NeuronWriter tells you which terms and entities a page needs to compete; Agility Writer writes the article. The integration connects the two so the recommendations flow into generation automatically and the finished draft flows back for scoring, without copy-pasting between tabs.
Here is the whole workflow: requirements, one-time setup, the per-article loop, and how it scales in bulk.
What you need
- A NeuronWriter plan with API access. As of July 2026 that means Gold ($69/month), Platinum ($93), or Diamond ($117); Bronze and Silver don’t include the Neuron API.
- An Agility Writer account. The integration is configured under your account settings.
One-time setup: connect the API
- In NeuronWriter, open your profile settings and generate an API key (the X-API-KEY value).
- Copy your Project ID. The quickest place to find it is the URL when you have the project open.
- In Agility Writer, paste both into the NeuronWriter section of your account settings.
Once connected, Agility Writer can pull recommendations from any query in that project.
The per-article workflow
1. Create the query in NeuronWriter. Run your target keyword as a new content query so NeuronWriter analyzes the SERP and builds its term and entity recommendations.
2. Link it in Agility Writer. When creating the article, enter the NeuronWriter Query ID and click Get Recommendations. Agility Writer pulls the NLP terms, entities (retrieved as part of the keyword set), and title suggestions from that query.
3. Pick the generation mode.
| Feature | 1-Click Mode | Advanced Mode |
|---|---|---|
| Speed | Fastest path to a draft | Slower; you review the outline first |
| Control | AI decides heading structure | You set exact H2s and H3s |
| Best for | Standard posts | Pages where structure carries strategy |
Either mode writes against the pulled recommendations, and word count is informed by what top-ranking pages actually publish.
4. Auto-push the result. Set the integration to push the finished article, title, and meta description straight into NeuronWriter’s content editor when generation completes. This is the step that removes the copy-paste: the draft lands where the score is measured.
5. Score and iterate. Check the content score in NeuronWriter. If it lands short of your target, the gap is usually a handful of unused terms; add them where they fit naturally (Agility Writer’s Optimize Mode can also use NeuronWriter data for optimization-focused generation). Don’t chase the score into unreadability. A high score on robotic text loses to a slightly lower score on a page people finish reading.
Scaling it: bulk mode with NeuronWriter queries
Bulk Advanced Mode accepts a CSV where each row carries its own NeuronWriter query, along with custom outlines, keyword lists, and target word counts. That means a whole cluster generates with each article optimized against its own SERP analysis, not a shared template. If you’re producing clusters from a topical map, this is the production step; the planning step is covered in our topical map guide.
Two practical tips from running this at volume:
- Review pulled recommendations before a big batch. One bad query (wrong intent, wrong language market) multiplied across a cluster is expensive.
- Use the negative-terms option to keep cliché phrases out of the whole batch instead of editing them out per article.
What to do next
If you already have a NeuronWriter project running, the setup above takes about ten minutes: generate the key, paste it into Agility Writer’s settings, and run one article end-to-end before you commit a batch. For the wider production system around this workflow, the Guides Hub covers modes, bulk generation, and optimization in depth.