As of the March 11, 2026 weekly sync, AviaryAI's content pipeline has reached two significant milestones: three finalized case studies are ready to publish, and V2 copy for the verticals pages is complete. The next planned phase is gated content (playbooks, reports) designed to serve double duty as SEO assets and conversion events for paid campaigns.
See also: [1] | [2] | [3]
Three case studies have been finalized and are ready to be added to the Webflow archive page. They currently exist as standalone sales collateral. Once published to the archive, updated URLs should be shared with the AviaryAI sales team (Justin Dwyer's request).
Adding the case studies requires modifying the Webflow archive template page, not just adding data entries. Key constraints:
Owner: Sebastian Gant
Dependency: Justin Dwyer to review new member onboarding design and provide comments before Friday.
Sebastian completed a second-pass rewrite of all verticals page copy. The revision:
The V2 copy lives in the shared Google Doc (same document, previous version wiped). Justin Dwyer is asked to add comments directly in the doc.
Owner: Sebastian Gant (copy) / Justin Dwyer (review)
The team identified a gap: Google Ads currently has only one conversion action (Schedule a Demo click), which is insufficient to switch bidding from "maximize clicks" to "maximize conversions." Gated content assets solve this by creating additional trackable conversion events while also generating leads organically.
| Asset | Conversion Event Type |
|---|---|
| Industry playbooks | Gated download (form fill) |
| ROI/impact reports (e.g., dormant account reactivation) | Gated download |
| Calculators | Interactive tool engagement |
| Demo audio/video | Video play event |
These assets are intended to work across channels simultaneously:
- Paid search: Provide 5–6 conversion actions needed to unlock "maximize conversions" bidding (see [2])
- Organic/SEO: Blog posts and landing pages targeting verticals keywords drive traffic to gated assets
- Email/ABM: Assets serve as nurture touchpoints and re-engagement hooks
Justin Dwyer noted the goal is to have all channels — ABM, email, Google Ads, organic — feeding into the same conversion infrastructure so attribution and performance insight become actionable.
Retail AI appeared in Google Ads search term reports. Key distinction from AviaryAI:
Implication for content strategy: avoid mirroring Retail AI's technical/developer-oriented topics. Blog posts and case studies should speak to business outcomes, not implementation details.