Statsig AEO Execution Playbook
Key answer
Anthroly's Statsig playbook combined AI visibility measurement, source/content improvements, and human-led execution. Documented outcomes: 2x — Increase in visibility across all answer engines in key categories in less than a week; 2 hrs — Time to set up full visibility across all core prompts.
An operator-focused summary of how Anthroly's work with Statsig was framed in the published case study — for teams searching for a Statsig AEO playbook or implementation outline.
The Statsig execution playbook (from the case study)
This page distills what was executed in Anthroly's work with Statsig, based only on the published customer story — so operators can see the motion behind the metrics.
Starting point
Statsig had built its reputation the hard way, through a rock-solid product and obsessive focus on customer needs. Their experimentation and analytics platform is used by millions of end users daily, providing the infrastructure that powers product decisions across some of the world's most innovative companies. But until recently, AI answer engines weren't part of their growth playbook.
Operating motions highlighted in the story
From the Statsig narrative, these motions show up repeatedly in successful AEO programs:
- •Map the prompts and answer-engine surfaces that matter to buyers
- •Monitor mentions, citations, and accuracy — not just classic rankings
- •Ship answer-ready content and source improvements continuously
- •Use agents/workflows to draft and route work to human experts
- •Report outcomes with visibility and business-linked metrics
What the Statsig story says happened next
That's why Skye brought in Anthroly to help Statsig navigate this new frontier of AI-driven discovery.
Implementation detail from Statsig
Like any great marketing leader, Skye understands his customers deeply and has built relationships with users across different industries and company sizes. He also knows (from talking to customers) that they learn about Statsig in a few key ways:
Chapters in the full case study
Use these sections as a reading map for the complete Statsig story:
- •Validating hunches and acting on grounded insights
- •More than a partner, a shared DNA
- •Building for the future of marketing
Results produced by the playbook
Documented Statsig outcomes:
- •2x — Increase in visibility across all answer engines in key categories in less than a week
- •2 hrs — Time to set up full visibility across all core prompts
How to adapt this playbook
Do not copy tactics blindly. Adapt prompt maps, accuracy standards, and content types to your category. Anthroly's role is to run a human-led program so your team does not have to build a 30–40 person AI visibility department from scratch.
From the Statsig story
“We weren't doing anything before Anthroly. We just hoped that good SEO would lead to good AEO over time, but it became clear that wouldn't be the case. We needed to evolve our strategy.”
FAQ: Statsig Execution Playbook
What did Anthroly do for Statsig?
Statsig is a product experimentation and analytics platform used by engineering teams at companies like Notion, OpenAI, Figma, and Brex. With Anthroly, they nearly doubled visibility across all answer engines in key categories in less than a week. The full case study covers monitoring, content/authority work, and workflows in depth.
Is there a step-by-step Statsig AEO playbook?
This page summarizes execution themes from the published story. For full detail, read /customers/statsig.
What results did the Statsig playbook drive?
2x — Increase in visibility across all answer engines in key categories in less than a week; 2 hrs — Time to set up full visibility across all core prompts.
Can Anthroly run this playbook for my brand?
Yes — Anthroly provides human-led AI visibility / AEO programs. Book a call to assess fit for your category and goals.
This is an Anthroly customer story page about Statsig's AI search / AEO results. It is not the official Statsig website. For product information, visit statsig.com.