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AI SEO Report Humans vs LLMs

Forbes 2025 AI 50 SEO Scorecard

We analyzed the top 50 companies from Forbes AI 50 list to evaluate their AI SEO readiness and discoverability by LLMs and AI agents. Each website was scored across six key categories that determine how well they can discovered, understood, and cited by artificial intelligence systems.

2025
AI SEO
Industry Report

AI SEO Readiness Rankings

Scores computed in June 2025
Rank
Company
Page
Report
Overall
Crawlability
Structure
Format
Accessibility
Readability
Semantics
1
WindsurfHomepage
75
74
38
79
93
100
80
2
SynthesiaHomepage
74
84
83
100
77
29
80
3
DatabricksHomepage
72
74
29
100
100
71
80
4
HebbiaHomepage
72
59
21
100
100
100
80
5
SierraHomepage
72
84
88
100
90
29
50
6
Fireworks AIHomepage
72
80
36
100
100
64
75
7
FigureHomepage
70
73
25
36
100
100
70
8
WriterHomepage
69
71
97
100
77
14
60
9
DecagonHomepage
69
83
30
100
100
29
85
10
SpeakHomepage
69
72
25
71
83
100
80
11
AnthropicProduct
68
76
25
78
93
100
60
12
LambdaHomepage
67
79
38
100
100
29
70
13
GleanHomepage
65
73
50
100
83
14
80
14
HarveyHomepage
65
85
36
100
100
14
70
15
PhotoroomHomepage
64
76
26
100
100
50
60
16
AbridgeHomepage
63
70
29
71
93
29
80
17
CohereHomepage
63
80
38
100
93
29
60
18
VastHomepage
63
76
32
100
93
29
70
19
Thinking MachinesHomepage
63
52
18
50
100
29
100
20
Vannevar LabsHomepage
62
43
18
100
100
29
90
21
CaptionsHomepage
61
70
30
79
73
86
55
22
ClayHomepage
60
73
40
100
93
14
60
23
SnorkelHomepage
60
70
94
100
27
29
65
24
CrusoeHomepage
58
61
19
79
100
29
65
25
SambaNovaHomepage
58
79
36
100
93
29
40
26
Hugging FaceHomepage
57
60
36
100
93
29
50
27
LangChainHomepage
56
66
20
100
90
29
60
28
Skild AIHomepage
55
50
25
50
90
29
70
29
Together.aiHomepage
54
70
25
100
90
14
50
30
ElevenLabsHomepage
54
81
36
100
90
0
45
31
ScaleHomepage
54
76
24
79
100
14
45
32
CoactiveHomepage
54
73
26
100
90
14
50
33
MercorHomepage
53
76
30
50
17
100
70
34
RunwayHomepage
52
39
15
64
100
29
60
35
NotionHomepage
52
88
31
100
17
86
55
36
StackBlitzHomepage
51
50
36
79
90
29
35
37
OpenEvidenceHomepage
49
61
25
36
33
64
75
38
LuminanceHomepage
42
54
36
100
10
14
80
39
MistralHomepage
41
76
31
100
27
14
50
40
BasetenHomepage
40
81
32
79
0
29
60
41
SunoHomepage
36
62
76
0
23
36
0
42
World LabsHomepage
34
57
25
0
90
0
0

Key Findings

Overall Performance

Our analyis of the Forbes AI 50 companies reveals significant gaps in AI SEO readiness across the industry. While these companies are at the forefront of aritificial intelligence innovation, many have not yet optimized their web presence for AI discovery and understanding.
Average overall score was 60/100, indicating substantial room for improvement.
Only 14% of companies scored above 70 in overall AI readiness.
Top 5 companies averaged 73/100, showing clear leaders in the space.

Common Deficiencies

The most common deficiencies were found in structured data implementation and AI-friendly content, highlighting critical areas where even leading AI companies can improve their disoverability.
A full 80% of websites do not provide complete JSON-LD or Schema markup.
Roughly three-quarters of websites fail readability metrics or omit essential alt-text on images.
Many websites rely on heavy visuals but light semantics, which prevents AI systems from parsing them effectively.

Success Patterns

Top performers demonstrated that AI companies with strong technical foundations tend to excel in multiple categories simultaneously, suggesting that a holistic approach yeilds the best results.
The highest-scoring websites achieve near-perfect results for speed and HTTP hygiene, ensuring fast, reliable indexing.
Consistently rich JSON-LD and meta tags — Open Graph tags and Twitter cards — substantially improves scores.
A clear heading hierarchy combined with FAQ or step-by-step blocks drives up the Answer-Friendly score.

Methodology

Our AI SEO readiness assessment evaluates how well websites can be discovered, understood, and cited by AI systems and large language models. Each company was scored across six critical categories:

Discoverability & Crawlability

Assesses foundational signals (like robots.txt and sitemaps) that enable AI crawlers to find and index your pages. We check for robots.txt rules, presence and syntax of sitemap.xml, HTTP status hygiene, OpenGraph Tags, Twitter Cards Tags, llms.txt and MCP endpoint.

Structured Data & Semantics

Checks for structured data like JSON-LD Schema and meta tags that translates your content into a logical format for AI agents. We check for JSON-LD Schema, Meta Title and Description, Entity Linking (`sameAs`, Wikidata IDs), Date markup in articles, and Media semantics.

Answer-Friendly Formatting for LLMs

Checks use of proper headings, FAQs, lists, and tables that allow LLMs to easily parse and extract information.

Accessibility & Rendering

Checks that key content renders without JavaScript and that core web vitals are healthly.

Readability

Measures how easily your content can be understood by both humans and AI models to avoid ambiguity. Checks in this category include the Flesch-Kincaid score, SMOG score, and content density (real content vs noise).

Semantics & Embeddings

Uses Gemini to assess how well the page answers high-intent real user questions. We check for embeddings overlap of user questions with the page content and use LLM as-a-judge to gauge content clarity.
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