The work, not the pitch
Three case studies with full write-ups, covering AI-search visibility, a core update recovery, and a ranking step change, then four further results with headline figures only. Every number on this page names its source and its measurement window.
What results has Khadija Zaman delivered?
At Wellows, Khadija Zaman took LLM referral sessions from 176 a month to roughly 9× in eight months with no paid spend and grew Search Console impressions from 680K to 3.78M (last three months against the previous three). For a confidential publisher she recovered average position from 32 to 8.2 after a core update, and for a separate confidential client she grew LLM referral traffic 22× over 12 months (GA4 and Search Console).
Case studies
AI visibility from near-zero: 9× LLM traffic in 8 months on $0 paid spend
Wellows had Google traffic but near-zero presence inside AI answers and no citation footprint. I built measurable AI-search presence from scratch — an entity model from Google patent research, retrieval-ready content, and structured signals LLMs treat as authoritative — with zero paid spend. From a 176-sessions-a-month baseline, LLM referral sessions reached roughly 9× over the eight months the case study covers.
Read the Wellows AI-visibility case study →
- 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.
Losing 70% of Organic Clicks, Then Recovering to Position 8.2
A high-volume publisher lost 70% of its organic clicks in four months. Five workstreams run together — not sequenced across separate vendors — took average position from 32 back to 8.2.
Stuck Near Position 55 for Two Months, Into the 20s in Days
Flat around position 55 from July into September — not declining, which is its own problem. A mid-September step change moved the property into the 20s within days, and it held there for eleven weeks.
These four have no full write-up on this site. The figures are what I tracked in GA4 and Search Console while I owned the work; ask me for the source data in a conversation.
LLM referral growth for a confidential client
A separate engagement from the Wellows study above, measured in GA4 over 12 months. The client and the baseline are not published, so treat this as a headline figure, not a verified one.
Three SEO tools built at Wellows, zero paid
Query Fan-Out Generator, LLM Query Builder and AI Humanizer, built as LLM entry points. The counts are reconciled against Wellows’ live counter on the tools page. The LLM Query Builder’s Product Hunt launch post by Masab Gadit credits me by name.
Topic cluster architecture for an affiliate site
Sessions had plateaued at 8K a month despite regular publishing. Intent-mapped clusters, pillars around commercial queries and deliberate internal linking, with no technical overhaul. The method is written up in Topic Cluster Architecture That Actually Scales Organic Traffic.
KIVA launch: #1 U.S. rating on All About AI, all organic
Positioning, launch content, SEO-led distribution and influencer partnerships on zero paid budget.
Search Engine Land picked the tool I built at Wellows, and PipeRocket Digital had me on The Growth Show
A 94-day query fan-out experiment became a free tool, and the tool became the one Search Engine Land reached for when its guide to topic clusters for AI search needed to demonstrate the method. The article credits Wellows, not me by name; the public record of my hand in it is the COO’s LinkedIn post below.
“There are multiple query fan-out tools. For this tutorial, we’ll use Wellows.”Read Search Engine Land’s topic clusters for AI search guide →
Also listed in Search Engine Land’s query fan-out tools roundup →
- 923 → 2.12K clicks
- 62.9K → 626K impressions
Google Search Console, the fan-out experiment pages only — 11 Aug–12 Nov 2025 against the prior 94 days. A different scope from the site-wide Wellows figures in the case study above.
“How to Make Your B2B Brand Citable by AI, Not Just Rankable on Google”Watch the episode on YouTube →
PipeRocket’s announcement post → · post-show recap →
What the team said when the numbers landed
Rankings reclaimed, tools launched, links earned, and traffic moved — unedited reactions from the Wellows team channel as the work shipped. These are colleagues, not clients; named references outside Wellows are available on request.
Hiring an AI search or SEO manager?
Tell me about the role and what you're building. I respond within 48 hours with a direct read on your situation, not a sales pitch.