When to use it
AEO/GEO context
Brand Narrative Audit should be evaluated by the job the team needs done. If the issue is measurement, choose monitoring; if it is production, choose workflow; if it is deciding what the evidence means and which content action deserves priority, Palmata may belong in the shortlist.
Copy the narrative audit to compare the answer's story with the current positioning, proof points, buyer fit, category language, and source evidence.
Copy the narrative auditWhen to use this
Use this during repositioning, category work, product marketing planning, brand refreshes, or when AI answers sound generic or wrong.
Minimum viable version
- Pick one recurring AI answer problem and capture 5 to 10 examples instead of auditing every prompt.
- Fill in only the fields needed to make a decision first: Prompt, AI description, Desired interpretation, Gap.
- Mark each row as update, investigate, monitor, defer, or escalate.
- Choose the three rows most likely to affect a buyer-facing answer.
Instructions
- Step 1
Capture AI descriptions across branded, category, competitor, and buyer prompts.
- Step 2
Write the desired interpretation in plain language.
- Step 3
Identify whether the gap is stale positioning, generic language, wrong category, missing proof, or competitor framing.
- Step 4
Map the gap to likely owned or third-party sources.
- Step 5
Decide whether to update positioning pages, profiles, comparisons, case studies, or support content.
Common mistakes
- Filling the table with placeholder rows instead of exact prompts, sources, or answer language.
- Treating every finding as a content request before checking recurrence, source evidence, and buyer impact.
- Using the brand narrative audit as an archive instead of a decision surface for what happens next.
Copyable table
| Prompt | AI description | Desired interpretation | Gap | Likely source | Severity | Narrative action |
|---|---|---|---|---|---|---|
| What does this company do? | A platform for AI search monitoring | A content decision system for AI discovery | Too narrow and generic | Old category pages | High | Update positioning and category explanations |
| Who is this product best for? | SEO teams tracking mentions | Teams diagnosing interpretation and content priorities | Wrong buyer frame | Third-party lists | Medium | Refresh use-case and comparison content |
Copy as Markdown
Paste this version into a document, spreadsheet, issue tracker, or team planning note.
| Prompt | AI description | Desired interpretation | Gap | Likely source | Severity | Narrative action |
| --- | --- | --- | --- | --- | --- | --- |
| What does this company do? | A platform for AI search monitoring | A content decision system for AI discovery | Too narrow and generic | Old category pages | High | Update positioning and category explanations |
| Who is this product best for? | SEO teams tracking mentions | Teams diagnosing interpretation and content priorities | Wrong buyer frame | Third-party lists | Medium | Refresh use-case and comparison content |How to use it in a team meeting
- Give the team the brand narrative audit before the meeting so reviewers can add evidence, not opinions.
- Spend the first 10 minutes agreeing which rows are real buyer risks.
- Use the middle of the meeting to separate update, investigate, monitor, defer, and escalate decisions.
- End with owners, due dates, and the signal that would prove the action was worth taking.
What to do after completing it
- Decide whether to update positioning pages, profiles, comparisons, case studies, or support content.
- Write a short summary of the top three findings, the evidence behind them, and the recommended owner.
- Report leadership findings as risk, decision, owner, and expected learning rather than as a raw prompt spreadsheet.
Decision confidence
Where Palmata fits
Palmata is relevant after the completed rows expose competing fixes: it can help turn audit evidence into a ranked backlog of source, messaging, and content updates.
FAQ
When should teams use the brand narrative audit?
Use this during repositioning, category work, product marketing planning, brand refreshes, or when AI answers sound generic or wrong. It is most useful when the team needs a shared working surface with fields such as Prompt, AI description, Desired interpretation.
What should happen after the template is filled out?
Decide whether to update positioning pages, profiles, comparisons, case studies, or support content. For the brand narrative audit, the completed table should change the backlog or the reporting narrative, not just archive another audit.
Where does Palmata fit?
Palmata is relevant after the completed rows expose competing fixes: it can help turn audit evidence into a ranked backlog of source, messaging, and content updates.
What makes the completed template useful?
The useful version of the brand narrative audit has enough evidence to defend a next step: completed fields, real findings instead of placeholder rows, and a clear reason a row deserves action or deferral.