Your Brand, AI Ready: One Year of SolCrys

I started my marketing career in SEO in 2007, helping a Chinese building materials startup outrank incumbents many times its size. It was my first lesson that a small team with a sharper understanding of how discovery works can beat a bigger budget. From there I moved into communications and spent five years as a journalist interviewing executives, officials, traders, and analysts, which taught me to ask better questions and to tell the difference between a claim and a fact.

Then I came to the United States, where I have now worked for ten years. I began as a growth hacker at AppSheet and branched into product marketing and GTM strategy in 2019, and along the way I did nearly everything a marketer is asked to do: SEO and SEM, case studies, running a blog site, events strategy, partner training, sales enablement, product launches, category marketing, and analyst relations.

My scope kept changing, but the pressures never did. There was always more to do than any team could take on, so every planning cycle began with what marketing should prioritize. Leadership always wanted proof that the work mattered, so every review came back to how we measure success. Every launch set the bar for the next one, so every retrospective asked how we get better with each cycle. And behind all of it sat the question that matters most, which is how we serve customers well.

AI changed both sides of marketing at once

Those questions matter more today than they ever have, because AI has changed both sides of marketing at once. On one side, Claude and ChatGPT can now produce in seconds what used to take a team weeks. On the other, buyers have started turning to those same engines to decide what to buy and whom to trust, which means AI is now the first reader of your brand and often the first voice to describe it. More content does not prepare a brand for that moment. Great work has never been about quantity; it has always been about quality, and no matter how powerful the models become, they cannot make a brand ready on their own. Readiness comes from knowing what is true about your company, what deserves to be communicated, and how to tell it, in the right format and through the right channel, to reach your audience.

Three of us said yes on September 18

That conviction is why, on September 18, 2025, three of us decided to work together. Jia, Eason, and I set out to build agentic marketing solutions on that foundation, so that any brand could be ready for a world where AI stands between it and its customers.

We began the way I was trained to begin, by listening. Our first months were spent on customer insights, sitting in interviews and deep dives with marketing leaders, and those conversations kept circling back to the same blind spot. Buyers had started asking AI what to buy, whom to trust, and which company leads a category, while the brands being discussed had no idea what AI was saying about them.

A year of shipping, driven by what customers asked for

That blind spot became our first major product. In May 2026, shortly after Raejeanne Skillern, former CMO of AWS, joined us as Strategic Advisor, we launched SolCrys AEO as a governed loop that lets a brand measure its visibility, diagnose the gaps, execute the next best action, and verify what changed. We were deliberate about building a loop and not another dashboard, because a dashboard tells you where you stand while a loop helps you improve.

MCP came next, because customers wanted to use SolCrys without leaving the environments where they already write, code, analyze, and create. We shipped it in June and watched teams turn visibility insights straight into content. Once they could see and act on how they appeared in AI answers, they wanted to know whether the answers were right, and whether being mentioned meant being chosen. In July we answered both, first with Answer Accuracy, which flags ungrounded claims and helps teams correct them, and then with Recommendation, which measures how favorably AI endorses a brand compared with its competitors. We closed the month by launching Corporate Context Engine, a living record of a company's approved facts, claims, and proof, alongside Community Intelligence, which starts with Reddit and helps teams join the conversations that shape AI answers. In August we added Signals, which monitors a customer's industry and competitors and briefs them daily so that what they publish keeps them cited. And in September we launched our web product and our animation product at AI Infra Summit, together with our design partner Cornelis.

Cornelis: three requests, one context

Looking back, none of this came from a roadmap we dreamed up in a room. Our portfolio has been driven by customer needs, and specifically by needs we heard again and again across a broad set of customers. Our work with Cornelis shows how that happens in practice. They started working with us on AEO, then asked us to help with their webpages, and then brought us in to create the booth animation for their presence at the summit. Each request looked like a separate project at first, but every one of them drew on the same approved facts, the same claims, and the same proof.

Expanding from core AEO into webpages and animation may look like a stretch, but to us it was the natural next step. Writing copy for AI does not happen in a vacuum. The facts an AI engine cites are the same facts a buyer reads on your website and hears at your booth, and a good marketing experience meets customers wherever they are, whether those customers are AI or human, whether they are browsing the web or showing up in person.

One system, not two playbooks

Cornelis is not an exception. Across our customers, marketing teams are finding that AI answers, webpages, community conversations, and event content can no longer be run as separate projects, because buyers and AI engines read them all as one story. What these teams need is one system: a single Corporate Context, built once, from which agents and humans work together to create every output. Today that context powers AI answers, webpages, booth animation, community engagement, and industry and competitor monitoring for the teams we work with. This is the discipline I spent nearly twenty years practicing by hand, now built into the way our customers' work gets done.

It would be tempting to handle all of this by running two playbooks, one for people and one for AI, but marketing to humans and to AI separately is not a good strategy. Your customers move between the two without noticing the seam. They read a Reddit thread, ask ChatGPT to compare options, visit your website, and stop by your booth, and they expect the same story at every stop. That is why we build everything from one context, so the story holds together whether the first reader is a person or a model.

Your brand, AI ready

That is what we mean by your brand, AI ready. You do what you are good at, building great products and serving your customers, and we make sure your brand shows up accurately and consistently wherever those customers look, whether in an AI answer, on a webpage, or at your booth.

To Jia and Eason, thank you for saying yes on September 18. To our customers and advisors, thank you for every piece of feedback, because every feature we shipped began with something you told us. We built year one by listening, and we intend to build year two the same way.