Live · Updated 1d ago

The state of AI search

18.6Mcitations tracked

Every day, AI engines crawl, cite, and recommend millions of pages across 4,897 properties and 8 models. This is the live picture of what they are doing — and who is winning.

Properties
4,897
Models tracked
8
Brands ranked
9,273
Crawler visits
576K
Listening for activity…

What the data says right now

01
Attention is concentrating

91% of all AI referral traffic now comes from ChatGPT alone — more than every other model combined.

02
The models rarely agree

Ask eight models the same question and their answers overlap just 43% of the time.

03
Crawlers read once and leave

88.5% of pages are fetched exactly once, then never crawled again — first impressions are everything.

ACT IIWho's winning
[01]

Rankings

Who's winning right now?

Every model is quietly ranking your brand against everyone else. This is the live AI 500 — 9,000+ brands scored on how often AI engines surface them, across 500 industries. The day's biggest movers are up top.

Unable to load rankings data

ACT IIIWhere attention flows
[02]

Traffic

Who's sending the traffic?

AI engines don't just answer questions — they send people. ChatGPT alone drives 91% of every AI referral we measure, more than all other models combined. Here's where the visits actually come from.

7-Day Change
1.3%
30-Day Change
10.5%
Properties
4,897
Market Share (30d)
ChatGPT
91%
Gemini
4%
Claude
2%
Perplexity
1%
Grok
0%
DeepSeek
0%

AI referral traffic by source

Rescaled so the highest visible point = 100%

Jun 1Jul 5Aug 9Sep 15Oct 23Nov 30Jan 6Feb 11Mar 20Apr 27Jun 3Jul 230%25%50%75%100%

Aggregated from 4,897 anonymized GA4 properties. Market share = % of total AI sessions (30d). Updated daily.

Explore full AI traffic index
[03]

Citations

Who gets recommended?

When AI cites a source, it cites the same few over and over. Citations follow a steep power law \u2014 and most brands live in the long tail.

You've seen how AI picks its winners. Where does your brand land?

Track your citations, rankings, and movement across ChatGPT, Claude, Gemini, Perplexity, and Google AIOs — updated daily.

Find your brand
ACT IVHow the machines decide
[04]

Model agreement

Do AI models agree?

Ask eight models the same question and you'll get eight different answers. On average they agree just 43% of the time — Claude and Deepseek line up most, while Meta and Perplexity diverge hardest. Winning in one model tells you almost nothing about the rest.

Average Agreement
43.3%
Perfect Agreement
4.0%
High Divergence
14.6%
Avg Top-3 Overlap
2.8
Model Correlation Matrix
Hover to compare
OpenClauGemiAIOGrokDeepMetaPerp
OpenAI
-
27
21
20
24
25
17
17
Claude
27
-
26
19
35
35
23
15
Gemini
21
26
-
17
24
26
16
12
AIO
20
19
17
-
17
18
12
17
Grok
24
35
24
17
-
31
21
14
Deepseek
25
35
26
18
31
-
22
15
Meta
17
23
16
12
21
22
-
10
Perplexity
17
15
12
17
14
15
10
-
Agreement by Query Type
Comparison
50.4%
How To
45.3%
Alternative
44.1%
Best Of
43.4%
Recommendation
43.1%
[05]

Crawlers

How do they find you?

Before AI can recommend you, its crawlers have to read you. ChatGPT's bots now account for 72% of all crawler visits — more than every other crawler combined — and 88.5% of pages are fetched exactly once, then never again.

Market Share by Crawler
ChatGPT Training
57.2%
ChatGPT Search
15.1%
ByteSpider
9.2%
Meta
7.9%
Amazon
6.7%
Claude Training
3.8%
Single-Visit Pages
88.5%
of pages visited exactly once
Weekend Reduction
-21%
average weekend crawl reduction
Unique URLs
315K
unique URLs crawled
[06]

Content

What content wins?

