How Emil Rosenblatt grew AI mentions by 153% in under 3 months
A senior tech recruiter's site went from invisible to AI engines to being consistently recommended - without rewriting a single page.
Emil Rosenblatt
Senior Tech Recruiter · Israel
The results
More times cited in AI conversations
More daily visitors arriving from AI tools
Time to consistent growth
Real data from the LovedByAI dashboard showing mention and visitor growth over less than 90 days.
Emil Rosenblatt is one of Israel's leading executive headhunters in tech - specializing in placing VP, CTO, CEO, and senior management candidates. His site is packed with deep professional content. The goal: when a hiring manager asks ChatGPT about senior tech recruitment, Emil's name comes up first.
The starting point
Emil had a WordPress site full of excellent content - in-depth guides on recruiting VPs, CTOs, and CEOs. The content was strong. The problem was that AI couldn't read it clearly.
When a hiring manager asked ChatGPT “who's the best executive recruiter in Israel?” - Emil didn't show up. Not because the content was missing, but because the site lacked structured data defining who he is and what he does, Q&A-formatted headings, and an LLMs.txt file summarising the site for AI.
The site worked perfectly for human visitors. All it needed was to become readable for AI engines too.
What changed
LovedByAI scanned the site and applied changes automatically. Here's what it did:
Descriptive Q&A-formatted headings
AI engines look for pages that answer questions - not just present content. LovedByAI rewrote headings into the format AI recognises instantly: a title that clearly explains what the page answers, not just what it's called. When a heading says “Services” - AI skips it. When it says “What recruitment services does Emil offer?” - AI cites it.
Visitors see nothing different. The original page is completely unchanged. LovedByAI creates a separate version that only AI crawlers see - with headings phrased as questions AI knows how to answer.
Hidden changes: Schema & Meta Tags
Behind the scenes, LovedByAI adds two layers that visitors never see - but AI always reads:
Structured code that tells AI explicit facts: who Emil is, what he does, what services he offers. Without it, AI guesses. With it, AI cites with confidence.
Meta tags written specifically for AI crawlers - not just Google. Titles and descriptions that tell AI exactly what the page is about, with full context.
Auto-generated Q&A sections
When ChatGPT looks for an answer to a question, it prefers pages that already answer it directly. LovedByAI analyses the site's content and generates relevant Q&A pairs - so when AI crawlers scan the site, they find ready-made answers they can cite.
Automatic LLMs.txt file
LLMs.txt is like a briefing document for AI - a file that sits on the site and tells AI: “who Emil is, what he does, which pages matter most.” LovedByAI generates it automatically and keeps it updated every time the site changes. You can also edit it manually.
Why it matters
AI doesn't browse a site like a human. It doesn't scroll, doesn't read between the lines, and doesn't pick up on hints. It scans the code, looks for structure, and asks: can I confidently say what this page is about? If not - it moves on.
Emil didn't rewrite anything. He didn't hire a developer. He didn't change his design. He installed a plugin - and in under 3 months his site appeared in 153% more AI conversations, with 52% more visitors arriving directly from AI tools.
For business sites, consultants, and personal brands - this is exactly the gap.
Your content is probably good. The issue is that AI can't read it clearly enough to recommend you.
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