Premium Positioning & AI-Hype Skepticism
Two things are true at once: Consumr.AI is built on AI, and AI is the most over-marketed term in the industry right now.
This is a premium, specialist tool
Section titled “This is a premium, specialist tool”Consumr.AI is described internally as a platform with real, measurable value. That value only materialises when the tool is used correctly: with a well-defined audience, a real business question, and some analytical rigour applied to the setup.
It is not for generic briefs. If a client’s audience definition is “18–55 males” with no further filtering, no psychographic dimension, no behavioural layer, nothing, the output will be broad, because the input was broad. > “It’s so generic, you might as well ask an LLM. It’ll give you better results. Don’t come to us if it’s going to be that generic. We have a $600,000 tool — trust me when we say we have something extra. But if you’re being so generic, I don’t think we can help you.”
That directness is not a flaw in the pitch. It is the pitch. The platform earns its price point when clients bring specificity. When they do not, the honest response is to push back on the brief before running any research, not to produce mediocre output and let them conclude the platform underperformed.
What “something extra” actually means
Section titled “What “something extra” actually means”The value is in the specificity of the signal. Millions of social media conversations from a defined cohort, synthesised into one AI twin who answers as that cohort, not as a generalised population model. That specificity requires:
- A well-built segment definition
- Correct audience sourcing (lookalike from first-party data, not just demographic brackets)
- Thoughtful questions that are genuinely research questions, not validation requests
When those conditions exist, the platform produces insight that is hard to get anywhere else. When they do not, the platform produces average output; and the correct diagnosis is almost always the brief, not the tool.
AI hype: be skeptical
Section titled “AI hype: be skeptical”The enthusiasm around AI in business follows a recognisable pattern. A few years ago, the keyword was blockchain. Every pitch deck had to mention blockchain. Every conference had blockchain panels. Then the hype faded; and now only a narrow group of fintech practitioners actually use blockchain meaningfully.
Before blockchain, it was ML. Then AIML. Now it is just “AI”, the acronym that absorbed everything. The progression is: introduce a technical term → people rush to include it in sentences without understanding it → the keyword loses meaning → only the practitioners who always knew what it did remain.
The practical question to ask of any AI feature or claim:
Is this a killer feature or marketing fluff?
A killer feature does something that was genuinely not possible before, or does something old dramatically better. Marketing fluff uses the word “AI” to dress up a process that could have been a lookup table or a simple filter.
On the question of AI replacing jobs: the concern is real but the timeline is consistently overstated. The gap between theoretical AI capability and actual observed workplace usage is large. The impediments are more political and organisational than they are technical; which is why “another 15 years and nothing meaningful will have changed” is a reasonable current-state read. Being nervous about AI’s trajectory is rational; panicking based on the current hype cycle is not.
Working in AI-adjacent products, as everyone at Consumr.AI does, means you will get this question constantly. Understand what the technology actually does, distinguish that from what the marketing says it does, and speak to the real capability.