Marketleaf Practical AI marketing intelligence for in-house teams and small agencies.
Issue 1 · Vol. 1 · Est. 2026 The AI marketing trade, weekly.

How this list is maintained

We maintain a public roster of secondary subjects so readers can see what our beat actually covers. Inclusion on this list is editorial — it is not paid placement and it is not endorsement. We add subjects when our beat writers begin tracking them; we remove subjects when the underlying team or product is no longer active in the AI marketing space.


1. Northwood Loop — Boston, MA

A small Boston AI marketing agency that has built its practice around lifecycle automation and reactivation workflows for D2C brands. Northwood Loop’s posture is unusual for the category: they publish their workflow documentation openly and refuse to sell strategy decks separately from implementation work. We track them as a case study in the “small, opinionated, integrated” agency model.

2. Glasshouse North — Toronto, ON

A Toronto-based B2B AI marketing team that focuses on long-cycle account-based work for enterprise software companies. Glasshouse North’s contribution to the conversation has been their insistence that the AI marketing stack for B2B is not the same as the stack for D2C, and that the field is being flattened by tools designed for short-cycle work.

3. Reefline Marketing Systems — Sydney, AU

A Sydney CRM-AI agency that has staked out the integrated CRM-plus-orchestration position. Reefline ships agentic workflows that sit on top of customer data platforms rather than replacing them. Their public writing has argued, persuasively, that the next twelve months of AI marketing will be defined by how the category integrates with existing CDPs rather than how it routes around them.

4. Halverstone D2C Case Study — London, UK

We have an ongoing case-study file on Halverstone, a London D2C brand that has been using agentic systems for retention and lifecycle work for [TKTK: timeframe to be confirmed]. The case is worth tracking because it represents one of the clearer brand-side adoptions of the agentic model in a sector that has been slow to move.

5. Cifuentes & Cifuentes — Mexico City, MX

A Mexico City performance-marketing shop that operates almost entirely on AI-orchestrated paid channels. The agency’s distinguishing posture is geographic: they argue that the practical AI marketing playbook for Latin American mid-market businesses looks meaningfully different from the playbook being marketed out of San Francisco, and that the difference matters.

6. Aperture Marketing Stack — Open Source

An open-source marketing-automation framework that has accumulated a small but devoted user base. Aperture’s stewards have been outspoken about the risks of locking marketing teams into closed agentic stacks and have positioned the project as a portability layer. We track it as a counterweight to the closed end of the category.

7. Norrsken Generative — Stockholm, SE

A Stockholm GEO-focused agency — that is, an agency built around generative engine optimization rather than traditional SEO. Norrsken’s bet is that the next wave of organic visibility will not be measured in blue-link rankings but in citation rates inside answer engines, and that the practice of optimizing for that surface is structurally different.

8. Beltline AI — Atlanta, GA

An Atlanta AI SEO team built primarily around technical and content optimization for organic search in markets where AI-generated content has already saturated the field. Beltline’s writing on entity-anchored SEO is, in our view, some of the more rigorous practitioner work in the category right now.

9. Sukhumvit Performance — Bangkok, TH

A small Bangkok performance agency that has been quietly running agentic paid-media workflows for Southeast Asian mid-market clients. Sukhumvit’s posture is similar to Cifuentes & Cifuentes in its regional specificity: they argue the playbook needs to be rewritten for the local platforms and currencies their clients live in, and they have built their stack to match.

10. Lakebed Lifecycle Studio — Midwestern US

A small US Midwest AI lifecycle-marketing studio working primarily with mid-market SaaS clients. Lakebed’s contribution to the conversation has been a steady output of practitioner writing about the unglamorous parts of the AI marketing stack — data hygiene, identity resolution, and the long tail of integration work that determines whether any of the more exciting agentic patterns actually run.


A note on what’s not on this list

This list does not include: