Henan Maliyakkal Available for work

Case study 01REimagineHomeAEO / SEO

An AI-assisted content engine for search and answer discovery

18.7 → 10average non-brand search position: from page two to page one
Role
Led and scaled the engine
Where
REimagineHome
Focus
AEO / SEO · content operations
Data
Google Search Console · GA4 · Bing Webmaster Tools

01 · The problem

What was wrong

The blog wasn’t answering what people were actually searching for.

Content structure and search intent had drifted apart, so non-brand discovery sat on page two. The work wasn’t to write more; it was to build a way of publishing that starts from intent and keeps learning from performance.

02 · My role

What I owned

I led and scaled the whole engine.

That meant the prompt systems that turn intent into drafts, the publishing workflow, the QA checks every piece passes, and the distribution experiments across channels, measured against Search Console, GA4 and Bing Webmaster data.

03 · The system

How it works

  1. 01 · What people searchIntentStart from real queries, not topics we like.
  2. 02 · Intent → draftPrompt systemPrompts that keep structure and voice consistent.
  3. 03 · StandardisedQA checksEvery piece passes the same quality checks.
  4. 04 · WorkflowPublishA repeatable path from draft to live.
  5. 05 · Blog · Reddit · Quora · YouTubeDistributeMulti-channel experiments.
  6. 06 · GSC · GA4 · BingMeasureRead the signals, then iterate.

04 · What I built

The pieces

  1. Prompt systems that turn search intent into structured, on-voice drafts.
  2. A publishing workflow with QA checks built in, so quality stays consistent as volume grows.
  3. An AI-assisted content workflow that improved team efficiency and increased experimentation velocity.
  4. Multi-channel distribution experiments across the blog, Reddit, Quora and YouTube.
  5. A measurement loop on Google Search Console, GA4 and Bing Webmaster Tools that fed the next round.

05 · The outcome

What changed

  • 18.7 → 10average non-brand search position
  • ~9places up on average: page two to page one
  • 4channels tested: blog, Reddit, Quora, YouTube

The team published faster, with consistent quality.

How I work

Taste is the strategy. Systems are how it scales.

I treated content like a product: a clear input (intent), a system that produces it, a quality gate, and a feedback loop. The taste goes into the prompts and the checks, so it scales without me in every draft.

Hiring for this kind of work? Let’s talk.

henanmaliyakkal@gmail.comRésuméLinkedIn ↗

© 2026 Henan Maliyakkal · Bengaluru · Home · The reel