Original research by Kyle Alm · 2026-08-16

History of SEO Terms on Wikipedia

Original research: how spamdexing became SEO, dated to the hour

Wikipedia does not coin language; it admits it. New ideas do not appear in a reference work — established ones do — so every arrival and departure in its text is a dated acceptance ruling. We measured 5,901,821 words of revision history to chart how the industry’s phrases rose, crossed, and died.

What this research found

  • Wikipedia accepted the term “SEO” on 24 February 2003 — eleven and a half months after it documented spamdexing. The SEO industry’s abuse was named before its profession was.
  • The modern vocabulary overtook the founding vocabulary in 2015. Sum every tracked phrase by the era it peaked in and the curves cross once, cleanly — a changing of the guard you can point to.
  • The phrase “keyword density” peaked in 2010 and retains 21% of that peak. Meta keywords retains 5%, cloaking 9% — and three phrases are gone outright: invisible text (last seen 2005), link juice (2022), alt text (2023).
  • The hyphen died in 2011. “email marketing” overtook “e-mail marketing” that year and never trailed again; “digital marketing” overtook “internet marketing” in 2016 — the field renamed itself, and the record dates it.
  • Nothing new was admitted for seven years. 23 of the 27 still-current phrases enter the corpus by 2008; from 2009 through 2015 not one arrives — then the AI-era vocabulary lands as a wave in 2022.
  • 79 rival names were absorbed into one entry, each on a dated, signed decision, between 2004 and 2010.
  • Publishers overtook platforms as sources in 2014. google.com was the most-cited domain in 2004 at 4.9%; by 2026 it is outside the top four.

On 24 February 2003, at 22:58 UTC, an editor using the account Sherwoodseo created the Wikipedia article Search engine optimization — that link opens the exact revision this study measured, not the article as it stands today.

The account name is the point. SEO was already the word. Someone had it in their username before the encyclopedia had an article for it, and the article they wrote describes an established consulting industry with firms, clients and rival techniques. Nothing was invented that night. What happened was narrower and more interesting: a term already in professional use crossed the threshold into the reference work that ratifies English.

The encyclopedia had described the practice long before it accepted the profession. The article Spamdexing was created on 10 March 2002 — eleven and a half months earlier — and its first revision explains modifying pages to rank higher, invisible keyword text, and search engines removing offenders. It never once uses the words “optimization” or “SEO”. Wikipedia had a word for gaming search engines a year before it had a word for the job.

365Articles tracked
6,083Yearly snapshots
2,794Dated naming decisions
741Articles deleted
475,271Words recovered

Part one

The changing of the guard

Naming decisions record what a term meant. Usage records whether anyone still says it. Measuring each phrase at density per 1,000 words — never raw counts, since the corpus grows fivefold — gives every piece of trade vocabulary a full 22-year curve. The clearest reading is peak year, and how much of that peak survives today.

