# Projects by Khadija Zaman | Tools, Open Source and Frameworks

> Tools I built at Wellows, open-source SEO and AI-search code on GitHub, and the frameworks I use to test pages for AI search. Every number has a source.

Source: https://khadijazaman.com/projects/  ·  Last modified: 2026-10-08

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# Projects

Things I've built to see how search and AI engines actually behave. Some have real users. Some are open code you can run yourself.

-   1,647practitioners used three tools I built at Wellows
-   829of them on the Query Fan-Out Generator
-   7public GitHub repos listed on this page
-   2Search Engine Land guides that use or list the Query Fan-Out Generator

Sources: GA4 (9 Sep 2026), github.com/KhadijaZaman (7 Oct 2026), searchengineland.com (7 Oct 2026). User counts are from my own tracking window, not lifetime totals.

-   [Tools I built at Wellows3](#built-at-wellows)
-   [Open source on GitHub5](#open-source)
-   [Frameworks2](#frameworks)
-   [Free tools on this site4](#free-tools)
-   [Where it started2](#learning)

## Tools I built at Wellows 3

Built in-house at Wellows as free entry points for practitioners. Wellows hosts them; the build and the measurement were mine.

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Live

### [Query Fan-Out Generator](/projects/query-fan-out-generator/)

Turns one seed query into 40+ distinct sub-queries, each labelled by intent, so you can see which ones your pages don't answer yet.

-   **829**active users in my tracking window (GA4, as of 9 Sep 2026)
-   **6,849**lifetime users on Wellows' live counter (Wellows counter as shown in Search Engine Land's guide)
-   **5.1%**CTR from organic search

-   Expands one seed query into 40+ semantically distinct variants
-   Labels each variant informational, commercial, comparative or navigational
-   Scores each variant for relevance to the seed
-   Exports to CSV for content planning

[Read the full story →](/projects/query-fan-out-generator/)[Try the free preview →](/tools/query-fan-out/)[Search Engine Land guide →](https://searchengineland.com/guide/topic-clusters-for-ai-search)[Search Engine Land roundup →](https://searchengineland.com/guide/query-fan-out-tools-software)

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Live

### LLM Query Builder

Generates the questions a buyer would actually type into ChatGPT, Perplexity or Gemini about your category, across personas and four intent types.

-   **149**users (GA4, as of 9 Sep 2026)
-   Launched on Product Hunt (Masab Gadit's launch post)

[Product Hunt launch post →](https://www.linkedin.com/posts/masab-gadit_producthunt-aisearch-seo-activity-7399797741079412736-_oZC)[Engine on GitHub →](https://github.com/KhadijaZaman/LLM-AI-Search-Query-Builder)

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### AI Humanizer

Rewrites AI drafts so they read naturally without losing topical depth, with before-and-after stats.

-   **669**users (GA4, as of 9 Sep 2026)
-   **60 to 72%**GA4 engagement rate across the months I tracked (GA4)

## Open source on GitHub 5

Public code on github.com/KhadijaZaman. Several of these are the engines behind the tools above.

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`$ git clone github.com/KhadijaZaman/LLM-AI-Search-Query-Builder` `TypeScript · Node · OpenAI`

Open source · TypeScript · Node · OpenAI

### LLM AI Search Query Builder

The engine behind the LLM Query Builder: a 9-step pipeline that reads a site, maps products to personas and pain points, and generates 100+ queries across the buyer journey.

[GitHub →](https://github.com/KhadijaZaman/LLM-AI-Search-Query-Builder)

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`$ git clone github.com/KhadijaZaman/domain-authority-explorer` `TypeScript · Postgres · Common Crawl`

Open source · TypeScript · Postgres · Common Crawl

### Domain Authority Explorer

An open-data alternative to proprietary authority scores, built on the Common Crawl Web Graph of about 121 million domains, with monthly history back to January 2018.

[GitHub →](https://github.com/KhadijaZaman/domain-authority-explorer)

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`$ git clone github.com/KhadijaZaman/citation-auditor` `TypeScript · React · Express`

Open source · TypeScript · React · Express

### Citation Auditor

Scrapes a set of pages, scores each for the signals AI answer engines cite, and exports a spreadsheet a content team can work through.

[GitHub →](https://github.com/KhadijaZaman/citation-auditor)

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`$ git clone github.com/KhadijaZaman/internal-link-system` `TypeScript · Claude API · MIT`

Open source · TypeScript · Claude API · MIT

### Internal Link System

AI-assisted internal linking that reads your pages and proposes links by context, not by keyword match.

[GitHub →](https://github.com/KhadijaZaman/internal-link-system)

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`$ git clone github.com/KhadijaZaman/wellows-mcp-server` `TypeScript · MCP · OAuth 2.0 · MIT`

Open source · TypeScript · MCP · OAuth 2.0 · MIT

### Wellows MCP Server

An MCP server that lets Claude or any MCP client check a domain's citation score in Google AI Overviews without opening a dashboard.

[GitHub →](https://github.com/KhadijaZaman/wellows-mcp-server)

## Frameworks 2

Methods I use to score and test pages for AI search, written up in full.

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Published

### R2A Content Framework

Scores whether AI systems can retrieve, select, cite and act on a page: eight layers, one hard gate, and a graded evidence level on every recommendation.

[Read the framework →](/frameworks/r2a/)

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Published

### BERAP Map

Probes five AI engines with repeated prompts and grades answers against a dated attribute table, producing six scores for what models remember about a brand.

[Read the instrument →](/frameworks/r2a/berap/)

## Free tools on this site 4

Small, no-sign-up tools that run in your browser.

-   **AEO Citeability Checker**
    
    Scores how ready your content is to be cited by AI answer engines, with fixes.
    
    [Try it →](/tools/citeability-checker/)
-   **SERP Snippet Preview**
    
    Approximate pixel-width preview of a title and meta description, with truncation warnings.
    
    [Try it →](/tools/serp-preview/)
-   **Query Fan-Out Explorer**
    
    Expands a seed query into 44 template sub-queries grouped by fan-out type.
    
    [Try it →](/tools/query-fan-out/)
-   **Schema JSON-LD Generator**
    
    Fill a short form, copy ready-to-paste Article, FAQ or Person structured data.
    
    [Try it →](/tools/schema-generator/)

## Where it started 2

Early builds from when I was learning how retrieval works.

-   **Custom Semantic Search Engine** Python · Word2Vec · BART
    
    Semantic document search from scratch: embeddings, cosine-similarity ranking and summarisation, in a Colab notebook.
    
    [GitHub →](https://github.com/KhadijaZaman/custom-search-engine)
-   **LLM Semantic SEO Evaluation Tool** Python · Streamlit · Jupyter
    
    Scrapes a URL and scores its content on semantic SEO criteria such as context coverage, entities and internal linking.
    
    [GitHub →](https://github.com/KhadijaZaman/EDA)

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