Frequently asked questions
Answers about the AI-agent content marketing system, integrations, billing, and delivery process.
This page answers the most common questions we hear from operators evaluating a production-grade AI-agent content marketing system.
What do you actually deliver?
We deliver SEO, AEO, and GEO-optimized markdown content systems, not just isolated articles.
Deliverables can include service pages, blog content, documentation content, entity pages, FAQs, and structured editorial updates.
How do you publish content?
Clients can publish through connected CMS adapters or receive markdown deliveries through GitHub repositories.
We support dry runs and logged delivery history so teams can review output before publication.
Can you detect whether our repository uses Cursor, Lovable, Codex, or Claude Code?
Yes. When a GitHub markdown integration is connected or tested, the platform inspects repository-level files for common AI coding workspace signals such as .cursor/, .lovable/, AGENTS.md, and CLAUDE.md.
The dashboard shows the detected tool, confidence level, evidence, and the recommended Lymwave MCP setup steps.
How do we integrate the MCP server?
Connect the GitHub repository, confirm the published content path and draft path, then open the integrations dashboard.
Cursor, Codex, and Claude Code users can add the Lymwave MCP server in the tool's MCP settings with the workspace server URL and token. Lovable teams should keep GitHub as the source of truth and add the MCP server wherever workspace agent integrations are available.
How do you measure impact?
We use Search Console and URL inspection as the primary Google feedback loop for normal website content, then combine that with our internal scoring model for SEO, AEO, and GEO health.
Why do clients trust the workflow?
Because the workflow is inspectable.
Clients can review connected integrations, delivery history, monitoring jobs, alerts, and score snapshots instead of relying on status updates alone.
Can you work with our in-house team?
Yes. The platform is designed for hybrid operating models where your editorial, SEO, product marketing, or documentation teams collaborate with us and retain visibility into content, scoring, and delivery history.