Use AI to Research a Company Before You Apply or Interview

Here is a hard truth we have watched play out since 2002: the person who gets the job is rarely the most talented one in the pile. It is the one who walked in already understanding the brand. According to StandOut CV's job interview research, only about 54 percent of candidates actually research the company before they show up, which means nearly half do not. That gap is your opening. And with AI in your corner, closing it takes about twenty minutes instead of a lost afternoon.

Research is the step that feeds everything else. A cover letter is only as sharp as what you know. Interview answers only land when they are aimed at the right target. So before you write a word or rehearse a single answer, you do the homework. Here is the exact workflow we recommend, built around Malakye's company pages, recent news, and a little help from AI.

Start Where the Signal Is Strongest: The Malakye Company Page

Do not open a blank search and hope. Start on the brand's Malakye page, because it is built for exactly this. Every profile in our companies directory gives you the overview, the location, the size, the social links, and often the people who actually work there. That last part is gold. You are not just researching a logo, you are researching a team.

Say you are chasing a job at Nixon. Pull up their page and read the overview in their own words, not a Wikipedia summary. Do the same for a Patagonia, a Burton Snowboards, or a Vans. Copy the overview text and the list of people into a scratch doc. This is your raw material. Note the company size too, because a 40-person brand and a global VF-owned label want very different things from the same job title.

Pull the Recent News: What Has Changed Lately

A company page tells you who they are. Recent news tells you where they are headed, and that is what makes you sound current instead of canned. Spend five minutes gathering the freshest signals:

• New product launches, collabs, or category expansions.
• Leadership changes, funding, acquisitions, or a parent-company shift.
• Sustainability moves, athlete signings, or event sponsorships.
• Any open positions the brand is filling right now, which hint at where they are investing.

Check the brand's own Malakye page for active postings, scan the wider Malakye jobs board to see how many positions they have open and in what departments, and grab a couple of headlines from their newsroom or press coverage. Paste it all into the same scratch doc under a "Recent News" heading.

Feed It All to AI and Ask for a Summary

Now hand your raw material to an AI tool such as Claude, ChatGPT, or Gemini. You are not asking it to invent facts, you are asking it to organize the facts you already gathered. Paste in the overview, the people list, and the news snippets, then prompt it plainly:

• "Summarize what this company does, who it is for, and what it seems to value, based only on the text I pasted."
• "List three things this brand appears to care about most, with the line from the text that supports each one."
• "Based on this, what does a strong candidate for this position need to understand walking in?"

In under a minute you get a clean brief: the products, the audience, the culture cues, and the recent momentum, all in one place. That brief is the backbone of every application document you write next. If you want to turn it straight into an application, our guide on how to write a cover letter with AI that sounds like you shows you how to feed this exact brief into your opening paragraph.

Turn Research Into Smart Questions

Here is where most candidates stop, and where you keep going. The end of an interview almost always includes "So, do you have any questions for us?" A weak answer there can undo a strong hour. A sharp, specific question does the opposite, because it proves you did the work.

Ask your AI tool to help: "Based on this company brief and the fact that I am interviewing for a merchandising position, write five thoughtful questions that show I understand their business and are not answerable by a quick glance at their homepage." You will get prompts you can shape into your own voice, like asking how a recent collab performed, how the team measures success in the first ninety days, or how a parent-company relationship affects day-to-day decisions. Pick the two or three that feel most like you and commit them to memory.

Those same questions become the spine of your practice run. When you are ready to rehearse out loud, walk through our method to run your own mock interview using the brief you just built.

Match Your Story to Theirs: Knowing What to Say

Research is wasted if you cannot connect it back to you. Take your company brief and put it side by side with your own experience, then ask AI to find the overlap: "Here is what this brand values and here is my background. Where do my experiences directly support what they care about? Give me three specific talking points."

This is the difference between saying "I love outdoor brands" and saying "I noticed you are leaning harder into recycled materials this season, and I ran a supplier sourcing project that cut waste on a similar line." One is a fan. The other is a hire. Build three of those bridges and you will never freeze when they ask why you want to work there.

Verify Before You Cite: Trust, but Check

One firm rule, because it matters: AI can be confidently wrong. It will occasionally invent a product, a date, or an executive that does not exist. So never repeat an AI-generated "fact" in an interview or a cover letter unless you have seen it with your own eyes on a real source.

• Anchor the AI on text you pasted, not on its general memory.
• Cross-check any specific claim against the brand's own site, the Malakye company page, or a real news article.
• If you cannot verify it, cut it. A vague-but-true statement beats a specific-but-false one every time.

Do that, and AI becomes what it should be: a research assistant that organizes and summarizes, while your judgment stays in charge. That is how you walk into the room as the candidate who clearly did the homework, standing in the half that showed up prepared.