03Brand Integrity
Audience Language
Audience Language evaluates the language layer: whether claims are clear and specific, whether the story connects problem to outcome, and whether the message adapts appropriately across audiences without fragmenting into contradiction.
Why it matters
- Language is the highest-leverage, lowest-cost variable on most sites, and the one most often left to accumulate rather than be designed.
- Retrieval systems and language models work on text. Vague copy produces vague machine understanding.
- Specific language is a proxy for real capability; buyers read imprecision as inexperience.
What strong looks like
- Claims are concrete, scoped and — where they are performance claims — sourced.
- The narrative moves from a problem the audience recognises to an outcome they can picture.
- Terminology is stable: one concept, one name, everywhere.
- Segment-specific messaging varies emphasis while preserving a single organizing argument.
Common failures
- Inward-facing copy describing internal structure instead of buyer-relevant outcomes.
- Jargon density that assumes context the reader does not have.
- The same idea named three different ways across three pages.
- Claims with no mechanism and no evidence behind them.
What we evaluate
- Clarity and reading level of primary page copy.
- Specificity and substantiation of claims.
- Terminological consistency across the property.
- Coherence of the narrative arc on key journeys.
- Appropriateness of message variation across named audiences.
How to improve
- Build a message architecture: one core argument, supporting proof points, and approved terminology.
- Rewrite the top twenty pages by traffic against that architecture before touching anything else.
- Attach a source to every quantitative claim or remove the number.
- Maintain a terminology list and enforce it in review.
Standards it inherits from
Owned by Copywriting and content strategy. This dimension is not invented here — it states an existing discipline standard as something observable and scorable.
- Jobs-to-be-Done
- Plain-language standards
- Search intent research
Who owns it
Scoring anchors
- 3
- Internal vocabulary throughout; the reader's own words for the problem never appear.
- 5
- Some audience language present, mostly on landing pages, inconsistently applied.
- 7
- Content is written in the terms buyers use, and matches how they search.
- 9
- Every primary page names the problem in the reader's language before naming the offer.
Illustrative median across published studies: 5.4
How to test it yourself
- Take your top ten search queries and check whether those words appear on the matching pages.
- Read your homepage aloud to someone outside the industry and ask what you sell.
- Count industry acronyms above the fold.
- Compare your wording to how your customers describe you in reviews.
Questions
- How is this different from Brand Voice?
- Brand Voice is how you sound. Audience Language is whether the words match the ones your buyer already uses to describe the problem.
Evidence
This dimension is scored from the following publicly observable sources. Where a source is unavailable for an organization, the limitation is recorded with the result rather than inferred around.
- Primary page copy and headline hierarchy
- Product and service descriptions
- Sales and support collateral where public
- Comparative reading of competitor language