Essays.
Guides and essays on AI search visibility, attribution, developer marketing, and growth, published here and across the GTM Labs newsletter.
The writing covers AI search measurement, attribution gaps, and go-to-market for developer tools: positioning for technical buyers, product-led and community-led growth, GTM engineering and agent operations, and the honest failure modes most playbooks skip. Most pieces draw on a specific engagement or original data rather than recycled theory.
By Daria Dovzhikova · Updated October 2026
The GTM Labs Newsletter
Developer-first growth, monthly.
One short, useful essay per month on developer marketing, AI-powered growth, and what's actually working in 2026. Unsubscribe anytime.
AI search visibility
How answer engines choose sources, and how to measure whether buyers find you.
How ChatGPT Citations Work
How AI picks sources and how to measure organic citation share separately from branded recall.
AI Visibility & AEO Tools Compared
Compare measurement approaches, engine coverage, and the distinction between discovery and recall.
AI Search Lead Attribution
Follow AI-assistant traffic from GA4 to the CRM, including where the measurement trail breaks.
Attribution & measurement
Understand what your platforms record, what they miss, and which numbers to trust.
Marketing Attribution Models
How attribution models assign credit and how to choose a model for your reporting.
Meta CAPI vs Pixel
Browser and server events, deduplication, and practical checks for missing or duplicated purchases.
Attribution Leak Calculator
Compare platform-reported conversions with the order of record and understand the limits of the calculation.
Growth systems & research
Frameworks for repeatable growth, automation decisions, and developer-tools product marketing research.
State of Developer-Tools PMM 2026 (research initiative)
The first practitioner-led survey of how product marketing actually works inside DevTools companies. Methodology pre-published; current fieldwork status and publication date unconfirmed.
How to Design a Growth Engine (Not Random Tactics)
A systematic playbook for building predictable, compounding growth: connected systems, reinforcing loops, consistent measurement.
What Are the Risks of Automating Growth Too Early?
A practical risk assessment for founders: what breaks, why, and how to know you're ready to automate.
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