How to Create Marketing Images With AI: Prompts and Edits
A repeatable three-step routine for turning a plain idea into a usable marketing image, then keeping every image after it consistent with the first.
AI Deep Research: What It Is and Where It Actually Helps
A chat answer comes from memory. A research answer goes and looks. That distinction matters most in exactly the situations where people forget it.
ChatUp GuidesWork
Ask a normal chat for a market overview and you get a fluent, structured, plausible answer assembled from training data with a cutoff date. Ask a research tool and it goes and retrieves current sources, then tells you where each claim came from.
Those two outputs look almost identical on the page. The difference matters enormously, and it matters most in the situations where people are least likely to check — a report for leadership, a vendor decision, a competitive analysis.
What deep research actually does
Rather than answering in one pass, it decomposes the question into sub-questions, searches for each, reads what it finds, follows up on gaps, and assembles a structured answer with citations. It takes minutes rather than seconds, and that time is the point: the work is retrieval and synthesis, not recall.
The three things you get that a chat answer does not: currency, sources you can check, and coverage that is broader than any single search you would have run.
Six uses where it earns its time
1. Talent market analysis
Prompt to try
Research the current market for senior data engineers in Berlin, Amsterdam, and Warsaw. I need: realistic salary bands with sources, how compensation is typically structured, what candidates are asking for beyond salary right now, how long roles are taking to fill, and which of these markets is tightest. Give me the sources and flag where data is thin or where you're extrapolating.
2. Vendor and tooling decisions
Prompt to try
Compare the main options for [category] for a 40-person company. I need current pricing including what's hidden behind "contact sales", what the actual limits are on each tier, what people complain about in reviews from the last year, and migration cost away from each. Sources for everything. Tell me which comparison points you couldn't verify.
3. Competitive positioning
Prompt to try
Research how the four main players in [market] currently position themselves — their actual claims, in their own words, from their own sites. Where do they overlap, what do they all avoid saying, and what has changed in the last year? Quote the specific language.
4. Regulatory and compliance orientation
Prompt to try
What are the current requirements for [activity] in [jurisdiction]? Give me the primary sources — the actual regulation or official guidance, not summaries of it — what changed most recently, and the specific questions I should put to a lawyer. I'm orienting myself before a professional conversation, not looking for advice.
That framing — orienting before a professional conversation — is the correct use for anything regulated, and it saves real money in billed hours.
5. Design and product research
Prompt to try
Research how the leading products in [category] handle onboarding. Find specific documented patterns and where they're described — case studies, teardowns, published research. What's converged, what's still contested, and what does the evidence actually support versus what's just repeated?
6. Diligence on a company or claim
Prompt to try
Research [company]. What do they do, who funds them, how big are they really, what have they publicly claimed, and what's been reported that contradicts or complicates those claims? Distinguish clearly between what's confirmed by a primary source, what's reported, and what's speculation.
What to do with the output
Treat a research report as a well-organized starting point, not a finished document.
- Open the sources. Not all of them — the ones carrying the claims you will repeat.
- Check the dates. A cited source can be current and stale simultaneously.
- Watch for confident synthesis. The most dangerous sentence in any research output is the one that summarizes three sources into a conclusion none of them stated.
- Look for what is missing. Absence of a counter-argument usually means it was not searched for.
Prompt to try
Go back through what you just gave me and separate every claim into: directly supported by a source you cite, inferred by combining sources, and your own general knowledge. I want to know which is which before I use any of it.
The honest limitations
- It reads what is reachable. Anything behind a paywall, in a proprietary database, or in a PDF nobody indexed is invisible to it.
- Web consensus is not truth. A confidently repeated wrong fact appears in many places, and that makes it look well-sourced.
- It is slower and costs more than a normal answer, which is exactly why it should be reserved for questions where being wrong matters.
- It does not know your business. Internal context has to come from you.
Where this fits in ChatUp
AI Research is the tool. The rule of thumb for when to reach for it: if the answer would be wrong had something changed in the last year, use research; otherwise a normal chat is faster and sufficient. Pair it with File Assistant when you need to combine external research with your own internal documents.
Frequently asked questions
How is this different from just asking a chatbot?
A chat answers from training data with a cutoff. Research retrieves current sources and cites them. For anything time-sensitive, that is the whole difference.
Are the sources reliable?
It cites what it found. Source quality is your judgment call, which is why the citations exist — open them.
How long does it take?
Minutes rather than seconds. That is the cost of actually going and looking.
Can it replace a research analyst?
It replaces the first day of their work — gathering, reading, and organizing. The judgment about what matters and what to do about it is still the job.
Reserve it for questions that deserve it
Most questions do not need research; recall is fine and faster. The skill is recognizing the ones that do — anything with a price, a regulation, a competitor, or a date attached — and not letting a fluent answer from memory stand in for one.
Try it in ChatUp
Turn this guide into a workflow.
Run the prompts above against the model that suits the task, keep the useful context across chats, and pick it back up on any device.
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