Galvor AI - Fully Agentic Influencer Marketing Platform

The Edge You Didn’t Know You Had

Turn creators into growth engines—without the usual chaos

Launch creator campaigns in days, not weeks

Upload your campaign brief and Galvor AI automates creator discovery, shortlisting, outreach, and onboarding end-to-end

Predict what will win before you publish

Simulate outcomes using past creator performance, category benchmarks, and real-time platform signals

Test more ideas in minutes

AI scores multiple creators, hooks, formats, and collaboration styles without running live campaigns

Scale globally without teams or agencies

AI maps creators, languages, and content formats across markets without the need of hiring dedicated team or agencies

Turn creator marketing into a repeatable growth system

Every campaign trains the AI to double down on what works and cut what doesn’t

The real problems with influencer marketing

Critical issues that slow down campaigns and limit results

Campaigns Move at a Painfully Slow Pace

Manual creator discovery, outreach, follow-ups, and coordination stretch campaigns from days into weeks.

Low Creator Response & High Drop-Off

Brands waste time reaching out to hundreds of creators, only to hear back from a small, unreliable fraction.

Wrong Creators, Right Numbers

Follower counts look good on paper, but poor audience fit and low relevance kill actual campaign impact.

No Predictability on What Content Will Work

Decisions are based on intuition, not data—leading to hit-or-miss content performance.

Endless Manual Coordination & Follow-Ups

Brief sharing, revisions, approvals, and posting reminders turn into operational chaos across WhatsApp, email, and DMs.

No Real-Time Visibility Into Campaign Health

By the time underperformance is noticed, the campaign is already live—or worse, already over.

Offerings

Influencer Marketing

End-to-end influencer marketing execution focused on strategic creator fit

Creator Discovery

Identify creators aligned to brand category, audience demographics, language, geography, and content style
Support for niche, regional and emerging creators

Creator Reachout

Structured, personalized outreach based on creator-brand relevance
Personalization based on content signals (recent content)
Pricing intelligence and response likelihood scoring
Achieve Higher Response & Acceptance Rates

Creator Onboarding

Campaign briefing, timelines, deliverables, and compliance setup
Smart contracts to ensure adherence to timelines & quality
Centralized tracking of creator status and readiness

How does it work?

AI analyzes: Historical creator performance across content themes, audience overlap, and brand compatibility

Machine learning models score creators on brand fit, authenticity, and expected campaign outcomes

Automated outreach personalization using creator behavior and past brand interactions as well as most recent content and brand affinity

Intelligent onboarding flows adapt based on creator experience level and campaign complexity

Creative Prediction

AI-powered creative intelligence that predicts content performance before publishing and recommends collaboration-led creative directions that deliver the best outcomes for both brands and creators, including branded and UGC-style content.

Prediction of Reach & Engagement

Forecast reach, impressions, engagement rate, watch time, saves, and comments
Compare performance across creator-led and brand-led and UGC-style content
Scenario modeling based on creator, format, platform, and posting window

Creative Suggestions

Recommend optimal creator–brand collaboration formats (testimonial, demo, POV, narrative, challenge, comparison, etc.)
Identify which content styles feel native to the creator while still meeting brand objectives
Suggest hooks, storytelling structures, content length, CTAs, and posting cadence
Guidance on when UGC-style content will outperform polished brand creatives

Trend & Benchmark Insights

Map proposed creatives against recent platform trends, audio usage, and emerging formats
Benchmark ideas against historical high-performing content in the same category and region

How does it work?

AI models trained on past creator content, historical brand campaigns, and high-performing UGC assets

Performance pattern analysis across content themes, collaboration formats, and creator-brand chemistry

Trend-detection models continuously scan recent platform signals to identify what is gaining momentum

Predictive engine simulates outcomes for different creative directions and collaboration styles

Learning loop improves recommendations as real campaign and UGC performance data is added