Ranked on Google. Cited by AI. Scaled by automation.
I make brands visible across Google, ChatGPT, Gemini, and Perplexity, then automate execution so teams scale without scaling headcount.
The specialist behind the results
I'm Khadija Zaman — I work across SEO and GEO/AEO, and I'm Marketing Manager at Wellows. I study how search engines and LLMs retrieve and cite content, then build systems around it: SEO, content strategy, AI automation, and influencer partnerships. My work grew GSC impressions from 680K to 3.78M and LLM referral traffic 22× in 12 months.
I also build the tools that fill the gaps — three public instruments grounded in Google patent research, used by 1,647 practitioners across the UK, US, and EU, all acquired organically. A FranklinCovey Train-the-Trainer certification shapes how I brief teams and bring technical strategy into the room.
Four disciplines. One integrated system.
SEO, AI search visibility, content strategy, and marketing automation. Most teams hire separately for each. I run them as one compounding system where every discipline accelerates the others.
SEO Management
Full-program SEO ownership: technical audits, site architecture, crawl optimization, Core Web Vitals, schema, and indexation — the compounding foundations competitors take months to catch up to.
AI Search Visibility
GEO and AEO for brands that need to be cited, not just ranked. Entity frameworks, retrieval-ready content, and structured signals that surface your brand inside ChatGPT, Gemini, Claude, and Google AI Overviews.
Content Strategy
Topic cluster architecture, intent modeling, and editorial frameworks built for how AI models read authority. Content that ranks today and earns citations tomorrow — without a full production team.
Marketing Automation
LLM and n8n workflows that kill manual reporting, content overhead, and repetitive SEO tasks. Auditable systems with measurable quality, so teams scale execution without scaling headcount.
The work, not the pitch
Five projects across AEO and LLM visibility, SEO management, AI search, content, and automation, each with a clear problem, a clear approach, and numbers that hold up.
9× LLM Growth and #1–#2 Tool Rankings — Built Entirely on AEO, $0 Paid
Wellows started with near-zero LLM visibility and no citation footprint. I built measurable AI-search presence from scratch — zero paid spend.
- AEO framework. Koray Tuğberk's logic + Google's query fan-out patent for LLM retrieval.
- Citation experiments. Grounded vs. non-grounded tests tracking explicit and implicit AI visibility.
- Tool- & community-led. Three AI tools as LLM entry points; AEO across Reddit, Quora, G2; n8n + GA4 reporting.
22× LLM Traffic: Getting a SaaS Brand Cited Inside AI Answers
Wellows had Google traffic but near-zero presence inside AI answers. I applied GEO/AEO frameworks — an entity model from Google patent research, retrieval-ready content, and structured signals LLMs treat as authoritative.
1,647 Users, Zero Paid: Building Authority Signals in AI Search
No tool bridged Google's patent-level search science and AI-retrieval strategy, so I built three — Query Fan-Out Generator, LLM Query Builder, and AI Humanizer. Together they create the entity signal LLMs treat as a credibility marker.
8K to 25K Sessions: Topic Cluster Architecture for Affiliate SEO
Sessions plateaued at 8K/month despite regular publishing — topical fragmentation, not volume. I rebuilt the architecture: intent-mapped topic clusters, pillars around high-commercial queries, and deliberate internal linking. No technical overhaul.
KIVA Launch: #1 on All About AI, 447 Users, 110 Paying Signups
KIVA needed presence in a crowded AI-tools space on zero paid budget. I led the full GTM — positioning, launch content, SEO-driven distribution, and influencer partnerships — to a #1 U.S. rating on All About AI, all organic.
Tools I built to bridge search science and AI retrieval
Three instruments grounded in Google patent research, used by 1,647 practitioners worldwide, acquired entirely through organic search. Each one fills a real gap between what content teams produce and what AI systems actually cite.
Query Fan-Out Generator
Built on Google's Query Fan-Out patent research: the full semantic expansion of any seed query, so your content covers how search engines and LLMs read intent — not just keywords. Surfaces the topical gaps and the architecture to fill them first.
LLM Query Builder
Optimized query structures for LLM-based SEO research and entity mapping — for practitioners who work with AI retrieval systematically, not ad hoc. Every interaction strengthens the brand's relevance signal in GEO/AEO.
AI Humanizer Tool
Turns AI-generated drafts into content that reads naturally, holds topical depth, and aligns with how LLMs judge quality. Drives 60–72% engagement — because content AI models cite has to be genuinely useful, not just optimized.
Built on the right stack. Automated end to end.
From technical SEO and crawl analysis to AI agent building and LLM workflow engineering. Every platform chosen because it removes a bottleneck, not because it looks good on a CV.
Python for SEO & Data
I use Python to build custom SEO scripts, automate data pipelines, and process GSC API data at scale. From bulk SERP analysis to keyword clustering and log file parsing, Python replaces hours of manual work with auditable, repeatable outputs.
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
Training & Recognition
Let's make your brand
impossible to ignore.
Whether you're hiring a Marketing Manager or SEO lead, or need specialist strategy across SEO, content, and AI search, tell me what you're building. I'll respond within 48 hours with a direct read on your situation.

