RESIT Framework
How AI search engines decide what to cite.
RESIT scores five dimensions — Relevance, Evidence, Structure, Identity, Trust — that answer engines use when retrieving, extracting, and synthesizing content. Aeonic measures all five, plus thirteen underlying citability factors, and rolls them into a single 0–100 score.
The five dimensions
Does the page cleanly answer the question that triggered the AI search? Topical alignment, query coverage, and on-page signals that match user intent.
- Topical depth
- Query/answer alignment
- Entity coverage
Is the answer backed by sources AI can verify? Citations, statistics, named studies, and primary-source links the model can quote with confidence.
- Citations & sources
- Quantitative data
- External validation
Can answer engines extract a clean response? Heading hierarchy, schema markup, lists, FAQ blocks, and chunk-friendly paragraphs.
- Schema.org markup
- Heading depth
- Answer chunkability
Does the brand have a clear, machine-readable identity? Author entities, organization schema, and consistent naming across the web.
- Author entities
- Organization schema
- Cross-source consistency
Will AI engines treat this source as authoritative? Domain reputation, expertise signals, freshness, and citation-survivability across model updates.
- Domain authority
- Freshness
- Citation survivability
What the public preview shows
- Your overall RESIT score (0–100)
- The 2–3 highest-impact fixes
- One-sentence summary of where you stand
What the full report unlocks
- 0–100 RESIT score with per-category subtotals
- Per-factor finding for all 13 underlying citability signals
- Severity rating on every finding (critical / high / medium / low)
- Recommended fixes grouped by RESIT category
- Locked preview vs. full report differential — see what unlocks with access
- 12-hour cached snapshots so re-runs are instant
Methodology
RESIT is Aeonic's presentation layer over a 13-factor citability analysis. Each factor maps to one of the five dimensions and contributes to that dimension's subtotal; weights add up to 100. The score estimates citation readiness signals — it does not guarantee AI citations or rankings.