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Research With AI: Perplexity, ChatGPT, Gemini and Claude for Business Decisions

Which AI tool to use when you need a sourced answer for a business decision, a worked example of how to check it, and the catch with each of the four.

Nathan Vegh8 min read

Research With AI: Perplexity, ChatGPT, Gemini and Claude for Business Decisions

You are about to sign a supplier, enter a new suburb or change how you price a service. You want to know what the market looks like before you commit. A year ago that meant an afternoon of searches and a messy document. Now it is a prompt.

The answer comes back in seconds, written in confident paragraphs. That is the risk. A research answer you cannot check is a guess with good grammar. The useful question is not which assistant sounds smartest. It is which one shows its working, and what you do with the working once you have it.

This guide covers four assistants we review on Find AI Now: Perplexity, ChatGPT, Gemini and Claude. It draws on our own reviews, the vendors' help pages and one independent study, with sources at the end.

Quick answer: if the job is "find me sources and summarise them", start with Perplexity, because every answer carries numbered citations. If you already live in Google apps, use Gemini for its research mode. If the material is long documents you already hold, Claude or Google's Gemini Notebook suits better. ChatGPT is the all-rounder. With any of them, open the sources behind the claims that matter before you act.

Two kinds of research job

Most business research falls into one of two jobs. They need different tools.

Looking outward. What do competitors charge for this? What are the rules for this kind of business? What do customers complain about? The material is on the public web, and the assistant has to find it. What matters here is whether it shows you where each claim came from.

Looking inward. Here is a contract, a stack of survey responses or last year's reports. What do they say? The material is yours. What matters is whether the answer stays tied to the documents you gave it, and what happens to those documents afterwards.

Mixing the two up is how people get into trouble. An assistant asked an outward question with no search turned on will answer from memory. An assistant asked an inward question may fill gaps with general knowledge that sounds like your documents.

The four, and the catch with each

Perplexity

Perplexity is built around the outward job. Its help page says it searches the web in real time and gives an answer with numbered citations linking to the original sources, so you can check the information or explore further. It also has a deeper research mode for longer questions.

Our review says it is good for research where you want answers with clickable sources you can check. The catch is that the deeper search mode is capped on the free plan, and when it runs out it falls back to a basic model instead of stopping. You may not notice the answer got shallower. Check which mode ran.

ChatGPT

ChatGPT covers writing, images, voice and research in one place, and it can search the web. Our review says it is good as one all-round assistant, and that the catch is the free plan limits access to the strongest models, with the best features on higher tiers. It is also the one to look at before putting business data in: our review says to skip it if you need business-grade data controls without paying for a team plan.

We could not open OpenAI's own help pages on search when we wrote this (they refused automated access), so we do not describe its search features beyond our review. Read them yourself before relying on a specific feature.

Gemini

Gemini suits people who already work in Google apps. Google's help page says its Deep Research mode researches a subject, builds a plan you can edit before it writes the report, and uses Google Search by default. You can add sources such as Gmail or Drive, upload files, or add notebooks. The report takes several minutes, which is the point: it is a briefing, not a chat.

The catch from our review is that limits depend on the plan and change often, and Google says data shared from a personal account into the Gemini app can be used to improve its models. If you are researching something confidential, use a work account and read the settings first. Google's help page says nothing about checking the output, so that job stays with you.

Claude

Claude is strongest on the inward job: writing, analysis and coding with long documents. Anthropic's help page describes a Research feature for questions that need many searches across the web and your connected tools, working for a few minutes and producing a report. It also says that for simple factual questions ordinary web search is the better fit.

The catch from our review is that paid plans cap usage in rolling windows, so heavy users can hit limits and need a higher tier. The help page we read does not say which plans include Research, so confirm that on the plan page before you count on it.

A fifth option for the inward job is Gemini Notebook, formerly NotebookLM. You add your own sources and ask questions about them. The catch from our review is that privacy rules differ between the notebook and chats about it in Gemini, and between personal and work accounts.

A worked example

Say you run a landscaping business and you want to know whether to offer a fortnightly maintenance subscription in your area.

  1. Ask an outward question with a specific shape. "What do landscaping companies in Brisbane offer as recurring maintenance plans? List each company, what the plan includes, and link the page where you found it." Asking for the page for each item is the instruction that matters.
  2. Open three of the links. Not all of them. Pick the claim that would change your decision most and check it on the source page. Does the page say what the answer says? Is it the company's own page or a copy on another site?
  3. Look for what is missing. Ask: "What would argue against offering this?" Then check that answer the same way.
  4. Move the keepers inward. Paste the pages you trust into a notebook or a Claude project and ask questions only of those. Now the answers are tied to material you have checked.
  5. Write down what you could not confirm. That list is your next phone call.

The whole thing is an hour, not an afternoon, and the decision rests on pages you have read.

Why you check

An independent study makes the point better than we can. In March 2025 the Tow Center for Digital Journalism at Columbia Journalism Review tested eight AI search tools, including ChatGPT, Perplexity and Gemini, by asking them to identify news articles from excerpts. Across the tools, more than 60 percent of answers were wrong. Most tools rarely admitted they could not find the article. The tools often credited the wrong publisher or linked to copies rather than originals, and some invented web addresses.

That was one test, on news citations, at one point in time, and the tools have changed since. It is not a ranking of these four for your question. It does show the failure that matters for you: a confident answer with a citation that does not support it. Perplexity showing sources makes checking quick. It does not make the answer correct.

What to check before you rely on one

  • Did it search at all? If there are no links, the answer came from the model's memory.
  • Does the page say it? Open the source for any claim a decision rests on.
  • Is the source current? Pricing and rules change. Look at the date.
  • Where did your data go? Check whether your plan and account type allow your inputs to be used for training, before you paste anything confidential.
  • Is a number in there? Find where the number came from, or leave it out.

Where to start

Sources

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