Dageno AI’s latest update delivers a major Agent system upgrade, stronger knowledge base and resource management, the new Audit Agent, and a smoother multitasking experience.

Updated by
Updated on May 30, 2026
Last week, we launched the multi-task board and MCP, enabling GEO work to be executed in batches and called by any system.
But very soon, new feedback came in:
The multi-task board is very useful, but when I use Agent for analysis, I still can only do one thing at a time. Can it be like the board, where I can open several Agent sessions at the same time without waiting for one to finish before starting the next?
Every time I talk to Agent, I have to introduce the brand positioning, core keywords, and target markets all over again. Our brand information does not change every day. Can Agent remember this background so I do not have to start from scratch every time?
The Diagnosis Center tells me that the website’s technical foundation is 75 points, so I know there is a problem. But I still have to check by myself which security header is missing, which Schema field is absent, and which Core Web Vitals metric does not meet the standard. Can it directly tell me where the problem is and how to fix it?
These pieces of feedback point to the same essence: often, it is not that we do not know what to do, but that too much time and attention are lost on trivial steps such as “repeatedly entering information,” “waiting for tasks to finish,” and “checking documentation to find problems.”
This is the starting point of this Dageno AI update. We solve these problems from three directions:
interaction experience optimization, knowledge base & resource management, and the launch of Audit Agent.
Previously, the Agent interface could only focus on one task at a time.
Now you can: freely switch between multiple tasks, without interrupting sessions
Open multiple Agent sessions at the same time
Each session maintains independent context and progress
Quickly switch between different tasks without worrying about losing the current work
Tasks continue running in the background, and results are ready when you switch back

Put the article folder at the top
Put the diagnosis result report at the bottom
Adjust size and position at any time to fit your working habits

You are using Diagnosis Agent to analyze SEO issues on the main site, while also wanting to use GEO Agent to check the brand’s visibility performance on ChatGPT. Now you do not need to wait for the first task to finish. You can directly open a second session, and the two tasks run in parallel. When you need to compare results, place the two panels side by side, and everything is clear at a glance.
Every time you talk to Agent, you have to re-enter brand information, paste reference documents, and explain business background. This repetitive work can now be completely eliminated:
Upload documents with one click and automatically fill in context
Add resource folders and manage reference materials in batches
Fill the brand knowledge base, and Agent automatically remembers your brand


When using GEO Agent for analysis, there is no need to explain, “We are an AI productivity tool, mainly serving brands expanding overseas, and our core competitors are X, Y, Z…”
Now this information is already in the knowledge base. Agent directly knows your brand background, and the conversation starts from the analysis itself, without repetitive setup.
The Diagnosis Center can tell you the SEO health score of a website, but many teams have given feedback: “Knowing there is a problem is only the first step. It still takes a lot of time to check exactly where the problem is, why it is a problem, and how to fix it.”
Audit Agent is built to solve this problem:
HTTPS & security configuration: check SSL certificates, TLS protocols, and security headers (HSTS, CSP, X-Content-Type-Options)
Mobile adaptation: Touch Targets size, viewport configuration, responsive layout
Crawler accessibility: robots.txt configuration, Blocked Resources, Sitemap status
Basic page elements: Title length, Meta Description, Canonical tags
Core Web Vitals: LCP (Largest Contentful Paint), INP (interaction response time), CLS (layout stability)
Resource optimization: Render-Blocking Resources, Cache Policy, DOM Size
Loading speed: first-screen time, resource loading bottlenecks
Schema completeness: Organization Schema, Product Schema, FAQ Schema
Brand consistency: whether entity names in Title, H1, and Schema are consistent
Required fields: whether required Schema fields are complete and whether the format is correct
Security header configuration: Permissions-Policy, Referrer-Policy, X-Frame-Options
Privacy protection: Cookie policy, third-party script audit
GDPR compliance: privacy statement, user consent mechanism
Before the website is officially released, run a complete check with Audit Agent to ensure:
All security headers are configured correctly
Core Web Vitals meet the standard
Schema is complete and correctly formatted
Mobile experience meets the standard
Website traffic has declined, and you suspect a technical problem. Use Audit Agent to quickly locate:
Whether any pages have been mistakenly blocked by robots.txt
Whether Canonical tags are configured incorrectly
Whether a large number of Render-Blocking Resources are affecting loading speed
You want to know what competitors are doing right at the technical level. Use Audit Agent to analyze competitor websites:
Which fields their Schema configures
How their Core Web Vitals perform
Which security configurations are worth learning from
Interaction optimization: log in to the Dageno backend and click the Agent interface
Audit Agent: select “Audit Agent” from the Agent list and enter the website URL to be checked


Updated by
Tim
Tim is the co-founder of Dageno and a serial AI SaaS entrepreneur, focused on data-driven growth systems. He has led multiple AI SaaS products from early concept to production, with hands-on experience across product strategy, data pipelines, and AI-powered search optimization. At Dageno, Tim works on building practical GEO and AI visibility solutions that help brands understand how generative models retrieve, rank, and cite information across modern search and discovery platforms.

Tim • May 19, 2026

Tim • Apr 30, 2026

Tim • Apr 14, 2026

Tim • May 19, 2026