Master Dageno AI with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Start a free trial on the Dageno website to explore the platform and evaluate which tier fits your needs, or book a demo for a guided walkthrough Set up your account and integrate existing analytics platforms (Google Analytics 4, Cloudflare, etc.) to establish baseline visibility metrics Configure your first project by selecting 3 AI platforms to monitor and defining your initial set of prompts/queries to track Deploy the AI Marketing Agents suite starting with the Opportunity Analyst Agent to identify immediate optimization opportunities Establish regular reporting cadence (daily/weekly/monthly) and begin transitioning content strategy from traditional SEO to AEO optimization
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Explore the key features that make Dageno AI powerful for sales & marketing agents workflows.
Provides full-dimension AI visibility tracking across Google and generative answer engines, including brand ranking, citation monitoring, share-of-voice analysis, and real-time competitor sentiment tracking. The proprietary BotSight module detects AI crawlers hitting your site, revealing which models are actively indexing your content, how frequently they visit, which pages they prioritize, and any changes in their crawling patterns over time. This unique intelligence allows marketing teams to understand not just where they appear in AI responses but also which AI platforms are most actively consuming their content, enabling data-driven decisions about where to focus optimization efforts.
Moves beyond traditional keyword research by analyzing real user prompts submitted to AI engines. Identifies Prompt Gaps where competitors win AI citations, then uses Query Fan-out to expand each gap into long-tail prompt variations that reveal the full conversational query landscape around a topic. Also includes social media and trend sniffing to surface emerging topics before they become competitive, giving brands a first-mover advantage in creating content that AI engines will reference. The module produces actionable content briefs with specific prompt targets, recommended content structures, and competitive context for each identified opportunity.
Allows brands to create a structured Brand Kit containing verified facts, entity relationships, audience segments, and digital assets that AI models can reference. Includes hallucination correction tools that monitor AI-generated responses for inaccuracies and provide mechanisms to feed corrected information back into the ecosystem. By maintaining a canonical source of truth about the brand, this module helps ensure that when AI assistants discuss your products or services, they draw from accurate, up-to-date information rather than outdated or fabricated details that could mislead potential customers.
Generates and audits content optimized for both traditional Google rankings and AI assistant recommendations simultaneously. Includes page-level GEO content auditing, high-volume prompt interception for programmatic content generation, and SEO/GEO fusion copywriting that ensures a single content asset performs across both search paradigms without requiring separate pieces for each channel. The module analyzes content structure, entity coverage, citation-worthiness signals, and conversational relevance to produce material that satisfies both algorithmic ranking factors and the contextual needs of generative AI models selecting sources to reference.
Replaces manual data analysis with AI-generated strategic roadmaps and daily or weekly opportunity insight alerts. Provides end-to-end task automation from issue detection through execution, including automated workflows that can act on opportunities without requiring analyst intervention for routine optimizations. The Strategy Agent synthesizes signals from all other modules into prioritized action plans, identifies the highest-impact opportunities based on competitive gaps and brand objectives, and can trigger content creation, monitoring adjustments, and reporting workflows autonomously to keep optimization efforts moving continuously.
Traditional SEO optimizes web pages to rank in Google's organic blue links by targeting keywords, building backlinks, and improving technical site health. Answer Engine Optimization (AEO) optimizes your brand's visibility inside AI-generated responses from platforms like ChatGPT, Perplexity, and Google AI Overviews. The distinction matters because AI-powered search increasingly delivers synthesized answers rather than lists of links, meaning brands that only optimize for traditional rankings may be invisible in the growing share of queries resolved by AI assistants. AEO requires different signals — entity authority, citation-worthiness, conversational relevance, and structured data — that traditional SEO tools are not designed to measure or optimize. Dageno bridges this gap by providing purpose-built AEO tracking and optimization alongside awareness of how traditional SEO and GEO signals interact.
BotSight is Dageno's proprietary AI crawler detection module that identifies when and how AI platforms crawl your website. It monitors server-side signals to detect crawlers from ChatGPT, Perplexity, Google AI, and other generative engines, then reports crawl frequency, pages visited, and any changes in crawler behavior over time. This intelligence helps marketing teams understand which AI platforms are actively consuming their content, how often they return for updates, and which sections of the site receive the most AI crawler attention. By correlating crawl activity with visibility changes in AI responses, teams can identify whether content updates are being picked up by specific models and prioritize optimization efforts toward the platforms most actively indexing their site.
Prompt Gaps are user queries where AI engines cite or recommend your competitors but not your brand. Dageno's Intent Insights module identifies these gaps by analyzing real prompts submitted to AI engines and comparing the citations and recommendations generated in responses. Once a gap is identified, the Query Fan-out feature expands it into dozens of related long-tail prompt variations, revealing the full scope of conversational queries where your brand is absent. The module then produces actionable content briefs with specific prompt targets, recommended content structures, and competitive context, enabling your team to create content specifically designed to earn AI citations for those queries.
Dageno's platform has two layers: five core modules that define the AEO workflow stages (Visibility Monitor, Intent Insights, Brand Entity, Content Engine, and Strategy Agent), and six specialized AI Marketing Agents (Opportunity Analyst, Content Creator, Competitive Monitor, Hallucination Corrector, Strategic Planner, and Workflow Executor) that automate tasks across those modules. The modules provide the data infrastructure, dashboards, and workflow logic, while the agents act as autonomous workers that execute specific tasks within and across modules. For example, the Competitive Monitor Agent operates primarily within the Visibility Monitor module but also feeds insights to the Strategy Agent module, and the Content Creator Agent draws from Intent Insights data to produce optimized content within the Content Engine module.
Dageno offers three pricing tiers: Starter at $149/month, Professional at $399/month, and Enterprise with custom pricing. All plans begin with a free visibility report and 7-day trial so teams can evaluate the platform before committing. The Starter plan includes core visibility monitoring and basic agent access, the Professional plan unlocks all six AI Marketing Agents and advanced features like full Prompt Gap analysis and automated workflows, and the Enterprise plan adds SOC 2 compliance, SSO, multi-brand tracking, and dedicated support. Book a demo on the Dageno website for Enterprise pricing details.
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Tutorial updated March 2026