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More creators isn't the problem. Picking the right one is.

Influencer marketing platforms like to compete on database size and search features.

But the real challenge is judgment at scale. Which creator truly fits the brief, which audience is real, which campaign moved revenue? And then doing it all again across markets, business units, and client accounts.

That's exactly where Kolsquare puts AI to work. It makes teams faster, more precise and able to scale their judgment without scaling their headcount.

Here is what that looks like on the platform.
BETA

Ask your campaigns anything.

Reporting shouldn’t slow down decision-making.

Kolsquare MCP connects your campaign and creator intelligence with AI assistants, so teams can ask questions in plain language and get answers instantly.

And the best part? Your assistant turns the answers into whatever your stakeholders expect: a summary, a deck draft, a report in your brand's colors.

PROMPT EXAMPLES (CHAT-STYLE PANEL)

  • "Give me a recap of our summer launch campaign: reach, engagement, and top three creators."
  • "Compare our France and Germany campaigns by engagement rate."
  • "Summarize this month's brand Listening mentions."

Every answer is pulled straight from your verified campaign data, so the numbers hold up when a client,  your CMO or your CFO starts asking tough questions.

Ask AI for you campaigns

The creators you can't put in keywords.

The brief says "authentic fit". The database says millions of profiles. Hashtags and keywords won't close that gap; Kolsquare's AI will. It understands what creators actually create, not just how they tag it.

AI Prompt Search
AI prompt search
Semantic search in plain language: describe the creator you need the way you'd brief a colleague, in any language. The AI understands meaning, not just matching words.
Visual search
Upload a reference image and find creators whose Instagram content matches the look, when words fall short.
Visual Search
Speech to text Search
Speech-to-text search
Find creators who say your brand out loud in YouTube and TikTok videos, timestamped to the exact moment. Captions and hashtags only tell half the story.
Lookalikes
Found the perfect creator but need five more? Surface profiles with similar content and audiences in one click, and build the whole cast from one good fit.
Lookalikes

Reach tells you who saw it. Sentiment tells you if it landed.

Ten thousand comments from a campaign, but only 1 question from the CEO. Did people actually care?

Likes, views, and engagement rates only tell part of the story. Kolsquare’s AI analyzes audience sentiment across campaign content and brand conversations to reveal the feeling behind the numbers.

Understand how your creator collaborations are being received, optimize while campaigns are live, and prove impact beyond reach and impressions.

AI is only as good as the data it runs on.

Data is the reason our AI works. Smart features need something worth learning from, and ours run on one of the most complete datasets in influencer marketing:

5,000
+

Minimum followers

6

Platfoms covered

180
+

Countries covered

Exhaustive coverage.
Every creator with 5,000+ followers on Instagram, TikTok, YouTube, Facebook, Snapchat and Twitch, across 180 countries: millions of profiles, billions of content pieces.
Compliance built in.
Content is checked against market-specific disclosure and advertising rules, with flags raised before publication, not after.
Official APIs.
Sourced through the platforms' official interfaces: GDPR-compliant by design, reliable, refreshed continuously.
First-party collection.
Content is collected automatically and in real time by our own in-house infrastructure, and quality-checked end to end.
Completed by AI.
Speech-to-text and visual analysis capture what creators say and show in their content, beyond captions and hashtags.
Une supervision humaine sur chaque modèle
l'IA accélère les décisions, votre équipe les prend. Et en tant que B Corp, nous appliquons à notre IA la même exigence qu'à l'influence elle-même : efficace, authentique, responsable.

Where our AI ships from

Behind Kolsquare's AI is a talent tech team running all product engineering, data collection, and ideation fully independent, in house. Our goal is to explore new ways of solving our client’s hardest problems. Combining extensive international expertise, particularly those who joined us through three European merger projects, makes us faster and more performant. We operate with agility in small teams, deploying short cycles, which makes ideas that reach the product while they're still new.

At the center sits the Kolsquare Innovation Lab, a dedicated team with one job: turn emerging AI technology into a working product before the market makes it obvious. 

The whole stack, in-house.

From data collection to the AI on top: no third-party dependencies, no black boxes we didn't build.

Talent from across the world.

Including the engineers and data minds behind the platforms that joined Kolsquare. Every merger made us faster: small teams, short cycles.

We collaborate with real clients.

New capabilities go through beta testing on real use cases and campaigns. If it doesn't hit the spot in real workflows, it doesn't ship.

Ready to make smarter creator decisions with AI?

Already have a creator list? Bring it to the demo. We'll show you what the AI would have found.

FAQ

What AI features does Kolsquare offer for influencer marketing?

AI prompt search and image search (both in beta), speech-to-text search across YouTube and TikTok, sentiment analysis on campaigns and brand Listening, and the Kolsquare MCP, which connects your campaign data to AI assistants like Claude, ChatGPT, and Gemini.

How does AI help with influencer discovery and creator matching?

AI-based search understands meaning rather than keywords. You describe the creator you need in plain language, search by a reference image, or find spoken brand mentions in video, and get a ranked shortlist back.

Can AI detect fake followers or bot-driven engagement?

Kolsquare catches inflated audiences with credibility scoring: a precision algorithm over verified audience data. We deliberately don't badge it as AI, because it doesn't need to be. It flags risk before the budget is committed.

What does responsible AI mean in influencer marketing?

At Kolsquare: AI runs on verified, GDPR-compliant data, client data is never used to train models, every model has human oversight, and AI-assisted access to your data is read-only. We're a B Corp, and we apply that standard to AI too.

Is Kolsquare an AI company, or a platform that uses AI?

A platform that uses AI where it makes a real difference, and says clearly where it doesn't. Search, sentiment, and the MCP are AI. Scoring, compliance, and EMV are precision algorithms, and we name them as such.

Is Kolsquare's AI trained on my data?

No. Your data is never used to train models.

Can I see the AI matching logic, or is it a black box?

Search results come back ranked so your team can see why a creator surfaced and defend the shortlist. Your team always makes the final call.

Who in my company can see our data through the MCP?

Access works through a company-level key today: anyone in your company who holds it can query your company's data. Per-user access is on the roadmap. Share the key with care.

How is Kolsquare's AI different from a basic keyword search tool?

Keyword tools match tags and captions. Kolsquare's AI understands content: what creators talk about, what their content looks like, and what they say out loud in videos.

What happens if I disagree with the AI's creator ranking?

You override it. Rankings are a starting point, not a verdict: refine the prompt, adjust the criteria, or ask for more options. AI accelerates the shortlist; your team owns it.