Many companies mistakenly believe their brand story is about their founding or product features. The most compelling narrative, however, is about the audience you serve, the problems you solve for them, and how their life is improved as a result of your work.
To demonstrate expertise, freely explain the 'why' behind your work and the 'how' of your process. This builds trust with potential clients. The actual execution—the 'what'—is the service you sell. Those who take your 'how' to do it themselves were never going to be good customers anyway.
When you use AI to generate complex outputs like a website or video, you receive a static, single-layer product. If you don't understand the underlying components (e.g., code, video layers), you can't edit, debug, or evolve the asset, effectively trapping your organization with a 'snapshot in time.'
The novelty of AI-generated content wears off quickly. As audiences are exposed to more AI outputs (text, images, websites), they rapidly develop a sensitivity to its patterns and templates. What initially seems impressive and polished soon becomes recognizable as low-effort and cheap.
Don't assume AI can effectively perform a task that doesn't already have a well-defined standard operating procedure (SOP). The best use of AI is to infuse efficiency into individual steps of an existing, successful manual process, rather than expecting it to complete the entire process on its own.
The greatest danger of AI content isn't job loss or bad SEO, but a societal one. Since we consume more brand content than educational material, an internet flooded with AI's 'predictive text' based on what's common could relegate collective human knowledge and creativity to a permanent base level.