Today, the typical journey with a GEO tool follows almost the same sequence: create an account, enter a batch of prompts, wait several days for data to accumulate, and then see how many times your brand appeared in those prompts.
For people who are actually responsible for a market, this sequence has two problems:
But they need to know much more than that:
Dageno 2.0 reverses that sequence and it calculates the market first. You simply come and see it.
Dageno 2.0, also called Dageno Market Intelligence, is an AI search intelligence platform. Its goal isn't to hand you one more GEO score. It's to show teams how AI actually understands and allocates an entire market, which is why Dageno opened a public market search experience first.
Enter your brand (even one without a website), pick a market, and without logging in or registering you can see a market-level brand overview right away, including:
This layer is free forever. By "free forever," we mean the public search entry point and the brand overview it opens. No login. No registration. Any market can be explored.
When you want to drill deeper into a finding — for example, to inspect the original AI answers and cited pages behind it — or continuously monitor a market using your own prompts, that is where the full Dageno product comes in. You can decide whether you need it at that point.
Traditional prompt monitoring answers questions such as: How many times did a brand appear in a predefined set of questions, and where did it rank?
Dageno 2.0 starts with the market instead. It first defines the market scope, then breaks it down into market segments, search intents, and brand value propositions. It identifies real competitors, differences across platforms and regions, and finally connects those findings back to specific prompts, original AI answers, and cited pages.
Prompts still matter. But in Dageno, a prompt is an evidence unit within a market structure, not an isolated monitoring list.
Dageno has currently built classifications for 12,000 market segments and organizes each market from three perspectives.
This view surfaces differences that an overall score tends to hide.
A brand can have strong overall visibility and still be absent from a critical segment. It can be mentioned often without being tied to the value propositions that actually drive purchase decisions. Or it can appear to be leading against a manually configured competitor list while entirely new competitors are already showing up in real AI answers.
Dageno gives that last case its own dedicated view, the AI Competitor Set, which looks at who AI actually places next to your brand rather than who you configured as a competitor.
AI answers fluctuate over time. If a platform only tells you that "your score dropped" or "a competitor is ahead," but cannot explain where that conclusion came from, it is difficult for a team to act on it.
Dageno 2.0 follows one principle: Aggregated conclusions should never be a black box. The public search experience and the paid product follow the same rule.
Every market-level conclusion can be traced back inside the product to the original AI answers and cited pages that produced it. Dageno does not promise guaranteed recommendations, rankings, or revenue growth. What we provide is evidence with a clearly defined scope — explanations that are transparent, interpretable, and independently reviewable.
Dageno doesn't define cost efficiency as paying less to see more charts. The real cost is that teams end up opening multiple tools to answer one market question: GEO monitoring, SEO data, competitive research, citation analysis, AI shopping, AI ads, and more, then manually piecing the market picture back together from fragmented data.
Dageno 2.0 brings those signals together under one market structure. Each channel keeps its own measurement method, but all of them help answer the same question:
The public market search stays free forever. Teams that need deeper research and ongoing monitoring can choose a plan based on how many brands they manage and how much depth they need, from a single brand for individuals and small teams to plans built for multi-brand teams and agencies. Get the first layer of market intelligence for free, then pay only for the depth you actually need. That's what democratization means at Dageno, and what extreme cost efficiency looks like in practice.
The value of Dageno 2.0 isn't one more AEO or GEO score. It helps teams see market structures that used to be invisible, understand why outcomes happen, and make better-informed decisions about what to do next. You can search any market you care about right now.
Market intelligence becomes more useful once a team can turn a finding into an experiment quickly. After you know which segment to enter, which value proposition is underrepresented, or which market deserves a dedicated test, the next step is execution: building the customer-facing experience and running it efficiently.
Shoplazza's AI Store Builder is built to shorten the distance between an idea and a working cross-border ecommerce store. A merchant can enter a short description, upload a product image, or paste a product or store link, and the tool generates a store in about five minutes. The generated site can include product detail pages, navigation, and add-to-cart flows, with multiple store concepts localized for the target market across language, currency, and visual presentation.
Once the store is generated, merchants can keep editing it and connect it to Shoplazza's commerce infrastructure, including payments, advertising, and logistics tools. For teams using Dageno to spot where an opportunity exists, that creates a practical next step: move from understanding the market to launching a testable storefront.
Launching a store is just the start. Shoplazza's AI store assistant Athena works as a built-in AI assistant for ecommerce, running 24/7 directly in the backend rather than as a standalone chat tool. Merchants can describe a goal in plain language and let Athena organize and carry out the tasks it takes to get there, including:
👉 Learn more: Why Is My Store Losing Orders, Customers, and Sales Opportunities? Athena Skills Tell
Athena pauses for confirmation whenever merchant judgment is required, so key actions get previewed before they run. Paired with Dageno, this creates a tighter loop: Dageno flags where a market gap or an underrepresented value proposition sits, and Athena can act on that signal directly, adjusting product positioning, launching a discount, or pulling the sales data to check whether a change is working, without switching between separate tools for insight and execution.
Together, Dageno and Shoplazza shorten the loop between evidence and action. Dageno shows teams how AI sees the market and where the gaps sit, while Shoplazza's AI Store Builder and Athena turn a chosen opportunity into a live store and a working operating routine. The value isn't a single AI score or a single automated task. It's cutting the distance between understanding a market, acting on it, and starting the next learning cycle. The Dageno 2.0 public market search and open data layer will remain free forever.
No. The public search and the brand overview it opens require no login or registration for any market, and that layer stays free forever. You only need a paid plan if you want to inspect the original AI answers behind a finding or monitor a market continuously with your own prompts.
Shoplazza's AI Store Builder can generate a working cross-border store from a short description, a product image, or a product link in about five minutes, and Athena then helps run day-to-day operations, so a team can move from spotting a gap to testing a live storefront without a long buildout.
Traditional tools track how often a brand appears in a fixed list of prompts. Dageno starts from the market itself, breaking it into segments, search intents, and value propositions, then connects those findings back to specific prompts and cited pages, so a prompt is evidence within a larger structure rather than a standalone monitoring item.
Yes, through the AI Competitor Set. Instead of relying on a manually configured competitor list, it shows which brands AI actually places alongside yours in real answers, which often surfaces competitors a team hasn't been tracking.
Dageno's data layer collects answers from 10 AI platforms daily across 12,000 market segments, and the public search draws on the same infrastructure and data as the paid product rather than a separate, simplified dataset.