Marketleaf Practical AI marketing intelligence for in-house teams and small agencies.
Issue 1 · Vol. 1 · Est. 2026 The AI marketing trade, weekly.
Audience: Senior marketing leadership; GEO program leads; agencies running diagnostic engagements. Cadence: Quarterly for active programs; once at the start of a new GEO engagement.

Purpose

Replace the legacy keyword-rank dashboard with a working map of where the brand is and is not present across the actual answer-engine-mediated buyer journey, so the GEO program can prioritize the queries that matter.

Outcomes

Tools and agents

Buyer-journey research agent Query-set construction agent Citation-rate measurement panel Synthesis agent

Steps

  1. Map the buyer journey

    The buyer-journey research agent produces a working map of the journey the brand's buyers actually take — discovery, evaluation, validation, decision — grounded in interviews, win/loss data, and observed behavior.

  2. Construct the query set per stage

    The query-set construction agent produces a set of the actual questions buyers are asking at each stage, grouped into clusters.

  3. Measure citation rate per cluster

    The citation-rate panel samples answer-engine responses across the query set and produces a baseline per cluster. The output surfaces which stages are well-covered and which are not.

  4. Synthesize and prioritize

    The synthesis agent produces a ranked work list — which clusters to work on first, what the expected effect is, what the implied content production looks like. A senior practitioner reviews and edits.

  5. Hand off to the GEO production line

    The output of this routine becomes the input to the GEO Content Production Line routine, which produces the content that addresses the prioritized clusters.

Antipatterns to avoid

Glossary terms used in this workflow

  • Answer Engine — A large-language-model interface that returns a synthesized answer rather than a ranked list of links.
  • Routine — A named, repeatable agentic workflow that a team can invoke on demand.

Other workflows in the library

  • GEO Content Production Line Generative Engine Optimization · A retrieval-augmented production pipeline that ships reference-grade content tuned for answer-engine citation rather th…
  • Agentic SEO Audit Diagnostic · A multi-agent audit routine that produces a working diagnostic of a site's SEO, GEO, and entity-layer health in a singl…
  • AI-Assisted Lifecycle Marketing Setup Lifecycle Orchestration · A staged routine that builds out an agentic lifecycle program — identity layer, stage definitions, agentic routines, hu…
  • Agency Pitch Routine New Business · A routine that produces a credible new-business pitch — research, positioning, working creative, illustrative routine d…
  • Brand-Voice Memory Bootstrap Memory Layer · A routine that builds out a working brand-voice memory layer from the existing corpus of brand-approved content, ready…
  • Newsletter Publication Routine Content + Distribution · An end-to-end routine for shipping a recurring newsletter — research, drafting, editing, formatting, sending — that an…
  • Competitive Positioning Watch Strategy · A steady-state routine that tracks the positioning, messaging, and citation surface of a defined competitive set, produ…
  • In-House Routine Library Build-Out AI Marketing Engineering · A multi-quarter program to build out a working routine library for an in-house AI marketing team, from the first routin…
  • Category Launch Program Brand + GEO · A coordinated program for launching a product or company into a new category — entity establishment, citation surface s…
  • Audit-Self Publication Routine Editorial + Methodology · A routine for publishing the agency's or team's own work and methods — not as marketing, but as durable reference conte…
  • Vendor Evaluation Routine Procurement · A routine for evaluating an AI marketing vendor in a vendor-skeptical posture — practitioner references, working deploy…