AI Visibility Report

filepicker.io

A99/100

Scanned on 27/09/2026 · 25 pages analyzed

How it compares

filepicker.io scores 99/100 — above the SaaS & software average of 79.4/100 (133 sites) in the AI Readiness Index 2026, against 57/100 across all 1,831 sites measured.

AI Readiness Index 2026 →AI visibility for SaaS & software →

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Check breakdown

AI bot access (robots.txt)OK
- 13/13 known AI bots are allowed by robots.txt.
llms.txt presence and qualityOK
- /llms.txt found (8630 characters).
- Has an H1 title, as the llms.txt convention requires.
- Has 12 sections (markdown headings).
- Contains 62 markdown links to site resources.
Structured data (Schema.org JSON-LD)OK
- 2 JSON-LD blocks found (2 valid, 0 with parse errors).
- Types found: WebPage, ImageObject, BreadcrumbList, WebSite, Organization, FAQPage.
Meta title/description and Open GraphOK
- <title> present with a good length (47 characters).
- meta description present with a good length (145 characters).
- og:title present.
- og:description present.
- og:image present.
XML sitemapOK
- Sitemap reachable with 341 URLs.
- Declared correctly in robots.txt.
Content freshness (sitemap lastmod)OK
- 341 URLs with a valid <lastmod>; the most recent is 3 days old.
Content structure (answer-first)OK
- The content answers the main question in the first paragraphs.
- Main value proposition and core definition are presented immediately in the hero section.
- Includes an explicit FAQ section addressing direct questions clearly and concisely.
- Features are structured under clear, descriptive headings (Upload, Transform, Deliver).
- Text is concise and fact-dense, avoiding excessive fluff before providing information.
Brand identity consistencyOK
- Brand name and description are consistent across the analyzed pages.

What AI crawlers actually get

Measured daily by the Agent Web Index, independently of this scan: not whether the site is optimised, but whether each crawler is served the page or turned away.

8 of 10 crawlers are served the pageIndex score 98/100 (A+)

GPTBot (ChatGPT)served · 200
OAI-SearchBotserved · 200
ClaudeBotserved · 200
PerplexityBotserved · 200
Google-Extendedblocked
meta-externalagentserved · 200
amazonbotserved · 200
bytespiderserved · 200
applebotserved · 200
applebot-extendedblocked

Index last measured: 2026-09-23

Could an AI agent buy from you?

A live purchase chain run against this shop right now: an agent has to find the product, read the price as data and know your shipping and return terms — it breaks at the first missing link.

2 of 7 links holdPurchase chain 53/100 (D)

The chain breaks at: State the price as data.

Find a product to buyok
Read the catalogue by machinepartial
No machine-readable catalogue found. Agents must parse pages one at a time, which is slower, lossier and easier to get wrong.
Open the product page as an agentok
State the price as databroken
No Product or Offer structured data on the product page at all. Every fact — what it is, what it costs, whether it is in stock — has to be guessed.
Identify the item unambiguouslypartial
No SKU, GTIN or MPN declared. An agent comparing your listing with the same item elsewhere cannot prove it is the same item, so you lose comparison shopping by default.
Publish shipping and returns as databroken
Neither shipping nor return terms are machine-readable. These are exactly the two facts a buying agent must confirm before it commits money, and it will prefer a merchant that states them.
Declare an agent-facing interfacebroken
Nothing tells an agent how to transact with you: no agents.json, no plugin descriptor, no open cart endpoint. Every purchase has to be simulated through the UI, which is exactly where agents fail.

Measured on the product page: https://filepicker.io/products/file-upload/

Get the ready-to-paste fixes — €9

Inside: llms.txt, Organization/WebSite JSON-LD, a robots.txt that allows AI bots and title/description suggestions — generated from this scan, ready to paste.

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