Bot traffic: askemai.com

all sites · all domains · last 15 days

All sites · All Domains · Visit askemai.com

Who is really visiting askemai.com?

Between Oct 23 and Nov 6, askemai.com received 11,155 requests. About 98% came from automated software and about 0.6% look like real people.

That works out to about 62 human visitors, roughly 4 a day, who opened 66 pages between them. 4 of them read more than one page.

The biggest source is scanners hunting for security holes. They try the same list of common weak spots on every site they find.

The busiest day was Oct 26, with 3,474 requests, of which 9 came from people.

Bottom line: the hit counts on the All Domains worksheet are almost entirely bots. Use the human visitor figure here to judge this site's real audience.

98%of requests from bots
62human visitors (estimate)
66pages opened by people
11,155total requests, 15 days

Where the requests came from

People 0.6%Named bots 18%Disguised bots 17%Scanners 63%Unclear 1.1%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
01,0002,0003,0004,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

Same days, people only, on their own scale so they are visible.

05101520Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 11,155ShareData sentBlockedby the serverWhat this means
Break-in scanners4,97545%<1 MB40Probing for WordPress logins, password files and other common weak spots.
Scanners posing as browsers2,00618%3 MB0Other requests from an address also caught probing for weak spots.
Disguised scrapers1,75516%11 MB6Claims to be a normal browser but only downloads pages, never the images or icons a real browser fetches, reads many pages without ever clicking a link, or runs from a cloud provider.
Other named bots7066.3%3 MB8Any other software that identifies itself as a bot.
Search engines6756.1%3 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
AI crawlers5535.0%<1 MB23AI companies gathering pages or answering a user's question, and saying so.
Scripts and tools1611.4%<1 MB0Programs such as curl or Python, or anything with an unrecognizable name.
Unclear1241.1%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
SEO and marketing tools1171.0%<1 MB55Commercial tools that sell data about websites.
Possibly people610.5%<1 MB0Read 1 to 3 pages, arrived from a search engine or social link, no icons fetched. Referrers can be faked, so treat these as maybe.
Likely people110.1%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
No name given60.1%<1 MB0Requests that give no software name at all.
App link sweepers50.0%<1 MB0Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines312
ClaudeBotAI crawlers270
GooglebotSearch engines111
bingbotSearch engines96
RiverBotOther named bots74
OAI-SearchBotAI crawlers56
QlyzeBotOther named bots55
ibou-searchOther named bots50
Amzn-SearchBotSearch engines49
ExaSearchBotOther named bots49
SemrushBotSEO and marketing tools44
SeznamBotSearch engines43
ElevenlabsCrawlerOther named bots42
GPTBotAI crawlers37
CensysInspectOther named bots31

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/42
/sources/2
/news/2
/prompt-guide.html2

How people arrived

Referring siteHuman visitors
memsist.com27
m.baidu.com19
www.google.com11

Where disguised bots operate from

Address blocks, not individual addresses. A heavily used block with many addresses suggests one operator rotating through them.

Address blockRequestsAddresses used
192.42.0.0/1617739
23.180.0.0/16981
185.220.0.0/167811
93.123.0.0/16411
5.102.0.0/16283
66.249.0.0/16226
43.157.0.0/161915
104.28.0.0/16196

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23111731302861260298%
Oct 244471155348458299%
Oct 25001178472728098%
Oct 26891071573,19473,47499.5%
Oct 271717131331231571697%
Oct 2823137100402865098%
Oct 291011672161261443694%
Oct 3044334102604101,05698%
Oct 312210174321450299%
Nov 14416384307856798%
Nov 211233107288663599%
Nov 32210794407861898%
Nov 44412411353730196%
Nov 533116973421257097%
Nov 611708301216692%

How this was measured

Every request in the server log was sorted by what it did, not only what it claimed to be. Bots that name themselves are counted as named. Anything claiming to be a browser had to act like one: open a page, fetch its images or icons, move at human speed, and come from outside the big cloud providers. These are estimates. A careful bot can pass the test, and a person with images blocked or a cached icon can fail it, so read the human figures as a good approximation, not an exact count. One person using two devices counts as two visitors. Google Analytics-style tools would show different numbers because most bots never run their script. Logs are kept for 15 days.

Built 2026-11-06 22:42 UTC from 15 log files.