I’ve been testing AI-powered creator discovery tools lately, and I’m honestly not sure if they’re saving me time or just creating more work in a different way.
On the surface, they’re impressive. You input your target audience, campaign goals, maybe some keyword filters, and the AI spits out a list of creators ranked by relevance. Instead of manually scrolling through thousands of profiles, you get a curated list of 50-100 people who theoretically match your needs.
But here’s where it gets messy: the results are only as good as the data the AI is working with, and the algorithms still seem to optimize for the wrong things. They’ll rank creators by follower count or engagement rate, but not by audience quality or authenticity. They’ll find creators whose content tangentially matches your category without understanding whether they’d actually be a good fit for a partnership.
What I’ve noticed is that AI discovery works great for narrowing down a massive pool to something manageable. Going from 10,000 potential creators to 100 is genuinely useful. But then you still need to hand-vet those 100, check their actual content, understand their audience, see if they’ve done similar partnerships. And that part still takes forever.
The other thing: AI discovery seems to only work well if you’re searching within a bilingual or platform-specific hub that has rich data on creators. If you’re trying to discover creators across multiple platforms or regions without that structured data, the results get pretty scattered.
For cross-border campaigns (LATAM + US), I found that AI did help me identify creators I wouldn’t have found otherwise, which was valuable. But it required a lot of manual refinement afterward.
Have you used AI for creator discovery? Did it actually save you time compared to manual discovery, or did it just change where you spend your time? And are there specific criteria you’ve found that AI actually gets right versus criteria that still require human judgment?
Интересный ты вопрос затронул! Я работаю с очень разными инструментами, и я замечаю, что AI помогает мне находить людей, но не помогает понять, подходят ли они мне.
NET, что важно: личные отношения. Когда я знакомлю людей, я использую AI для поиска, но потом я просто разговариваю с ними. Энергия, видение, готовность сотрудничать—это не AI может определить.
Мне кажется, AI—это отличный инструмент для фильтрации, но первый фильтр. Потом идёт человеческое прикосновение. И это, кстати, то место, где я добавляю максимум ценности в свою работу.
Знаешь, я думаю, что AI—это просто ускоритель. Раньше поиск инфлюенсера занимал недели. Теперь, с AI, я могу получить shortlist за несколько часов. Это больше, чем удобство—это позволяет мне сосредотачиваться на том, что я делаю лучше всего: строить отношения и находить идеальные пары.
По-моему, инструменты должны работать для нас, а не мы для них. Если AI экономит тебе время на рутину, отлично. Если нет—может, попробовать другой инструмент?
Интересный вопрос про AI. Я провела анализ нескольких инструментов для открытия creator.
Вот что я нашла:
Где AI действительно хорош:
- Быстрая фильтрация по базовым критериям (follower count, engagement rate, category)
- Поиск нишевых инфлюенсеров, которых сложно найти руками
- Анализ аудитории (раннее понимание демографии)
Где AI слабый:
- Оценка authenticity контента
- Понимание brand fit
- Выявление bot-followers (тут нужны специальные инструменты)
- Анализ quality audience engagement (часто считает только количество, а не качество)
По моему тестированию: если я использую AI для первого скрина (отсеять явно не подходящих), я экономлю примерно 30-40% времени на исследование. Но оставшиеся 60-70% все ещё требует ручной работы.
Для cross-border кампаний AI может быть полезным, если платформа имеет хорошие данные о both markets. Но если данные неполные, результаты получаются заказными.
Какой уровень вовлечённости требует твоя кампания? Это влияет на то, насколько можно полагаться на AI.
AI is useful, but it’s not a silver bullet. Here’s how I think about it: AI democratizes access to creator databases, but it doesn’t understand strategy.
What AI does well:
- Quickly surface creators who match basic criteria (category, follower range, engagement rate)
- Identify creators across multiple regions without manual research
- Flag creators with audience composition that matches your target demo
What AI does badly:
- Evaluate cultural fit and authenticity
- Understand which creators drive actual ROI (it doesn’t have historical campaign data)
- Catch fake followers or inauthentic engagement
- Understand the nuance of cross-border appeal
My workflow: AI gives me a list of 50-100. I hand-screen those down to 15-20. Then I reach out to 5-10 for actual conversations. That conversation is where real discovery happens.
For LATAM-US campaigns specifically, AI is helpful because it can surface creators in both markets, but you absolutely still need human judgment for final selection.
The speed benefit is real, but don’t mistake “faster” for “better.” Sometimes slower, more thoughtful discovery produces better partnerships.
What’s your process after AI generates a list? That’s where the real work happens.
AI-powered discovery is in an interesting place right now. It’s useful but not transformative.
Here’s what the data shows:
- Using AI-first discovery reduces time-to-shortlist by ~40-50%
- BUT it doesn’t improve final campaign quality if you don’t have clear selection criteria
- Channels that use AI for discovery still spend 60-70% of their time on manual vetting
Where I see the real value: AI discovery helps you build better filter criteria. By seeing who AI recommends versus who actually works, you learn what your ideal creator profile actually looks like.
For cross-border specifically, AI can be really helpful because it can search across regions simultaneously. But you MUST validate its regional selections. What ranks high in LATAM might not rank high high in US for the same creator.
My recommendation:
- Use AI for broad filtering (category, region, follower range)
- Use rule-based filters for specifics (no certain brand conflicts, audience quality scores above X)
- Do manual screening of top 20-30
- Have actual conversations with final 5-10
The magic is in the combination, not in relying on any one method.
What specific criteria would you say matter most for your campaigns that you’ve found AI struggles with? That tells you where to focus your manual effort.