Before someone lands on your product page, they ask ChatGPT or Google AI what to buy and where to get it. If the answer names a competitor selling the identical SKU, the sale was decided before your site loaded. I build the structure that gets your store named instead.
Because on most stores, the pages that matter most are the ones a machine can read least. These are not hypotheticals. They are what I find on nearly every catalog I audit.
Collection pages are your highest-intent commercial pages. On most stores they carry no H1 and no structured data at all, while product pages get the full treatment. The pages closest to the money are the thinnest thing on the site.
Highest intent, lowest markupIn May 2026 Shopify auto-published an llms.txt and agents.md to every store. It is roughly 530 words of checkout plumbing and it never names a single thing you sell. That file is the first thing an AI agent reads about your brand.
530 words, zero product termsIn most catalogs, the competing stores carry the identical units from the identical manufacturers at the identical price. When the product is the same, the only thing left to compete on is which store the buyer's research surface decides to name.
Same product, different answerGEO is the work of getting your store cited inside AI answers, not just ranked in blue links. When a buyer asks ChatGPT, Perplexity or Google AI which product to buy and where to get it, GEO is what decides whether your store is one of the sources named.
Someone asks "what size wood stove do I need for 1,800 square feet" or "best fireplace insert for a small room" weeks before they are ready to buy. GEO is what makes your catalog the thing the answer is built from.
Six pieces of work. Most catalogs need the first three before the rest is worth doing.
Most catalogs are organized by brand, because that is how a distributor thinks. Buyers search by type, size, fuel, finish and use case. Those pages usually do not exist yet.
Get cited by ChatGPT, Perplexity, Claude and Google's AI Overviews, including a real llms.txt that describes your catalog instead of the platform default.
The problems that matter on a 700-SKU store are different from the ones on a five-page site. Crawl budget, duplicate variants, thin templates and index bloat.
The sizing, spec and comparison questions buyers research weeks before they are ready to purchase. This is where the AI citations actually come from.
Price, availability, brand, variants and returns, expressed so a machine can read them across the whole catalog rather than on the handful of pages someone got to.
Weekly checks on what AI actually answers for your buying questions, which stores get named, and what changed since last week.
Four stages over the first 90 days. You see the roadmap before anything gets built, and you own it either way.
Technical baseline, collection architecture, schema coverage, and where you currently stand in AI answers against the stores selling your exact SKUs.
Weeks 1-2The audit becomes an ordered list: what to fix, in what sequence, and what each item is worth. You keep this document whether or not I build any of it.
Weeks 2-3Collection templates, schema across the catalog, the answer layer, and an llms.txt that names what you sell. Shipped in pieces so you can see each one land.
Weeks 3-8Organic visibility and AI citations tracked against the baseline from week one, so you can see what moved and what did not. Keep what works, cut what does not.
Weeks 9-12These are my own properties, not client averages. I built the method on my own sites first so the numbers would be things you can go and check rather than things you have to take my word for.
Every prompt I test against ChatGPT is logged publicly, dated and unedited, including the answers that are not flattering. See the prompt-test log.
Start with the audit. You keep the roadmap whether or not you hire me to build any of it, which is the point: you should be able to walk away with something useful.
No rankings promised and no AI citations guaranteed, because nobody can honestly promise either. What you get is the roadmap, correct implementation, and measurement you own.
Got questions? I've got answers.
GEO is the work of getting your store cited inside AI answers, not just ranked in blue links. When a buyer asks ChatGPT, Perplexity or Google AI which product to buy and where to get it, GEO is what decides whether your store is one of the sources named.
Local SEO is about being found in one city. E-commerce SEO is about catalog architecture. The work sits in collection pages, product templates, structured data across hundreds of SKUs, and the buying-guide content people read before they are ready to purchase. A 700-product store has 700 chances to be machine-readable, and most stores waste nearly all of them.
No. Nobody can, and anyone who does is selling you something. What I guarantee is a prioritized roadmap, correct technical implementation, and measurement you own, so you can see exactly what changed and what it moved.
The audit is $2,500 one-time and produces a prioritized roadmap you keep whether or not you hire me for the build. The Build is $7,500 one-time. Ongoing maintenance is $1,500 per month and you can cancel anytime.
Mostly Shopify, since that is where most high-ticket catalogs live and where the agentic commerce layer is moving fastest. The method is platform-agnostic though. If your store renders HTML and you can edit templates, the work applies.
I do not know, and anyone who hands you a date is guessing. Model training and retrieval cycles are not published and they vary by platform. What I can tell you is that the technical work lands immediately and is measurable from day one, and that I baseline your AI citations in week one so you can watch the change rather than take my word for it.
I do. You work directly with me, Tyler Moncrieff. There is no account manager layer and no junior team. That caps how many stores I can take on at once, which is deliberate.
Read access to Search Console and GA4, and eventually theme access for the build. That is it for the audit. If you do not have Search Console set up properly, getting that right is usually the first thing in the roadmap, because you cannot optimize what you cannot see.
Send me your store and I will run the free visibility check: where you sit technically, what your llms.txt actually says about you, and whether AI names you or a competitor for your core buying questions. No charge and no obligation.
Takes 30 seconds. No obligation.
Thanks for reaching out! I'll analyze your online presence and get back to you within 24 hours with your free SEO + AI Search audit.
Need faster response? Call (828) 471-0032
About Tyler Moncrieff · Local business in Charlotte? That work lives at RankOps. Neighborhood pages: Ballantyne · Dilworth · Myers Park · Noda · Plaza Midwood · South End · Southpark · University City · Uptown · Beatties Ford Road