One of the primary missions of HypeAuditor is to combat fraud and inauthenticity in influencer marketing. The same goes for this article, which contains a list of best tools that are verified to be able to detect influencer fraud. This article encourages and helps marketers to choose then use reliable tools that suit their focus, since each of them offers different ways of spotting fake activity. In broader context, this article serves as our commitment to create an honest, transparent space in influencer marketing.
Influencer fraud is more common than most marketers think. It happens when influencers inflate their numbers to appear more influential than they really are. This can include buying fake followers, using bots to boost engagement, or joining pods to make their content look more popular. On the surface, they might seem like a great fit, but the audience they claim to reach may not even exist.
The impact goes far beyond fake likes. Research shows that campaigns targeting influencers with more than 30% fake followers often see 58% lower conversion rates. According to a report in 2019, brands would lose around $1.3 billion each year to influencer fraud. On top of that, fake engagement leads to skewed data, making it harder to understand what’s working. It also affects brand trust. About 74 percent of people say they are less likely to trust brands that work with fake or inauthentic influencers.
Of course, not every influencer is doing this. Most social media accounts attract some level of bots over time. But when more than 25 percent of their followers look fake or inactive, it could be a warning sign. That is where influencer fraud detection tools come in. These platforms help brands avoid costly mistakes by checking for real audience quality, suspicious growth, unusual engagement, and other signs of fraud.
Each tool has its own way of spotting fake activity. Some focus on follower authenticity, some analyse engagement behavior, while others look into audience credibility and past patterns. Instead of relying on gut feeling or surface stats, you can use these tools to back your decisions with actual data. In the list below, we have gathered 21 influencer fraud detection tools that can help you pick real creators with real reach. Take your time and see which one fits your needs best.
1. HypeAuditor
HypeAuditor is widely known as one of the most reliable platforms when it comes to spotting fake influencers. It uses a machine-learning model trained on over 53 behavioral patterns to detect low-quality or suspicious followers. From follower growth to engagement authenticity, HypeAuditor looks at multiple signals to help brands figure out if an influencer’s audience is made up of real people or bots.
One of its standout features is the Audience Quality Score (AQS), a unique scoring system from 1 to 100 that gives a quick, useful overview of how trustworthy an influencer’s audience is.
What makes HypeAuditor the best tool to detect influencer fraud is how deeply it looks into audience data. You can check the ratio of real versus fake followers, see how reachable they are, and get a sense of overall audience quality. Historical metrics like follower growth and engagement trends are also included, and these are benchmarked against market averages. This helps marketers put the data into context instead of making blind guesses.
On top of that, influencer reports are ready to use, saving teams from spending hours doing manual checks. For quick checks, HypeAuditor even offers a free Instagram fake follower checker and a video course that teaches you how to spot fake influencers like a pro. Their strong commitment to clean influencer marketing makes them a leader in fraud detection.
G2 users highlight the following pros for HypeAuditor:
Audience Quality Score that gives a quick authenticity snapshot during vetting
Fraud detection signals that help reduce wasted spend on fake or low quality audiences
Clear demographic breakdowns for sanity-checking audience fit by country age and gender
Time saving workflow for comparing creators and keeping evaluation consistent
Forecasting mentioned as valuable for setting expectations before committing budget
Key Features & Use Cases
When the risk is fake followers or inflated engagement, HypeAuditor’s strength is how it turns a complex authenticity review into a readable set of signals. The platform looks at multiple patterns around audience and behavior, then surfaces the results through metrics like Audience Quality Score so the first pass is fast and consistent.
HypeAuditor is a strong fit for teams that need to defend creator choices internally. Agencies, performance marketers, and lean in house teams can use audience quality, engagement authenticity, growth anomalies, and comment quality type signals to flag accounts that look risky before they ever reach contracting. That keeps fraud prevention upstream, where it actually saves money.
It also works well as a repeatable “final check” tool before signing a creator. The free fake follower checker exists for quick spot checks, and the deeper reports help teams document why an account passed or failed review, which matters when brand safety is on the line or when budgets are tight.
Pricing: Available upon request.
Free Trial: Available with certain limitations.
