riskified.com llms.txt
In short
riskified.com serves a 117 KB llms.txt with 396 links. The crawl kept and parsed the first 60 KB of it, which holds 7 H2 sections, graded C on the llmstxt.org structure (4 of 6 checks). It lacks a blockquote summary and a size under 100 KB. Whether the home page links it was not tested. No llms-full.txt was found.
llms.txt parsed the first 60 KB of a 117 KB file
Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website.
# Riskified
## Sitemaps
- [XML Sitemap](https://www.riskified.com/sitemap_index.xml): Includes all crawlable and indexable pages.
## Posts
- [One platform to resolve identity and intent in real time](https://www.riskified.com/blog/what-is-risk-intelligence/): As AI and the new age of delegated commerce place increasing demands on businesses to mitigate new risk vectors, Riskified’s new Risk Intelligence Platform provides intelligence in motion to […] teams against a rapidly changing landscape.
- [From cart to card: what shoppers expect from agentic commerce?](https://www.riskified.com/blog/agentic-commerce-pulse-consumer-survey-november-2026/): In Riskified’s September 2026 Agentic Commerce Pulse survey, 57 percent of 5,100 consumers across five markets said they’d let AI compare products or prices for their holiday shopping. Just seven percent would let it buy gifts without asking first.
- [Why every payments team should be watching for ACH fraud](https://www.riskified.com/blog/ach-fraud-digital-goods/): ACH fraud is not new. Across the forums, marketplaces, and guides Riskified reviewed on the dark web, ACH fraud appears to be a mature, established market rather than an emerging one. Fraudster forums describe active marketplaces, and participants share detailed playbooks around ACH fraud.
- [What is triangulation fraud? A guide for airlines, hotels, and OTAs](https://www.riskified.com/blog/triangulation-fraud-travel/): Riskified’s most recent analysis of the travel fraud landscape underscores its evolution beyond stolen-card transactions. One threat that has emerged over the past few years is triangulation fraud, a scheme that can leave travelers with a legitimate-looking reservation while shifting the financial risk to the airline, hotel or other travel provider.
- [Meet ARIA: instant answers from your order data](https://www.riskified.com/blog/explainable-ai-fraud-detection/): A decline pattern shows up in a segment you weren't watching. You have a question, and you need an answer, now. Today, that usually means exporting a file, building a pivot table, or looping in your account manager to help pull the data together. All of that works, but none of it is instant. ARIA, Riskified’s new AI Risk Intelligence Analyst, gives your team a direct way to explore fraud and performance data the moment a question comes up.
- [New Riskified data shows shifts in travel fraud in 2026](https://www.riskified.com/blog/2026-travel-fraud-trends/): Across the dark web, scammers are turning up the volume on travel fraud. Riskified analysts have seen increased activity and attention, along with refined, sophisticated tactics merchants need to watch.
- [What Nacha’s amended rules mean for your ACH fraud monitoring](https://www.riskified.com/blog/nacha-ach-fraud-monitoring-rules-2026/): ACH's low fees and broad coverage make it an attractive target: the same economics that benefit legitimate merchants also appeal to fraudsters looking to exploit the settlement lag.
- [What return behavior looks like around the world](https://www.riskified.com/blog/ecommerce-return-fraud-by-region/): Beyond volume, the report asked consumers what kinds of return behavior they consider reasonable. The answers differ sharply by market.
- [Freddy or fraud? What one fan teaches us about ecommerce risk during the World Cup](https://www.riskified.com/blog/freddy-or-fraud-world-cup-2026/): As the 2026 FIFA World Cup unfolds across North America, one of the tournament's biggest viral stars isn't a player[…]it's Freddy, a German fan whose trip across North America has captivated millions online. Spanning flights and hotels, sporting events, restaurants, attractions, and rideshares, Freddy's journey offers some useful lessons for ticketing and travel merchants. It demonstrates how event travelers buy across an ecosystem and how legitimate World Cup behavior can look risky (and vice versa).
- [The new returns reality](https://www.riskified.com/blog/ai-assisted-return-claims/): As with most industries, AI is changing a lot about ecommerce […] including how some consumers handle returns. That's one of the more striking findings from Riskified's 2026 report, “Rewriting the rules on returns,” which surveyed 2,091 consumers across seven markets and interviewed ten senior retail leaders at brands with revenues between $250 million and $10 billion.
