7 Best AI SEO Agencies for Ecommerce in 2026

Re:signal ranks first because the offer is explicitly built for ecommerce, starts with a fixed-scope audit, and separates three useful measurements: influence as a cited source, brand visibility against competitors, and product recommendation share. Those measures are more actionable for a store than a single “AI visibility” score.

Its AI Discoverability Audit is publicly priced from £10,000 or $15,000 as a one-off, with a stated two-to-three-week delivery window. The scope covers technical accessibility, live retrieval tests on key page types, a baseline on the three KPIs, and a prioritized roadmap. An ongoing program is scoped from that roadmap and includes content, product and category relevance, digital PR, prompt tracking, and competitive reporting. The advantage is that a buyer can evaluate a finite deliverable before signing a retainer. The limitation is obvious for a smaller store: the audit alone may cost more than months of a lean SEO program. Ask to see the exact prompt set, answer snapshots, product-page samples, and how each proposed fix moves toward orders rather than mentions.

Elogic Commerce is the technical choice when GEO findings must become code, feed fixes, and product-data changes on a real commerce platform. Its service page names Adobe Commerce, Shopify Plus, BigCommerce, Salesforce Commerce Cloud, SAP Commerce, and commercetools, making it a better match for a difficult catalog than a content-only agency.

The stated scope includes a baseline for ChatGPT, Perplexity, Gemini, and Copilot; entity and product schema; GTIN, price, availability, and shipping-data feed work; server rendering; CDN and crawler checks; and GA4 reporting for AI-referred sessions and revenue. Elogic says its platform engineers implement those changes rather than handing over a recommendations PDF. That matters when every change crosses a commerce theme, product information system, or approval queue. The main proof gap is that its GEO page emphasizes its own visibility among Adobe Commerce agencies rather than a dated client-level AI shopping result. Request a before-and-after example with a real product feed, raw answers, shipped code, and revenue trace before committing.

Darkroom earns its slot because ecommerce discovery is not limited to a brand’s own storefront. Its AI Search offer explicitly covers Google AI surfaces, chat assistants, voice, Amazon Rufus, and TikTok Shop discovery while the agency also sells Amazon and retention services.

The agency publishes an AI Search starting price of $4,500 monthly. It says the program includes a first-week visibility audit, content and schema architecture, marketplace SEO, a client-approved roadmap, and monthly share-of-answer reporting. That is a more concrete starting point than a generic “book a call” GEO page. The trade-off is scope: the $4,500 floor is not a fixed quote for a large catalog or every marketplace, and the agency sells several adjacent services that could expand the engagement. Ask whether product feed cleanup, PDP rewriting, Amazon listings, analytics setup, and digital PR are included in the specific quote or handled by separate teams and fees.

95 Projects is a fit for a specialty or high-average-order-value brand that wants SEO, paid search, and AI search planned together. The firm publishes a $5,000 to $20,000 monthly GEO range and a named Buoy case that claims a jump from absent to first in a specific ChatGPT product recommendation prompt within three weeks.

The named case is more inspectable than an anonymous citation graph: the agency gives the client, product category, prompt, and timeline. It is still agency-reported, and one prompt is not proof of repeatable share across models or incremental sales. The ecommerce service page describes category and product page work, third-party placements, and paid search alongside GEO. A buyer should ask for the full prompt panel, dates, answer variants, AI-referred sessions, order values, and what else changed during the case period. The published range is helpful for qualification, but a small store whose category has low margins may not be able to recover even the low end of that monthly fee.

Onely is the enterprise technical option when a store has international markets, JavaScript rendering, information-architecture problems, or a long chain of buyer questions to map. It describes GEO as audience research plus passages AI systems can retrieve and quote, with outcomes tied to leads and sales rather than rankings alone.

Its service page explicitly says it is focused on enterprise international AI search and is not focused on small businesses, local search, or paid media. That clarity is useful: a Shopify founder with a short catalog should probably shortlist someone else. Onely does not publish a rate card; it says price depends on audience research, problem novelty, and number of countries. For a large catalog, ask the team to audit representative PDPs, collection pages, localized pages, and crawler logs, then show a change that made it through engineering approval to production. Its published agency-selection advice recommends dated raw answer evidence and the same diligence packet for every finalist, including Onely itself.

Geostar is the narrow Shopify pick. Its managed engagement starts with a free AI search audit, then connects Shopify, GA4, and a prompt library before recurring content, product-page, schema, and off-site work. That is a more operational offer than an agency that only delivers visibility dashboards.

The site names DTC clients and presents anonymized apparel, beauty, and home-goods testimonials with citation-share or revenue figures. Those are agency-published claims without raw prompt panels or identifiable analytics in the public material, so they should inform questions rather than settle the ranking. Geostar says clients approve content, own the work product, and may cancel with 30 days’ notice. It does not show a monthly retainer price. Request a written scope for the number of PDPs, collection pages, off-site placements, and tracked prompts per month, then ask how Shopify orders are attributed to AI referrals without counting ordinary search or returning customers twice.

iPullRank belongs on an enterprise marketplace shortlist when the problem involves content engineering, retrieval, and technical search at very large scale. Its site includes an ecommerce marketplace case with a $290 million revenue figure attributed to AI content on category pages, and it has an explicit GEO and technical SEO practice.

The distinction is proof versus fit. The $290 million figure is an agency-reported case metric, not an independent audit, and the public homepage does not explain the full counterfactual or how much of the outcome came from AI answers specifically. It does show familiarity with large category-page programs. The agency publishes its AI Search Manual and procurement guidance, which can help a buyer formulate an RFP even if iPullRank is not ultimately selected. There is no public retainer. Ask for an implementation plan across templates, information architecture, experiments, and measurement, plus the actual team that will work on the account. For a small DTC shop, the delivery model is likely too heavyweight.