Suitable Platforms: Instagram, TikTok, YouTube, Twitch, X (previously Twitter), Snapchat
2. Famesters
Famesters puts fraud protection in influencer marketing at the center of its service. Their AI-based tool checks social media profiles for fake engagement, spammy behavior, and unusual patterns that point to dishonest activity. You can submit influencer URLs directly to the system, and it returns a report showing everything from audience quality to possible red flags. It also examines past content and collaboration history, so you're not just looking at surface stats. Famesters helps brands choose creators who bring real value instead of inflated numbers.
Key Features & Use Cases
Famesters positions itself around fraud prevention first, using its own AI-based fraud detection tool built for influencer marketing. The fraud protection page says their system examines social media profiles and separates genuine engagement from fraudulent activity, so campaigns are anchored by authentic influencers instead of inflated numbers.
This is most useful for teams that keep getting burned by “good on paper” creators. If a team is vetting creators across different markets or niches, Famesters’ approach is built for running audits early and filtering out risky profiles before contracts and spend happen. In practice, it fits performance marketers and brand teams that want a clear screening layer and fewer bad surprises mid campaign.
Important Features: Fake engagement scan, AI-based bot detection, audience breakdown, past performance analysis
Pricing: Pricing available upon request
Suitable Platforms: YouTube, Instagram, TikTok, Twitch, and more
3. NeoReach
NeoReach offers a fraud detection system that checks if influencers have fake followers or artificially inflated engagement. It analyzes post behavior, growth spikes, and patterns tied to known bot farms. The process is simple — submit social profile links and get back a fraud report. You can also use their Fraud Detection API to evaluate influencer credibility before signing any deals. NeoReach helps protect your budget by confirming the authenticity of an influencer’s relationship with their audience.
G2 users highlight the following pros for NeoReach:
Large creator-database that makes cross-checking profiles easier at scale
Data-heavy influencer profiles with historical performance visibility
Campaign-level analytics that help spot engagement inconsistencies over time
Platform flexibility for agencies and in-house teams running multiple audits
Support team that helps with setup and data interpretation
Key Features & Use Cases
NeoReach is a solid option when spotting suspicious behavior requires more than a surface check. Creator profiles include historical performance data, which helps teams notice irregular growth patterns or engagement shifts that don’t line up with typical audience behavior. This kind of longitudinal view is useful when fake growth or short-term engagement inflation is the main concern.
The platform fits teams that vet creators at scale and need consistency in how reviews are done. Agencies and in-house teams can compare creators across shared benchmarks and flag outliers before shortlisting. Because creator data and campaign analytics live in the same system, NeoReach also makes it easier to document why a profile was approved or rejected based on data-driven signals rather than gut feel.
Pricing: Available upon request
Free Trial: Not specified
Suitable Platforms: Instagram, YouTube, TikTok, Twitter
4. Influencer Intelligence
Influencer Intelligence pairs influencer discovery with specialist audit services designed to uncover bots and fake followers before you sign contracts. Its Influencer Audit and bot-detection capabilities dig into audience authenticity, engagement quality, and growth patterns to highlight suspicious accounts, while campaign measurement reports show how chosen creators actually perform against brand KPIs. Combining data science with expert review, the platform helps brands move beyond vanity metrics, focus on credible reach, and protect budgets from inflated or fraudulent audiences.
Key Features & Use Cases
Influencer Intelligence is a solid fit when fraud-checking needs to go beyond a quick “fake-follower percentage” and into pattern-spotting. Their own writing leans on bot-detection basics like engagement-to-follower ratios and other red-flag checks, and they also talk about deeper audience-analytics work inside the platform. That combination is useful when a creator looks fine at first glance, but the audience behavior feels off once you zoom in.
It’s a good match for teams that do a lot of pre-campaign vetting and need a repeatable way to review creators across markets. Influencer Intelligence describes an integration-focused “Influencer Insights” platform with a large profile set, plus post-level analysis tools that can be filtered by platform and date. In practice, that supports a workflow where teams sanity-check performance patterns over time, flag suspicious spikes, and document why a creator passed or failed screening.
Pricing: Available upon request
Free Trial: Not available.
