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AI Visibility Scorecard

Sift

Sift

Unclaimed

siftscience.com · internet

Somewhat visible. AI bots can read Sift, but it is missing the structured signals that push citation rate above competitors.

Monitoring for AI engine activity

In the Engagemii AEO index

#46,938 of 2,808,083 in Technology for AI visibility

6.8

/10

AEO Score

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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 6.8 out of 10, readable in places, missing in others.

Almost none of the machinery AI engines read is present, including structured data describing the business, an llms.txt file, a sitemap.

Industry · internet
Last scored · Jul 30, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

9

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

9

Clear headings and answer-style content.

Entity Clarity

7

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

3

Experience, Expertise, Authority, Trust markers.

Technical AEO

7

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

9

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

10

Inbound links from other sites.

Domain Trust

4

Established authority for your domain.

Entity Presence

0

Not in AI knowledge graphs yet.

News Mentions

0

No press coverage found yet.

Community

8

Forum and community discussion.

Reddit

0

No Reddit mentions 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 6.8/10, 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

Which AI engines already crawl you

Weekly ChatGPT & Claude citation tracking

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Picked for Sift: Tech & Electronics

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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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