0.91.72.63.520152004: founding era vocabulary at 3.00 per 1,000 words (20 terms)2005: founding era vocabulary at 3.28 per 1,000 words (20 terms)2006: founding era vocabulary at 2.81 per 1,000 words (20 terms)2007: founding era vocabulary at 2.81 per 1,000 words (20 terms)2008: founding era vocabulary at 2.61 per 1,000 words (20 terms)2009: founding era vocabulary at 2.39 per 1,000 words (20 terms)2010: founding era vocabulary at 2.45 per 1,000 words (20 terms)2011: founding era vocabulary at 2.32 per 1,000 words (20 terms)2012: founding era vocabulary at 2.30 per 1,000 words (20 terms)2013: founding era vocabulary at 2.13 per 1,000 words (20 terms)2014: founding era vocabulary at 2.05 per 1,000 words (20 terms)2015: founding era vocabulary at 2.01 per 1,000 words (20 terms)2016: founding era vocabulary at 1.89 per 1,000 words (20 terms)2017: founding era vocabulary at 1.82 per 1,000 words (20 terms)2018: founding era vocabulary at 1.77 per 1,000 words (20 terms)2019: founding era vocabulary at 1.76 per 1,000 words (20 terms)2020: founding era vocabulary at 1.77 per 1,000 words (20 terms)2021: founding era vocabulary at 1.70 per 1,000 words (20 terms)2022: founding era vocabulary at 1.71 per 1,000 words (20 terms)2023: founding era vocabulary at 1.62 per 1,000 words (20 terms)2024: founding era vocabulary at 1.66 per 1,000 words (20 terms)2025: founding era vocabulary at 1.63 per 1,000 words (20 terms)2026: founding era vocabulary at 1.63 per 1,000 words (20 terms)founding era2004: middle era vocabulary at 0.03 per 1,000 words (5 terms)2005: middle era vocabulary at 0.21 per 1,000 words (5 terms)2006: middle era vocabulary at 0.30 per 1,000 words (5 terms)2007: middle era vocabulary at 0.56 per 1,000 words (5 terms)2008: middle era vocabulary at 0.67 per 1,000 words (5 terms)2009: middle era vocabulary at 0.73 per 1,000 words (5 terms)2010: middle era vocabulary at 0.80 per 1,000 words (5 terms)2011: middle era vocabulary at 0.66 per 1,000 words (5 terms)2012: middle era vocabulary at 0.73 per 1,000 words (5 terms)2013: middle era vocabulary at 0.57 per 1,000 words (5 terms)2014: middle era vocabulary at 0.55 per 1,000 words (5 terms)2015: middle era vocabulary at 0.51 per 1,000 words (5 terms)2016: middle era vocabulary at 0.48 per 1,000 words (5 terms)2017: middle era vocabulary at 0.46 per 1,000 words (5 terms)2018: middle era vocabulary at 0.42 per 1,000 words (5 terms)2019: middle era vocabulary at 0.41 per 1,000 words (5 terms)2020: middle era vocabulary at 0.45 per 1,000 words (5 terms)2021: middle era vocabulary at 0.42 per 1,000 words (5 terms)2022: middle era vocabulary at 0.42 per 1,000 words (5 terms)2023: middle era vocabulary at 0.38 per 1,000 words (5 terms)2024: middle era vocabulary at 0.37 per 1,000 words (5 terms)2025: middle era vocabulary at 0.37 per 1,000 words (5 terms)2026: middle era vocabulary at 0.35 per 1,000 words (5 terms)middle era2004: modern era vocabulary at 0.03 per 1,000 words (11 terms)2005: modern era vocabulary at 0.08 per 1,000 words (11 terms)2006: modern era vocabulary at 0.36 per 1,000 words (11 terms)2007: modern era vocabulary at 0.48 per 1,000 words (11 terms)2008: modern era vocabulary at 0.65 per 1,000 words (11 terms)2009: modern era vocabulary at 0.77 per 1,000 words (11 terms)2010: modern era vocabulary at 0.78 per 1,000 words (11 terms)2011: modern era vocabulary at 1.10 per 1,000 words (11 terms)2012: modern era vocabulary at 1.37 per 1,000 words (11 terms)2013: modern era vocabulary at 1.51 per 1,000 words (11 terms)2014: modern era vocabulary at 1.91 per 1,000 words (11 terms)2015: modern era vocabulary at 2.30 per 1,000 words (11 terms)2016: modern era vocabulary at 2.81 per 1,000 words (11 terms)2017: modern era vocabulary at 3.00 per 1,000 words (11 terms)2018: modern era vocabulary at 2.74 per 1,000 words (11 terms)2019: modern era vocabulary at 2.79 per 1,000 words (11 terms)2020: modern era vocabulary at 3.05 per 1,000 words (11 terms)2021: modern era vocabulary at 3.21 per 1,000 words (11 terms)2022: modern era vocabulary at 3.28 per 1,000 words (11 terms)2023: modern era vocabulary at 3.32 per 1,000 words (11 terms)2024: modern era vocabulary at 2.99 per 1,000 words (11 terms)2025: modern era vocabulary at 3.00 per 1,000 words (11 terms)2026: modern era vocabulary at 2.87 per 1,000 words (11 terms)modern era20042010201620212026
Combined per-1,000-word density of the 36 tracked terms, grouped by the era each term PEAKED in (founding ≤2009, middle 2010–2019, modern ≥2020 — an editorial banding, stated so you can move it). Founding-era n = 20, middle n = 5, modern n = 11.
View the cohort data as a table
Combined density per 1,000 words by era of peak use
Yearfounding eramiddle eramodern era
20043.000.030.03
20053.280.210.08
20062.810.300.36
20072.810.560.48
20082.610.670.65
20092.390.730.77
20102.450.800.78
20112.320.661.10
20122.300.731.37
20132.130.571.51
20142.050.551.91
20152.010.512.30
20161.890.482.81
20171.820.463.00
20181.770.422.74
20191.760.412.79
20201.770.453.05
20211.700.423.21
20221.710.423.28
20231.620.383.32
20241.660.372.99
20251.630.373.00
20261.630.352.87

The drift has a direction, and it is not a rebrand. The vocabulary that entered with the field described what a practitioner does to a page: meta keywords, keyword density, title tags, cloaking, doorway pages. The vocabulary of the 2020s describes what a system does: machine learning, artificial intelligence, large language models, structured data. The subject of the sentence changed.

Every phrase, one curve each

Faded — below 35% of peak · 10 terms

meta keywords5%
cloaking9%
doorway pages10%
page rank10%
meta tags19%
keyword stuffing21%
keyword density21%
link farm22%
title tag24%
white hat34%

Enduring — at or above 35% · 23 terms

structured data100%
core web vitals99%
large language98%
artificial intelligence94%
user experience92%
machine learning91%
content marketing91%
search engine results86%
mobile-first80%
link building79%
social media76%
black hat76%
paid links59%
paid inclusion56%
serp51%
anchor text50%
search engine ranking47%
pagerank46%
organic search46%
backlinks43%
serps36%
reciprocal links35%
nofollow35%

Blink-and-gone — too few observations to draw

link juice last seen 2022alt text last seen 2023invisible text last seen 2005

One tile per tracked term, 20042026; dot marks the peak year, percentage is how much of that peak survives in 2026. Each tile is scaled to its own peak — read the shapes and dates, not the heights; the hover text carries each term’s absolute density. A term seen in fewer than four years gets a chip, not a curve — a line through three points invites a trend the data cannot support.

The phrase “keyword density” peaked in 2010 and has lost about four-fifths of its frequency since — the single most-asked question about this dataset, and the answer is a date. But the pattern above it is sharper. Meta keywords, cloaking, doorway pages and page rank all peak in 2004–2006, the corpus’s earliest years, and never recover. The vocabulary that arrived with the field is the vocabulary that died.

Two spelling cases are worth separating. pagerank as one word is the largest early term in the whole set, peaking at 1.387 per 1,000 words in 2006, and retains 46%. page rank as two words retains 10%. The proper noun survived; spelling it out as a generic technique did not. Likewise serps retains 36% while serp singular retains 51% — the plural was jargon, the singular became a noun.

Social media is the largest term in the entire set by an order of magnitude, peaking at 2.684 per 1,000 words. And the terms peaking in 2025 and 2026 are the live vocabulary: artificial intelligence, machine learning, user experience, structured data, large language. Two of them — large language and core web vitals — do not appear anywhere in the corpus before 2022.