Suitable Platforms: Instagram, TikTok, YouTube
5. Infloq
Infloq is a performance-based influencer marketing platform that connects brands with verified creators and ties payouts directly to results. Its ecosystem includes a free Instagram Fake Follower Checker that scans followers for bots, inactive accounts, and suspicious activity, giving you a quick authenticity read before you commit budget. On top of that, Infloq’s AI-driven creator matching, campaign analytics, and automated payments make it easier to running pay-per-performance collaborations where you only reward creators who deliver genuine engagement and conversions.
Key Features & Use Cases
Infloq is built for quick, in-the-moment fraud-checking. Its free Chrome extension is positioned around influencer analytics plus verification, including fake-follower detection, engagement metrics, and audience insights. That’s handy when a creator looks “fine” on the surface but needs a fast legitimacy check before outreach or spend.
It fits teams that need a repeatable pre-campaign screening step without heavy setup. Infloq also publishes a free fake-follower checker that surfaces authenticity-style outputs like fake-follower percentage, engagement-quality, suspicious accounts, and bot-interaction rate. In practice, this works well for lean brand teams and agencies doing high-volume shortlisting who want a consistent red-flag scan before moving creators forward.
Pricing: Starts at $19/month, custom plans available
Free Trial: Yes, 30-day free trial available
Suitable Platforms: Instagram (for fake-follower audits), plus broader tools for TikTok, YouTube, Facebook, X (Twitter), LinkedIn and other major social platforms
6. Influencer Hero
Influencer Hero gives you a free Instagram fake follower check that shows the percentage of suspicious followers and fake engagement. It looks at sudden growth spikes, spammy comment patterns, and follower activity to assess how authentic an influencer’s audience really is. It even scans follower accounts for blank bios or missing profile pictures, which often indicate fake users. For quick scans, they offer a Chrome extension that works directly on influencer profiles. This makes it one of the most practical tools for fast and easy audience checks.
G2 users highlight the following pros for Influencer Hero:
Influencer-management workflow that keeps outreach, tracking, and reporting in one place
One-click campaign-management flow that speeds up day-to-day ops
UGC tracking and content-download capability mentioned as a standout
Key Features & Use Cases
Influencer Hero fits teams that want a fraud-checking layer that’s practical. The platform combines creator search with profile analytics and a CRM-style workflow, and it can be used as a repeatable vetting step before outreach. In real terms, it helps teams avoid profiles that “look big” but don’t hold up once you check audience details and performance signals inside the platform.
It’s most useful for high-volume programs where fake or low-quality creators slip in because the team is moving fast. Agencies and lean in-house teams can use the Chrome extension to capture creators into the CRM while browsing, then keep review notes, outreach, and tracking together. For performance-driven programs, affiliate links and discount codes add a second line of defense because conversions and clicks tend to expose inflated influence quickly.
Pricing: Starts at $454/month, paid anually
Free Trial: Not available
Suitable Platforms: Instagram, TikTok, YouTube
7. Keepface
Keepface offers an AI-powered fraud detection system that looks at influencers' real versus fake followers, comment quality, and audience demographics. It highlights influencers with authentic performance metrics and filters out profiles with signs of manipulation. The platform also provides influencer media value, helping brands assess if a partnership is worth the spend. These insights are backed by AI, making the review process faster without sacrificing depth.
G2 users highlight the following pros for Keepface:
Real engagement rates and influencer scoring for vetting
Detailed campaign performance reports after launch
Automated operational workflow that makes real-time management easier
Key Features & Use Cases
Keepface is a good fit when the main goal is catching inflated creators early, then documenting why they passed or failed review. The platform description on G2 explicitly calls out deep analytics and fake-follower detection, plus in-depth audience and performance analysis, which supports a repeatable screening step before a creator gets approved.
It also works well for teams that want fraud-checking to connect to campaign reporting. Keepface positions real-time tracking and reporting at the post, influencer, and campaign level, so teams can spot creators whose “on-paper” metrics do not translate once content goes live, then keep the evidence in the same system for internal reviews.
Pricing: Depends on performance
Free Trial: Not specified
Suitable Platforms: Instagram, YouTube, TikTok, Twitter
8. InsightIQ
InsightIQ is an AI-powered influencer marketing platform focused on audience quality, authenticity, and brand safety. Its discovery and audience analysis tools let you filter creators by detailed demographics, affinities, and engagement metrics while automatically distinguishing real from fake followers and low-quality interactions. Real-time campaign dashboards surface engagement trends, cost metrics, and brand safety signals, so teams can compare creators side by side and vet them faster before campaigns go live.