Crawlers visit everything; models only cite a little of it. Review / Directory pages punch far above their weight — 4.8× cited relative to how often they're crawled — while Homepage pages are heavily crawled but rarely recommended. That gap is where AI visibility is won.

Page Type
Crawl ShareCitation Share
Efficiency
Review / Directory
0.3%
1.2%
4.77x
About / Contact
0.4%
1.7%
4.59x
Resource / Report
0.4%
1.4%
3.76x
Service / Use Case
1.4%
2.6%
1.87x
Blog / Editorial
14.4%
20.2%
1.40x
Documentation
0.7%
0.8%
1.13x
Integration
0.4%
0.4%
0.96x
Homepage
10.7%
7.9%
0.74x
[07]

Markdown

Do crawlers prefer Markdown?

So we ran an experiment. We serve half of 9,035 eligible pages as Markdown and half as HTML, then watch which version AI crawlers fetch. Markdown is 79% smaller — but so far no crawler shows a decisive preference. The experiment is still running.

Markdown is smaller
79%
median per page
Est. byte savings
33%
across eligible pages
Pages in test
9,035
50/50 split
ChatGPT-User events
195K
observed live
Crawler coverage · Markdown vs HTML pages
ChatGPT-User
interaction
MD
69%
HTML
68%
+0.7pp
no signal
OAI-SearchBot
search
MD
74%
HTML
72%
+2.1pp
directional
GPTBot
training
MD
5%
HTML
64%
-59.1pp
significant
PerplexityBot
search
MD
13%
HTML
14%
-0.3pp
no signal
ClaudeBot
training
MD
17%
HTML
22%
-5.4pp
significant
[08]

llms.txt

Does llms.txt actually help?

Everyone's rushing to add an llms.txt file. We checked 37,894 AI-cited domains — only 13.3% have one, and there's no statistical sign it lifts citations (p = 0.85). The honest verdict, for now, is inconclusive.

Adoption Rate
13.3%

of AI-cited domains have adopted llms.txt. While adoption is growing, the file's effect on citation rates remains statistically indistinguishable from noise.

Statistical Test
p = 0.85
Mann-Whitney U - not significant
Domains Scanned
37,894
checked for llms.txt presence
Verdict
Inconclusive
Correlation, not causation - the question remains open.
ACT VInside the question
[09]

Translation

What happens to your search?

The prompt a person types is almost never the query AI runs. Only 0.17% reach search unchanged — the other 33% get rewritten completely, with years, superlatives, and brand names you never typed quietly added in.

Complete Rewrite
33.0%
rewritten beyond recognition
Year Injection
25.7%
add current year to queries
Exact Match
0.17%
pass through unchanged
The words AI adds to your search
best
25.3%
list
24.7%
2025
22.6%
top
16.3%
companies
14.8%
brands
7.8%
platforms
6.3%
vendors
5.9%

Share of rewritten queries that gained each word. "brands", "best", and "official" reveal AI's commercial slant.

Year InjectionAdds current year even when you don't ask
IN
best project management tools
OUT
best project management tools 2026
Brand HallucinationInjects brand names into generic queries
IN
best running shoes for flat feet
OUT
best running shoes for flat feet Nike Brooks ASICS
Intent EscalationExpands simple lookups into comparisons
IN
CRM software
OUT
best CRM software for small business comparison review
Audience FabricationInvents demographic and budget constraints
IN
best laptops for students
OUT
best laptops for college students budget under $1000 2026

How we measure this

Every number here is live. We aggregate public AI-search telemetry — 18.6M citations across 4,897 GA4 properties, crawler logs spanning 37.9K domains, and cross-model responses from 8 AI models — then refresh it daily. No surveys, no panels, no estimates.

Live
Refreshed daily from production pipelines
Public
Aggregated, anonymized public telemetry
Open
Core datasets are free to download below
Traceable
Every section links to its full study

You've seen the whole map. Now find your brand on it.

Track how you appear across ChatGPT, Claude, Gemini, Perplexity, and Google AIOs — your citations, rankings, and movement, updated daily.

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