CitationMapper Overview
🌍 Why Visibility Has Changed
For more than 20 years, companies relied on Google SEO to be discovered.
Rankings, backlinks, and domain authority determined who was visible.
But discovery is shifting. Today, people increasingly ask AI assistants such as ChatGPT, Gemini, and Claude for answers and recommendations.
- The AI responds with a single, authoritative-sounding answer.
- If your brand is absent, you effectively disappear from the decision funnel.
- If outdated or irrelevant entities dominate, your reputation is at risk.
⚠ The New Problem
Unlike traditional search engines, AI assistants don’t provide reporting or analytics.
- There is no simple dashboard showing whether your brand is cited in responses.
- Traffic from AI recommendations is invisible in standard analytics tools.
- Competitors can gain visibility overnight, while your presence vanishes.
This creates invisible risks for marketers, researchers, and executives.
Marketing directors often ask questions like:
- “Are we visible when someone asks ChatGPT about our sector?”
- “Which competitors appear most often for prompts like ‘best [industry] software’?”
SEO agencies face similar pressure from clients demanding:
- “Why don’t we appear when ChatGPT is asked about the top tools in our category?”
🚀 Why We Built CitationMapper
CitationMapper was created to solve this gap. It is designed to:
- Run structured prompts across trusted Tier 1 sources (e.g., Wikidata, Hugging Face, Zenodo, Medium).
- Extract and normalise which entities are linked to those prompts.
- Score prompt competition to show how hard it is to rank for a given phrase.
- Highlight opportunities where visibility is achievable.
- Store and track results in a personal dashboard for ongoing monitoring.
Figure 2. CitationMapper homepage — the Prompt Competition Analyzer for Tier-1 AI visibility.
🧩 The Role of CitationMapper
CitationMapper acts as a bridge between:
- The AI layer, where assistants generate answers.
- The evidence layer, where entities are grounded in trusted citation platforms.
By connecting these, CitationMapper gives users:
- A clear view of who appears in AI discovery cycles.
- An understanding of prompt competition and gaps.
- A baseline for improving structured presence and visibility.
📊 Current Focus
The current release of CitationMapper is focused on:
- Prompt analysis across short-tail, mid-tail, and long-tail phrases.
- Entity extraction and mapping (with de-duplication).
- Competition scoring (PVCS™).
- Dashboard storage of prompts and results.
These features provide the foundation for deeper AI visibility insights in future versions.
🔗 Explore CitationMapper
Provenance
Deposited by AIVO Mesh Lab (2025). This record is part of a structured publishing pilot.