Brands over time

Wessex Water
over time

Every year keeps its colour across every chart.│ ChatGPT, 30 Nov 2022

97 of Wessex Water's own blog posts, press releases and announcements, 2020 to 2025, measured sentence by sentence. How the writing has moved over the years, how it compares with 9 other water companies, and what it sounds like in its own words.

Pages measured
97
Years covered
2020–25
Archived before ChatGPT
0
Blog · press
2 · 95

01 · Homepage

One capture a year

Wessex Water's homepage from 2000 to 2026, closest to 1 July, from the Internet Archive. Pick a year or press play. Each headline is quoted from its capture and links to the archived copy.

2026wessexwater.co.uk20 Jun 2026
Wessex Water homepage, 20 Jun 2026

Screenshot of Wessex Water’s homepage (wessexwater.co.uk) as archived by the Internet Archive on 20 Jun 2026. © Wessex Water or its licensors. Shown for comparison and review; not endorsed by Wessex Water.

Homepage

2026

“Small switches can have a big impact”

Page title

Wessex Water

Open on the Internet Archive
  1. 2011I would like to...
  2. 2017Household bills and accounts
  3. 2020Struggling to pay your bills?
  4. 2022SN13 - Sewer Flooding
  5. 2024Save water in the shower
  6. 2026Small switches can have a big impact

24 captures. Screenshots are rendered from the archive and can pull in images archived later than the page itself; dates come from the capture. Years without a capture are greyed out in the strip.

02 · Measures by year

How the writing moved

Every year’s pages, averaged. Pick a measure. Hatched bars rest on fewer than 10 pages: context, not a finding. The page count sits under each year.

Sentence lengthAverage words per sentence.
8
16
24
Water avg 16.0
11.5
16.4
23.5
14.3
ChatGPT · Nov 2022
2015no pages
2016no pages
2017no pages
2018no pages
2019no pages
20201 pp
20211 pp
2022no pages
2023no pages
20241 pp
20254 pp
2026no pages
10 or more pagesFewer than 10 pages: context, not a findingSector averageChatGPT released
Show as a table
YearSentence lengthPages
202011.51
202116.41
202423.51
202514.34

Years with pages: 2020 (1), 2021 (1), 2024 (1), 2025 (4). Dates come from page metadata, structured data, the URL, or the month a page was first archived (a latest possible date).

03 · Against its sector

Wessex Water among water companies

Each dot is one brand’s mean across all its measured pages; the tick is the sector average. Only brands with 10 or more measured pages are shown or counted. Select a dot to open that brand.

  1. Questions

    115% more than its sector

    3.0 against a sector average of 1.4; 2nd highest of 10.

  2. Contractions

    35% less than its sector

    7.3 against a sector average of 11.3; 2nd lowest of 10.

  3. "You"

    30% less than its sector

    17% against a sector average of 24%; 4th lowest of 10.

Sentence length3rd highest of 10
Wessex Water 17.7
10.720.8
Contractions2nd lowest of 10
Wessex Water 7.3
6.817.1
"You"4th lowest of 10
Wessex Water 17%
3%50%
"We"4th highest of 10
Wessex Water 76%
40%95%
Questions2nd highest of 10
Wessex Water 3.0
0.03.4
Long words4th highest of 10
Wessex Water 29%
24%31%
Em dashesMid-table, 6th of 10
Wessex Water 1.71
0.563.24
AI-associated wordsMid-table, 5th of 10
Wessex Water 1.02
0.532.20
Exclamations2nd lowest of 10
Wessex Water 0.22
0.072.62
Page length4th lowest of 10
Wessex Water 576
5141,356

Pages measured: Thames Water 106 · Severn Trent 115 · United Utilities 153 · Anglian Water 26 · Wessex Water 97 · South West Water 185 · Welsh Water 208 · Affinity Water 100 · Scottish Water 16 · South East Water 232. Measures and method: SGR-010; this sector and its brands were added by Brands over time, measured exactly as the studies measured theirs. Sector averages and ranks cover every brand in the sector on this site.