Below a third of peak a phrase has effectively left the working vocabulary, even though it still appears in historical passages. That 35% line is a presentation choice, stated so you can move it: the full ordering runs continuously from 5% to 100%.

Every term below is defined in our SEO glossary, which carries all 36 definitions alongside these dates.

Faded — 13 phrases below 35% of peak (full table)
TermFirstPeakPeak /1k2026 /1kRetained
link juice201520150.0040.0000%
alt text202120210.0030.0000%
invisible text200520050.0260.0000%
meta keywords200620060.1160.0055%
cloaking200420040.2560.0249%
doorway pages200420040.0510.00510%
page rank200420040.1280.01310%
meta tags200420040.3840.07519%
keyword stuffing200520050.0910.01921%
keyword density200520100.1150.02421%
link farm200420070.1200.02722%
title tag200520060.0440.01124%
white hat200420060.1240.04334%
Enduring — 23 phrases at or above 35% (full table)
TermFirst seenPeakPeak /1kRetained
structured data200420260.053100%
core web vitals202220240.00899%
large language202220250.12898%
artificial intelligence200620250.18694%
user experience200520250.13992%
machine learning200520250.09391%
content marketing200820200.20291%
search engine results200420070.23386%
mobile-first201620250.01380%
link building200520200.07479%
social media200620222.68476%
black hat200420170.10676%
paid links200720070.04559%
paid inclusion200420050.20856%
serp200620120.19351%
anchor text200420050.20850%
search engine ranking200520070.04547%
pagerank200420061.38746%
organic search200520050.22146%
backlinks200420050.24743%
serps200420050.23436%
reciprocal links200520070.01535%
nofollow200520100.43135%

Part two

Replacements and arrivals

Trade language rarely just dies — it gets replaced. Tracking the old form and the new form of the same idea through the same corpus puts a date on the moment the industry’s language actually turned over.

