The verdict in three sentences
In 2026, three options coexist to translate a B2B site: specialized human translation (0.12-0.20 EUR/word), AI post-editing (0.05-0.09 EUR/word) and raw AI (near free but risky). The right choice depends on the page's stakes: human for commercial and legal, AI post-editing for documentation, raw AI reserved for internal drafts. A bad translation does not only cost image: it hurts SEO and creates legal exposure.
The three options priced on a 12,000-word site
The question is not "which is cheapest" but "what quality level for which page type". The table compares the three 2026 approaches for a B2B site of 12,000 words per language.
| Option | Price / word | Cost 12,000 words | Quality | Risk |
|---|---|---|---|---|
| Specialized human translation | 0.12 - 0.20 EUR | 1,440 - 2,400 EUR | excellent | low |
| AI post-editing (human-reviewed) | 0.05 - 0.09 EUR | 600 - 1,080 EUR | good | controlled |
| Raw AI (no review) | ~0.002 EUR | ~24 EUR | variable | high |
| Native proofreading only | 0.04 - 0.06 EUR | 480 - 720 EUR | depends on source | medium |
The gap between human and AI post-editing is about 1,300 EUR on this volume. Raw AI looks unbeatable, but a mistranslation on a terms-and-conditions page or a technical product sheet can cost far more than a professional translation.
Which option for which page
The winning 2026 strategy is hybrid: segment the site by criticality. Here is a decision grid by content type.
| Page type | Recommended option | Rationale |
|---|---|---|
| Commercial / homepage | Specialized human | brand image, conversion |
| Legal notices / T&Cs | Specialized human | legal risk |
| Technical product sheets | AI post-editing | volume + terminology precision |
| Blog articles / FAQ | AI post-editing | volume, frequent updates |
| Internal drafts | Raw AI | non-public use |
The SEO impact is real: a word-for-word translation ignores the keywords actually searched in the target language. Localization, even via AI post-editing, captures local search intent and avoids content perceived as duplicate or low quality.
Mini case study
Claire, marketing director of an industrial SME in Lyon, must translate her 12,000-word site from French into English and German. She segments: 3,000 critical words (commercial + legal) in human translation at 0.16 EUR/word = 480 EUR per language, and 9,000 words (products + blog) in AI post-editing at 0.07 EUR/word = 630 EUR per language. Total per language: 1,110 EUR, i.e. 2,220 EUR for two languages. Against all-human (2 x 2,040 EUR = 4,080 EUR), she saves 1,860 EUR without sacrificing quality where it matters.
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FAQ
Should raw AI really be avoided?
Not entirely: it suits internal drafts and disposable content. On public B2B pages, the absence of review exposes you to mistranslations that harm image and SEO. For almost no extra cost, AI post-editing secures the result.
What is the difference between translation and localization?
Translation transposes words; localization adapts meaning, units, examples and keywords to the target market. For SEO and conversion, localization is essential on commercial pages.
How much does AI post-editing cost in 2026?
Between 0.05 and 0.09 EUR/word, i.e. 600 to 1,080 EUR for 12,000 words. It is the best quality/price ratio for large, non-critical volumes.
Does a bad translation carry legal impact?
Yes, notably on T&Cs, warranties and safety sheets: a mistranslation can engage the company's liability. These pages should always go through specialized human translation.
Must translation be redone at every update?
No: a translation memory reuses already-validated segments, sharply reducing update costs. You only pay for new words at your chosen option's rate.
Let's scope your project. Send us the word count per language and how your pages split by criticality: we propose a hybrid human/AI strategy priced per word. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
