# Case Studies · SEO & AI Search Results — Khadija Zaman > Three case studies with full write-ups and four further results. LLM referral sessions 9× in 8 months at Wellows and 22× in 12 months for a confidential client (GA4), a core update recovery to position 8.2, 1,647 tool users. Source: https://khadijazaman.com/work/ [Home](/) / Work # 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 AEO / LLM Visibility · Featured Wellows · Jul 2025 – Feb 2026 · Source: GA4 / Looker Studio / GSC 9× LLM Referral Sessions, 8 Monthsfrom 176/month · GA4 680K→3.78M Google Impressions, 3 Months vs Previous 3 28.9→17.3 Avg. SERP Position $0 Paid Spend ### 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 →](/work/wellows-ai-visibility/) - **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. Search growth · GSC-verified (Wellows + AllAboutAI author pages) [![Wellows Google Search Console: 7.27K clicks and 3.78M impressions over the last 3 months, average position improving from 28.9 to 17.3](/static/uploads/gsctrafficgrowth.png)](/static/uploads/gsctrafficgrowth.png) *Wellows, site-wide — 7.27K clicks · 3.78M impressions · avg. position 28.9 → 17.3 (last 3 months vs. previous)* [![AllAboutAI author Google Search Console year over year: clicks 10.7K to 23.6K and impressions 275K to 928K, 2025 vs 2024](/static/uploads/recognition/author-pages-yoy.jpg)](/static/uploads/recognition/author-pages-yoy.jpg) *AllAboutAI author pages — year over year: 10.7K → 23.6K clicks · 275K → 928K impressions (2025 vs. 2024)* SEO Management 32→8.2 Avg. Position −70% Clicks Lost First 5 Workstreams, One Owner ### 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. [Read the core update recovery case study →](/work/core-update-recovery/) Content Strategy 55→20s Position Band 11 wk Held After Step Change 28.8 Position, 29 Nov ### 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. [Read the position 55 to 20s case study →](/work/ranking-breakthrough/) Four more results · headline figures only 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. AEO / LLM Visibility 22× LLM referral traffic, 12 months ### 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. Brand Authority 1,647 Tool users, three tools combined 100% Organic acquisition ### 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](/tools/). The LLM Query Builder’s [Product Hunt launch post](https://www.linkedin.com/posts/masab-gadit_producthunt-aisearch-seo-activity-7399797741079412736-_oZC) by Masab Gadit credits me by name. Content Strategy 8K→25K Monthly sessions, six months ### 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](/blog/topic-cluster-architecture/). Product Launch 447 Launch-month users 110 Credit-card signups ### 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. Featured In ## 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. ◆ Search Engine Land > “There are multiple query fan-out tools. For this tutorial, we’ll use Wellows.” From **“How to find fan-out queries”** — the tutorial walks readers through opening the **Wellows Query Fan-Out Generator** and running each cluster topic through it. Written by Jolissa Skow · Edited by Pat Goggins [Read Search Engine Land’s topic clusters for AI search guide →](https://searchengineland.com/guide/topic-clusters-for-ai-search) [Also listed in Search Engine Land’s query fan-out tools roundup →](https://searchengineland.com/guide/query-fan-out-tools-software) [![Search Engine Land article section ‘How to find fan-out queries’ instructing readers to run each cluster topic through the Wellows Query Fan-Out Generator](/static/uploads/recognition/search-engine-land-query-fan-out.png)](/static/uploads/recognition/search-engine-land-query-fan-out.png) *Search Engine Land — “Run each cluster topic through Wellows.” The 6,849 on the panel is Wellows’ live lifetime counter for the tool, not the 829 from my own tracking period.