old form replacement
2004: "web site" at 1.357 per 1,000 words2005: "web site" at 1.066 per 1,000 words2006: "web site" at 0.960 per 1,000 words2007: "web site" at 1.000 per 1,000 words2008: "web site" at 0.829 per 1,000 words2009: "web site" at 0.800 per 1,000 words2010: "web site" at 0.726 per 1,000 words2011: "web site" at 0.720 per 1,000 words2012: "web site" at 0.622 per 1,000 words2013: "web site" at 0.586 per 1,000 words2014: "web site" at 0.463 per 1,000 words2015: "web site" at 0.437 per 1,000 words2016: "web site" at 0.379 per 1,000 words2017: "web site" at 0.354 per 1,000 words2018: "web site" at 0.307 per 1,000 words2019: "web site" at 0.310 per 1,000 words2020: "web site" at 0.301 per 1,000 words2021: "web site" at 0.278 per 1,000 words2022: "web site" at 0.227 per 1,000 words2023: "web site" at 0.187 per 1,000 words2024: "web site" at 0.179 per 1,000 words2025: "web site" at 0.173 per 1,000 words2026: "web site" at 0.144 per 1,000 words2004: "website" at 2.483 per 1,000 words2005: "website" at 2.379 per 1,000 words2006: "website" at 2.250 per 1,000 words2007: "website" at 2.798 per 1,000 words2008: "website" at 3.128 per 1,000 words2009: "website" at 3.113 per 1,000 words2010: "website" at 3.605 per 1,000 words2011: "website" at 3.687 per 1,000 words2012: "website" at 3.740 per 1,000 words2013: "website" at 3.535 per 1,000 words2014: "website" at 3.482 per 1,000 words2015: "website" at 3.571 per 1,000 words2016: "website" at 3.423 per 1,000 words2017: "website" at 3.430 per 1,000 words2018: "website" at 3.359 per 1,000 words2019: "website" at 3.381 per 1,000 words2020: "website" at 3.289 per 1,000 words2021: "website" at 3.292 per 1,000 words2022: "website" at 3.253 per 1,000 words2023: "website" at 3.002 per 1,000 words2024: "website" at 3.065 per 1,000 words2025: "website" at 3.040 per 1,000 words2026: "website" at 3.038 per 1,000 words20042026
web sitewebsite · already decided when the record begins
20112004: "e-mail marketing" at 0.256 per 1,000 words2005: "e-mail marketing" at 0.130 per 1,000 words2006: "e-mail marketing" at 0.133 per 1,000 words2007: "e-mail marketing" at 0.075 per 1,000 words2008: "e-mail marketing" at 0.216 per 1,000 words2009: "e-mail marketing" at 0.173 per 1,000 words2010: "e-mail marketing" at 0.120 per 1,000 words2011: "e-mail marketing" at 0.065 per 1,000 words2012: "e-mail marketing" at 0.057 per 1,000 words2013: "e-mail marketing" at 0.022 per 1,000 words2014: "e-mail marketing" at 0.024 per 1,000 words2015: "e-mail marketing" at 0.022 per 1,000 words2016: "e-mail marketing" at 0.017 per 1,000 words2017: "e-mail marketing" at 0.015 per 1,000 words2018: "e-mail marketing" at 0.015 per 1,000 words2019: "e-mail marketing" at 0.015 per 1,000 words2020: "e-mail marketing" at 0.014 per 1,000 words2021: "e-mail marketing" at 0.019 per 1,000 words2022: "e-mail marketing" at 0.016 per 1,000 words2023: "e-mail marketing" at 0.016 per 1,000 words2024: "e-mail marketing" at 0.016 per 1,000 words2025: "e-mail marketing" at 0.016 per 1,000 words2026: "e-mail marketing" at 0.016 per 1,000 words2004: "email marketing" at 0.128 per 1,000 words2005: "email marketing" at 0.065 per 1,000 words2006: "email marketing" at 0.018 per 1,000 words2007: "email marketing" at 0.218 per 1,000 words2008: "email marketing" at 0.061 per 1,000 words2009: "email marketing" at 0.046 per 1,000 words2010: "email marketing" at 0.044 per 1,000 words2011: "email marketing" at 0.104 per 1,000 words2012: "email marketing" at 0.127 per 1,000 words2013: "email marketing" at 0.159 per 1,000 words2014: "email marketing" at 0.154 per 1,000 words2015: "email marketing" at 0.170 per 1,000 words2016: "email marketing" at 0.190 per 1,000 words2017: "email marketing" at 0.190 per 1,000 words2018: "email marketing" at 0.164 per 1,000 words2019: "email marketing" at 0.165 per 1,000 words2020: "email marketing" at 0.171 per 1,000 words2021: "email marketing" at 0.183 per 1,000 words2022: "email marketing" at 0.186 per 1,000 words2023: "email marketing" at 0.185 per 1,000 words2024: "email marketing" at 0.174 per 1,000 words2025: "email marketing" at 0.168 per 1,000 words2026: "email marketing" at 0.165 per 1,000 words20042026
e-mail marketingemail marketing · crossover 2011
20162004: "internet marketing" at 0.051 per 1,000 words2005: "internet marketing" at 0.273 per 1,000 words2006: "internet marketing" at 0.347 per 1,000 words2007: "internet marketing" at 0.399 per 1,000 words2008: "internet marketing" at 0.465 per 1,000 words2009: "internet marketing" at 0.374 per 1,000 words2010: "internet marketing" at 0.399 per 1,000 words2011: "internet marketing" at 0.367 per 1,000 words2012: "internet marketing" at 0.382 per 1,000 words2013: "internet marketing" at 0.238 per 1,000 words2014: "internet marketing" at 0.203 per 1,000 words2015: "internet marketing" at 0.211 per 1,000 words2016: "internet marketing" at 0.170 per 1,000 words2017: "internet marketing" at 0.177 per 1,000 words2018: "internet marketing" at 0.161 per 1,000 words2019: "internet marketing" at 0.157 per 1,000 words2020: "internet marketing" at 0.153 per 1,000 words2021: "internet marketing" at 0.144 per 1,000 words2022: "internet marketing" at 0.142 per 1,000 words2023: "internet marketing" at 0.135 per 1,000 words2024: "internet marketing" at 0.122 per 1,000 words2025: "internet marketing" at 0.109 per 1,000 words2026: "internet marketing" at 0.101 per 1,000 words2004: "digital marketing" at 0.000 per 1,000 words2005: "digital marketing" at 0.000 per 1,000 words2006: "digital marketing" at 0.009 per 1,000 words2007: "digital marketing" at 0.105 per 1,000 words2008: "digital marketing" at 0.088 per 1,000 words2009: "digital marketing" at 0.155 per 1,000 words2010: "digital marketing" at 0.153 per 1,000 words2011: "digital marketing" at 0.228 per 1,000 words2012: "digital marketing" at 0.184 per 1,000 words2013: "digital marketing" at 0.159 per 1,000 words2014: "digital marketing" at 0.170 per 1,000 words2015: "digital marketing" at 0.200 per 1,000 words2016: "digital marketing" at 0.333 per 1,000 words2017: "digital marketing" at 0.361 per 1,000 words2018: "digital marketing" at 0.439 per 1,000 words2019: "digital marketing" at 0.426 per 1,000 words2020: "digital marketing" at 0.358 per 1,000 words2021: "digital marketing" at 0.364 per 1,000 words2022: "digital marketing" at 0.375 per 1,000 words2023: "digital marketing" at 0.353 per 1,000 words2024: "digital marketing" at 0.388 per 1,000 words2025: "digital marketing" at 0.381 per 1,000 words2026: "digital marketing" at 0.328 per 1,000 words20042026
internet marketingdigital marketing · crossover 2016
2004: "search engine spiders" at 0.051 per 1,000 words2005: "search engine spiders" at 0.104 per 1,000 words2006: "search engine spiders" at 0.089 per 1,000 words2007: "search engine spiders" at 0.068 per 1,000 words2008: "search engine spiders" at 0.061 per 1,000 words2009: "search engine spiders" at 0.052 per 1,000 words2010: "search engine spiders" at 0.049 per 1,000 words2011: "search engine spiders" at 0.055 per 1,000 words2012: "search engine spiders" at 0.047 per 1,000 words2013: "search engine spiders" at 0.044 per 1,000 words2014: "search engine spiders" at 0.041 per 1,000 words2015: "search engine spiders" at 0.037 per 1,000 words2016: "search engine spiders" at 0.033 per 1,000 words2017: "search engine spiders" at 0.028 per 1,000 words2018: "search engine spiders" at 0.027 per 1,000 words2019: "search engine spiders" at 0.026 per 1,000 words2020: "search engine spiders" at 0.026 per 1,000 words2021: "search engine spiders" at 0.019 per 1,000 words2022: "search engine spiders" at 0.022 per 1,000 words2023: "search engine spiders" at 0.021 per 1,000 words2024: "search engine spiders" at 0.022 per 1,000 words2025: "search engine spiders" at 0.021 per 1,000 words2026: "search engine spiders" at 0.021 per 1,000 words2004: "web crawler" at 0.102 per 1,000 words2005: "web crawler" at 0.260 per 1,000 words2006: "web crawler" at 0.240 per 1,000 words2007: "web crawler" at 0.286 per 1,000 words2008: "web crawler" at 0.216 per 1,000 words2009: "web crawler" at 0.173 per 1,000 words2010: "web crawler" at 0.180 per 1,000 words2011: "web crawler" at 0.169 per 1,000 words2012: "web crawler" at 0.170 per 1,000 words2013: "web crawler" at 0.159 per 1,000 words2014: "web crawler" at 0.150 per 1,000 words2015: "web crawler" at 0.130 per 1,000 words2016: "web crawler" at 0.123 per 1,000 words2017: "web crawler" at 0.131 per 1,000 words2018: "web crawler" at 0.125 per 1,000 words2019: "web crawler" at 0.119 per 1,000 words2020: "web crawler" at 0.125 per 1,000 words2021: "web crawler" at 0.119 per 1,000 words2022: "web crawler" at 0.118 per 1,000 words2023: "web crawler" at 0.124 per 1,000 words2024: "web crawler" at 0.125 per 1,000 words2025: "web crawler" at 0.123 per 1,000 words2026: "web crawler" at 0.136 per 1,000 words20042026
search engine spidersweb crawler · already decided when the record begins

