If research mentions “visibility”, the product team writes “combined view” and an ad promises “complete control”, the team may think it is using synonyms. The phrases can still carry different promises. A customer glossary helps writers choose consistent language for ChatGPT ads and recognise when a word changes the meaning.
Keep the glossary small enough to use. It does not need to contain every term in the industry. Start with recurring customer expressions, words that are easily misunderstood and terms affecting how the offer is perceived. This guide uses a fictional booking tool and does not establish capabilities of any real product.
The result should be a shared reference for meanings that recur in briefs, ads and reviews. This is an editorial working method. The audience and context overview explains how this language work fits into planning ads in ChatGPT.
Collect the term with its situation
A word without context is easy to overinterpret. Record what the person was doing when they used it. If “visibility” refers to seeing next week’s appointments, it should not automatically imply oversight of the whole business’s finances or capacity.
Keep a source reference and distinguish direct quotations from summaries. An internal glossary often only needs a short paraphrase explaining the meaning. Turning that material into a published testimonial requires a separate decision, not merely a completed glossary entry.
Use the sales-call language guide or review coding method when the raw material needs interpretation first. The glossary records the result of traceable reasoning; it does not replace the research itself.
Give the meaning a concrete object
A useful entry explains what the term concerns. “Visibility of bookings for the selected week” is clearer than “visibility”. “Flexible booking lengths” differs from “flexible contract terms”. Giving the word an object makes it easier to identify which product evidence needs checking.
For each term, record four fields: the customer expression, interpreted meaning, permitted use in the current brief and a meaning that must not be implied. The last field is especially useful for broad positive language.
| Expression in the fictional material | Bounded meaning | Unsupported expansion |
|---|---|---|
| Visibility | See bookings for a chosen period | Complete control of the business |
| Easy to change | Change a specific booking action | All administration requires no work |
| Everything in one place | Specified booking details in one view | Every system and information source is included |
This table does not approve any product claim. It identifies the meaning that must be checked against the actual offer. If the feature cannot support even the bounded interpretation, the term should not be used merely because it appeared in research.
Complete an entry another writer can use
Separate interpreting the word from deciding to use it. A meaning can be understood while its product support remains unverified. Add a status and an owner rather than just a column labelled “approved”. The table is a fictional completed entry for the booking tool. Its invented reference illustrates where a real source would be recorded.
| Field | Working note |
|---|---|
| Entry ID | G-07 |
| Customer wording and source | Visibility; paraphrase from fictional interview I-04 about next week’s bookings |
| Shared meaning | See bookings for a selected period in the current workspace |
| Swedish candidate | Se veckans bokningar i en samlad vy |
| English candidate | See the week’s bookings in one view |
| Meaning boundary | Excludes all-workspace visibility, financial reports and external calendar data |
| Status and owner | Interpretation complete; product owner to verify the view and period selection |
This entry is not yet a substantiated ad claim. Once the product owner has checked the feature’s scope, the editor can mark which phrases are usable for the specified offer. If the check establishes that the view covers only one workspace, that restriction must remain in the definition even when a headline is shortened.
Use simple statuses such as “meaning needs clarification”, “conditions of use pending”, “recommended for specified offer” and “superseded wording”. They describe your internal work and say nothing about platform ad approval. An unusual but precise term may be useful; a frequently repeated but unclear one still needs investigation. Frequency in the research material cannot decide the recommended wording by itself.
From customer wording to a usable glossary entry
- Keep the situation
“Visibility” concerns next week’s bookings. Record the source and whether wording is quoted or paraphrased.
- Bound the meaning
This week’s bookings in the current workspace. It says nothing about finances or other workspaces.
- Set conditions of use
The product owner checks the view and period selection. A clear meaning is not product evidence.
Checkpoint - Keep versions linked
Connect Swedish, English and affected drafts to one entry. Revisit it when the offer changes.
Distinguish recommended wording from required wording
Some terms need consistency because they name a specific service or capability. Others can vary while retaining their meaning. Mark the distinction so the glossary does not make every ad sound identical.
For example, “booking request” and “booking confirmation” may require strict separation because they describe different states. An explanation of how someone sees the schedule can have several natural versions. The objective is consistent meaning, not identical sentences.
Record who can resolve an uncertain meaning. A product owner may need to confirm the scope of a feature label, while an editor decides how to express it clearly. A tone preference cannot replace a check of the underlying content.
Build language pairs around shared meaning
Swedish and English terms do not need to be literal equivalents to describe the same thing. A short translation can nevertheless broaden the meaning. Establish the common definition before selecting wording in either language.
In the fictional booking example, a Swedish phrase describing a combined view may need an English phrase specifying which bookings are visible. A general term such as “control” can expand the promise. The guide to localising hints helps when the same offer must be described in both languages.
Keep examples showing where a translation fails. A warning tied to an actual shift of meaning is more useful than a long list of banned English words. The glossary should support natural writing, not make it mechanical.
Test the glossary against an actual draft
Choose a current ChatGPT ad brief and mark its glossary terms. Ask whether a reader could interpret them more broadly than the recorded definitions. Inspect the headline especially closely, because short positive words can be asked to carry too much.
If terms appear in context hints, preserve their meaning there too. OpenAI describes hints as additional context, not exact-match terms or guaranteed triggers. Its targeting documentation supports that platform description. Keep glossary warnings within the editing process; do not treat them as negative keywords.
Follow the meaning when a term changes
Suppose the fictional product adds a separate feature showing several workspaces. Do not automatically broaden G-07. First check which packages include the feature. Keep the earlier meaning for offers where it still applies and create a clearly identified variant for the expanded scope.
Then locate affected drafts through the entry ID and common phrases. Read the surrounding sentences too: changing a term can change what “all” or “combined” refers to. Review Swedish and English together. Record the reason, owner and date so the next writer understands why similar phrases may have different conditions of use.
Remove terms that no longer help anyone make a decision. A short glossary with clear boundaries is more useful than an extensive synonym collection whose purpose nobody understands.
Sources and scope
Create a small editorial glossary that preserves customer vocabulary meanings and prevents a term from carrying different promises across ads.
Working methods and examples are editorial suggestions. Check current platform requirements and available features before implementation.