Tiger Finder

Finding TikTok creators isn't particularly difficult. Finding creators whose content genuinely fits a brand, whose audiences are relevant, and whose performance justifies a partnership is a different challenge. Traditional discovery tools can narrow the field using follower counts, categories, and hashtags, but marketers often still need to examine individual profiles to understand what those creators actually produce.

Tiger Finder approaches influencer discovery from the content itself.

The AI-powered platform analyzes TikTok videos, captions, and content themes to identify creators matching a brand's requirements. Rather than navigating numerous filters, marketers can describe the creators they're looking for in everyday language. They can also enter a brand website or product page to generate relevant search ideas.

Founded in 2026 and headquartered in Nicosia, Cyprus, Tiger Finder is powered by technology from YouScan, the established social listening company. That connection is significant because the platform draws on YouScan's experience analyzing visual and textual social media content, applying it specifically to influencer discovery.

The result is a focused tool for teams that need to identify, evaluate, and organize potential TikTok partners without investing in a larger influencer marketing suite.

Tiger Finder also goes beyond its initial AI search with creator performance analytics, audience location filtering, lookalike discovery, and Rising Stars, which identifies creators showing unusually strong recent growth. Saved lists, publicly available contact details, and CSV exports support the transition from discovery to outreach.

However, Tiger Finder is not an end-to-end influencer marketing platform. It doesn't manage campaign execution, creator payments, or campaign-level performance reporting. Its primary value lies in improving the research and selection stages, making it particularly relevant to brands and agencies that already have processes in place for managing partnerships.

Pricing

Tiger Finder offers three subscription tiers, beginning with a free plan and extending to a collaborative workspace for marketing teams. The main differences are search volume, the number of creator results returned, export capabilities, and team collaboration.

Free – $0/month

The Free plan provides 10 AI searches, with up to 24 creator results per search. Users can explore creator performance metrics, audience insights, and save potential partners to lists.

This is useful for smaller brands exploring TikTok influencer marketing or marketers who want to assess the quality of Tiger Finder's recommendations before committing to a subscription.

The limitations become more apparent when sourcing creators across several campaign briefs, since the number of available searches and results is relatively restricted.

Tiger's Friend – $99/month

Tiger's Friend is designed for individual marketers and agencies conducting influencer research regularly.

It removes the search limit, allowing unlimited AI searches with up to 500 creator results per search. The plan also includes advanced filtering, unlimited saved lists, CSV exports, and priority support.

The larger result sets are especially useful for marketers building creator pipelines across different niches, locations, and audience segments. Rather than repeatedly conducting small searches, users can explore more potential partners and organize them into dedicated lists.

Tiger Team – $149/month

Tiger Team includes everything in Tiger's Friend, adding collaborative discovery capabilities for marketing departments and agencies.

The subscription supports three team members and includes shared creator lists, allowing colleagues to work from the same pool of potential partners.

Additional team members cost $39/month each.

For agencies managing influencer discovery for several clients, shared lists help organize research and reduce duplicated effort. Brand teams can similarly use the collaborative workspace to review and refine creator selections before moving into outreach.

Additional pricing details

• Annual subscriptions receive a 17% discount.
• Monthly subscriptions can be canceled at any time.
• Prices are listed in USD, with applicable taxes calculated at checkout.
• The company does not currently offer custom month-to-month plan configurations.

The Details

AI-Powered Creator Discovery and Natural-Language Search

Tiger Finder's most important capability is its approach to matching creators with campaign requirements.

Traditional influencer discovery often begins with structured filters. Marketers specify an industry, location, audience size, or hashtag before evaluating the resulting profiles. While effective for narrowing large databases, this process doesn't always reveal whether a creator produces the specific content a brand wants to associate with.

Tiger Finder allows marketers to begin with a more descriptive brief.

For example, a skincare company could search for creators who demonstrate routines for sensitive skin, rather than simply filtering accounts categorized under beauty.

The distinction is that Tiger Finder analyzes the content creators publish, including visual elements and recurring themes. This helps identify creators whose established content naturally aligns with a product or campaign concept, even when their biographies don't contain the most obvious search terms.

