Window: last 14 days · dataset fibr_axp_page_hits · auto-refresh every 5 min
Bot hits
16,799
↓ 5.3% vs prior 14d
Stripped
2
→ flat · 0.0% share
Origin bot-miss
1,529
↓ 10.3% · 9.1% fell through
Unique paths
2,059
↓ 6.5% distinct URLs
Unique bots
18
↓ 21.7% UA matches
Avg latency
377 ms
↑ 10.4% worker wall-clock
Max latency
164,862 ms
↑ 670% worst-case
Daily volume stripped vs origin-bot-miss
Each bar = one UTC day. Green = served from stripped/. Orange = bot-miss (path we don't have stripped, fell through to Framer).
Daily volume by class live vs search-index vs training
Live (blue) = real-time agents fetching while a user asks an AI a question. Search-index (purple) = crawlers building a search index that AI assistants then query at chat time (Perplexity, Claude-SearchBot, etc.). Training (orange) = offline crawlers indexing for model training. Watching live + search-index trend up means humans-via-AI are finding our content.
Daily coverage % share of bot requests served from stripped/
Higher = more bot traffic served the fast, clean stripped HTML. As more pages get stripped over time, this should trend up.
Hourly heatmap day-of-week × hour, UTC
Each cell = one hour of one weekday over the 14d window. Darker = more bot hits at that time. Reveals when crawlers are most active so you can plan deploys around quiet windows. Buckets are UTC and don't follow the timezone toggle — shifting them would silently misalign the grid.
lessmorepeak: 252/hr
Latency by served variant stripped vs origin pass-through
Worker wall-clock time. Stripped = bot got pre-stripped HTML from the Assets binding. Origin-bot-miss = bot fell through to Framer (extra TLS + network round-trip). The gap is the latency benefit the strip pipeline gives bots.
Variant
Hits
Avg
Min
Max
origin-bot-miss
1,529
478 ms
98 ms
10,618 ms
stripped
2
379 ms
347 ms
411 ms
stripped-edited
15,268
367 ms
33 ms
164,862 ms
Status code breakdown HTTP responses we returned to bots
Healthy = mostly 2xx. Spikes in 4xx/5xx mean bots are seeing errors — investigate before they de-rank us.
Coverage by path family which sections of the site have gaps
First URL segment groups paths into families (/faq/*, /blog/*, etc.). Compare stripped vs miss to see where the strip pipeline has the worst coverage.
Family
Total
Stripped
Bot-miss
Coverage
/faq/*
4,304
0
0
0.0%
/blog/*
2,044
1
369
0.0%
/
1,756
0
0
0.0%
/glossary/*
1,598
1
403
0.1%
/landing-page/*
1,239
0
20
0.0%
/conversion-rate-optimization/*
991
0
56
0.0%
/ab-testing/*
978
0
69
0.0%
/tools/*
925
0
10
0.0%
/geo/*
624
0
3
0.0%
/pilot/*
151
0
5
0.0%
/pricing/*
135
0
0
0.0%
/about-us/*
118
0
0
0.0%
/whitepaper/*
114
0
48
0.0%
/customer-stories/*
114
0
40
0.0%
/croagency/*
100
0
6
0.0%
/seed-funding/*
81
0
0
0.0%
/privacy-policy/*
71
0
0
0.0%
/guides/*
62
0
11
0.0%
/experimentation/*
56
0
0
0.0%
/terms-and-conditions/*
52
0
0
0.0%
By country
Code
Country
Hits
US
United States
11,883
SG
Singapore
775
PL
Poland
513
AU
Australia
432
CH
Switzerland
276
IN
India
275
NZ
New Zealand
265
BR
Brazil
262
CN
China
240
ES
Spain
197
JP
Japan
183
DE
Germany
180
GB
United Kingdom
155
IT
Italy
154
ID
Indonesia
125
Bot vs AS-org identity verification
Match = bot UA arrives from a network the vendor is known to use. Spoof? = UA + AS-org don't line up; likely UA fake. Unknown = no expected list yet for this bot.
Bot
AS organisation
Verdict
Hits
ChatGPT-User
Microsoft Corporation
match
4,144
Amazonbot
Amazon Technologies Inc.
match
2,435
Amazonbot
Amazon Data Services Northern Virginia
match
2,310
ClaudeBot
Anthropic, PBC
match
1,837
ChatGPT-User
Microsoft Limited
match
1,064
Meta-ExternalAgent
Meta Platforms Ireland Limited
match
927
Bytespider
Amazon Data Services Singapore
spoof?
731
PerplexityBot
Amazon Technologies Inc.
match
584
OAI-SearchBot
Microsoft Limited
match
554
ChatGPT-User
Microsoft do Brasil Imp. e Com. Software e Video G
match
223
Amazonbot
Amazon.com, Inc.
match
216
Bytespider
China Unicom Hebei province network
spoof?
170
GPTBot
Microsoft Limited
match
123
Bytespider
CHINANET hebei province network
spoof?
68
Perplexity-User
Amazon Technologies Inc.
match
64
Claude-User
Google LLC
match
61
OAI-SearchBot
Microsoft Corporation
match
46
ChatGPT-User
Microsoft Deutschland MCIO GmbH
match
41
ChatGPT-User
Microsoft Corp
match
33
ChatGPT-User
SIA Singularity Telecom
spoof?
28
YouBot
You.com
spoof?
25
ChatGPT-User
E-Light-Telecom Ltd.
spoof?
23
ChatGPT-User
Google LLC
spoof?
23
OAI-SearchBot
Infraly, LLC
spoof?
21
Claude-User
So-net Service
spoof?
19
ClaudeBot
Cloudflare, Inc.
spoof?
19
ClaudeBot
Infraly, LLC
spoof?
14
CCBot
Infraly, LLC
spoof?
13
xAI
Infraly, LLC
spoof?
13
Google-CloudVertexBot
Infraly, LLC
spoof?
13
HTTP / TLS mix spoof signal
A bot UA pretending to be a major vendor over an unusual HTTP/TLS combo (e.g. claiming to be GPTBot but speaking HTTP/1.1 + TLS 1.2 when real OpenAI uses HTTP/2 + TLS 1.3) is a likely spoof. Watch the long tail, not the dominant bar.
HTTP protocol
HTTP/29,87260.3%
HTTP/1.16,48439.6%
HTTP/3120.1%
TLS version
TLSv1.316,05499.2%
TLSv1.21330.8%
AS-org leaderboard top networks fetching us, regardless of UA
Independent of bot name — useful for spotting volume from networks that don't claim a bot UA, or cross-checking against the Bot vs AS-org table above.
AS organisation
Hits
Distinct bots
Microsoft Corporation
4,200
3
Amazon Technologies Inc.
3,083
3
Amazon Data Services Northern Virginia
2,310
1
Anthropic, PBC
1,837
1
Microsoft Limited
1,747
4
Meta Platforms Ireland Limited
927
1
Amazon Data Services Singapore
731
1
Microsoft do Brasil Imp. e Com. Software e Video G
223
1
Amazon.com, Inc.
218
2
China Unicom Hebei province network
170
1
Infraly, LLC
104
8
Google LLC
87
3
CHINANET hebei province network
68
1
NextGenWebs, S.L.
63
13
Microsoft Deutschland MCIO GmbH
47
2
Live tail last 50 bot hits in the past 6h
Period-independent — same on 7D / 14D / 30D. AE write delay is ~30–90s, so "live" actually lags real-time by about a minute. Useful for incident triage and spotting bot spikes.