What does a typical engagement look like?
Most start with the free scan and a short call. We connect your Search Console and analytics, pick the questions your buyers actually ask, and the first weekly report lands within a week. On Grow and Lead we start fixing what the report shows in week one. You always know what changed, what’s next, and what it costs, and nobody on your side has to run anything.
Do you work with our in-house team or replace it?
Both models work. We regularly embed with in-house marketing and engineering teams, filling design, development, or analytics gaps, and we also run projects end-to-end for companies without those functions. Either way, everything we build is documented and handed off so your team owns it.
What platforms and technologies do you build on?
We build primarily with Astro, Next.js, and React on the web side, paired with headless CMS platforms (Sanity, WordPress) and Shopify for e-commerce. We choose the lightest tool that meets the requirement: performance budgets and Core Web Vitals are part of every build, not an add-on.
What can an AI agent actually do for my business?
Think of it as software that owns one job and never clocks out. Common ones we build: a lead agent that drafts a personal reply the moment someone fills out your form, a visibility agent that watches your rankings, reviews, and AI mentions and sends you a plain-English summary, and a reporting agent that turns your analytics into something you actually read. Every agent has an approval step, so nothing reaches a customer without a yes from your team. Each one is scoped to your tools and your approval process, so ask for a quote.
How do you approach SEO in the age of AI search?
We optimize for both classic search and AI answers. That means technically clean sites with structured data, fast Core Web Vitals, and genuinely useful content, plus AI-search (GEO) foundations like llms.txt, consistent entity data, and answer-ready page structure so assistants like ChatGPT, Claude, and Google AI Overviews can find and cite you.
How long until AI search starts recommending us?
Two different clocks. Technical readiness moves fast: once a site is crawlable, has structured data and an llms.txt, and answers questions plainly, engines that fetch pages live can pick it up within days to weeks. In one controlled test on an established domain, Google’s AI Mode cited about a third of new pages within 24 hours and ChatGPT about 4 in 10 within a month; newer or thinner sites are slower. Being recommended by name for “who should I hire” questions is the slower clock, because it rests on reviews, mentions on other sites, and consistent business details everywhere AI looks. Plan on three to six months of steady work for that, longer in a crowded market. We measure it every week so you can see the curve, not just the finish.
Can you fix or improve an existing site instead of rebuilding?
Yes. Conversion optimization, technical SEO remediation, GEO retrofits, and design refreshes on existing codebases are all common starting points. We audit first and tell you honestly whether improvement or a rebuild is the better investment, and we’re happy to conclude that less is enough.
What does our team have to do?
Give us access once, then nothing. We connect Search Console and analytics, run the checks, make the fixes on Grow and Lead, and send the reports. If we need something from you, like a photo, a price, or a yes on a new page, it comes as one short email. Most clients spend under an hour a month with us, and some spend none.
How do you measure success?
In counts you can check. How many of the questions we track name you this week, how many name a competitor, how many visits came from AI assistants, and how many of those turned into calls, forms, or bookings. We never report “up 250%” on its own, because 4 becoming 14 is a very different story from 400 becoming 1,400. Every report shows both numbers.