The system interprets the search request and returns matching TikTok profiles, which marketers can subsequently refine with performance and audience filters.

This content-first approach is particularly useful for brands working in specialized consumer categories. A fitness brand looking for creators who demonstrate outdoor training routines has different requirements from one looking for general lifestyle influencers interested in wellness. Tiger Finder can search around those content distinctions without requiring marketers to manually assemble a complicated combination of filters.

For agencies, this also means a client's creative brief can serve as a direct starting point for research.

Importantly, AI matching doesn't remove the need for editorial judgment. Marketers should still examine recent posts, brand suitability, previous collaborations, and the consistency of a creator's content before making a final selection.

Nevertheless, beginning with creators whose existing content is relevant can substantially reduce the amount of unrelated material teams need to review.

Search by Website

One of Tiger Finder's more distinctive discovery features allows users to begin with a brand website or individual product page instead of a written creator description. The platform analyzes the submitted URL and builds a profile of the brand or product, including its category, target audience, content style, and relevant markets.

It then generates three suggested creator searches, each approaching the brand from a different content angle.

These suggestions are editable, and marketers can review the AI's interpretation of the brand before running any search. They can also adjust the suggested filters to reflect campaign requirements.

For example, a brand launching a specific skincare product could use its product page rather than its general homepage. This gives the AI more focused information about the product and helps generate creator-search ideas relevant to that particular launch.

The important detail is that Search by Website generates potential discovery directions rather than automatically selecting a final group of influencers. Marketers choose and refine a suggested search before the platform returns matching creators.

This creates an interesting use case for agencies onboarding new clients. Instead of beginning with a broad industry search, an account manager can explore potential creator categories based on the client's positioning and products.

It can also help brands broaden their thinking beyond creators who already mention their category or competitors. A relevant partnership doesn't necessarily require the influencer to have previously featured the brand, provided their existing content creates a credible context for the product.

For marketers working with several product lines or consumer segments, the website-based approach offers a convenient way to build more differentiated shortlists.

Creator Vetting, Performance Analytics, and Audience Filters

Finding relevant creators is only the first stage. Marketers also need enough information to determine whether those creators are suitable candidates for a campaign.

Tiger Finder provides creator-level performance data, including follower counts, average video views, engagement rates, and growth trends.

These metrics allow users to assess creators beyond their total audience size. A profile with a large following may not necessarily produce the consistent viewership or engagement a brand requires, while a smaller account may demonstrate stronger recent performance.

The platform also offers filters for creator location, audience location, language, age, gender, and account verification status, alongside performance thresholds.

One particularly useful distinction is the separation between where a creator is located and where their engaged audience is located.

A creator based in one country may attract substantial engagement from people elsewhere. For a brand operating within a specific market, that difference can affect the relevance of a partnership.

Tiger Finder's audience location estimates use geographic signals from people commenting on a creator's content. Marketers can select countries and specify minimum audience-share thresholds.

This provides a way to identify creators with visible engagement in target markets, although the figures should be understood as estimates of engaged-audience geography rather than a complete breakdown of all followers or viewers. The audience location filter currently operates at the country level.

Another useful feature is the AI Profile Classifier, which distinguishes individual creators from businesses, shops, organizations, and other non-personal accounts. This can reduce the manual cleanup required when a search returns a mixture of individual influencers and commercial profiles.

These capabilities make Tiger Finder useful for initial creator vetting, particularly when marketers need to compare several candidates using consistent performance criteria.

However, its analytics are focused on creator evaluation. Teams requiring extensive audience purchase-intent data, detailed authenticity investigations, or campaign-level ROI reporting will need additional tools.

TikTok Profile Analysis and Lookalike Discovery

Tiger Finder also supports a different discovery workflow for marketers who already have a creator in mind.

Rather than starting with a new search, users can enter an existing TikTok username into the platform's profile analysis feature.

The system provides a summary of the creator, including follower count, average views, engagement rate, location, and primary content themes. More detailed profile information includes growth trends and audience insights.

Below the analysis, Tiger Finder suggests other creators whose content resembles the original account.

The lookalike functionality is based on similarities in content, themes, and style, making it particularly relevant when a brand has already identified an effective creative approach or a promising influencer.

