Khadija Zaman, AI Search Manager

As AI Search Manager at Wellows I own SEO, content strategy, AI-search visibility and the automation underneath them, end to end. I joined as Marketing Manager; the title changed as the work did. The goal is one thing: making brands visible wherever people search, from Google results to the answers ChatGPT, Gemini, and Perplexity now hand back directly. 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, used by 1,647 practitioners 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 that reach a large, AI-focused audience — a big share of the search impressions above comes from that authored work.

My core specialism is semantic SEO and the emerging discipline of AI search — making brands not just rank in Google, but get cited inside ChatGPT, Gemini, Perplexity, and Google AI Overviews. 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 strategy actually ships, repeatably, without a bloated team. I also test my own claims: in 2026 I rebuilt my published cross-engine citation study, ran it against a permutation null, and revised two headline findings that did not survive.

I hold a Train the Trainer certification from FranklinCovey, which shapes how I brief teams, document systems, and bring technical strategy into executive conversations.