citation-radarlisted

# Citation Radar (CLEAR Framework) Buyers now ask an assistant before they open a search results page. Classic SEO audits measure rank; this skill measures whether a page is the kind of source an answer engine can lift a sentence from and credit. It works from the buyer's questions backward, not from keywords forward. ## Core Principle **Answer engines cite claims, not pages.** A page earns citations when it contains short, specific, attributable statements that directly answer a question someone actually asks. ## The CLEAR Framework | Letter | Dimension | What It Checks | Weight | |---|---|---|---| | **C** | Claim density | Specific, checkable statements per 100 words (numbers, named entities, dates) | 0.25 | | **L** | Liftability | Answer sits in the first 40-60 words of the section; lists and tables for comparisons | 0.15 | | **E** | Evidence | Named author, dated update, primary sources, schema markup | 0.20 | | **A** | Answer match | Does an H2/H3 or first sentence answer the buyer question verbatim? | 0.25 | | **R** | Rarity | Information not found on the top competing pages (original data, pricing, benchmarks) | 0.15 | Score each dimension 0-10. **CLEAR score** = Σ(weight × score) × 10 → 0-100. - **75+** Citable - protect and refresh quarterly - **50-74** Fixable - one or two dimensions drag it down - **<50** Invisible - rewrite around a specific question ## Process 1. **Question set** - collect 20-40 real buyer questions (sales calls, support tickets, communi