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Agentic 10-K

CIMPRESS plcCMPR

AI agent disclosures in SEC filings

As of 2026-08-07, CIMPRESS plc (CMPR) disclosed AI-agent language in 1 SEC filing since 2026-08-07 (source: Agentic 10-K, from SEC EDGAR).

Market cap
$1.9BYahoo Finance, 2026-10-21
First seen
2026-08-07
Latest filing
2026-08-07

Matching filings by quarter

012Q1 '25Q2Q3Q4Q1 '26Q21Q3Q4*
Filings* Quarter in progress

What the filings cover

Functions named

None identified

Vendors and products named

None named

Source

1 filing since 2025-01-01. All EDGAR filings (opens in a new tab)

Stage and function are keyword-rule labels, not the company’s words.

In its own words

Sentences copied from the filings, whitespace normalised.

“Shifts in online search behavior, including the rise of generative and agentic AI tools and technologies, may negatively impact customer traffic and acquisition efficiency and conversion rates, which could materially harm our business, results of operations, and financial condition.”

10-KFiled 2026-08-07Source on sec.gov (opens in a new tab)Filing index (opens in a new tab)

“Consumers are increasingly relying on generative and agentic AI tools and technologies, such as conversational search engines, autonomous shopping assistants, and AI-powered product recommendations, to discover, compare, and purchase products and services.”

10-KFiled 2026-08-07Source on sec.gov (opens in a new tab)Filing index (opens in a new tab)

All matching filings

10-K filed 2026-08-07 Filing index (opens in a new tab)

10-KFiled 2026-08-07

CIMPRESS warns that shifts to generative and agentic AI tools may reduce customer traffic and harm business.

“Shifts in online search behavior, including the rise of generative and agentic AI tools and technologies, may negatively impact customer traffic and acquisition efficiency and conversion rates, which could materially harm our business, results of operations, and financial condition.”

10-KFiled 2026-08-07

CIMPRESS warns that rising use of generative and agentic AI tools may reduce its customer traffic and brand control.

“Consumers are increasingly relying on generative and agentic AI tools and technologies, such as conversational search engines, autonomous shopping assistants, and AI-powered product recommendations, to discover, compare, and purchase products and services. These tools and technologies represent a shift away from traditional search engine behavior and direct website visits, which have historically driven a significant portion of our customer traffic and conversion activity. As these tools and technologies become more prevalent and integrated into consumers’ browsing and purchasing workflows, we may experience a decline in visibility within digital ecosystems we do not directly control. This could include, among other things, lower rankings in AI-generated product summaries, reduced referral traffic from major platforms, or increased reliance on third-party interfaces that prioritize competing offerings. These changes could adversely affect our customer acquisition cost, conversion rates, and overall brand control. Furthermore, our ability to adapt to new search paradigms may be limited by technology constraints, data availability, or platform interoperability, especially if generative and agentic AI search providers restrict access to their ecosystems or favor end-to-end platforms that control the full customer journey. Failure to effectively navigate this shift could materially harm our business, results of operations, and financial condition.”