trainburt.com
Comparing v3 vs v4
Mar 17, 2026 → Mar 17, 2026
28
/ 100
→
+2553
/ 100
#
Criterion
v3
Status
v4
Status
Delta
1
llms.txt File
0/10
MISSING
0/10
MISSING
0
2
Schema.org Structured Data
0/10
MISSING
0/10
MISSING
0
3
Q&A Content Format
2/10
POOR
10/10
STRONG
+8
4
Clean, Crawlable HTML
9/10
STRONG
9/10
STRONG
0
5
Entity Authority & NAP Consistency
3/10
WEAK
3/10
WEAK
0
6
robots.txt for AI Crawlers
2/10
POOR
2/10
POOR
0
7
Comprehensive FAQ Section
4/10
PARTIAL
5/10
PARTIAL
+1
8
Original Data & Expert Analysis
1/10
NEARLY EMPTY
2/10
POOR
+1
9
Internal Linking Structure
5/10
PARTIAL
5/10
PARTIAL
0
10
Semantic HTML5 & Accessibility
8/10
STRONG
9/10
STRONG
+1
11
Content Freshness Signals
2/10
POOR
2/10
POOR
0
12
Sitemap Completeness
0/10
MISSING
0/10
MISSING
0
13
RSS/Atom Feed
0/10
MISSING
0/10
MISSING
0
14
Table & List Extractability
0/10
MISSING
9/10
STRONG
+9
15
Definition Patterns
0/10
MISSING
5/10
PARTIAL
+5
16
Direct Answer Paragraphs
0/10
MISSING
8/10
STRONG
+8
17
Content Licensing & AI Permissions
0/10
MISSING
0/10
MISSING
0
18
Author & Expert Schema
0/10
MISSING
2/10
POOR
+2
19
Fact & Data Density
7/10
GOOD
10/10
STRONG
+3
20
Canonical URL Strategy
0/10
MISSING
0/10
MISSING
0
21
Content Publishing Velocity
0/10
MISSING
0/10
MISSING
0
22
Schema Coverage & Depth
0/10
MISSING
0/10
MISSING
0
23
Speakable Schema
0/10
MISSING
0/10
MISSING
0
24
Query-Answer Alignment
5/10
PARTIAL
7/10
GOOD
+2
25
Content Cannibalization
5/10
PARTIAL
10/10
STRONG
+5
26
Visible Date Signal
0/10
MISSING
0/10
MISSING
0
27
Topic Coherence
5/10
PARTIAL
9/10
STRONG
+4
28
Content Depth
3/10
WEAK
9/10
STRONG
+6
29
Citation-Ready Writing Quality
3/10
WEAK
5/10
PARTIAL
+2
30
Answer-First Placement
6/10
MODERATE
8/10
STRONG
+2
31
Evidence Packaging
0/10
MISSING
3/10
WEAK
+3
32
Entity Disambiguation
0/10
MISSING
0/10
MISSING
0
33
Extraction Friction Score
6/10
MODERATE
0/10
MISSING
-6
34
Image Context for AI
3/10
WEAK
1/10
NEARLY EMPTY
-2
Opportunities
10
v3
10
v4
Added in v4
+ Package Evidence for AI
+ Create llms.txt File
+ Build Comprehensive FAQ Section
+ Improve Internal Linking Architecture
+ Add Content Licensing & ai.txt
Removed since v3
- Focus Content on Core Topics
- Add Direct Answer Paragraphs
- Increase Content Depth
- Restructure Content as Q&A
- Add Structured Tables & Lists
Findings Summary
Criterion
v3 Findings
v4 Findings
Delta
llms.txt File
2
2
0
Schema.org Structured Data
2
2
0
Q&A Content Format
3
3
0
Clean, Crawlable HTML
5
5
0
Entity Authority & NAP Consistency
3
3
0
robots.txt for AI Crawlers
2
2
0
Comprehensive FAQ Section
4
5
+1
Original Data & Expert Analysis
4
5
+1
Internal Linking Structure
5
5
0
Semantic HTML5 & Accessibility
6
5
-1
Content Freshness Signals
4
4
0
Sitemap Completeness
2
2
0
RSS/Atom Feed
2
2
0
Table & List Extractability
4
7
+3
Definition Patterns
4
4
0
Direct Answer Paragraphs
3
3
0
Content Licensing & AI Permissions
4
4
0
Author & Expert Schema
5
5
0
Fact & Data Density
4
4
0
Canonical URL Strategy
2
2
0
Content Publishing Velocity
2
2
0
Schema Coverage & Depth
2
2
0
Speakable Schema
2
2
0
Query-Answer Alignment
2
2
0
Content Cannibalization
2
2
0
Visible Date Signal
2
2
0
Topic Coherence
2
2
0
Content Depth
2
3
+1
Citation-Ready Writing Quality
3
4
+1
Answer-First Placement
3
3
0
Evidence Packaging
3
3
0
Entity Disambiguation
3
3
0
Extraction Friction Score
4
4
0
Image Context for AI
3
3
0