The hyphen died in 2011. “email marketing” overtook “e-mail marketing” that year and never fell behind again — a spelling reform you can date to the year. The bigger renaming took longer: digital marketing overtook internet marketing in 2016, the field’s older name for itself giving way in place.

The other two panels show the limit of the record, honestly drawn. website already led web site when the corpus opens in 2004, and web crawler already led search engine spiders — those races were decided before our first snapshot, so the chart can only say “already over,” not when.

When Wikipedia let each phrase in

Wikipedia does not coin language; it admits it. A phrase’s first appearance in this corpus is an acceptance date — the year the encyclopedia judged the term established enough to use — and lining those dates up shows acceptance arriving in waves, not a trickle.

20042010201620222026"anchor text" first recorded 2004anchor text 2004"backlinks" first recorded 2004backlinks 2004"black hat" first recorded 2004black hat 2004"pagerank" first recorded 2004pagerank 2004"paid inclusion" first recorded 2004paid inclusion 2004"search engine results" first recorded 2004search engine results 2004"serps" first recorded 2004serps 2004"structured data" first recorded 2004structured data 2004"link building" first recorded 2005link building 2005"machine learning" first recorded 2005machine learning 2005"nofollow" first recorded 2005nofollow 2005"organic search" first recorded 2005organic search 2005"reciprocal links" first recorded 2005reciprocal links 2005"search engine ranking" first recorded 2005search engine ranking 2005"user experience" first recorded 2005user experience 2005"artificial intelligence" first recorded 2006artificial intelligence 2006"search engine results page" first recorded 2006 (surfaced by discovery, not the tracked list)search engine results page 2006"serp" first recorded 2006serp 2006"social media" first recorded 2006social media 2006"brand awareness" first recorded 2007 (surfaced by discovery, not the tracked list)brand awareness 2007"paid links" first recorded 2007paid links 2007"content marketing" first recorded 2008content marketing 2008"digital advertising" first recorded 2008 (surfaced by discovery, not the tracked list)digital advertising 2008"mobile-first" first recorded 2016mobile-first 2016"general data protection regulation" first recorded 2017 (surfaced by discovery, not the tracked list)general data protection regulation 2017"core web vitals" first recorded 2022core web vitals 2022"large language" first recorded 2022large language 2022
First recorded year of every phrase still in use (35%+ retained) plus the discovered risers (darker dots). Wikipedia lags the trade — these are acceptance dates, not coinages — and a 2004 dot means “already present when the record begins,” not coined that year. 2 of 27 arrive in 2022 or later.

The striking feature is the gap: nothing new got in for seven years. Of the 27 still-current phrases on the timeline, 23 arrive by 2008 — then from 2009 through 2015, not one new phrase enters the corpus. Admission resumes with mobile-first (2016) and general data protection regulation (2017), and the AI-era vocabulary lands as a wave in 2022. The freeze is a claim about this study’s vocabulary — the tracked list plus the discovered risers — not about every phrase in Wikipedia, but it matches the acceptance thesis exactly: an encyclopedia admits a field’s language in bursts, when the language has already settled elsewhere.

How trade language dies — 15 phrases the data surfaced

The list above was chosen by hand. This one was not: every two- and three-word phrase in the corpus was compared between 2004–2009 and 2021–2026, and these are the ones that fell hardest — each appearing in at least eight articles early on, so no single editor’s habit can masquerade as industry-wide jargon. Read together, they show that trade language dies three distinct ways.

Fading phrases, discovered from the corpus — density per 1,000 words, early era (2004–2009) vs late (2021–2026); the glyph draws that fall
PhraseArticlesEarly /1kLate /1kRetained
e-mail spam110.1170.01110%
e-mail marketing110.1570.01711%
robots exclusion standard80.0940.01718%
google yahoo msn150.0690.01624%
yahoo search marketing120.0780.01924%
open directory project120.0660.01625%
instant messaging130.0940.02527%
live search130.3100.08628%
search engine spiders90.0690.02131%
world wide web471.0750.34932%
ask jeeves100.1230.04134%
click through110.0660.02234%
internet marketing410.3640.12534%
markup language80.1590.05836%
image search120.0630.02438%

Compression. Robots exclusion standard keeps under a fifth of its old frequency; world wide web and markup languageroughly a third. Nobody writes those out any more — they write robots.txt, the web, HTML. The concept survives; the words collapse into an abbreviation.

Product death. Yahoo search marketing, open directory project, ask jeeves, live search — the jargon died with the products it named. And the three-name reflex of the era, google yahoo msn, is nearly gone: naming a search engine used to mean naming three, and now it means naming one.