- [The growth paradox: Why Riskified is the definitive fraud partner for Shopify Plus in 2026](https://www.riskified.com/blog/best-guaranteed-fraud-protection-for-shopify/): For high-growth Shopify Plus merchants, scaling toward the enterprise tier creates a fundamental tension: as transaction volumes rise, the margin for error shrinks. In 2026, fraud prevention is no longer a back-office function.
- [Agentic commerce: harness it, don’t outsource it](https://www.riskified.com/blog/agentic-commerce-risk-intelligence/): The truth is, most agentic commerce deployments have the AI part figured out. The agent can hold a conversation, it can take action. What it can't do on its own is know who it's actually talking to. That's the missing layer […] and it's the one that matters most.
First 20 of 178 lines. 4 spans shown as […] because the words or characters in them are rejected by this site's own style rules; the live file has them.
Parse graded C, 4 of 6
file: https://riskified.com/llms.txt
Riskified
No blockquote summary.
7 sections, 396 links, no Optional section.
Ora's cached score: 52, grade C, scanned 1 November 2026.
The parse
The crawl recorded 396 links in the whole 117 KB file but kept only its first 60 KB, which is what is parsed here. In that part, 160 links appear: 160 point at riskified.com or a relative path, 0 point elsewhere. The hosts it links most: riskified.com (160).
| H2 section | Links |
|---|---|
| Sitemaps | 1 |
| Posts | 50 |
| Pages | 22 |
| Articles | 50 |
| Briefings | 3 |
| Case Studies | 20 |
| Events | 14 |
Grade against the llmstxt.org structure
The file passes 4 of 6 checks and fails 2: has a blockquote summary under the h1; under 100 kb. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the llms.txt reference.
| Check | Result | Detail |
|---|---|---|
| Starts with an H1 naming the site or project | Pass | H1: Riskified |
| Has a blockquote summary under the H1 | Fail | No blockquote summary before the first H2. |
| Has at least one H2 section that lists links | Pass | 7 H2 sections, 7 with links. |
| At least 80 percent of links point at the same site | Pass | 160 of 160 links stay on riskified.com (100 percent). |
| Under 100 KB | Fail | 119808 bytes as served. |
| Plain markdown, no HTML | Pass | No HTML document markers in the body. |
Ora's cached score
Ora's cached report for riskified.com gives it 52 of 100, grade C, scanned on 1 November 2026. Its Access layer, which holds the read-layer checks below, scored 16 of 56 check points. Read from GET ora.ai/api/score/riskified.com on 5 November 2026. The score is Ora's, not this site's, and the structure grade above is a different measure: it grades the llms.txt file against the llmstxt.org proposal, while Ora's score covers the whole site. Ora's report for riskified.com has every layer.
| Ora check (Access layer) | Result | Points |
|---|---|---|
| Sitemap exists | Fail | 0 of 2 |
| Content without JavaScript | Partial | 0 of 3 |
| Not blocked by bot detection | Partial | 0 of 2 |
| Markdown URL fallback | Fail | 0 of 2 |
| llms.txt exists | Pass | 1 of 1 |
| llms.txt formatting | Partial | 1 of 2 |
| JSON-LD structured data | Fail | 0 of 4 |
| Metadata completeness | Partial | 1 of 2 |
| llms.txt links resolve | Fail | 0 of 2 |
| Markdown alternate link | Not applicable | 0 of 1 |
| Redirect hygiene | Pass | 1 of 1 |
| Page token budget | Not applicable | 0 of 1 |
| Code fence validity | Pass | 1 of 1 |
| Content behind auth | Not applicable | 0 of 2 |
| OpenAPI spec published | Fail | 0 of 7 |
| Markdown agent docs | Fail | 0 of 1 |
| Markdown negotiation with Vary | Fail | 0 of 1 |
| Markdown for agent user agents | Not applicable | 0 of 1 |
| Agent crawler reachability | Partial | 0 of 2 |
Linking and the companion file
The crawl did not read this home page, so the link was not tested. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. No llms-full.txt was found at the same root.
How it compares
At 117 KB the file is larger than 95 percent of the 2,529 plain-text llms.txt files in this edition, and its 396 links put it ahead of 94 percent of them on link count. The home page declares no generator. Size bucket: 100 KB and over. Tranco rank 2,736. Category: Top 10,000, no category.
Live file: https://riskified.com/llms.txt. Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date.
Sources
- riskified.com llms.txt https://riskified.com/llms.txt, read 4 November 2026
- llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
- Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
- Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
- Ora llms.txt (GET /api/score/{domain} looks up a cached score) https://ora.ai/llms.txt, read 5 November 2026
Last reviewed 5 November 2026