Khadija Zaman, AI Search Manager
Khadija Zaman is AI Search Manager at Wellows, a Disrupt.com company, based in Karachi, Pakistan. She has worked in search since 2018, in agency and in-house roles, and since 2024 has owned the SEO, content and AI-search (GEO/AEO) programs at Wellows. She builds SEO tooling grounded in Google patent research: three tools with 1,647 users in her tracking period.
As AI Search Manager at Wellows I own SEO, content strategy, AI-search visibility and the automation underneath them, end to end. I moved into the AI Search Manager role in April 2024, when webAffinity became Wellows, after two years as Marketing Manager at webAffinity. Search Console impressions went from 680K to 3.78M, the last three months against the previous three, and over eight months LLM referral sessions went from a 176-a-month baseline to roughly 9× (GA4); the case study shows the working. For a separate, confidential client, LLM referral traffic grew 22× over 12 months (GA4).
I also build the tools that fill gaps in the space: three public instruments at Wellows grounded in Google patent research, with 1,647 users in my tracking period across UK, US, and EU markets, acquired entirely through organic search. The engines and surrounding tooling are open source on GitHub; the full list is on the tools page.
Beyond in-house work, I write as a bylined contributor at AllAboutAI.com, publishing SEO and AI-search articles. Search Console for my author pages there shows clicks growing from 10.7K to 23.6K and impressions from 275K to 928K, 2025 against 2024; those figures are separate from the Wellows numbers above. Every profile and byline I keep is listed on my profiles page.
My core specialism is semantic SEO and AI search: getting brands cited in ChatGPT, Gemini, Perplexity and AI Overviews as well as ranked in Google. How I sequence that work, one engine at a time, is on my page about AI search optimization. The scoring models behind that work are public: the R2A Content Framework and its BERAP Map. I pair that with hands-on automation (Python, BigQuery, n8n, LLM orchestration) so the work runs without manual reporting. My cross-engine citation study (January to June 2026) found that 79.6% of websites cited by AI engines appeared on one engine only.
- ChatGPT
- Gemini
- Perplexity
- AI Overviews
I hold a Train the Trainer certification from FranklinCovey, which shapes how I brief teams, document systems, and bring technical strategy into executive conversations.
Quick answers
Who is Khadija Zaman?
AI Search Manager at Wellows, a B2B SaaS company owned by Disrupt.com, based in Karachi, Pakistan. In search since 2018, in agency and in-house roles; since 2024 she has owned the SEO, content and AI-search (GEO/AEO) programs at Wellows.
What has she built?
Three SEO tools at Wellows grounded in Google patent research, with 1,647 users across the three in her tracking period and no paid acquisition. Search Engine Land uses one of them, the Query Fan-Out Generator, in its guide to topic clusters for AI search. She also published a cross-engine AI citation study, which found that 79.6% of cited websites appeared on one AI engine only. In June 2026 she was a guest on The Growth Show by PipeRocket Digital, on making B2B brands citable by AI.
Where is she based, and is she available?
Karachi, Pakistan. Open to full-time and contract in-house roles as an AI search or SEO manager, remote or in Karachi. Enquiries get a reply within 48 hours.
You read a biography. A crawler reads this.
Every page on this site declares who wrote it in structured data, using one identifier for one person. The panel beside this text is printed from this page's own JSON-LD each time it loads, so it shows the same fields a crawler reads when it parses the page.
The same entity carries the profiles I control. The full list, with the mentions that aren't mine to claim, is on my profiles page.
{
"@id": "https://khadijazaman.com/#person",
"@type": "Person",
"name": "Khadija Zaman",
"jobTitle": "AI Search Manager",
"worksFor": {
"@type": "Organization",
"name": "Wellows"
},
"address": {
"addressLocality": "Karachi",
"addressCountry": "PK"
},
"knowsAbout": [
"Search Engine Optimization",
"Generative Engine Optimization",
"Answer Engine Optimization",
"Semantic SEO",
"Query Fan-Out",
"Content Strategy",
"Marketing Automation"
],
"sameAs": [
"https://www.linkedin.com/in/khadija-zaman-2628751b1/",
"https://github.com/KhadijaZaman",
"https://x.com/KhadijaZaman7",
"https://www.allaboutai.com/author/khadija-zaman/",
"https://substack.com/@khadijazaman",
"https://www.instagram.com/khadijazaman.aiseo/",
"https://www.facebook.com/khadijazaman.aiseo"
]
}8 years in search, since 2018
Agency technical SEO, then content, then in-house ownership.
Training & Recognition
The stack I use day to day.
From technical SEO and crawl analysis to AI agent building and LLM workflow engineering.
Python for SEO & Data
I use Python to build custom SEO scripts, automate data pipelines, and process GSC API data at scale. I also use it for bulk SERP analysis, keyword clustering, log-file parsing, and the GSC, GA4 and BigQuery pulls I'd otherwise do by hand.
AI Agent Building
Trained in AI agent architecture at NUST's AI Boot Camp. I build multi-step LLM agents for content production, SEO research, and automated reporting, connecting OpenAI and Claude APIs to real-world data sources via n8n and Python orchestration.
SEO Platforms
Analytics
Automation & AI
Development
Let's build something that ranks and gets cited.
Client project or in-house role, tell me what you're building. I reply within 48 hours with a direct read on your situation.