Marketing · SEO/GEO
From a search gap to a publish-ready article in one sitting.
Results
Weeks from spotted opportunity to published article, cut to one sitting
0 structured data or FAQ schema skipped: every article ships GEO-ready
One workflow from opportunity radar to CMS-ready publish, with no handoffs in between
How the agent gets there
SERP and trend tracking
Semrush, SerpAPI and Wikipedia, pulled continuously: rankings, volumes, rising topics
Scored opportunities
Key dates, rising trends and competitor gaps, ranked by what is worth writing now
Outline you validate, then the draft
Nothing gets written until you sign the plan off, then it streams in, section by section
Published multi-channel, SEO and GEO tuned
Each one shipped with the JSON-LD answer engines need to quote it
LLM citation tracking: whether ChatGPT, Perplexity and Claude quote your page, your site or merely your brand name, and where you land against competitors, feeds straight back into the radar
We will walk through the key features in 8 steps, then you can explore freely.
This is a scripted walkthrough running on static sample data. No live systems, customer data or models are connected.
Briefing
Content teams know roughly where their search opportunities are: seasonal peaks, competitor gaps, rising queries. But the distance between spotting an opportunity and publishing something worth reading is measured in weeks. Briefs get written, handed to a writer, reviewed, reformatted, then finally pasted into the CMS. And ranking on Google is only half the job now: AI answer engines need their own signals (structured data, a clear FAQ, a way to find the page at all), or the best article never gets cited.
The bottleneck is not ideas, it is drafting capacity. Opportunities expire while the queue clears: a seasonal topic identified in March is worthless if the article ships in June. Meanwhile the metadata that actually drives ranking and AI visibility (JSON-LD, FAQ schema, an entry in the site's llms.txt) gets skipped entirely, because almost nobody on a content team is set up to produce it by hand.
A ranked radar of search opportunities, filterable by type and theme
A structured outline generated from the selected opportunity, fully editable
A complete draft article assembled section by section, closing with an auto-generated FAQ
Publish-ready metadata with live character counting, plus JSON-LD and an llms.txt entry for AI answer engines
Weeks
from spotted opportunity to published article, cut to one sitting
Weeks
A seasonal opportunity spotted in March is worthless if the article ships in June. That gap, between spotting it and clearing a writer’s queue, is the usual bottleneck. The agent collapses opportunity, outline and draft into one sitting, so a topic can go from radar to publish-ready before it expires.
0
structured data or FAQ schema skipped: every article ships GEO-ready
0
JSON-LD, FAQ schema and an llms.txt entry are exactly the signals AI answer engines need to find and cite a page, and exactly what gets skipped when a content team is stretched thin. Every article the agent produces ships with that metadata built in, not bolted on afterward.
One workflow
from opportunity radar to CMS-ready publish, with no handoffs in between
One workflow
There is no handoff between a strategist spotting the gap, a writer drafting it, and someone else formatting it for the CMS. One person can carry a topic from the opportunity radar to a publish-ready, SEO- and GEO-optimized article without leaving the tool.
Want this for your team?
Tell us what's eating your team's time and we'll tell you what we'd build.
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