Research someone's LinkedIn profile and posts

Find out who someone is, what they post about, and how they write on LinkedIn before you pitch them, partner with them, or write for them, with every observation tied to the posts it came from.

Key Takeaways

  1. A LinkedIn profile tells you what someone has done. Their recent posts tell you what they care about right now and how they talk about it, and that second part is what makes a pitch, a partnership, or a ghostwritten post land.
  2. To research someone with AI, give it the person's LinkedIn URL or their name and company. Kite confirms it has the right person, then pulls their profile and most recent original posts from its built-in LinkedIn data.
  3. Kite reads the posts for the themes the person keeps returning to, which posts drew the most reactions and comments, and the habits that make up their writing voice, and it points to the specific posts behind each observation.
  4. The research comes back shaped by why you asked: talking points for outreach, a fit check for a partnership, or a voice guide Kite uses to write in that person's style.
  5. You don't need to connect a LinkedIn account for any of this. The lookup runs through Kite's data sources, not your own LinkedIn login.
On this page

Why research someone's LinkedIn before you get in touch

Most people you want to reach have told you a lot about themselves on LinkedIn already. A buyer posts about the problem their team is stuck on. A podcast host shares the guests they loved and the pitches they hated. A founder you're about to ghostwrite for has two years of posts that show exactly how they sound. Reading that before you reach out is the difference between a message that feels personal and one that feels like a template.

The work itself is simple to describe and slow to do. You find the right profile, read the headline, the about section, and the career history, then scroll back through months of posts. Then you have to make sense of it. What does this person keep talking about? Which posts got real conversation going? Do they write in short punchy lines or long stories? Are they formal, funny, blunt? For one person that takes most of an hour. For a list of twenty prospects or a shortlist of creators, it rarely gets done properly.

This is reading and pattern-finding, which is work an AI marketer does well, as long as it keeps track of where each conclusion came from. Kite is an AI marketer. It researches your business, builds a growth strategy, and ships the work that brings you new customers. Here's how it researches a person's LinkedIn profile and posts.

How Kite researches someone's LinkedIn profile and posts

Kite starts by finding the right person and confirming it. Then it pulls their public profile and their most recent original posts, reads the posts for themes, engagement, and voice, and turns what it found into something you can use for the reason you asked.

That reason matters, because the same profile answers different questions depending on what you're about to do. If you're pitching a prospect, Kite looks for the problems they've raised publicly and anything that connects to what you sell. If you're vetting a creator for a partnership, it looks at what they consistently post about and how their audience responds. If you're about to write for an executive, it studies their sentences closely enough to imitate them. Kite already knows your business from its research on your company, so it can say why a given post matters to you, not only what the post says.

Every theme, voice observation, and talking point in the result links back to the posts or profile fields it came from. Kite saves the research in your team's wiki, where later work, such as an outreach message or a ghostwritten post, can build on it.

  1. Make sure it's the right person
  2. What a LinkedIn profile tells you about someone
  3. How do I quickly understand what someone posts about on LinkedIn?
  4. How do I learn someone's writing voice from their LinkedIn posts?
  5. Turn the research into the work you came for

Make sure it's the right person

Kite researches one confirmed identity at a time, because mixing two people's profiles would make every conclusion afterward wrong. The surest way to start is to paste the person's LinkedIn profile URL. Kite cleans up links copied from the app or a search result so they point at the profile itself.

If you only have a name and a company, Kite searches professional profiles by name, employer, and title to find the match. When more than one person could fit, such as two people named Sam Chen at the same company, Kite asks you which one you mean, usually by checking their title or location with you, rather than guessing.

What a LinkedIn profile tells you about someone

The profile gives Kite the factual frame for everything else: who the person is, where they work, and how they got there. Kite pulls these profile fields:

  • The headline and the about section, in the person's own words.
  • Their current role and employer, plus their past roles and companies.
  • Their education, listed skills, and location.
  • Their connection count, which gives a rough sense of their reach.

When the purpose calls for it, Kite also looks up the person's work email, preferring an address at their current employer and recording whether it was confirmed as deliverable.

The profile is also where Kite checks for gaps between what someone says and what they've done. A headline that says "helping SaaS teams scale" means more once you see that the person spent six years running sales at two SaaS companies before going independent.

How do I quickly understand what someone posts about on LinkedIn?

The quickest way to understand what someone posts about is to group their recent posts by theme and see which themes they return to and which ones drew a response, and Kite does that grouping for you. It pulls the person's most recent original posts and skips reposts they shared without adding any comment of their own, since those say little about what the person thinks.

For each post, Kite has:

  • The full text, the date, and a link to the post.
  • The number of reactions, comments, and shares it received.
  • Any links the post included.
  • Whether it carried images or video.

From that, Kite tells you the three or four topics the person keeps coming back to, what they seem to believe about each one, and which posts started the most conversation.

Take a head of operations at a regional logistics company whom you're about to pitch. Kite might find that most of her posts over the last two months are about driver turnover, that she's skeptical of software that promises to fix it, and that her one post with five times her usual comments was a story about a dispatcher who quit over a scheduling mistake. That tells you what to lead with and what tone to avoid.

Kite tells you how many posts it read and whether more were available, so you know how much history sits behind each conclusion. You can ask it to go further back or to narrow the read to a specific period.

How do I learn someone's writing voice from their LinkedIn posts?