The trade’s own words, fading in place. Internet marketing — the field’s older name for itself — keeps a third of its former use. And search engine spiders, the exact phrase Sherwoodseo created as a redirect at 23:45 on the founding night, keeps under a third. The jargon he wired into the encyclopedia is now fading out of it.

And sometimes the trade’s word wins. The most formal name in the early corpus, unsolicited commercial e-mail, keeps 2% of its 2004 frequency — the encyclopedia now just writes spam, the word the trade always used. Hyper text markup language spelled out is gone entirely, last seen 2019. Compression wins even against formality.

Part three

The night it was accepted

Sherwoodseo made 102 edits in their entire Wikipedia lifetime. Nine of them, in sixty minutes, moved the trade’s vocabulary into the encyclopedia.

22:58Sherwoodseo creates the article Search engine optimization
23:13Expands it — “how search engine rankings are improved; history and industry overview”
23:22Edits the existing Meta element article — “addition of commercial uses of meta tags”
23:43Creates a new page, Search engine spider, containing only a redirect to the existing article Web crawler — “redirect of synonymous terms”
23:45Creates Search engine spiders, the plural, the same way
23:50Edits the existing Search engine (computing) article — adds a “How Search Engines Work” section and a passage on search engines as stars of the late-1990s investing frenzy
23:51Creates Initial public offerings, the link just added
23:54Creates the page Seo as a redirect to Search engine optimization
23:58Creates a user page, “my bio”

It attaches to what was already there

Four of the nine edits are not about SEO as a topic at all. They reach into articles the encyclopedia already had — Web crawler, Meta element, Search engine — and connect the trade’s vocabulary to them. The two redirects work in that direction: a new page called Search engine spider was created whose entire content pointed readers to the existing Web crawler article. The practitioner’s word for the thing was filed as another name for the encyclopedia’s word.

Accepted, not smuggled

This was reviewed. At 23:56 the new editor left a one-word message on their own talk page; within the hour an established editor, Hephaestos, replied “Hello! Welcome to the ‘pedia”. The next morning Hephaestos edited both Meta element and Search engine (computing) — the two existing articles Sherwoodseo had touched. The additions stood. That is what acceptance looks like in a reference work: a newcomer’s contribution inspected by a regular and left in place.

The history was asserted, not sourced

The first revision opens by dating the practice to the mid-1990s and carries no citations at all. An unsourced origin story, written by a practitioner, became the encyclopedia’s account of when the field began — and is still roughly the story told today.

Part four

The naming contest

Once a term is in, the encyclopedia has to rule on its rivals. The SEO article has accumulated 79 dated redirects, and read chronologically they are a six-year sequence of verdicts — each one an editor deciding that some other name for the work meant this one.

Rival names absorbed into “search engine optimization”
DateTerm absorbedDecided by
2004-05-17Searchability optimizationJmabel
2005-08-12Search engine engineering66.120.119.115
2005-12-03Search engine rankingSearch Engines Web
2006-06-01Search Engine PlacementGuruweb
2006-06-01Search Engine PositionGuruweb
2006-11-19Search engine prominenceSepguy
2007-04-14Search Optimization MarketingRHaworth
2010-03-17Key search engineeringDannycarney
2010-10-31Digital Asset OptimizationCesareone

Key search engineering is the most revealing of them. It was not a convenience redirect — it was an 8,646-character article whose opening sentence is a near-verbatim fork of the SEO article’s lead. In March 2010 somebody tried to rename the entire field and was absorbed back within the year.

The acronym took far longer to be accepted than the phrase. Seo pointed at the article from day one in 2003, but SEO in capitals was not pointed there until 13 March 2011 — and it was contested, reverted to the disambiguation page three weeks later, then re-pointed. Eight years after the industry was using the acronym daily, Wikipedia was still arguing about whether it primarily meant this.

Part five

Where the sources go

A citation is a link out of the encyclopedia. Tracked over 25 years, those links tell a second story about search-marketing sources: most of them do not last. The same corpus that retired the founding vocabulary also retired the founding citations — language and sources turn over together.

8,232Distinct domains ever cited
55%No longer cited by 2026
4Median years a domain stays cited
2,139Cited in one year only

More than half of every domain the encyclopedia ever cited on these topics has since been dropped, and the typical source survives just 4 of 23 years. But the attrition is not uniform — it depends heavily on when a source first appeared.

The earlier a source arrived, the faster it left

newest cohort oldest cohort
25%50%75%100%2006 cohort, +0 years: 100% still cited2006 cohort, +1 years: 46.4% still cited2006 cohort, +2 years: 35.8% still cited2006 cohort, +4 years: 32.3% still cited2006 cohort, +6 years: 30.6% still cited2006 cohort, +8 years: 30.1% still cited2006 · 30.1%2010 cohort, +0 years: 100% still cited2010 cohort, +1 years: 83.1% still cited2010 cohort, +2 years: 71% still cited2010 cohort, +4 years: 63.4% still cited2010 cohort, +6 years: 57.8% still cited2010 cohort, +8 years: 52.3% still cited2010 · 52.3%2014 cohort, +0 years: 100% still cited2014 cohort, +1 years: 84.2% still cited2014 cohort, +2 years: 77% still cited2014 cohort, +4 years: 69.8% still cited2014 cohort, +6 years: 62.8% still cited2014 cohort, +8 years: 59.6% still cited2014 · 59.6%2018 cohort, +0 years: 100% still cited2018 cohort, +1 years: 75.5% still cited2018 cohort, +2 years: 72.5% still cited2018 cohort, +4 years: 66.2% still cited2018 cohort, +6 years: 61.7% still cited2018 cohort, +8 years: 55.4% still cited2018 · 55.4%first cited+4y+8y
Share of external domains still cited over their first 8 years, by the year they first appeared. Each line is one cohort; n = 2006: 601 · 2010: 396 · 2014: 374 · 2018: 269.