Pros about InsightIQ highlighted by Product Hunt reviews:
Workflow feels time-saving for running influencer campaigns
AI-based audience sentiment mentioned as a differentiator
“Creator Linkage” cuts down back-and-forth emails
Key Features & Use Cases
If the fraud-risk you worry about is brand-safety more than fake followers, insightIQ leans hard into screening. Their Brand Safety page describes social-media screening APIs that can scan a creator’s profiles and flag problematic content based on custom risk criteria, with multi-modal support across text, audio, images, and video. It also mentions GARM compliance and profile-level sentiment analysis, which helps when the “risk” is context and language, not just numbers.
This is a good fit for teams that need a repeatable pre-campaign check across many creators, markets, and platforms. insightIQ frames its offering as both a platform and an API stack, which is useful if you want screening embedded into an internal workflow, or if an agency needs consistent checks across accounts. The free tools list also calls out an Instagram fake-follower checker and a brand-fit checker, so teams can do quick spot-checks before going deeper.
Pricing: Custom
Free Trial: Yes
Suitable Platforms: Instagram, YouTube, TikTok, LinkedIn
9. Anura
Anura’s focus is on protecting ad budgets by filtering out fake traffic across social platforms, including influencer fraud. It detects bots, click farms, and other forms of artificial engagement with 99.999 percent accuracy, which is one of the highest rates in the industry. Anura works in real time, hiding your campaigns from fake profiles that would otherwise waste impressions and money. If your influencer campaigns include paid ads or traffic goals, this kind of safeguard can make a real difference.
G2 users highlight the following pros for Anura:
Extra fraud-detection layer that adds peace-of-mind for affiliate and paid-traffic programs
Clear value for filtering invalid traffic so reporting stays cleaner
Helps protect budget by blocking bots and click-farm activity in real time
Key Features & Use Cases
Anura is built for teams fighting ad-fraud and lead-fraud, but it maps cleanly to influencer-fraud problems when the risk is “traffic that isn’t real.” On its site, Anura focuses on real-time invalid-traffic detection that identifies bots, click farms, fake users, and other non-human activity before it pollutes performance data. If influencer campaigns are driving paid traffic to landing pages or lead forms, this is the kind of tool that catches fake clicks and fake form-fills before they get counted as “results.”
It’s a strong fit for performance-focused teams running affiliates, promo-links, or creator-driven acquisition who keep seeing suspicious spikes, high CTR with no conversions, or low-quality leads. Anura’s product pages highlight coverage for bot-detection, click-fraud, and lead-form validation, so teams can keep attribution and optimization decisions grounded in real-user behavior.
Pricing: Not publicly listed
Free Trial: Yes, a 15-day trial available
Suitable Platforms: Instagram, Facebook, TikTok, Twitter, YouTube, LinkedIn
10. Social Native
Social Native uses AI-powered fraud detection to help brands avoid fake influencers. Through their Creator Discovery tool, brands can search and filter creators while the system flags fake engagement and fake followers using first-party data and behavioral signals. This keeps campaigns clean and focused on real people who will actually engage with your brand. The platform is especially useful for teams that want data to support decisions without giving up full control over the creator search process.
G2 users highlight the following pros for Social Native:
AI-automation that reduces manual work around sourcing and managing creator content
Content-management workflow that helps keep creator content organized for marketing use
Covers multiple pieces of the workflow including discovery rights-management and payments
Key Features & Use Cases
Social Native makes sense when the fraud risk is “creator content that looks real but isn’t driven by real people.” Their own materials talk about using AI-powered technology to combat fake engagement, and they position the platform around operational control points like rights-management and creator handling. This fits teams that want fraud-reduction baked into the workflow rather than bolted on as a last-minute check.
It’s also a good fit when brand-safety and authenticity checks are part of who gets into the program in the first place. On their creator-facing pages, Social Native explicitly lists authenticity screening (no non-genuine followers or spammy activity) alongside brand-safety criteria. That’s useful for brands running always-on UGC and influencer programs where the goal is fewer risky creators entering the pipeline, not only flagging issues after content is live.
