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# CitationMapper Process
## 🔍 Step 1 — Enter a Target Prompt
Users begin by entering a **target prompt** into CitationMapper.
Examples:
- *“Best AI visibility tools”*
- *“Which competitors show up in ChatGPT for [industry]?”*
- *“How difficult is it to rank for ‘top AI marketing platforms’?”*
This prompt becomes the starting point for visibility analysis.
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## 🏷 Step 2 — Search Tier 1 Sources
CitationMapper queries **trusted Tier 1 platforms** where LLMs draw their knowledge from, including:
- **Wikidata**
- **Hugging Face**
- **Zenodo**
- **Medium**
- **GitHub**
The system checks which entities are associated with the entered prompt.
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## 🌐 Step 3 — Entity Extraction
From these results, CitationMapper identifies the **entities** that currently hold visibility for the prompt.
- Entities may be tools, companies, datasets, or publications.
- Each entity is logged exactly as it appears on the source platform.
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## 📊 Step 4 — Competition Scoring
CitationMapper calculates a **Prompt Visibility Competition Score (PVCS™)**, based on:
- How many entities are linked to the prompt.
- Presence across multiple Tier 1 sources.
- Relative strength of those sources.
This shows how hard it is to rank for the chosen phrase.
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## 📝 Step 5 — Prompt Listing
CitationMapper then generates a **structured list of prompts**, including:
- Short-tail, medium-tail, and long-tail variations.
- Which entities currently occupy visibility space.
- Opportunities where competition is weaker (quick wins).
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## 📂 Step 6 — Dashboard Storage
All tested prompts and results are stored in the user’s personal **CitationMapper dashboard**, making it easy to:
- Track changes over time.
- Compare different prompts.
- Identify new opportunities to improve AI visibility.
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*Figure 3. CitationMapper workflow — user inserts a target prompt; CitationMapper searches Tier-1 sources, extracts entities, calculates a competition score, lists prompt variants, and stores all results in the dashboard.*
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**Explore CitationMapper:** [bit.ly/cm-atom1-chatgpt](https://bit.ly/cm-atom1-chatgpt)
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## Provenance
Deposited by **AIVO Mesh Lab** (2025). This record is part of a structured publishing pilot.
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