For example, an agency working with a creator known for detailed product demonstrations can explore other accounts producing similar content without relying on the same broad category filters.

The suggested creators can be refined using location and performance criteria, allowing teams to find alternatives that better match a campaign's audience or budget requirements.

This is valuable when expanding an existing influencer program, developing a backup shortlist, or identifying potential partners with comparable content styles.

It's worth distinguishing content similarity from audience similarity, however. Creators producing similar videos do not necessarily attract identical audiences. Marketers should still evaluate each recommendation's audience and engagement data independently.

Rising Stars and Fast-Growing Creator Discovery

Follower count provides a snapshot of a creator's current audience, but it doesn't necessarily indicate where the account is heading.

Tiger Finder's Rising Stars feature addresses this by identifying creators showing particularly strong recent growth.

Rather than flagging creators simply because they have accumulated a large following, the platform evaluates growth relative to accounts of a similar size. It uses signals from audience growth and content performance to identify creators outperforming their peers.

Users can enable a Rising Stars filter alongside their existing discovery criteria. Matching profiles receive a Rising Star badge, and results are ordered according to the platform's growth-based score.

This makes the feature useful for brands interested in establishing relationships with creators before they become widely recognized in their categories.

It may also help marketers diversify shortlists beyond established influencers, particularly when working with smaller budgets or developing longer-term partnerships. The feature is relevant to agencies building ongoing creator pipelines, where identifying emerging talent can be as important as sourcing influencers for immediate campaigns.

However, strong recent growth should not be treated as a guarantee of future campaign performance. Marketers still need to examine content consistency, audience relevance, and commercial suitability before committing resources.

Contact Discovery, Shortlists, and Team Collaboration

Tiger Finder includes practical tools for organizing creators once relevant accounts have been identified.

Users can save profiles to dedicated lists and organize potential partners by campaign, client, brand, or target market. The same creator can also be included in multiple lists, which is useful when an influencer fits more than one campaign.

The platform surfaces publicly available contact information, including email addresses and contact links when creators have shared them. A dedicated filter allows marketers to prioritize creators with publicly listed email addresses, making it easier to build shortlists that can move directly into outreach.

However, this is contact discovery rather than automated influencer recruitment. Tiger Finder does not function as a complete outreach or relationship management system.

For teams using the paid plans, creator lists can be exported as CSV files containing available profile information and performance metrics.

The exported data can be opened in Google Sheets or Microsoft Excel and imported into compatible CRM or outreach platforms.

This gives marketers flexibility to use their existing systems, although the lack of native integrations means some manual transfer of information remains necessary.

Tiger Team extends these capabilities with shared creator lists and a collaborative workspace. This is particularly relevant for agencies where several employees contribute to researching, evaluating, and approving potential influencers.

The overall workflow remains straightforward. Discover relevant creators, assess their suitability, save promising profiles, and transfer the shortlist into the team's preferred outreach process.

Conclusion

Tiger Finder takes a deliberately focused approach to influencer marketing software.

Rather than attempting to manage every stage of a campaign, it concentrates on improving one of the most time-consuming early tasks, finding creators whose content and performance align with a brand's requirements.

Its strongest advantage is the combination of natural-language search and video-content analysis. Marketers can describe the kind of content they want, explore creator categories suggested from a brand website, or expand an existing shortlist using content-based lookalikes.

The addition of creator performance analytics, audience location filtering, and Rising Stars makes the platform useful beyond basic account discovery.

For smaller brands and marketing teams, the free plan provides a practical introduction to AI-powered influencer research. The paid plans are more appropriate for organizations running recurring campaigns, while Tiger Team offers shared discovery capabilities for agencies and larger departments.

There are clear limitations. TikTok is currently the only supported social network, and teams still need other systems for outreach automation, campaign management, payments, and post-campaign reporting.

Nevertheless, these limitations reflect the platform's specialization rather than a failure to deliver an advertised end-to-end solution.

For brands and agencies that already have campaign execution processes in place but want a faster, more content-relevant approach to TikTok creator discovery, Tiger Finder is a compelling option to evaluate.