Which tool to choose
The tool is the conversational assistant, used for the framework: it helps you set up what questions to ask yourself, how to structure the analysis, what to look at. For the real data you need something else: online research (if your assistant does it), official industry sources, data you gather yourself. If the assistant searches the web, it can bring you more up-to-date information, but it still has to be verified by opening the sources. The clear rule: AI for the structure and the reasoning, verified sources for every number and fact on which you'll base a decision.
How to do it
- Ask the AI to set up the analysis: which areas to look at (competitors, customers, trends, risks) and which questions to ask.
- For each area, gather the real data from reliable sources, not from the AI's memory.
- If your assistant searches online, use it for the recent data, but open and verify the sources.
- Have it help you synthesize and draw conclusions, checking that every cited figure is real and current.
A concrete example
Davide wanted to assess whether to open a service in a certain industry and asked the AI for an analysis. The assistant gave him an excellent structure — who the competitors are, who the typical customer is, which trends to watch — and some market figures. Davide was about to trust them, then he checked: some numbers were years old, one was simply wrong. He kept the structure, which was valuable, and looked up the real data from up-to-date industry sources. The final analysis was solid because the framework was the AI's but he had verified the numbers: without that check, he would have decided on data that didn't exist.
When it does NOT work (and how to fix it)
If AI provides precise market data without looking it up
It's the warning sign: specific numbers about a market, data with no source, "reconstructed" from its frozen knowledge. Don't trust it. Ask where it comes from, turn on online research if there is any, and verify with real sources. A market figure with no source is a figure not to use.
If the data looks old
The AI's base knowledge stops at a certain point, so on an industry that changes fast it can give you an outdated snapshot. For anything tied to the present — market shares, prices, recent trends — demand online research and up-to-date sources.
If the analysis stays generic
An analysis that could apply to any industry is useless. Give the AI the specific details of your market and your case, and ask it to reason about those. The more concrete you are, the more the analysis becomes useful instead of staying a list of good principles.
A tip from someone who really uses it
Clearly separate two things: how you analyze and the data you analyze with. On the first, AI is an excellent ally: it gives you a professional framework, reminds you of the areas not to neglect, helps you ask the right questions, structure and synthesize. It's method knowledge that doesn't age. On the data, instead, the opposite rule applies: never trust the numbers the assistant produces from memory, because its knowledge is frozen in time and it tends to fill the gaps with plausible but invented figures. Take the structure from AI and the data from real, up-to-date sources. A market analysis built on a good method and on real data is solid; the same structure filled with imagined numbers is dangerous precisely because it looks rigorous.
Frequently asked questions
Does AI know the up-to-date data for my industry?
Not necessarily: its base knowledge stops at a certain point, and of what changed afterward it may know nothing or give old information. For current data you need online research and verified sources, not its memory.
So what is AI good for in the analysis?
For the method: structuring the analysis, reminding you of the areas to look at, asking the right questions, reasoning about the data you gather and synthesizing. It's valuable help on the how, while you bring the data from reliable sources.
Can I trust the numbers it gives me?
No, not without verification: it can provide wrong or outdated figures with great confidence. Every number on which you'll base a decision must be checked against a real, up-to-date source.
If AI does the market analysis for me, can I use it to decide?
Not as it is. The structure will be excellent, but if it contains data taken from its frozen knowledge — old or invented — basing a decision on it is risky precisely because the analysis has the air of being authoritative. A good market analysis combines a solid method, which AI gives you, with real and up-to-date data, which you have to verify. Taking the assistant's numbers at face value without checking them is the most common way to base an important choice on a market that no longer exists, or never did. Use the framework; demand the real data.