Ecommerce AI SEO agency: get your products recommended by ChatGPT, Google AI and every other AI engine.

Buyers ask, they no longer only search

The query is not "vegan protein powder" any more. It is "what is the best vegan protein powder for weight loss". One answer comes back, naming a handful of brands. Either you are in it or you are invisible for that buyer.

AI answers are assembled from sources

The models are not inventing recommendations. They pull from high-authority listicles, review sites, forums like Reddit, and the brand pages they can retrieve. Getting recommended is mostly a question of being in the sources they read.

It runs on the same search system

Google's own documentation is clear that its AI features are grounded in normal Search: indexed pages, crawlability, internal links, real content and structured data. There is no secret AI checklist, which is why we don't sell one.

Find the prompts your buyers actually use

No tool publishes prompt volumes, and the tools that generate prompts for you produce ones nobody has ever typed. We build your prompt set from your support inbox, your non-branded commercial keywords, the "best X for Y" and "where to buy X" patterns in your niche, and our own prompt research script. Then we rank them by the search demand behind the head terms, so you work on prompts that people actually use.

Make your store retrievable by AI crawlers

AI bot crawlability checks (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and the rest), rendering, robots rules, feeds and product data. Then the on-page work that makes a product or category page answerable: clear specs, real copy, structured data, internal linking. A page an AI crawler cannot read or parse will never be cited.

Make the model understand your brand

Entity optimization and brand coherence: consistent facts about your brand across your site, your schema and every profile that describes you. Models corroborate across sources, so contradictions cost you. This is unglamorous work that quietly decides whether you get named with confidence or hedged around.

Fill the query fan-out and content gaps

AI engines fan a single question out into many sub-questions before answering. We review that fan-out for your buying questions, find where you have nothing to retrieve, and write it: blog content, collection page copy, product detail, comparisons and buying guidance. Content writing is included in your retainer, so the gaps get filled rather than logged.

Get into the sources AI is already citing

We reverse-engineer the citations behind your prompts: the exact articles each engine pulls from, and how often. Then we go and get you into them, or create the better version of them. Listicle placements, digital PR, reputation work, and presence in the forums and communities the models lean on. This is the single biggest lever in AI search, and the one most agencies skip.

Win the long tail before the head terms

"Best running shoes" is defended by publishers who charge five figures for a placement. "Best running shoes for flat feet and wide toe box" is often defended by nobody. We start where placements cost a few hundred dollars and you can realistically be the first name in the answer, then work up. Attack the side door, not the front gate.

You should be able to see this working, or see that it isn't.

Share of voice across your tracked prompts usually starts moving within one to two months, because the models re-read their sources continuously. Placements and citations take longer to land, then keep paying. Every month you get the numbers, including the flat ones.

Plenty of agencies have launched a separate GEO product with separate pricing and a list of tactics invented last quarter. We think that is mostly selling the same work twice. Google says outright that its AI features have no special technical requirements, and every study of AI citations keeps landing on the same foundations: be crawlable, be understandable, be recommended by sources that are trusted.

So we build one system. The prompt research, citation work and entity coherence are genuinely new. The technical foundation, the content and the authority work are the same things that have always won rankings, pointed at a wider set of destinations, and they are the same foundations behind our ecommerce SEO work and the numbers in our case studies. You get one team, one budget and one report.

What it costs

AI search work runs inside our normal ecommerce SEO packages, which start at $2,500 a month. There is no separate AI invoice. We agree how the budget splits between classic search and AI search based on what your store needs, and we revisit that split as the results come in.

Listicle placements and digital PR are bought from the same budget. They run from roughly $50 to $5,000 per placement, with most of the useful ones between $200 and $500, and we fit in as many as the month allows.

No lock-in contracts, one month's notice, and your first month is money-back guaranteed.

This is for you if

• You sell online and want to be named when buyers ask AI what to buy in your category
• You can invest at least $2,500 a month, placements included
• You would rather move while your competitors are still arguing about whether this matters
• You want the same team handling classic search, so the two compound instead of competing

It probably isn't if

• ×You want a guarantee of a specific position in a specific engine. Nobody can give you that honestly
• ×You need this month's revenue. AI visibility compounds, it does not spike
• ×Your store cannot publish content or be written about, because citations are the engine of this work
• ×You are pre-revenue and still working out whether people want the product