Pricing: Not publicly listed
Free Trial: Not specified
Suitable Platforms: Instagram, TikTok, YouTube
11. Buzzoole
Buzzoole has built its influencer fraud detection around real performance data provided directly by influencers through linked business accounts. With access to verified Instagram and Facebook metrics, the platform can detect fake followers, suspicious reach patterns, and unusual audience behavior. It uses machine learning to evaluate post reach, profile views, and growth trends in a way that quickly reveals signs of fraud. This direct-data approach gives brands a clearer look at who they’re actually working with.
G2 users highlight the following pros for Buzzoole:
Easy setup for adding social accounts and setting rates for promoted content
Helps creators monetize social channels through brand promotions
Social-media management support tied to monetization workflows
Key Features & Use Cases
Buzzoole is worth considering when fraud-risk is a real concern and you want that screening baked into an influencer workflow. On Buzzoole’s own site and blog, they describe proprietary technology designed to detect unethical behaviors and suspicious followers, so brands can avoid partnering with creators who rely on fake accounts, fake followers, or fake engagement.
It fits teams that need a repeatable pre-campaign check plus ongoing monitoring. Buzzoole positions products like Discovery and Tracker for creator selection and real-time campaign tracking, and their “Check Up” framing is about verifying influencer marketing activity and spotting weak signals early. That combination suits agencies and brand teams that want to screen creators upfront, then keep an eye on performance patterns once content starts rolling out.
Pricing: Starts from €89 per month
Free Trial: Not available
Suitable Platforms: Instagram, Facebook
12. IMAI (Influencer Marketing AI)
IMAI includes influencer fraud detection tools in every plan. The system automatically checks for fake followers, suspicious engagement, and unnatural growth trends to make sure you’re working with authentic influencers. It’s a hands-off process that scans accounts and flags problems without you needing to dig through the numbers manually. For marketers looking to protect their budget while scaling campaigns, this built-in fraud filter can be a valuable layer of defense.
G2 users highlight the following pros for IMAI (Influencer Marketing AI):
Deep profile insights that support better creator selection
Time saved on sourcing and research compared to manual workflows
All-in-one setup for discovery, campaign work, and performance tracking
Key Features & Use Cases
IMAI is a good fit when the main fraud-risk is creators who look strong on surface metrics but have questionable audience authenticity. On its own site, IMAI emphasizes audience-quality insights and fraud detection that flags fake followers and suspicious engagement patterns, so teams can screen creators before they get anywhere near a budget or contract.
It’s most useful for teams that need a repeatable vetting routine at volume. The platform pitches AI-powered search plus consistent scoring, then connects that to campaign stages and performance tracking, so teams can document why a creator was approved or rejected and keep that logic consistent from one campaign to the next.
Pricing: Starts at $99/month
Free Trial: Yes, 7-day free trial available
Suitable Platforms: Instagram, TikTok, YouTube
13. Collabstr
Collabstr offers a fast and simple way to detect fake followers on Instagram and TikTok using two free tools. You don’t need an account to run a basic check, which is great if you’re vetting influencers on the go. The platform flags suspicious engagement patterns, helps confirm audience authenticity, and gives a clearer picture of whether a creator is worth the investment. It also has tools for influencer discovery and vetting, giving you more control over fraud risks during selection.
Trustpilot reviewers highlight the following pros for Collabstr:
Clear briefs and instructions that make delivery straightforward
Payment protection is repeatedly described as reassuring for creators
File uploads and delivery steps work reliably during collaborations
Key Features & Use Cases
Collabstr is not a dedicated fraud-detection tool, but it reduces a different kind of “fake” risk: paying for deliverables that never arrive or working with low-effort partners. On Collabstr’s site, brands browse vetted creators with upfront packages, purchase and chat securely, and Collabstr holds payment until work is completed. That escrow-style flow is a practical guardrail when a team wants faster transactions and fewer unpleasant surprises.
It also works well as a controlled intake funnel for collaborations. The “Post a Campaign” flow includes a guided brief-builder, targeting options, usage-rights fields, attachments like brand guidelines, and optional pre-vetting questions for applicants, plus an account-manager review before a campaign goes live. For teams trying to keep creator selection and fulfillment disciplined, this setup helps filter applicants early and keeps the process traceable end-to-end.
