AI Search

AI Search: describe what you want, see matched creators

Two discovery modes in one: traditional 20+ filter search for power users, plus AI Search that converts a sentence or image into a structured query. Both run against the same 200M+ creator database.

AI Search

Describe what you want…

Beauty creators with a clean, editorial aesthetic, 25–40 year-old women audience, posting in Riyadh or Dubai.

Add reference image Filters Run

312 matches · ranked by aesthetic fit

What you get

Natural-language input

A 350-character description is converted into a structured query across 20+ filters in real time.

Image upload search

Drop a reference photo and find creators whose recent posts match the aesthetic, mood, or visual style.

20+ traditional filters

Followers, engagement, audience demographics, language, region, and account type, all available in parallel filter mode.

Recent post thumbnails

Every matched profile surfaces recent post thumbnails with engagement stats so you can vet visually before clicking through.

Search history

Saved queries reload instantly with no re-billing, so you can iterate on a brief without burning credits.

200M+ creator database

Direct connection to a 200M+ creator dataset plus AI inference layered on top for ranking and intent matching.

Two modes, one search

When to use AI versus filter search

Reach for AI Search when your brief is fuzzy, qualitative, or visual, when you want to describe a vibe and let the system pick the right filters. Reach for filter search when you know exactly which audience demographics, follower tiers, and engagement bands you need.

AI Search for fuzzy, qualitative briefs
Image upload for visual aesthetic matching
Filter search for precise demographic and engagement targeting
Both modes run against the same 200M+ creator database

beauty creators in Riyadh, ER > 4%, audience women 25-34

Beauty🇸🇦 RiyadhER > 4%F · 25–34+200K followers

Top matches

@layan.beauty

96% fit

@noor_glow

91% fit

@huda.style

88% fit

Scouting

I want to find fitness influencers with good engagement rate

Swavy

Sure, here are some creators:

@jamesvlog

🇪🇸 Spain · 780K followers

97% fit

@juliavlog

🇫🇷 France · 590K followers

93% fit

AI Search vs the agentic Discovery agent

Interactive search versus chat-driven discovery

AI Search is interactive, you type, you see results, you click and refine. The agentic Discovery agent runs in chat, generates a multi-step search plan, and auto-relaxes filters when result counts come up short. Both are useful in different moments of a workflow.

AI Search for hands-on, click-and-refine exploration
Agentic Discovery for hands-off, chat-driven shortlisting
Both share the same underlying creator data and ranking
Switch between modes inside the same project without losing context

Power-user mode

20+ filters when you know exactly what you want

When the brief is precise, 100k-500k followers, 18-24 audience in the GCC, English-speaking, fitness niche, the filter UI lets you stack constraints with surgical control. AI Search and filter search compose freely.

Control what you share with the brand

Search
Engagement rate
Average likes

Frequently asked questions

When should I use AI Search vs filter search?

Use AI Search when your brief is qualitative or visual, describe a vibe and let the system translate it into filters. Use filter search when your brief is precise and you already know which demographics, follower tiers, and engagement bands matter most.

How is AI Search different from the agentic Discovery agent?

AI Search is interactive: you type, results appear, you click and refine. The agentic Discovery agent runs in chat, generates a multi-step search plan, and auto-relaxes filters when results come up short. Both run against the same creator data.

What can I do with image upload search?

Drop a reference photo, a product shot, a lifestyle image, a competitor post, and AI Search ranks creators whose recent content matches that visual aesthetic. Useful for matching mood boards, brand style guides, or competitive references.

How does AI Search billing work?

AI Search uses the same credit model as the rest of the platform. Reloading a saved search from history does not re-bill, so you can iterate on a brief without burning credits each time.

Can I save and revisit my searches?

Yes. Search history saves every query you run, and reloading a past search restores filters and results without repeating the underlying data fetch. Useful for sharing a shortlist with a teammate or returning to a brief days later.

How does AI Search integrate with Projects?

Matched creators push directly from AI Search into any project as new rows, with all preset columns auto-populated. From there, you can score brand fit, run bulk reachout, or pass the roster to the agentic outreach pipeline.

Try Swavy now

Start taking control of your influencer marketing today

Try Swavy now

Start taking control of your influencer marketing today

Try Swavy now

Start taking control of your influencer marketing today