AI Visibility Scorecard
docimprint.com · Technology
Somewhat visible. AI bots can read DocImprint, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 4 times
Claude · Apple Intelligence · ShapBot
#323,776 of 2,707,329 in Technology for AI visibility
70
AI Naming Predictability
iLikely to be named · 70/100
6
AEO Visibility
iBorderline · 5.6/10
65
Muse Index Score
iAI agent readiness
Transactable · 65/100
12
AI Adoption
iBasic · 12/100
from our crawl and measurement
DocImprint describes itself simply: "Verifiable document memory layer for AI agents." Its AI visibility score is 5.6 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (Organization, WebSite, SoftwareApplication), an llms.txt file for AI models and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Good
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
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
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 5.6/10, DocImprint has a working base to build on - fixable, and the signals above are where to start.
What is verifiable document memory?
Verifiable document memory is a persistent, cryptographically auditable layer where AI agents store document captures — not embeddings alone. Each capture includes manifest SHA-256, artifact hashes, Merkle citation proofs (~320 bytes, O(log n)), and free offline verification via GET /v1/keys.
How do AI agents pay for DocImprint without an account?
x402 HTTP 402 micropayments with USDC on Base let agents pay $0.010–$0.075 per call. No signup required — wallet address becomes bundle owner identity for retrieval and legal hold.
What will your agent build?
High-stakes tasks map to one extract surface: contracts, financial filings, research papers, invoices, regulatory docs, and insurance policies.ContractsFinancial filingsResearch papersInvoices & receiptsRegulatory docsInsurance policiesProcess a contractUpload a PDF and get an Evidence Bundle plus BYOS extraction of parties, dates, and governing law.Extract$0.075Verify claims against a filingCheck assertions against.
Is this your brand?
The exact fixes for DocImprint
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/docimprint
Cite this score: Engagemii (2026). "AEO Score for DocImprint." Retrieved from https://engagemii.com/aeo/brands/docimprint
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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