📊 GEO Optimisation

The Fact Density Playbook: How to Make AI Cite Your Content

AI models cite content with verifiable facts 3.7× more often than opinion-heavy pages. Here is the complete playbook to rewrite your content for maximum citation rate.

·12 min read

Fact Density is the single highest-impact metric for AI citation rate. Our analysis of 2,400 SME pages shows that content scoring above 40 on the Fact Density Index receives 3.7× more AI citations than content scoring below 20. This playbook walks you through the complete rewriting framework.

The Numbers Behind Fact Density

3.7×
More AI citations
High fact density vs low
21
Average SME score
Fact Density Index baseline
68
Top performer score
Frase.io benchmark page
12 days
Time to first citation
After optimisation

Industry Fact Density Benchmarks

Average scores across 2,400 SME pages analysed

IndustryAvg ScoreTop 10%AI Citation Rate
SaaS / Software286134%
Professional Services195221%
E-commerce245828%
Healthcare316941%
Financial Services276436%
Education225525%
Hospitality164414%
Manufacturing235727%

The 8-Step Fact Density Rewriting Framework

  1. Step 1 — Audit Your Baseline Score — Run your top 10 pages through the Innotek GEO Audit. Export the fact_density_count for each page. Any page below 20 is a priority target. Pages below 10 are invisible to AI.
  2. Step 2 — Identify Fact Gaps — Read each page and highlight every vague claim: 'many customers', 'significant improvement', 'years of experience'. These are your gaps. Every vague claim is a missed citation opportunity.
  3. Step 3 — Add Specific Numbers — Replace every vague claim with a verifiable number. 'Many customers' becomes '2,400 customers across 14 countries'. 'Significant improvement' becomes '43% reduction in time-to-close'. Specificity is the mechanism.
  4. Step 4 — Name Every Entity — AI models build knowledge graphs. Every unnamed person, company, product, or location is a missed node. Replace 'our CEO' with 'James Whitfield, CEO since 2019'. Replace 'our London office' with 'our office at 22 Baker Street, London W1U 3BW'.
  5. Step 5 — Add Temporal Markers — Dates anchor facts to a point in time, making them verifiable. Add publication dates, last-updated dates, data collection periods, and founding years to every factual claim.
  6. Step 6 — Embed Schema.org Structured Data — Every fact on the page should have a corresponding structured data node. If you claim 4.8 stars from 312 reviews, add AggregateRating schema. If you list pricing, add Offer schema. Schema makes facts machine-readable.
  7. Step 7 — Generate Your llms.txt — Once fact density is above 40, generate your llms.txt file. This distils your highest-density facts into a single AI-readable document. Innotek generates this automatically from your audit results.
  8. Step 8 — Re-Audit and Track — Run the GEO Audit again after rewriting. Track your score weekly. Pages typically reach their new citation equilibrium within 12 days of re-indexing by AI crawlers.

Before and After: Real Rewriting Examples

Before (Score: 8 — Digital Agency)

After (Score: 54 — Same Page)

Fact Density Tool Comparison

ToolAuto-DetectionSchema IntegrationAI Citation Trackingllms.txt ExportPrice
Innotek GEO AuditYes — per pageYes — full JSON-LDYes — 3 enginesYes — auto-generatedFrom £29/mo
Frase.ioPartial — topic gapsNoNoNoFrom $44.99/mo
Surfer SEONoNoNoNoFrom $89/mo
ClearscopeNoNoNoNoFrom $170/mo
MarketMusePartial — topic modelNoNoNoFrom $149/mo
Manual auditNoManual onlyManual onlyManual onlyTime cost only

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