Averi AI

Brand Core is the layer everything else runs on. You connect your domain and Averi scrapes your site to pull products, positioning, and voice in minutes, then you add ICPs, competitors, and brand negatives. That context persists across every draft, recommendation, and score, so you stop re-explaining your brand to each new session. Averi says the setup usually takes under 30 minutes, and that the library gets sharper as you publish.

The Strategy Map is where topics come from. Instead of a blank calendar, each suggested topic arrives with a competitive gap analysis, a search intent, and keyword targets already mapped, plus a broader growth roadmap. You work from a ranked queue rather than guessing what to write next. That is the difference Averi draws between a content engine and a to-do list: the planning step runs on research, not on whatever you thought of in the shower.

Drafting turns a chosen topic into a piece written in your voice. Every draft carries SEO, GEO, and AEO scoring, built in internal linking, and optimized LinkedIn variants for the same idea. You review, refine, and publish rather than starting from a blank page, and the Brand Core keeps the copy aimed at the ICP you actually sell to. The platform frames this as review at every step that matters, not full autopilot.

Publishing closes the loop between draft and live page. Native CMS integrations and webhooks let Averi push a finished piece to your site or schedule it for later, so the copy out, paste into editor, paste into CMS routine goes away. Auto publish and scheduling fit a team that wants content to keep flowing while everyone focuses on the product.

Analytics ties output to results. You can see publishing cadence performance next to site traffic, page, and query performance, which shows which pieces earned visits and which did not. An Averi Pixel feature for advanced analytics is in beta. Because drafts are scored before publishing, the strategy also shifts as the data comes back, so the map you started with is not the one you finish with.

The platform runs an AI discoverability audit and a sitemap, schema, and indexing health check, so you catch technical problems that quietly hold content back. That matters more now that AI answer engines read structured data as well as copy. For teams whose pages rank in Google but never surface in AI answers, this is the part that finds the missing schema or an indexing gap.