Brands over time

E.ON Next
over time

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

132 of E.ON Next's own blog posts, press releases and announcements, 2021 to 2026, measured sentence by sentence. How the writing has moved over the years, how it compares with 11 other energy suppliers, and what it sounds like in its own words.

Pages measured
132
Years covered
2021–26
Archived before ChatGPT
0
Blog · press
132 · 0

01 · Homepage

One capture a year

E.ON Next's homepage from 2021 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.

2026eonnext.com23 Jun 2026
E.ON Next homepage, 23 Jun 2026

Screenshot of E.ON Next’s homepage (eonnext.com) as archived by the Internet Archive on 23 Jun 2026. © E.ON Next or its licensors. Shown for comparison and review; not endorsed by E.ON Next.

Homepage

2026

“Next Smart Saver. Wash for less while you watch every match.”

Page title

Energy: Your home electricity & gas suppliers

Open on the Internet Archive
  1. 2021Choose the right tariff for you.
  2. 2022What our energy customers say about us.
  3. 2023Why you'll want to switch to us:
  4. 2026Next Smart Saver. Wash for less while you watch every match.

5 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.
5
10
15
Energy avg 14.8
13.9
12.9
12.3
14.2
14.3
13.9
ChatGPT · Nov 2022
2015no pages
2016no pages
2017no pages
2018no pages
2019no pages
2020no pages
20212 pp
20221 pp
20234 pp
20247 pp
202518 pp
202613 pp
10 or more pagesFewer than 10 pages: context, not a findingSector averageChatGPT released
Show as a table
YearSentence lengthPages
202113.92
202212.91
202312.34
202414.27
202514.318
202613.913

Years with pages: 2021 (2), 2022 (1), 2023 (4), 2024 (7), 2025 (18), 2026 (13). 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

E.ON Next among energy suppliers

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

    83% more than its sector

    7.1 against a sector average of 3.9; highest of 11.

  2. Em dashes

    77% less than its sector

    0.69 against a sector average of 2.96; 2nd lowest of 11.

  3. "We"

    58% less than its sector

    18% against a sector average of 42%; 2nd lowest of 11.

Sentence length3rd lowest of 11
E.ON Next 14.0
13.316.4
ContractionsMid-table, 6th of 11
E.ON Next 16.5
8.024.4
"You"2nd highest of 11
E.ON Next 79%
28%85%
"We"2nd lowest of 11
E.ON Next 18%
14%65%
QuestionsHighest of 11
E.ON Next 7.1
1.77.1
Long words3rd lowest of 11
E.ON Next 21%
19%32%
Em dashes2nd lowest of 11
E.ON Next 0.69
0.157.68
AI-associated wordsMid-table, 5th of 11
E.ON Next 1.40
0.552.62
ExclamationsMid-table, 7th of 11
E.ON Next 0.67
0.001.86
Page lengthHighest of 11
E.ON Next 1,774
6681,774

Pages measured: ScottishPower 220 · Utilita 70 · Good Energy 290 · Ecotricity 27 · Outfox the Market 0 · Fuse Energy 232 · Octopus Energy 289 · British Gas 199 · EDF 280 · OVO 157 · E.ON Next 132 · So Energy 53. Measures and method: SGR-010; the brand list and sectors come from SGR-009.

04 · Vocabulary

Words E.ON Next 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.

battery94.5 vs 14.1
heat134.2 vs 40.7
pumps51.2 vs 10.5
optimise27.9 vs 2.1
pump61.2 vs 15.4
charger39.8 vs 7.6
savings43.3 vs 10.0
home134.5 vs 59.2
rating21.4 vs 2.2
solar111.2 vs 48.0
charging65.5 vs 22.5
citizens15.8 vs 0.9
E.ON NextSector peers

Uses per 10,000 words, ranked by weighted log-odds (Monroe et al. 2008) across 132 pages. Product names and page furniture filtered automatically; list not yet reviewed.

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.

202128 Jun · Blog
“If you've ever seen the roller coaster of a graph that is your energy use, then you'll know that there's a big dip through the summer months as we all embrace the warm weather. Well, warmish.”
Prep your home for summer: energy-efficient tips
202419 Aug · Blog
“First things first, when talking about heat pumps, it’s worth noting that there are two main types - air source heat pumps and ground source heat pumps. Both types extract heat from their surroundings, and use that heat to run a heating system.”
Smart heating choices: Are heat pumps worth it?
202616 Apr · Blog
“We’re living through a shift in how we power our properties. The transition to ‘smart’ property management is well and truly underway, and for UK landlords, it’s about more than just convenience – it’s about keeping up with the competition.”
Commercial Property Smart Meters For Landlords

06 · Every page

All 132 pages, by year

The full list behind every number above, with links to the live page or the archived copy. 132 count towards the measures. Pages with no reliable date count in the overall numbers but in no year.

202613 pages
202518 pages
20247 pages
20234 pages
20221 page
20212 pages
In the overall numbers, no year87 pages

07 · Method

How this was measured

The pages

E.ON Next'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?.