AEO · Agent Workflows
Galaxy
Building our AEO/SEO strategy and autonomous content engine.
- Role
- Product · GTM Engineer · Strategy
- Company
- Galaxy
- Year
- 2026
- Focus
- AEO, Product Marketing, Storytelling
Created our AEO/SEO strategy for our marketing site and built an autonomous content engine to move us from 0% → top-3 cited domain in 90 days.
Problem
When I joined Galaxy, we decided to pivot from our previous product, a query client, to build a knowledge graph based context management product. The problem was that we inherited a domain that still told the old story, so we were receiving inbound for our old product idea.
Solution
I took a bet that discovery was shifting from traditional browser search to LLMs, which means that people would increasingly find tools and answers through ChatGPT, Perplexity, and AI overviews and that reclaiming our brand meant winning citations, not just Google/Bing rankings.
I started building our AEO (Answer Engine Optimization) strategy from scratch. It began as an n8n workflow that rewrote high-traffic articles in our target topics in Galaxy's voice, engineered to get cited. I ran a cadence of 3–5 pieces a week until the data showed a ceiling: past a certain point, more articles stopped helping.
So I rebuilt the system around maintenance instead of volume using a Claude agent that self-manages the site, monitors our citation and traffic analytics, and decides whether to publish something new or refresh an existing piece to stay relevant.
Impact
In 90 days, Galaxy went from cited in 0% of relevant AI answers to a top-3 cited domain across our target topics, and average daily visitors doubled, going from ~200 to ~500 per day before our MVP even shipped. This helped us reposition ourselves with our new offering so that we could have initial customer conversations with a better definition of our ICP.