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Khadija Zaman is AI Search Manager at Wellows, a Disrupt.com company, based in Karachi, Pakistan.

Visible in search.
Cited by AI.
That's modern SEO.

I'm Khadija Zaman, AI Search Manager at Wellows, with 8 years in search across agency and in-house roles. I get brands found on Google and cited inside ChatGPT, Gemini, Perplexity, and AI Overviews, then automate the work so visibility compounds instead of resetting every month.

LLM referral sessions at Wellows, 8 months, from 176/month (GA4)
680K→3.78M
Google impressions, 3 months vs the previous 3
1,647
practitioners using the SEO tools I built

Figures updated 9 Sep 2026 · GA4 and Search Console

Method I ran a permutation null against my own published citation study and revised two headline findings that failed it. How I tried to break my own study →

Featured in Search Engine Land — its guide to topic clusters for AI search runs on the Query Fan-Out Generator I built at Wellows. The article credits Wellows; the COO’s post on the experiment behind it names me.

Podcast The Growth Show by PipeRocket Digital — “How to Make Your B2B Brand Citable by AI, Not Just Rankable on Google”, 25 June 2026.

Khadija Zaman, AI Search Manager
How do I structure topic clusters for AI search? Search Engine Land guide
The guide runs on the Query Fan-Out Generator I built
Khadija Zaman, AI Search Manager
  • Google
  • ChatGPT
  • Gemini
  • Perplexity
  • AI Overviews

How do I structure topic clusters for AI search? Search Engine Land

What does Khadija Zaman do?

Khadija Zaman runs SEO, AEO and GEO as one system at Wellows, so a brand ranks on Google and is cited inside ChatGPT, Gemini, Perplexity and AI Overviews. At Wellows that took LLM referral sessions from 176 a month to roughly nine times that in eight months with no paid spend (GA4, July 2025 to February 2026).

Selected Work

The work, not the pitch

Three case studies with full write-ups, and four further results with headline figures only. Every number names its source and its window.

AEO / LLM Visibility · Case study
9× LLM sessions in 8 months

AI visibility from near-zero: 9× LLM traffic in 8 months on $0 paid spend

Wellows, in-house, Jul 2025 – Feb 2026. LLM referral sessions from a 176/month baseline; average position 28.9 → 17.3. GA4 and Search Console.

Read the case study →
SEO Management · Case study
Position 32 → 8.2

Losing 70% of organic clicks, then recovering to position 8.2

A high-volume publisher, confidential. Five workstreams run by one owner. Search Console, 12 months to May 2026.

Read the case study →
Content Strategy · Case study
Position 55 → 20s, held 11 weeks

Stuck near position 55 for two months, into the 20s in days

Confidential property. A mid-September step change that held for eleven weeks. Search Console, July – November 2025.

Read the case study →
Brand Authority · Summary
1,647 users, zero paid

Three SEO tools built at Wellows, acquired entirely through organic search

Query Fan-Out Generator, LLM Query Builder, AI Humanizer, all live on Wellows, plus six open-source SEO projects on GitHub. Headline figures only, reconciled on the tools page.

Content Strategy · Summary
8K → 25K monthly sessions

Topic cluster architecture for an affiliate site, six months

Intent-mapped clusters and internal linking, no technical overhaul. Headline figures only; no full write-up on this site.

AEO / LLM Visibility · Summary
22× LLM referral traffic, 12 months

LLM referral growth for a confidential client

A separate engagement from the Wellows study. GA4; the client and baseline are not published. Headline figure only; no full write-up on this site.

Product Launch · Summary
447 users · 110 paying signups

KIVA launch: #1 U.S. rating on All About AI, all organic

Positioning, launch content, SEO-led distribution and partnerships. Headline figures only; no full write-up on this site.

What I Do

AI search visibility, and the SEO that makes it land

Getting a brand cited inside ChatGPT, Gemini, Perplexity and AI Overviews is the job. Semantic SEO, content architecture and automation are what make the citations arrive and keep arriving.

01

AI Search Visibility (GEO / AEO)

Entity frameworks built from Google's query fan-out patent and Koray Tuğberk's semantic model, so content is structured the way retrieval systems select and quote it. Grounded versus non-grounded citation experiments that track explicit citations and implicit brand mentions separately, because they move independently. Free tools built as LLM entry points, answers placed where models read (Reddit, Quora, G2), and LLM referral traffic segmented in GA4 so the result is measured, not assumed.

The method is public: the retrieval-readiness checklist, how SEO, AEO and GEO sequence, and the study I tried to break.

02

Semantic & Technical SEO

What gets a page retrieved in the first place: site architecture, crawl and indexation governance, schema, Core Web Vitals, and the semantic coverage that makes a domain the obvious source on its topic.

03

Content Architecture

Topic clusters and intent mapping built for how models interpret authority, so a site earns citations across a topic rather than on one lucky page.

04

Measurement & Automation

Python, BigQuery and n8n pipelines that pull GA4 and Search Console data, segment LLM referrals, and report without anyone exporting a spreadsheet. Auditable, so a number can be checked.

Hiring

Hiring an AI search or
SEO manager?

Full-time or contract, in-house. Tell me about the role and what you're building. I reply within 48 hours with a direct read, not a pitch.