AI output is rising; brand distinctiveness is falling
A Great Lakes Institute of Management report finds 80% of marketing leaders expect AI-generated brand content to increase significantly. Yet the same report flags generic storytelling, consumer trust gaps, and measurement failures as the primary risks of this scale-up.
India's marketing ecosystem is scaling AI adoption faster than it is building brand voice frameworks to govern that output. The result is a market where more content is being produced but less of it is memorable or attributable to a specific brand.
Volume is not strategy. AI that writes without a defined brand voice produces output indistinguishable from every competitor using the same model.
This week, write a one-page brand voice brief—tone, taboo words, signature phrases—and run your last five AI-generated pieces against it. Kill anything that could have come from a rival.
- Document three phrases only your brand would use
- Flag any AI output that sounds like category generic
- Test brand recall: remove your logo—can a consumer identify the piece as yours?
- Assign a human editor to all AI drafts before publication