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      Generate and validate llms.txt guidance for AI crawlers

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    Compare sitemap.xml against crawled internal URLs

    • Hreflang Checker

      Validate hreflang tags and language landing pages in one click

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      Compare sitemap.xml against crawled internal URLs

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Check every hreflang
before crawlers do

Find missing x-default tags and confirm language pages return the right status codes.

Real-time fetchStatus codesNo login required
Run a check to see every hreflang link and HTTP status.

International SEO

Hreflang map

Language reach vs. internet usage

Compare the top 20 languages by total speakers (native + second language) with the number of people browsing the web in that language.

Run a check to see every hreflang link and HTTP status.
LanguageCoverage in your resultsHreflangURLStatusNotesTotal speakersInternet usersSources
English
English
—EN———
15.28亿1
11.86亿2
Ethnologue (2023)1
Internet World Stats (2020)2
Mandarin Chinese
Mandarin Chinese
—ZH———
11.38亿3
10.79亿4
Ethnologue (2023)3
CNNIC / Xinhua (2023)4
Spanish
Spanish
—ES———
5.59亿7
3.63亿7
Ethnologue (2023)7
Internet World Stats (2020)7
Modern Standard Arabic
Modern Standard Arabic
—AR———
3.35亿8
2.37亿8
Ethnologue (2023)8
Internet World Stats (2020)8
Hindi
Hindi
—HI———
6.09亿5
2.01亿6
Ethnologue (2023)5
Google & KPMG India language report (2021)6
Indonesian
Indonesian
—ID———
2.52亿16
1.98亿17
Ethnologue (2025)16
Internet World Stats (2020)17
Portuguese
Portuguese
—PT———
2.64亿13
1.71亿10
Ethnologue (2023)13
Internet World Stats (2020)10
French
French
—FR———
3.10亿9
1.51亿10
Ethnologue (2023)9
Internet World Stats (2020)10
Bengali
Bengali
—BN———
2.73亿11
1.31亿12
Ethnologue (2023)11
Bangladesh Telecommunication Regulatory Commission (2023)12
Japanese
Japanese
—JA———
1.26亿21
1.18亿15
Ethnologue (2025)21
Internet World Stats (2020)15
Russian
Russian
—RU———
2.55亿14
1.16亿15
Ethnologue (2023)14
Internet World Stats (2020)15
Nigerian Pidgin
Nigerian Pidgin
—PCM———
1.21亿22
1.15亿23est.
Ethnologue (2025)22
Nigeria internet user estimate (~2021)23
German
German
—DE———
1.34亿20
0.92亿15
Ethnologue (2025)20
Internet World Stats (2020)15
Egyptian Arabic
Egyptian Arabic
—ARZ———
1.19亿24
0.79亿24est.
Ethnologue (2025)24
Egypt internet user estimate (2021)24
Vietnamese
Vietnamese
—VI———
0.97亿27
0.72亿28
Ethnologue (2025)27
ITU / World Bank database (2021)28
Turkish
Turkish
—TR———
0.91亿33
0.69亿34
Ethnologue (2025)33
CIA World Factbook (2021)34
Marathi
Marathi
—MR———
0.99亿25
0.51亿26est.
Ethnologue (2025)25
India industry report (2021)26
Urdu
Urdu
—UR———
2.46亿18
0.48亿19est.
Ethnologue (2025)18
CIA World Factbook (2021)19
Telugu
Telugu
—TE———
0.96亿29
0.40亿30est.
Ethnologue (2025)29
India internet user estimate (~2021)30
Hausa
Hausa
—HA———
0.94亿31
0.30亿32est.
Ethnologue (2025)31
Nigeria / Niger internet user estimate (~2021)32

Methodology & references

Speaker counts blend Ethnologue with official or industry reports. Internet user totals prioritize Internet World Stats plus national regulators; remaining gaps rely on the estimates from the original table.

