Specificity Upgrader

---
version: 1.0
tested_model: claude-sonnet-4-6
tested_date: 2026-05-20
category: geo
---

# Specificity Upgrader

**Category:** GEO
**Model tested:** Claude Sonnet 4.6
**Last updated:** 2026-05-20

## What it does

Takes vague, generic marketing copy and rewrites it with the specificity that LLMs need to extract and cite it. Claims with named sources, numbers, years, and methodology get lifted into AI-generated answers at a significantly higher rate than the same idea expressed loosely.

"Most B2B organizations are investing in GEO" sits in an LLM's corpus as background noise. "According to the 2026 State of GEO in B2B Marketing study, 92% of B2B organizations are either experimenting with or operationalizing GEO — compared to just 8% who say it isn't a priority" gets cited. The difference is structural: specific claims give the model something quotable, attributable, and verifiable. Vague claims give it nothing to extract.

This prompt audits a piece of content, flags every vague claim, and rewrites each one with the specificity level needed for citation.

## Input needed

- The content to upgrade (blog post, service page, landing page copy, LinkedIn draft — any format)
- Your brand/company name
- Any first-party data, case studies, or research you have available (optional — the prompt will flag where data is missing and suggest what to gather)

## Prompt