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Everyone claims to be AI-powered. We prefer to prove it. Our AI exists to eliminate hours of manual work, surface better creators, and help you run higher-performing campaigns. Still your strategy, just faster.



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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.
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 colours.
PROMPT EXAMPLES (CHAT-STYLE PANEL)

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.




Likes, views, and engagement rates only tell part of the story. Kolsquare's AI analyses audience sentiment across campaign content and brand conversations to reveal the feeling behind the numbers.
Understand how your creator collaborations are being received, optimise while campaigns are live, and prove impact beyond reach and impressions.

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:
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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 in small teams with short cycles, so ideas reach the product while they're still new.
At the centre 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.
From data collection to the AI on top: no third-party dependencies, no black boxes we didn't build.
Including the engineers and data minds behind the platforms that joined Kolsquare. Every merger made us faster: small teams, short cycles.
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.
Already have a creator list? Bring it to the demo. We'll show you what the AI would have found.
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.
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.
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.
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.
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.
No. Your data is never used to train models.
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.
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.
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.
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.