Bot traffic: autoseoengine.com

all sites · all domains · last 15 days

All sites · All Domains · Visit autoseoengine.com

Who is really visiting autoseoengine.com?

Between Oct 23 and Nov 6, autoseoengine.com received 4,271 requests. About 97% came from automated software and about 1.0% look like real people.

That works out to about 24 human visitors, roughly 2 a day, who opened 26 pages between them. 2 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 28, with 868 requests, of which 2 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.

97%of requests from bots
24human visitors (estimate)
26pages opened by people
4,271total requests, 15 days

Where the requests came from

People 1.0%Named bots 16%Disguised bots 17%Scanners 64%Unclear 1.7%

Requests per day

PeopleNamed botsDisguised botsScannersUnclear
02505007501,000Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

Human visitors per day

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

01234Oct 23Oct 25Oct 27Oct 29Oct 31Nov 2Nov 4Nov 6

The breakdown

SourceRequestsΣ 4,271ShareData sentBlockedby the serverWhat this means
Break-in scanners2,18651%4 MB8Probing for WordPress logins, password files and other common weak spots.
Disguised scrapers67216%3 MB3Claims 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.
Scanners posing as browsers55913%2 MB14Other requests from an address also caught probing for weak spots.
Search engines2656.2%1 MB0Crawlers that say who they are, such as Google, Bing, Apple and Amazon. Usually welcome: this is how people find the site.
Other named bots2345.5%1 MB2Any other software that identifies itself as a bot.
AI crawlers1543.6%<1 MB0AI companies gathering pages or answering a user's question, and saying so.
Unclear741.7%<1 MB0Browser name, but fetched only an image or data file and no page. Could be either.
Scripts and tools641.5%<1 MB3Programs such as curl or Python, or anything with an unrecognizable name.
Likely people350.8%<1 MB0Opened a page and also fetched its images or icons, at a human pace, from a non-cloud address.
SEO and marketing tools170.4%<1 MB10Commercial tools that sell data about websites.
Possibly people90.2%<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.
App link sweepers20.0%<1 MB2Touches only login, app or embed links and no actual content.

Named bots

Botas it names itselfTypeRequests
PetalBotSearch engines162
ClaudeBotAI crawlers105
bingbotSearch engines56
ElevenlabsCrawlerOther named bots46
OAI-SearchBotAI crawlers35
GooglebotSearch engines26
User-Agent:MozillaOther named bots14
ibou-searchOther named bots14
sunrisetranscription.comOther named bots14
RiverBotOther named bots14
Dataprovider.comOther named bots14
SeznamBotSearch engines12
SEOJuice-SearchBotOther named bots12
CensysInspectOther named bots12
AmazonbotAI crawlers11

What people opened

Pages opened by at least two different human visitors.

PageHuman visitors
/24

How people arrived

Referring siteHuman visitors
www.google.com7
www.wholetech.com3
m.baidu.com1

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
192.42.0.0/166221
112.45.0.0/162722
223.106.0.0/162020
43.157.0.0/161816
123.6.0.0/16186
27.115.0.0/16187
43.130.0.0/161413
85.114.0.0/16141

Day by day

DayHuman visitorsHuman pagesNamed botsrequestsDisguisedrequestsScannersrequestsUnclearrequestsAllrequestsBot share
Oct 23115970622475799.2%
Oct 241135441539896%
Oct 2522724228615194%
Oct 2622426018512993%
Oct 27333756103220695%
Oct 28114745765986899%
Oct 291124351527895%
Oct 3000452555913493%
Oct 3100554938314598%
Nov 1117550374150199.6%
Nov 23350481021121593%
Nov 3453691216135297%
Nov 422363998217897%
Nov 5332649571014690%
Nov 6113135239631397%

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 22:41 UTC from 15 log files.