04 · Vocabulary

Words Wessex Water uses more than its peers

The words this brand reaches for more often than the rest of its sector. This is subject matter more than voice.

overflows32.1 vs 2.9
dorset20.0 vs 0.2
phosphorus19.0 vs 0.2
recycling21.5 vs 1.9
wetland15.3 vs 0.6
storm32.4 vs 4.7
bristol17.2 vs 1.1
somerset16.8 vs 0.1
sewer36.5 vs 7.9
wiltshire9.0 vs 0.2
stour8.7 vs 0.3
bath8.1 vs 0.3
nature-based9.0 vs 0.7
sewage21.8 vs 4.1
sampling7.8 vs 0.5
discharges8.4 vs 0.7
Wessex WaterSector peers

Uses per 10,000 words, ranked by weighted log-odds (Monroe et al. 2008) across 97 pages. Checked for product names and page furniture.

05 · In its own words

What it sounded like

Openings of real pages, quoted word for word, oldest first. Each links to the page, or to the Internet Archive’s copy when it has gone.

2021 · Press
“From cleaning beaches and packing food supplies to making improvements to schools and community farms, our volunteers helped to make a real difference in their communities this year.”
A helping hand for communities in 2021
20224 Jan · Press
“The company said it was the right thing to do to help alleviate traffic congestion in the city, adding that this will be the final weekend of potential disruption in the Avon Street area.”
Sewerage work to be halted to alleviate congestion
2025 · Press
“Next year’s bills will increase by approximately 9% and, in real terms, bills will still be lower in 2030 than in 2010. Our plan does not include any investment that has already been funded and we are not asking customers to pay twice.”
Update on Wessex Water’s 2025-30 business plan

06 · Every page

All 106 pages, by year

The full list behind every number above, with links to the live page or the archived copy. 97 count towards the measures; the rest were not measured (3 pdf report (annual report, info pack), 3 under 150 words of text, 3 mostly short lines (lists, tables, link pages) rather than prose). Pages with no reliable date count in the overall numbers but in no year.

20254 pages
20241 page
20211 page
20201 page
In the overall numbers, no year90 pages
Not measured9 pages

07 · Method

How this was measured

The pages

Wessex Water's own blog posts, press releases and announcements, fetched from the live site in 2026 and from the Internet Archive for 2015 to November 2022. Homepages are shown as captures; product and help pages are not measured.

The measures

Code counts from ScriptGrain’s writing instruments: sentence length and rhythm, contractions, pronouns, punctuation, long words, and three published lists of AI-associated words. No AI model reads or judges any page.

What it cannot say

These measures describe style. They cannot tell who or what wrote a page, and nothing here says or implies that any brand used AI to write.

Sample sizes

Every number carries its page count. Years under 10 pages, and before-and-after comparisons with under 10 pages on a side, are shown as context only.

Sentence length
Average words per sentence.
Sentence rhythm
How much sentence length varies (standard deviation over mean). Higher reads less even.
Contractions
Contractions (we're, you'll, it's) per 1,000 words. A rough gauge of how conversational the writing is.
"You"
Share of I/we/you pronouns that are "you": how much the writing addresses the reader.
"We"
Share of I/we/you pronouns that are "we": how much the writing talks about the organisation.
Questions
Question marks per 1,000 words.
Exclamations
Exclamation marks per 1,000 words.
Long words
Share of words with seven or more letters.
Em dashes
Em dashes per 1,000 words.
AI-associated words
Words from SGR-007's three AI-associated lists, per 1,000 words. These are style markers that people used long before ChatGPT; a higher rate says nothing about who or what wrote the page.
AI-era marketing words
Marketing words that became more common in AI-era copy (seamless, elevate, unlock...), per 1,000 words. A style measure only.
Quieter LLM-favoured words
Everyday words language models are known to over-use, per 1,000 words. A style measure only.
AI-associated sentence shapes
Sentence patterns such as "not just X, but Y", found by ScriptGrain's cliche checker, per 1,000 words. A style measure only.
Page length
Average words per page.

Studies: SGR-009: Do brands in the same sector sound the same? · SGR-010: How UK brands write · SGR-011: Did brand writing change after ChatGPT?.