AI Visibility Scorecard
Sift
siftscience.com · Technology
Somewhat visible. AI bots can read Sift, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 4 times
Meta AI · Claude · Apple Intelligence
#23,379 of 2,705,713 in Technology for AI visibility
7
AEO Visibility
iVisible · 6.7/10
55
Muse Index Score
iAI agent readiness
Agent-ready · 55/100
4
AI Adoption
iBasic · 4/100
About Sift
from our crawl and measurement
Sift is a business whose own site puts it this way: "Sift’s fraud prevention and risk-based authentication platform empowers digital businesses to grow fearlessly and reduce risk without compromising trust." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.7 out of 10, readable in places and missing in others.
On the page itself the strengths are clear: structured data describing the business, a clear heading structure, a clearly stated business identity, crawler access and the files AI engines look for and sitemaps and entity links AI can follow. What holds it back is credibility markers like credentials or reviews.
Away from its own site, other sites link to it and people discuss it in places AI engines read. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on and it does not come up on Reddit. Those are earned elsewhere on the web, not fixed on the site itself.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic). It does link out to several social profiles, which helps engines tie the brand together.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Strong
Forum and community discussion.
Social Mentions
Weak
No social discussion found yet.
What this score means
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.7/10, Sift has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
What is Sift?
Sift is the AI-powered fraud platform delivering identity trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com.
What is account takeover (ATO) fraud?
Account takeover fraud happens when a bad actor gains unauthorized access to a user account, often through stolen credentials or social engineering. Once inside, they can steal data, make purchases, or commit further fraud.
How does Sift prevent account takeover attacks?
Sift uses AI-powered machine learning models and behavioral signals to detect suspicious activity in real time, stopping account takeover attempts before damage is done—without disrupting legitimate users.
What is payment fraud in digital commerce?
Payment fraud involves unauthorized or deceptive transactions, such as using stolen credit card information or exploiting checkout processes to avoid payment.
Can Sift reduce chargebacks from payment fraud?
Yes. Sift’s AI-powered decisioning blocks fraudulent transactions in real time, helping reduce chargebacks, fees, and manual review costs.
How does Sift use machine learning to detect fraud?
Sift uses continuously trained machine learning models that analyze behavioral signals, device data, and global fraud patterns to detect and stop fraud in real time.
What types of fraud can Sift detect and stop?
Sift helps stop payment fraud, account takeover, fake account creation, referral and promo abuse, and content abuse across industries.
What companies use Sift?
Leading digital brands like Alaska Airlines, Hertz, and Turo use Sift to fight fraud, reduce friction, and protect user trust at scale.
Is this your brand?
The exact fixes for Sift
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The AEO Checklist Every Small Business Owner Needs Right Now
Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Source & Attribution
Scored by Engagemii on July 30, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/siftscience
Cite this score: Engagemii (2026). "AEO Score for Sift." Retrieved from https://engagemii.com/aeo/brands/siftscience
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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