Quick read
How to read appen.io quickly
appen.io looks like technology & computing. Traffic signals point to roughly 153.7K monthly visits. Current AI trust scoring is 5/100.
What to do next
- Technology detection is incomplete, so infrastructure clues may be more useful than stack tags.
- Open the Traffic tab if you need audience scale and geography before outreach.
- Open the Business tab if trust, monetization, or positioning is your first decision filter.
Provider Completeness
24/56 fields populated (43%)
11 providers
Providers with missing fields
visual: 0/4meta: 0/3seo: 0/5ads: 3/5publisher: 2/5files: 2/3traffic: 7/10whois: 0/6radar: 0/4ai: 6/7
View field-level status
visual: 0/4
Missing: screenshotUrl, dominantColor, palette, storage
meta: 0/3
Missing: title, description, techStackDetected
seo: 0/5
Missing: h1Count, h2Count, internalLinks, externalLinks, imagesCount
Why this module matters
Start here before opening deeper tabs
This overview turns the raw report into a fast read: what kind of site this is, how it appears to perform, and which detail modules are most worth opening next.
- Use the SEO card to judge structure quality.
- Use traffic and rank signals to estimate market weight.
- Use business and trust modules before outreach or partnership decisions.
DNS & Infrastructure
DNS ProviderMicrosoft
Mail (MX)0 appen-io.mail.protection.outlook.com
NS Records4 records
TXT Records4 records
Traffic Stats
Monthly Visits153.7K
Bounce Rate45.00%
Avg Visit Duration10m 23.529999999999973s
Pages per Visit8.9
Top CountryUS
Taxonomy
IAB CategoryTechnology & Computing
IAB Sub-CategoryArtificial Intelligence
Confidence92%
AI training datadata annotationmachine learningcrowdsourcingdata labelingLLM trainingcomputer visionNLP
Technical Files
robots.txtMissing
sitemap.xmlMissing
AI Analysis
SummaryAppen is a leading provider of high-quality training data for artificial intelligence and machine learning models. The company specializes in data annotation, collection, and validation services used to train AI systems including large language models, computer vision, and speech recognition technologies.
Business ModelB2B Services / Data-as-a-Service
Trust Score5/100
SentimentProfessional
Advertising
Is AdvertiserNo
Result Count0
no_advertiser_idno_creative_results
Publisher / Monetization
ads.txtMissing
Monetization Signals
missing_ads_txt
Keep exploring
Keep exploring from this report
Browse the related category, topic, or technology path, open alternatives, or move into comparison when you have a second domain.
Related category
Browse Technology & Computing sites
Move from this site data report into the broader market cluster.
Use category pages when market context matters more than one domain.
Related topic
Browse Artificial Intelligence sites
Use the topic route when audience and editorial intent matter more than category.
Topic pages help you compare audience intent around the same domain.
Alternatives
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Comparison
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