toloka.ai traffic, backlinks, authority, and more

Toloka.ai is a crowdsourced data-labeling and human-in-the-loop platform in the AI and machine learning industry that connects businesses, researchers, and developers with a global workforce for annotation, validation, and data collection services. It is reasonably well-known within the AI and data-labeling community and among companies needing training datasets, but has limited mainstream recognition, with estimated daily visits in the hundreds.

Domain Authority
Authority score: 45/100
45/100

Score assigned based on the strength of the domain online

Monthly Traffic-13.0%
9K

Estimated monthly organic traffic from search engines

Backlinks
43.9K

Total number of links from other websites pointing to this domain

Traffic Analysis

-13.0% vs last month

The site's traffic has declined by 21% year-over-year with over 9,025 monthly visits driven primarily by interest in AI-related concepts and tools, including large language models and generative AI, workforce and annotation services, and related data/privacy roles. Traffic is concentrated in the Asia‑Pacific region (led by India at 28.1%, Pakistan at 8.4% and Indonesia at 7.1%, totaling roughly 51% of visits), followed by North America (led by the US at 11.7%, approximately 13.5% total) and Europe (roughly 19%), indicating strong demand from APAC markets for annotation and AI education services with a meaningful but smaller professional/enterprise audience in North America and Europe.

Domain Preview & WHOIS Information

Domain Preview
Toloka ∙ Training data for AI agents and LLMs
Toloka ∙ Training data  for AI agents and LLMs

Toloka ∙ Training data for AI agents and LLMs

From agentic skills to coding and AI safety — we build data solutions integrating human expertise and technology to accelerate AI development.

WHOIS
Nametoloka.ai
Registrarsafenames ltd.
Registered OnApr 3, 2020
Expires OnApr 3, 2028
Updated OnApr 1, 2026
Name Serversns2-38.azure-dns.net
DNSSEC

The domain toloka.ai was registered on April 3, 2020, through safenames ltd. and uses Azure for DNS and security. At 6 years old, the domain demonstrates established credibility, a mature online presence, a proven track record and accumulated authority that can contribute to stronger trust signals and SEO benefits compared with newer domains.

Domain Authority & SEO Metrics

Authority Metrics
45
Domain Authority
60
Page Authority
45
Trust Score

Toloka shows moderate domain authority and moderate trust alongside strong page-level authority, indicating it benefits from high-performing pages that can win targeted queries but suffers from an overall domain and trust ceiling—practical implication: bolster a high-quality backlink profile and trust signals to move from competitive in niche but limited for authoritative rankings to broader search visibility.

Keyword Rankings

Top Ranking Keywords

toloka data annotation
1K/moSearch Volume
#1Position
toloka ai
720/moSearch Volume
#1Position
toloka annotators
260/moSearch Volume
#1Position
generative ai vs llm
880/moSearch Volume
#1Position
tolaka
140/moSearch Volume
#1Position

The domain toloka.ai has a focused keyword portfolio centered on data annotation and AI education, with high-ranking branded and topical queries that signal a niche SEO positioning targeting developers and data-labeling buyers across both branded and informational intent. The top keyword 'toloka data annotation' attracts daily searches in the dozens with a $5.04 CPC, indicating strong commercial value. The other keywords — "toloka ai" (720 SV, 8% competition, low), "toloka annotators" (260 SV, 5% competition, low), "generative ai vs llm" (880 SV, 6% competition, low) and "tolaka" (140 SV, 9% competition, low) — show low competition across branded and educational queries, revealing a defensible market position with clear audience targeting but limited broader search saturation. The domain's strengths lie in strong organic visibility, healthy keyword portfolio, and competitive SEO performance.

Technology Stack

Frontend
React
jQuery
Gatsby JS
Webpack
Infrastructure
Amazon S3
nginx
Azure Edge
Microsoft
Analytics & Tools
Google Analytics
Google Analytics 4
Google Tag Manager
Hubspot
Security
LetsEncrypt
HSTS
DMARC
SPF

toloka.ai is built on a modern frontend stack that combines React for interactive component-driven UI, legacy convenience of jQuery for DOM shortcuts, Gatsby JS for fast static generation and Webpack for bundling, together delivering improved developer experience and runtime performance with features like server-side rendering and optimal SEO. The backend and hosting rely on infrastructure such as Amazon S3 for durable asset storage, nginx for efficient request handling, and distribution via Azure Edge on Microsoft infrastructure, giving the site practical reliability, scalability, and global distribution through CDN and edge delivery patterns.

The security and DNS layer uses certificates and policies like LetsEncrypt, HSTS, DMARC, and SPF to enforce HTTPS, HSTS protections, and email authentication, supporting DNS management, reducing spoofing and abuse, and helping ensure fast load times and resilience against certain network attacks across regions. For analytics and operational tooling toloka.ai integrates Google Analytics, Google Analytics 4, Google Tag Manager, and Hubspot to provide robust monitoring, conversion tracking, and tag management, improving development feedback loops and user experience through better measurement and marketing workflows.

Competitive Landscape

toloka.ai competes in the data labeling and crowdsourced annotation space against established players like SuperAnnotate, Shaip, LabelYourData, and E2E Networks, and newer alternatives such as specialized boutique labeling services and platformized crowdsourcing marketplaces. Compared to more established players, toloka.ai shows a mid-tier traffic footprint (9,025 organic visits) and a comparable backlink profile, positioning it as a scalable, cost-efficient crowdsourcing alternative that captures a niche by emphasizing rapid task throughput and broad contributor access rather than enterprise-focused feature sets, which explains steady organic interest despite stronger traffic leaders.

With a Domain Authority score of 45, toloka.ai sits level with direct competitors in the data labeling and annotation industry, indicating parity in overall backlink trust even as competitors like SuperAnnotate convert that authority into higher organic traffic. toloka.ai targets users seeking scalable crowdsourcing, cost-effective labeling, and wide geographic/multilingual coverage through platform features and workforce reach, driving strong organic visibility and market penetration among teams prioritizing volume and speed over premium tooling.

FAQ on toloka.ai

Everything you need to know about toloka.ai.

What is toloka.ai's primary business model?

Toloka.ai operates a crowdsourced data labeling and human-in-the-loop platform that connects requesters with a large distributed workforce to perform microtasks such as annotation, verification, and data collection. The company charges customers for completed tasks and related platform services, offering APIs and tooling for task design, quality control, and workforce management.

Is toloka.ai considered a market leader, a challenger, or a niche player?

Toloka.ai is best categorized as a challenger. It leverages a sizable global crowd and competitive pricing to compete with established annotation vendors, but it is not generally cited as the dominant market leader in enterprise data-labeling services.

What makes toloka.ai unique compared to its competitors?

Toloka.ai differentiates itself through a large, flexible crowd workforce and an emphasis on microtask scalability and cost efficiency, enabling fast throughput for varied annotation and data-collection needs. The platform also provides built-in quality control mechanics, configurable workflow tools and APIs that support diverse task types and international data collection.

What are the most recent major updates or strategic shifts seen on toloka.ai?

Publicly available specifics on very recent product releases may be limited, but Toloka.ai has generally been moving toward expanded enterprise features, improved workflow automation and API capabilities, and broader support for multimodal data labeling. The platform’s strategic direction aligns with industry trends of combining human-in-the-loop labeling with automated tooling to improve quality, scalability and integration with ML pipelines.