* [![LinkedIn post by Muhammad Saleem Ahrar, COO at Wellows, describing a 94-day Query Fan-Out experiment run with Khadija Zaman, with Google Search Console showing clicks rising from 923 to 2.12K and impressions from 62.9K to 626K](/static/uploads/recognition/query-fan-out-linkedin-origin.png)](https://www.linkedin.com/posts/saleemahrar_i-have-always-believed-that-when-you-want-activity-7395425630474907648-Zn_i) *Muhammad Saleem Ahrar, COO at Wellows, posting the experiment’s before-and-after on LinkedIn. [Read Muhammad Saleem Ahrar’s LinkedIn post →](https://www.linkedin.com/posts/saleemahrar_i-have-always-believed-that-when-you-want-activity-7395425630474907648-Zn_i)* ◆ How it started Before the tool existed there was a **94-day query fan-out experiment** I ran with Wellows COO **Muhammad Saleem Ahrar**. He [posted the before-and-after publicly](https://www.linkedin.com/posts/saleemahrar_i-have-always-believed-that-when-you-want-activity-7395425630474907648-Zn_i), naming me: - **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. We turned the method into a free tool so other practitioners could apply it directly — and that is the tool Search Engine Land picked up. ◆ The Growth Show · PipeRocket Digital > “How to Make Your B2B Brand Citable by AI, Not Just Rankable on Google” Podcast guest, **25 June 2026**. A live session with PipeRocket Digital, a B2B growth agency, on GEO and AI citability: why a page that ranks on Google is not automatically a page an AI answer cites, and what to change so it is. [Watch the episode on YouTube →](https://www.youtube.com/watch?v=DkiHV0XOpdQ) [PipeRocket’s announcement post →](https://www.linkedin.com/posts/piperocket-digital_your-buyers-are-no-longer-googling-theyre-activity-7470485311484104704-msbR) · [post-show recap →](https://www.linkedin.com/posts/piperocket-digital_we-just-wrapped-one-of-the-most-timely-growth-activity-7478463519999516673-BUs_) [![The Growth Show by PipeRocket Digital, episode titled How to Make Your B2B Brand Citable by AI, Not Just Rankable on Google, featuring Khadija Zaman, 25 June 2026](https://i.ytimg.com/vi/DkiHV0XOpdQ/hqdefault.jpg)](https://www.youtube.com/watch?v=DkiHV0XOpdQ) *The Growth Show, 25 June 2026. Opens on YouTube.* Recognition ## 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. [![Wellows ranking #1 for ‘query fan-out generator’, surpassing competitors](/static/uploads/recognition/ranking-query-fan-out.png)](/static/uploads/recognition/ranking-query-fan-out.png)[![LLM Query Builder by Wellows pre-launch dashboard](/static/uploads/recognition/llm-query-builder-launch.png) ](/static/uploads/recognition/llm-query-builder-launch.png)[![Organic traffic growth from 15,623 to 21,569](/static/uploads/recognition/traffic-growth.png) ](/static/uploads/recognition/traffic-growth.png)[![DR 83 natural backlink earned](/static/uploads/recognition/dr-83-backlink.png) ](/static/uploads/recognition/dr-83-backlink.png)[![GSC custom regex workflow for optimizing landing pages against real search queries](/static/uploads/recognition/gsc-regex-workflow.png) ](/static/uploads/recognition/gsc-regex-workflow.png)[![High-authority link placement from allaboutai.com](/static/uploads/recognition/allaboutai-authority-link-1.png) ](/static/uploads/recognition/allaboutai-authority-link-1.png)[![High-authority link placement from allaboutai.com](/static/uploads/recognition/allaboutai-authority-link-2.png) ](/static/uploads/recognition/allaboutai-authority-link-2.png)[![High-authority link placement from allaboutai.com](/static/uploads/recognition/allaboutai-authority-link-3.png)](/static/uploads/recognition/allaboutai-authority-link-3.png) Work With Me ## 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. [Start a Conversation →](/contact/) [Read my CV](/cv/) --- Markdown twin of https://khadijazaman.com/work/, generated from the rendered page at build time. Cite the HTML URL. How to cite: https://khadijazaman.com/llms.txt