Every cohort is tracked over the same eight-year window, so the comparison is fair. Of the domains first cited in 2006, fewer than half survived even a single year, and 30.1% lasted the eight. The 2018 cohort held 55.4% over the same span. Stretch the 2006 line all the way to today and only 25.3% remain. Early search-marketing citations were disposable in a way later ones are not — the blog posts, forum threads and defunct tools of the mid-2000s, cited once and replaced.

The encyclopedia stopped talking to itself

234568902004: 83.6 internal links per 1,000 words2004: 13.6 external citations per 1,000 words2005: 68.7 internal links per 1,000 words2005: 13 external citations per 1,000 words2006: 72.6 internal links per 1,000 words2006: 15.4 external citations per 1,000 words2007: 79.3 internal links per 1,000 words2007: 17.5 external citations per 1,000 words2008: 75.7 internal links per 1,000 words2008: 18 external citations per 1,000 words2009: 70.6 internal links per 1,000 words2009: 19.3 external citations per 1,000 words2010: 72.4 internal links per 1,000 words2010: 21.1 external citations per 1,000 words2011: 70.6 internal links per 1,000 words2011: 22.5 external citations per 1,000 words2012: 71.7 internal links per 1,000 words2012: 23.7 external citations per 1,000 words2013: 56.1 internal links per 1,000 words2013: 27.3 external citations per 1,000 words2014: 54.6 internal links per 1,000 words2014: 27.7 external citations per 1,000 words2015: 53.5 internal links per 1,000 words2015: 28.3 external citations per 1,000 words2016: 50.8 internal links per 1,000 words2016: 27.4 external citations per 1,000 words2017: 50.9 internal links per 1,000 words2017: 28.8 external citations per 1,000 words2018: 51 internal links per 1,000 words2018: 29.5 external citations per 1,000 words2019: 52.5 internal links per 1,000 words2019: 30.1 external citations per 1,000 words2020: 53.1 internal links per 1,000 words2020: 31.2 external citations per 1,000 words2021: 53.8 internal links per 1,000 words2021: 31.6 external citations per 1,000 words2022: 54.1 internal links per 1,000 words2022: 32.8 external citations per 1,000 words2023: 54.6 internal links per 1,000 words2023: 34.4 external citations per 1,000 words2024: 56 internal links per 1,000 words2024: 35.1 external citations per 1,000 words2025: 56.4 internal links per 1,000 words2025: 35.8 external citations per 1,000 words2026: 56.8 internal links per 1,000 words2026: 36.6 external citations per 1,000 wordsinternal 56.8external 36.620042010201620212026
Links per 1,000 words. Both series share a unit and therefore one axis. Internal links outnumbered external citations 6.14:1 in 2004 and 1.55:1 in 2026.

External citations nearly tripled — 13.6 to 36.6 per 1,000 words — while internal wikilinks fell by a third. In 2004 these articles linked inward 6.14 times for every outward citation; by 2026 that ratio is 1.55. The subject went from something Wikipedia explained mostly by cross-reference to something it documented from outside sources — the same shift, measured a third way.

View the data as a table
Link density per 1,000 words
YearExternalInternalInternal : external
200413.683.66.14
20051368.75.29
200615.472.64.72
200717.579.34.54
20081875.74.21
200919.370.63.66
201021.172.43.42
201122.570.63.13
201223.771.73.03
201327.356.12.05
201427.754.61.97
201528.353.51.89
201627.450.81.85
201728.850.91.77
201829.5511.73
201930.152.51.74
202031.253.11.7
202131.653.81.7
202232.854.11.65
202334.454.61.59
202435.1561.6
202535.856.41.57
202636.656.81.55

Part six

Who gets cited

A reference work shows what it accepts by what it cites. Start with the first bibliography the field ever had — and what became of it.

The launch article had no sources at all

The 24 February 2003 revision carries zero external links. It was written from the author’s own knowledge, including the claim about when the practice began. The first seven citations appear in the 2004 snapshot, and they are the opening reading list for the whole discipline.

The first seven external citations, checked 2026-08-18
Cited domainStatus todayWhat it serves now
searchenginewatch.comStill operating
google.comRedirects elsewheredevelopers.google.com
realseo.comHost placeholder pageWelcome realseo.com - BlueHost.com
threadwatch.orgRedirects elsewhereinternetmarketingninjas.com
seopages.comDomain goneDNS does not resolve
toprank.blogspot.comStill operatingMinneapolis SEO Blog
seo-glossary.comResolves, serves nothing

6 of the 7 domains still answer. Only 2 are still operating as themselves. That gap is the whole point of checking. A link checker counting HTTP 200s would report six survivors: realseo.com returns a hosting-provider placeholder, seo-glossary.com returns 163 empty bytes, and threadwatch.org redirects into the company that absorbed it. Only searchenginewatch.com — publishing same-day news when we checked — and toprank.blogspot.com are still doing what they were cited for.

The one genuinely dead entry is seopages.com: its name no longer resolves in DNS at all. And the most durable is the one nobody would call a citation — google.com/webmasters/seo.html still resolves, twenty-two years later, by redirecting to Google’s current SEO starter guide. The platform kept its content addressable across two decades of reorganisation; most of the independent trade did not.

Concentration across the whole period

One hypothesis this study set out to test was that large platforms have come to dominate these pages. The data does not support it, and points the other way.

