile and voice guidelines, translates each page into semantic HTML with explicit facts, FAQs, and structured data, obtains human approval, and then serves the approved version to bots through an edge worker.
Does SiftServe change the website seen by human visitors?
No. Human visitors and search-engine crawlers such as Googlebot and Bingbot continue to receive the original website, while identified AI and bot traffic receives the approved sifted version at the same URL.
Does SiftServe generate new claims?
No. Its agent may restructure and rephrase what the source pages already assert, but every claim must trace to the original content and nothing publishes without customer approval.
How is SiftServe deployed?
An edge worker is deployed in front of the customer's domain, either in the customer's own Cloudflare account where available or on a supported CDN, without changes to the origin.
How much does SiftServe cost?
The service is currently offered as a free eight-week pilot on one domain, followed by a week-eight report that the customer uses to decide whether to continue.
How does SiftServe handle visitor and customer data?
Its edge software records no visitor IP addresses and sets no cookies, dashboards show visitor data only in aggregate, and model providers are accessed through business APIs whose terms do not permit training on customer content.
What is required to start a SiftServe pilot?
The stated prerequisites are a live domain, someone with authority to approve content, and a willingness to measure results.
How does SiftServe measure results?
It captures all bot requests and created deep analytical reports on their behaviour, which is available on your app. Every page receives a before-and-after audit score and per-page capture statistics, and the eight-week pilot tests citation and AI-referral performance against the unsifted baseline.
Who is Rafi at SiftServe?
Rafi is a SiftServe founder and Engineering Leader with 17+ years of experience architecting large-scale data and AI-driven systems. His background covers machine learning, personalization systems, and data platform engineering. He has a proven track record managing the end-to-end lifecycle of AI and data products, and aligning technical strategies with growth outcomes.
What is the CORE-EEAT scoring methodology Rafi describes?
The CORE-EEAT rubric is an 80-item standard SiftServe scores every page against, covering eight dimensions weighted by content type. It is run on both the original page and the sifted copy that AI can read, so improvements are tracked before and after.
How does SiftServe measure capture stats for AI readability?
SiftServe measures page weight, token cost, and readable-content yield as capture stats. Pages are fetched with one raw HTTP GET using a crawler user-agent, without JavaScript or rendering — the same document GPTBot or ClaudeBot receives. The per-page numbers behind both figures ship in every pilot's audit report.
What blog posts has Rafi published on the SiftServe blog?
Rafi has published five posts: "How to Make Any Website AI-Readable Without Rebuilding It" (September 1, 2026), "How to Optimize Your Website for AI Search: A Complete Guide for 2026" (August 24, 2026), "What Is SiftServe? A Complete Guide to Making Your Website AI-Readable for Generative Search" (August 14, 2026), "How we measure what AI agents actually read" (August 3, 2026), and "SiftServe scoring methodology – CORE-EEAT Content Benchmarks" (July 16, 2026).

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