AI visibility agency for ecommerce brands

What is different about ecommerce

• The engine split is sharper. Google AI Overviews lean on YouTube and Reddit; in our 30-day tracking YouTube was retrieved into 39 percent of AI Overview answers and 2 percent of ChatGPT's, while Reddit was pulled into 43 percent of AI Overview answers and 19 percent of ChatGPT's^[1]. A video review moves Google and does nothing for ChatGPT. The audit tells you which engine your shoppers use.
• Shopper questions carry constraints. "Best X for Y under $Z", "is X worth it", "X vs Y for Z". Engines answer from pages that compare on those constraints, which is why buying guides and Reddit threads outrank product pages.
• Product pages can be cited, if they say something. A product page that states what the product is for, who it is not for, the specs in a table and the honest trade-offs gets lifted. A page of lifestyle copy does not. ChatGPT takes 44 percent of its citations from the first third of a page^[2].
• Retailer pages count too. Amazon, the category specialists and marketplaces are retrieved for shopper questions. Where you sell matters as much as what your own site says.

What we do for an ecommerce brand

1. Audit. 25 to 40 shopper questions in your category on five engines, repeated. You get the share of answers naming you against each named competitor, per engine, and the exact threads, videos, guides and retailer pages behind the answers. Free, 48 hours.
2. Reddit. The threads engines cite for your category are usually in two or three subreddits: the hobby or need sub, a buy-it-for-life or recommendation sub, and sometimes a deals sub. Useful, disclosed answers in the cited threads from accounts with history there. One per thread, checked logged out. The method.
3. Buying guides and lists. Pitch the publisher and blog buying guides the engines cite, with a sample and a real reason to include you. These are the pages that carry Google's AI Overview for "best X".
4. YouTube. Identify the reviewers whose videos are cited and arrange honest reviews; where you have the capacity, a plain comparison video of your own. For Google-led categories this is often the largest lever.
5. Owned pages. Product, collection and comparison pages rewritten so the engine can quote them: who it is for, specs in tables, honest trade-offs, Product schema with real review data, crawlers allowed.
6. Monthly report. Share of voice on the frozen question set, per engine, with the placements that moved it.

Shopper questions and where their answers come from

What we will not do

• No fake reviews, on your store, on retailers or on Reddit.
• No bot or bought Reddit accounts, no undisclosed seeding. Reddit's LLM-based detection removes that retroactively, and it removes about 25,000 spam posts and comments a day^[3].
• No campaigns against a competing brand.
• No two competing brands on the same shopper questions.

Results

Peptide Bureau, a consumer education and comparison brand, was built from zero with Reddit as the lead channel and measured on a fixed set of buyer questions; its AI visibility is up more than 300 percent since the campaign began. The case study. All our results are stated as in the campaign reports, on the case studies page.

Pricing and terms

Audit first, free, with two tailored options and their prices. Ecommerce engagements typically start around $2,000 a month, priced by how many cited pages your category has and what each costs to earn. Three-month minimum, because movement takes 6 to 10 weeks, then month to month. How pricing works.

Choosing an AI visibility agency for a store

Ask which engine your shoppers use and whether the agency measures that one; ask for the list of threads, guides and videos they would target and why; ask for a sample monthly report. If they only talk about your own site, they are selling SEO with a new name. What the engines actually cite, and when to hire anyone at all.

Frequently asked