Knowing a brand was absent from an answer tells you nothing actionable. Knowing the assistant expanded the prompt into six sub-queries, and which sources it cited for each, tells you what to write. Dageno exposes that alongside batch prompt management, which matters because tracking is only useful at scale — creating prompts one at a time is how monitoring programmes die. The three opportunity tools are the output side: content, backlinks and communities, derived from where the citations went instead.
Dageno's endpoint, which listed 18 tools to our probe under the name dagenoai-mcp. It sits between classic SEO data and AI-answer tracking: search volume and traffic on one side, prompts and citations on the other.
- get_keyword_volume and get_seo_traffic — search demand, and aggregate traffic with top keywords by domain
- get_topics and get_prompts — what is tracked, filtered by platform, region and date
- batch_create_prompts, batch_update_prompts, batch_delete_prompts, batch_get_prompt_by_ids — manage tracked prompts in bulk
- get_citation_domains and get_citation_urls, plus per-prompt variants — who gets cited, and on which pages
- get_prompt_query_fanout — the expanded queries an assistant actually asked while answering a prompt
- get_content_opportunities, get_backlink_opportunities, get_community_opportunities — gaps to act on
- get_brand_info and get_geo_analysis
An x-api-key header. There is no OAuth.
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