Pricing: Starts at $299/month
Free Trial: Available
Suitable Platforms: Instagram, TikTok
14. Upgrow
Upgrow focuses on audience quality by offering a tool that lets you analyze any Instagram account for fake followers or bot-like behavior. The company’s AI engine, built over several years, checks for red flags like inactive accounts and suspicious follower activity. It is designed to help you detect fake followers before they affect campaign performance. Upgrow also has a free tool to check Instagram fake followers powered by AI.
Trustpilot reviewers highlight the following pros for UpGrow:
Noticeable lift in leads website traffic and revenue reported by multiple reviewers
Strong client service and responsiveness called out repeatedly
Attention to detail and willingness to understand goals before execution
Positive impact for small shops through better online presence and local results
Key Features & Use Cases
UpGrow is positioned as an Instagram-growth platform that claims Instagram-compliant, organic follower growth, with a focus on attracting active and engaging followers. For teams worried about “growth” that’s really just bot-inflation, UpGrow’s official messaging is centered on safe growth without fake accounts and without risky automation patterns.
It’s most relevant for small brands and creators who want to grow Instagram as a channel, but do not have the time to run daily engagement routines themselves. The site frames the product around always-on growth and hands-off management, which fits teams that want to outsource the day-to-day grind and keep their attention on content, offers, and customer work.
Pricing: Starts at $69/month
Free Trial: Yes
Suitable Platforms: Instagram
15. Social Auditor
Social Auditor gives you a detailed look into influencer credibility by scanning their followers, likes, and comments across Instagram, TikTok, and YouTube. It checks for mass followers (accounts that follow thousands of profiles) and flags suspicious engagement so you can identify fake followers and engagement patterns easily. It also breaks down the real audience demographics to help you understand who the influencer is actually reaching. This level of detail makes it easier to choose influencers whose audiences are both real and relevant.
Important Features: Mass follower scan, comment behavior analysis, audience authenticity check, cross-platform support
Pricing: Starts at $49/report
Free Trial: No
Suitable Platforms: Instagram, TikTok, YouTube
16. Qoruz
Qoruz uses a scoring system called Creator Authority Score to help brands spot influencer fraud by analyzing unusual growth patterns, bot-like engagement, and poor ROI indicators. It looks beyond follower counts and measures key factors like audience stability, growth trends, and real impact. Influencers with organic growth show linear graphs with minimal anomalies, while fraud-prone accounts often spike erratically. This tool is designed to help brands avoid flashy numbers that don't translate into real value.
G2 users highlight the following pros for Qoruz:
Influencer-management features that support day-to-day vetting and shortlisting
Filtering features that speed up finding relevant creators
Qoruz Score and engagement-rate metrics that help with first-pass screening
Key Features & Use Cases
Qoruz fits teams that need a repeatable creator-screening step and want to catch “looks good on paper” profiles early. Reviews call out its influencer-scoring and filtering, which are useful for quick shortlists, then deeper audience-analysis to validate the pick before outreach or contracts.
It’s most useful for agencies and in-house influencer teams running frequent campaigns where consistency matters more than gut feel. The platform’s scoring plus audience and engagement metrics provide a simple framework for flagging outliers, then documenting why a creator passed or failed review when stakeholders ask for proof.
Pricing: Not publicly listed, free plan available
Suitable Platforms: Instagram, YouTube, Twitter, TikTok
17. influData
infludata is built to provide authentic influencer data by checking audience structure and flagging risky behavior. It highlights warning signs like follow-unfollow tactics, mass followers, and sudden engagement spikes. The platform also gives insights across influencer collections, so you can review multiple accounts without comparing manually. This helps you pick creators who not only look good on paper but also have a reliable, engaged audience.
Capterra reviewers highlight the following pros for influData:
Clear layout and easy-to-navigate interface
Lots of practical insights that make influencer research feel faster
“Self-explanatory” workflow that feels quick to learn
Key Features & Use Cases
influData is a good fit when the fraud-risk is subtle, like inflated audiences or engagement that looks off once you check the details. The platform is built around searching and analyzing a large set of creator accounts with 50+ metrics and audience insights, so teams can pressure-test a creator beyond vanity numbers and catch red flags early.
