⚡ This is your brand? Claim your page FREE and bring it to life on AI search.
AI Visibility Scorecard
docket.io · Technology
Somewhat visible. AI bots can read Docket, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 4 times
Claude · Apple Intelligence
#216,118 of 2,624,033 in Technology for AI visibility
6
/10
AEO Score
from our crawl and measurement
"Docket's AI Marketing Agent engages B2B website visitors 24/7, answers product questions from verified knowledge, qualifies intent, and books meetings into your CRM." That is how Docket of Palo Alto, CA introduces itself. Its AI visibility score is 6.0 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, SoftwareApplication, FAQPage), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 4 times in our tracking, including ClaudeBot (Anthropic) and Applebot (Siri).
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
8
Clear headings and answer-style content.
Entity Clarity
6
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
5
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
8
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
5
Inbound links from other sites.
Domain Trust
3
Established authority for your domain.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions 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 6/10, Docket has a working base to build on - fixable, and the signals above are where to start.
How quickly can we get Docket live on our website?
Docket takes 5–10 minutes to create and is typically fully deployed within 7–14 days. Docket’s Customer Success team handles the implementation, you don’t need engineering resources to get started. After configuration, we’ll train Docket on your product, CRM data, and conversation playbooks.
What data sources does Docket learn from?
Docket’s knowledge comes from Docket’s Sales Knowledge Lake™ , a unified knowledge architecture that ingests data from 50+ sources including your CRM (Salesforce, HubSpot), Gong call recordings, Slack, Google Drive, Notion, SharePoint, and your product documentation. The more sources you connect, the smarter it gets.
Do I need a developer to implement Docket?
No. Adding Docket to your website requires a simple JavaScript snippet, similar to adding Google Analytics. Our CS team walks you through the setup process, and most deployments are complete within 2 weeks with no engineering resources required.
What’s an Agent Qualified Lead (AQL)?
An AQL is a lead that has been qualified through a real-time, substantive conversation with Docket, one that demonstrates genuine buying intent and readiness for a sales conversation. Unlike an MQL, which is scored on arbitrary behavioral signals (page views, email opens, form fills), an AQL represents someone who has actually engaged in dialogue, answered qualification questions, and been matched against your ICP criteria.We believe the AQL is the future of B2B lead qualification. The MQL is a broken construct that has persisted because nothing better existed. Docket changes that.
What happens when Docket doesn’t know the answer?
Docket will transparently say it doesn’t know and offer to connect the visitor with a human. This is by design, in enterprise sales contexts, hallucinated or inaccurate answers destroy trust. We’d rather Docket say “let me get you a human” than make something up. This honesty is a core part of what makes Docket different from generic AI chatbots.
Does Docket work for voice conversations as well as text?
Yes. Docket supports both voice and text conversations. Voice is particularly effective for high-intent visitors who are deep in evaluation, the experience feels more like a call with an SDR than a chat with a bot.
How does Docket handle returning visitors?
Based on outcomes across our customer base, companies deploying Docket see: a 15% average lift in qualified pipeline, a 12% increase in win rate, and a 10% reduction in sales cycle length. Docket achieves an average engagement rate of approximately 2.4% of website visitors (top performers reach 6%), with an 8% conversion rate for engaged visitors
How does Docket price its product?
Pricing is all-inclusive and covers implementation, unlimited conversations, unlimited data source connections, and CS support. Plans start at $36,000/year.
Is this your brand?
The exact fixes for Docket
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech buyers are the most research-intensive shoppers on the internet.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for Docket.
Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/docket-io
Cite this score: Engagemii (2026). "AEO Score for Docket." Retrieved from https://engagemii.com/aeo/brands/docket-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
Powered by Engagemii - The Answer Engine Optimization (AEO) Platform