Sources

[1]Ethnologue 26th edition (2023)
[2]Internet World Stats (2020)
[3]Ethnologue 26th edition (2023)
[4]CNNIC 51st Statistical Report (2023)
[5]Ethnologue 26th edition (2023)
[6]Google/KPMG India language report (2021)
[7]Ethnologue 26th edition (2023) / Internet World Stats (2020)
[8]Ethnologue 26th edition (2023) / Internet World Stats (2020)
[9]Ethnologue 26th edition (2023)
[10]Internet World Stats (2020)
[11]Ethnologue 26th edition (2023)
[12]Bangladesh Telecommunication Regulatory Commission (2023)
[13]Ethnologue 26th edition (2023)
[14]Ethnologue 26th edition (2023)
[15]Internet World Stats (2020)
[16]Ethnologue 27th edition (2025)
[17]Internet World Stats (2020)
[18]Ethnologue 27th edition (2025)
[19]CIA World Factbook (2021)
[20]Ethnologue 27th edition (2025)
[21]Ethnologue 27th edition (2025)
[22]Ethnologue 27th edition (2025)
[23]Nigeria internet user estimate (~2021)
[24]Egypt internet user estimate (2021)
[25]Ethnologue 27th edition (2025)
[26]India industry report (2021)
[27]Ethnologue 27th edition (2025)
[28]ITU / World Bank database (2021)
[29]Ethnologue 27th edition (2025)
[30]India internet user estimate (~2021)
[31]Ethnologue 27th edition (2025)
[32]Nigeria/Niger internet user estimate (~2021)
[33]Ethnologue 27th edition (2025)
[34]CIA World Factbook (2021)
[35]List of languages by total number of speakers — Wikipedia
[36]What Are The Most Used Languages on the Internet? — MosaLingua
[37]List of 10 Languages by Total Number of Speakers — StarAvis
[38]China's internet users total 1.079b — Xinhua
[40]536 million users to log onto Internet in Indian languages by 2021 — The Economic Times
[41]Country's internet user base grows to 131m at 2023 end — The Business Standard
[42]List of countries by number of Internet users — Wikipedia
[43]Laboratory — a Hoichoi original film for Rabindra Jayanti
[44]Half of the Internet Is Unreadable to Most of the World — LanguageLine
[45]The most used languages on the internet — Rest of World
[46]The Most Spoken Languages: On the Internet and in Real Life — Pakistan Gulf Economist

Designed for reliable hreflang auditing

We normalize alternate URLs, verify x-default coverage, and surface broken language pages.

Accurate tag parsing

We collect rel="alternate" hreflang tags, normalize relative links, and cap requests to keep tests fast.

Live status codes

HEAD/GET probes confirm each language URL responds with a healthy status.

Actionable warnings

See missing x-default, duplicates, and invalid language codes before they hurt international SEO.

How it works

How the hreflang checker works

Paste a URL, read the alternate tags, and fix what we flag.

  1. 1

    Paste a page URL

    Drop in any live page. We fetch it in real time, with no login.

  2. 2

    We read the alternate tags

    We collect every rel alternate hreflang tag, normalize the URLs, and check each one for a healthy status code.

  3. 3

    Fix what we flag

    You get a clear list of missing x-default tags, duplicates, and invalid language codes to fix.

Why hreflang matters

Hreflang tags tell search engines which language and region each page is for. When they are wrong, Google can show the wrong page to the wrong country, or treat your translated pages as copies of each other. A clean hreflang setup keeps the right page in front of the right reader.

Common hreflang mistakes

  • A missing x-default tag, so crawlers have no fallback page.
  • Language or region codes that do not match the standard format.
  • Pages that point to others but do not get a link back, so the pair is ignored.
  • Alternate URLs that return a redirect or a 404 instead of a 200.

Check the rest of your GEO setup

Hreflang is one signal. Run a full analysis of your site to see how ready your pages are for AI search and Google.

Run a free GEO analysis

Hreflang checker FAQ

Common questions about checking hreflang tags.

An hreflang tag tells search engines the language and region a page is made for. It helps them serve the right version to each reader.

The x-default tag marks the fallback page for readers whose language or region you do not target directly. Without it, crawlers have no default to fall back on.

No. The hreflang checker is free and runs in your browser with no account and no signup.

No. It only reads your page and reports issues. You stay in control of every fix.

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