Full tables: concentration by year, and the most-cited domains by era
YearCitationsDistinct domainsTop-10 shareHHI
200453236316%0.0065
20103,8711,57818.1%0.0055
20168,2462,95513.3%0.0033
202010,9693,35615.1%0.0041
202613,7263,68515.8%0.0045
Most-cited domains, by era
Year1st2nd3rd4th
2004google.com 4.9%w3.org 2.3%nytimes.com 1.7%wired.com 1.3%
2010google.com 3.6%forbes.com 3.2%nytimes.com 2.2%w3.org 2.1%
2016google.com 2%nytimes.com 1.9%techcrunch.com 1.5%w3.org 1.4%
2020nytimes.com 2.8%techcrunch.com 1.7%google.com 1.5%theverge.com 1.5%
2026nytimes.com 3.1%theverge.com 2%techcrunch.com 1.7%theguardian.com 1.4%

Between 2004 and 2026 the number of distinct domains cited grew from 363 to 3,685 — a 10× widening — while the top-10 share moved from 16% to 15.8%. By the Herfindahl–Hirschman index these pages are measurably less concentrated now than in 2004.

What changed is who

Every citation is classified against a curated list of platforms, publishers, vendors, academic and government domains. Roughly 78.2% of citations fall outside that list, so the shares below are quoted against all citations rather than against the classified subset — the honest denominator, and the reason this is two series rather than a pie.

Platform domains   Publisher domains  — share of all citations, crossover 2014

Platform citations peak at 12.3% in 2005 and fall to 7%. Publisher citations rise from 4.5% to 12.2%. They cross in 2014, and publishers never fall behind again.

google.com was the single most-cited domain in 2004, at 4.9% of all citations. By 2026 it has dropped out of the top four entirely, displaced by nytimes.com. The press replaced the platform.

The encyclopedia did not stop covering search. It stopped leaning on the industry’s account of itself — including Google’s — and moved to journalism about it. Acceptance, in a reference work, means being written about rather than being the one writing.

Method

Wikipedia is used here as an instrument, not a subject. An encyclopedia has to decide what words mean, and every one of those decisions is recorded, timestamped and signed: article genesis, redirect genesis, deletion, and the deletion debate itself — which survives in full even after the article it removed is gone. Because a reference work adopts a term only after it is established elsewhere, these dates measure acceptance, not invention.

Two spans, and they are not the same

The naming record runs from March 2001 to August 2026 — twenty-five years, because creation dates and redirect genesis exist from the beginning. The text corpus is 23 yearly snapshots covering 20042026, which is as far back as retrievable full-article captures go. Vocabulary measurements use the shorter span; genesis and naming findings use the longer one.

How retention is measured

A term’s retention is its 2026 density as a share of its peak density — measured at the corpus’s last year, not at the term’s own last appearance. A phrase absent from the 2026 text retains 0%, with its last sighting reported separately. The distinction matters: measured at its own last nonzero year, an extinct phrase reads as fully alive — invisible text, unseen since 2005, would score 100%. Every retention figure on this page is recomputed from the raw yearly densities by an automated check before publication.

Limits

Wikipedia’s public deletion log begins 23 December 2004, so anything created and removed before that date is invisible to this method — which is why the 2003 article can only be called the earliest surviving attempt.

Vocabulary is measured on the text corpus, which starts in 2004; the 14 months between the article’s creation and the first retrievable snapshot are dated in the naming record but not measurable as prose. Domain classification is a curated list covering about 22% of citations, so platform and publisher shares are quoted against all citations rather than against the classified subset.

What Wikipedia deleted — the trade bodies, the conferences, the practitioners — is a substantial record in its own right and is deliberately not here. It is a question about institutions rather than about phrasing, and it is being written up separately.

Built with

The corpus is 6,083 yearly article snapshots pulled from Wikipedia’s own APIs and archived as Parquet on object storage; every n-gram measurement on this page is computed from that archive with DuckDB and committed as a versioned artifact before it renders. Our Wayback Machine MCP did the parts no live API can: recovering the bodies of deleted revisions and verifying what the founding citations serve today. Every chart is server-rendered SVG generated from those artifacts — no client JavaScript — and a verification harness recomputes all of the published figures from the raw artifacts on every change. Built with Claude.

Questions this research answers

When did people stop using the term "keyword density"?
Use of the phrase 'keyword density' peaked on Wikipedia in 2010 and retains just 21% of that peak frequency today. This measures how often the term is written, not whether the technique works — the phrase has left the working vocabulary of the SEO industry.
When did "SEO" become the accepted term?
The Wikipedia article Search engine optimization was created on 24 February 2003 at 22:58 UTC. The term was already in professional use — the editor who created it used the account name Sherwoodseo — so 2003 marks acceptance by the wider community, not invention.
What is spamdexing, and did it come before SEO?
Spamdexing is deliberately modifying pages to rank higher in search results. Wikipedia documented it on 10 March 2002, eleven and a half months before it had an article on search engine optimization. The abuse was named before the profession was.
Which SEO terms have died out?
Measured against peak frequency in 2026: meta keywords retains 5%, cloaking 9%, doorway pages 10%, page rank 10%, meta tags 19% and keyword stuffing 21% — all peaked between 2004 and 2006. Three phrases have left the corpus entirely: invisible text (last seen 2005), link juice (2022) and alt text (2023), each now at 0%.
Which SEO terms are still in use?
Structured data, large language models, artificial intelligence, machine learning and user experience all peak in 2025 or 2026. Large language and core web vitals do not appear anywhere in the corpus before 2022.

Cite this

SEO Bandwagon, "History of SEO Terms and Jargon on Wikipedia" (2026-08-16). https://seobandwagon.com/research/how-spamdexing-became-seo

We measure things other people guess at

This study came out of the same tooling we point at client sites — archives, revision histories and search data, read as evidence rather than anecdote.

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