You learn someone's writing voice by looking at the habits that repeat across their posts, and Kite describes those habits with an example post behind each one. It looks at:

  • How the person opens a post.
  • How long their sentences and paragraphs run.
  • Whether they tell stories or make arguments.
  • How they use lists, line breaks, questions, and emoji.
  • The words and phrases they reuse.
  • How they end a post, whether with a question, a call to action, or nothing at all.

Kite keeps the person's actual post text as source material and keeps its own descriptions separate from it. A voice note might read, "Opens with a one-line claim, then backs it up with a short story from a customer call," followed by the posts where that pattern shows up. That separation lets you check each observation against the real writing, and it keeps the description honest when someone's style varies.

This is the part that matters most when you're writing for someone. If you're ghostwriting for your CEO, Kite can save their voice to your team's wiki so every later draft starts from how they actually write. If you're pitching a guest post to a newsletter writer, knowing their voice tells you what kind of piece they'd want to publish.

Turn the research into the work you came for

The research is only useful when it shapes what you do next, so Kite carries it straight into the next piece of work. Here's what that looks like for the most common reasons people research a profile:

  • Reaching out to a prospect. Kite drafts a short LinkedIn message or email that refers to something the person actually posted about and connects it to your company. For LinkedIn messages, Kite drafts the text for you to copy and send from your own account.
  • Partnering with a creator. Kite summarizes whether the person's themes and audience response fit your brand, and it can write the outreach and the brief once you decide to go ahead.
  • Writing for an executive. Kite writes posts in that person's voice on the topics you choose, using the voice notes and example posts as its guide.
  • Building a personal website. Kite can use a person's profile and posts as the starting material for a site about them, including their photo and the logos of the companies they've worked for.

Kite asks for your approval before it publishes anything or sends any email, and you can give it more autonomy once you trust how it writes.

What you get

A confirmed profile summary

The person's headline, about section, current and past roles, education, skills, and location, tied to their exact LinkedIn URL and the date Kite pulled it.

A read of their recent posts

The themes they return to, what they seem to believe about each one, and which posts drew the most reactions and comments, with a link to every post.

Voice notes

How the person writes, described as specific habits with example posts behind each one, ready to guide outreach or ghostwriting.

The next piece of work

A drafted message, a partnership recommendation, or a post in the person's voice, depending on why you asked.

A clear note on what's missing

If a profile has few posts or some details aren't available, Kite says so instead of filling the gap from memory.

How to get started

You can work with Kite in your browser or in Slack. Tell it who you want to research and why. You might say, "Here's the LinkedIn profile for the VP of marketing I'm emailing tomorrow. What should I know before I write to her?" or "Study our CEO's last few months of LinkedIn posts so you can write in his voice."

If you give Kite a name instead of a URL, it confirms the match with you before it starts. Then it comes back with the research shaped to your goal, plus a suggested next step, such as a draft message or a first post in the person's voice.

You don't need to connect anything. Kite's built-in LinkedIn data covers public profiles and posts, so the research runs without a LinkedIn account of your own. Connect your LinkedIn account later if you want Kite to publish posts it writes for you.

Integrations used to research LinkedIn profiles and posts

Kite's built-in data sources cover this whole job, from finding the right person to reading their posts. Neither of the integrations below needs a separate account.

Look up the profile and posts

Common questions

How do I give a LinkedIn profile to an AI?

Paste the profile URL into the conversation. A link copied from the LinkedIn app, a search result, or an email works, because Kite trims it down to the profile address before looking it up. If you don't have the link, give the person's full name and company, and Kite finds the profile and checks the match with you.

Does the person know I researched their LinkedIn profile?

Kite gets the profile and posts through its data sources rather than by visiting LinkedIn from your account. The lookup doesn't come from your LinkedIn login, so your name isn't attached to it. Kite only reads information the person has made public on their profile.

Can Kite look up someone's older LinkedIn posts?

Kite focuses on recent original posts, because they show what the person cares about now. It tells you how many posts it read and whether more were available, and you can ask it to pull more. For voice research, a few months of posts is usually enough to see the patterns clearly.

What if the person barely posts on LinkedIn?

Kite still returns the profile research and tells you plainly how few posts it found. With only a handful of posts, it treats any voice observations as tentative and says so. For outreach, the profile, the company, and recent company news can still give you plenty to work with. For ghostwriting, Kite works better with other writing samples, such as emails, talks, or blog posts, which you can share with it directly.

Can Kite research a company's LinkedIn page too?

Yes. Kite can read a company's LinkedIn page and its posts the same way. To see how your company's LinkedIn activity stacks up against your rivals' over the last 30 days, see Compare your LinkedIn activity with your competitors'.

Can Kite research a whole list of people at once?

Yes. Give Kite a list of LinkedIn URLs or a list of names and companies, and it researches each person and returns the results side by side. This works well before an outbound campaign or when you're choosing between several creators. When the goal is a personal message for each person, see Write LinkedIn messages and warm intro requests.

Questions this page answers

  • How do I research a person's LinkedIn profile and posts with AI?
  • Can an AI marketing agent research someone's LinkedIn posts and writing style?
  • How do I quickly understand what someone posts about on LinkedIn?
  • How do I research a prospect's LinkedIn activity before reaching out?
  • How do I analyze a LinkedIn creator's themes and voice?
  • How do I learn an executive's writing voice from their LinkedIn posts?

Related integrations

1 more coming soon
  • Linkedin data

About the author

Devon Wells leads product marketing at Kite, the AI marketer. He spent a decade marketing industrial AI, from self-driving trucks to computer vision, but now Kite handles most of the work itself.

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