# Topical Map · What This Site Covers, and What It Does Not Yet — Khadija Zaman

> The central entity of khadijazaman.com, AI search visibility, decomposed into entity and attribute pairs, split between a commercial core and a trust-building outer section, with each node marked built or not yet.

Source: https://khadijazaman.com/topical-map/  ·  Last modified: 2026-09-10

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# What this site covers, and what it does not yet

One central entity, **AI search visibility**, decomposed into entity and attribute pairs. The core is the commercial half a hiring manager judges; the outer section is the trust that makes the core checkable. Every node says whether a page exists. The unbuilt ones are the roadmap.

## What is the central entity of khadijazaman.com?

The central entity of khadijazaman.com is AI search visibility: getting a brand found on Google and cited inside ChatGPT, Gemini, Perplexity and AI Overviews, run with SEO, content architecture and measurement as one system. The site covers 26 entity-attribute pairs, 19 of them with a page behind them, split 65% commercial core to 35% trust-building outer section.

26

entity-attribute pairs

19

built, with a page behind them

7

not built yet, listed on purpose

65 / 35

core / outer split (target 65 / 35)

**Source context.** Khadija Zaman, AI Search Manager at Wellows, publishing what she has measured, built and been wrong about, so a hiring manager or client can check the work. **Definition.** Getting a brand found on Google and cited inside ChatGPT, Gemini, Perplexity and AI Overviews, run with SEO, content architecture and measurement as one system.

CORE · 17 pairs

## Core: what the work produces

The commercial half. Each pair here is something a hiring manager or client is judging: a result with a source, a method that can be repeated, or a tool that exists.

### AI search visibility

-   built
    
    [LLM referral growth, measured](/work/wellows-ai-visibility/)
    
    9× in 8 months from 176/month, GA4
    
-   built
    
    [Retrieval-ready content checklist](/blog/get-cited-by-ai-search/)
    
-   built
    
    [Query fan-out as the expansion model](/tools/query-fan-out/)
    
    Free explorer, plus the Wellows generator used by Search Engine Land
    
-   built
    
    [Tools as LLM entry points](/tools/)
    
-   not yet
    
    Grounded vs non-grounded citation experiments, the method
    
    Described inside the Wellows case study; needs its own write-up with the protocol
    
-   not yet
    
    Distribution on the surfaces models read (Reddit, Quora, G2)
    
    Named in the case study; no page shows the placement method or its measurement
    
-   not yet
    
    LLM referral segmentation in GA4, the setup
    
    Which sources count, how the segment is built, how it is reported
    

### SEO management

-   built
    
    [Core update recovery, five workstreams run together](/work/core-update-recovery/)
    
    Position 32 → 8.2, Search Console
    
-   built
    
    [AI Overview absorption, read from position vs CTR](/work/core-update-recovery/)
    
    Labelled as an inference on the page
    
-   not yet
    
    Technical SEO: crawl, indexation, schema, Core Web Vitals
    
    Claimed on the homepage; no page shows an audit or a fix
    
-   built
    
    [Internal linking, AI-assisted](/tools/#open-source)
    
    Open-source Internal Link System; no case or post yet
    

### Content architecture

-   built
    
    [Topic cluster architecture](/blog/topic-cluster-architecture/)
    
-   built
    
    [Ranking step change that held](/work/ranking-breakthrough/)
    
    Position 55 → 20s, held 11 weeks
    
-   not yet
    
    Semantic SEO framework (Koray Tuğberk's model) applied
    
    A credential on the About page; no page shows it applied to a site
    

### Measurement and automation

-   built
    
    [Provenance for every published number](/sources/)
    
-   not yet
    
    Reporting pipeline: n8n, GA4, BigQuery, Looker
    
    Named in the case study; the pipeline itself is not shown
    
-   built
    
    [Open-source tooling (six repositories)](/tools/#open-source)
    

OUTER · 9 pairs

## Outer: what makes the core believable

The trust half. Definitions, studies, corrections and context. Wider than deep on purpose; each pair exists so the core can be checked, not so it can be sold.

### Definitions

-   built
    
    [SEO vs AEO vs GEO, and the order to build them](/blog/geo-aeo-vs-seo/)
    
-   built
    
    [What query fan-out is](/tools/query-fan-out/)
    
-   not yet
    
    Glossary of AI search terms (citation, grounding, entity, retrieval)
    

### Studies and corrections

-   built
    
    [Cross-engine citation study, re-tested against a permutation null](/blog/breaking-my-own-study/)
    
    Two findings retracted
    
-   built
    
    [The original citation overlap study](https://wellows.com/blog/ai-citation-overlap-study/)
    
    On the Wellows blog
    
-   built
    
    [The 94-day query fan-out experiment](/work/#press)
    
    Posted publicly by Wellows' COO
    

### Who is behind it

-   built
    
    [Who Khadija Zaman is](/about/)
    
-   built
    
    [CV with sources](/cv/)
    
-   built
    
    [How to cite this site, and what it offers machines](/llms.txt)
    
    llms.txt, answers.json, agents.json, markdown twins
    

Every post and case study on this site carries a *core* or *outer* badge that matches this map. The map is a data file in the site's source, so a new page is added here in the same commit that creates it. Machine-readable interfaces, including this site's [answer index](/answers.json) and [provenance registry](/provenance.json), are declared at [/.well-known/agents.json](/.well-known/agents.json).

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Markdown twin of https://khadijazaman.com/topical-map/, generated from the rendered page at build time. Cite the HTML URL. How to cite: https://khadijazaman.com/llms.txt