It also works well for teams that want screening plus proof in the same flow. influData positions itself as supporting campaign-performance tracking “without manual work,” which helps when a team needs to validate that a creator’s impact holds up after posts go live, not only during pre-campaign vetting.
Pricing: Starts at $799/month
Free Trial: No
Suitable Platforms: Instagram, TikTok, YouTube
18. FameAudit
FameAudit runs audience credibility checks on influencers by scanning for suspicious follower growth, mass followers, and bot activity. The results come in the form of a clear Audience Credibility score, which gives a quick sense of how real the influencer’s audience is. You’ll also get breakdowns by age and gender, so you can match the influencer with your target market more precisely. It’s a simple yet focused tool to help brands work with trustworthy creators.
Important Features: Audience Credibility score, bot comment detection, growth pattern scan, demographic data
Pricing: $1 per token
Free Trial: Information not specified
Suitable Platforms: Instagram
19. GRIN
GRIN offers a fake follower audit tool that gives a score from 0 to 100, helping you spot trends tied to suspicious behavior. A low score may suggest erratic growth or signs of manipulation, while higher scores tend to reflect more stable, real followers. Although the results aren’t absolute, the tool is a great starting point to spot influencer fraud before investing in a partnership. GRIN also provides other free tools, making it useful for small teams who need to move fast.
G2 users highlight the following pros for GRIN:
One-platform workflow for creator recruiting payments and content tracking
Centralized inbox and templates for managing creator communication
UGC management and campaign tracking that supports day-to-day operations
Key Features & Use Cases
GRIN is a practical option when fraud-checking needs to happen early, before outreach gets far. GRIN offers a free fake-influencer tool that audits an account for fake followers and provides a credibility score, which works well as a quick screening step before a creator ever enters a campaign.
It also helps teams catch “soft fraud” that shows up during execution, like creators who post inconsistently or whose performance does not match the pitch. GRIN’s platform automatically pulls creator content into an organized library by campaign and creator, making it easier to confirm what actually went live and compare delivery against expectations over time.
Pricing: Available upon request
Free Trial: Not available
Suitable Platforms: Instagram, TikTok, YouTube
20. FakeCheck
FakeCheck is a quick and practical tool to assess an influencer's social reach and engagement quality. You just enter their Instagram username and the tool checks for suspicious audience behavior, giving you a sense of how many real followers they have. It’s built for marketers, creators, or anyone curious about account authenticity. This helps prevent wasted ad spend by highlighting influencers with inflated numbers.
Important Features: Real follower analysis, suspicious activity flag, social engagement review, fast checks
Pricing: Free
Suitable Platforms: Instagram
Methodology
To build this list of influencer fraud detection tools, we used a mix of manual research and AI support. We began by searching for platforms that offer features like fake follower analysis, engagement authenticity checks, and audience quality scoring. Google helped us surface known options, while tools like ChatGPT and Perplexity helped broaden our search with additional suggestions.
After collecting a list of candidates, we manually reviewed each one. We visited their official websites, read through feature pages, and, where possible, explored the dashboards to confirm they truly offer fraud detection capabilities; not just general analytics.
All listed features, pricing details, and tool descriptions are taken straight from official sources. While AI helps streamline our writing process, every detail is double-checked by our team. Nothing gets published without a final human check.
When data or research is mentioned, it comes either from our internal findings or external sources we trust; such as published studies, industry reports, or well-established media outlets.
Conclusion
Influencer fraud is more than just a numbers issue. It affects how well your campaigns perform, how much you spend, and how your brand is perceived. With so many influencers competing for attention, it's easy to get misled by inflated metrics. That’s why checking for authenticity is no longer optional. It’s a step that protects both your budget and your brand reputation.
Using a fraud detection tool gives you more than just peace of mind. It helps you work with creators who actually reach real people. A useful habit is to review the influencer’s audience quality, spot any unusual growth patterns, and compare their engagement with industry benchmarks. When you combine these insights with your own experience and goals, it becomes much easier to make confident decisions. The tools are here to help, but the real impact comes from how you use them.
