I would not let an AI dashboard tell me what customers want without looking at raw search data. Summary charts are seductive. They are also easy to dress up with confident language.
CMOs do not need more polished slides. They need to know what people typed, clicked, asked support, and bounced from.
Quick Answer
Use AI to group and label search patterns from real sources: Search Console queries, paid search terms, onsite search, support tickets, and sales call notes. Do not treat generated “consumer insights” as fact unless you can trace them back.
The mistake is optimizing for a persona that AI invented
AI can create neat clusters.
“Budget-conscious millennials seeking premium experiences.” Great sentence. Maybe nonsense.
I would rather start with ugly real data:
- what queries grew this quarter
- which ad search terms convert
- what people type into your site search box
- what pre-sale questions repeat in email
Then use AI to sort the mess.
CMOs need fewer themes, not more dashboards
Most marketing teams do not fail from lack of tools.
They fail because everything is fragmented:
- brand team has one story
- paid team has another
- SEO team sees different intent
- product team hears different objections
AI can help map the overlap if you feed it real inputs. It cannot fix a team that never shares data.
I would turn insights into page and ad decisions
An insight only matters if it changes something:
- a landing page headline
- a product comparison section
- a negative keyword list
- a FAQ block
- a creative angle you will actually test
If it does not change execution, it is entertainment.
Trace it back or delete it
That is my rule.
If nobody can show the query, ticket, or call snippet behind the insight, I would not fund a campaign on it.
