A glossary is a controlled word list that establishes which term you use for which concept, in every language. It is more than a dictionary: it also contains instructions about when a term is used, which variants should be avoided and any relevant context.

In AI content production, the glossary serves as input for the prompt or as a post-editing instruction. The model then knows that a specific term must always be used in a consistent way and never substituted with an alternative, unless specifically intended.

Not every term needs to be in a glossary. Focus on:

Product names and services: Official names that must not be translated or adapted.

Sector-specific terms: Technical jargon where consistency is critical and multiple translations exist.

Brand-specific concepts: Terms that are specific to your organisation and have a fixed definition.

Incorrect variants: Terms to avoid, with an explanation of why.

Start with a core glossary of 50 to 100 terms. This is manageable and has an immediate impact on the most common inconsistencies.

Step 1: inventory existing content. Analyse published content to identify which terms are used most often and where inconsistencies occur.

Step 2: determine preferred terms. For each term: which variant is the official choice? Base this on brand strategy, SEO considerations and user expectations.

Step 3: translate per language. Work out the equivalent terms for each language version. Involve native speakers in this step: machine translation of terminology sometimes produces terms that are not common in the target language.

Step 4: document context and usage. Record not just the term but also when it is used, which variants should be avoided and any exceptions.

A glossary only has value if it is used. Integrate it in two ways.

In AI prompts: Add the most relevant terms as instructions to the prompt. "Always use 'subscription', never 'membership' or 'plan'."

In the review step: Give reviewers the glossary as a reference. Make terminology checks an explicit part of the review protocol.

Some content management systems and CAT tools (Computer Aided Translation) support glossary integration automatically. This is more efficient at high volumes.

A glossary is not a one-time document. Terms change along with products, market strategy and language use. Schedule periodic maintenance: at least a quarterly check for currency.

Assign someone responsibility for management. Without ownership, a glossary becomes outdated. That can sometimes be worse than having no glossary at all, because outdated terms actively steer incorrect usage.

At Mach8, we work with structured glossaries as part of multilingual content production projects. We help with building, integrating into the production process and managing the glossary over time.

A well-maintained glossary is a relatively small investment with a significant impact on the consistency and quality of multilingual AI content. It is a prerequisite for professional multilingual content production at scale.

Want to set up a glossary as part of your multilingual content production? Read more about multilingual content at Mach8.