eCommerce Insights vs Peec AI: SKU-level catalog scoring vs brand-level AI search analytics.

Peec AI is a European AI search analytics tool for marketing teams, with strong multi-country prompt tracking and 2,000+ customers. It tracks ChatGPT, Perplexity, and Gemini at the brand and prompt level. eCommerce Insights operates at the SKU level inside a Shopify catalog, with PDP fixes that push back to the storefront. Same category, different primitive.

Both products serve teams that need to know how AI engines describe and cite a brand. Both expose share-of-voice, sentiment, and competitive comparisons. The difference is who they are built for. Peec AI is a horizontal AI search analytics platform with a strong European footprint, used by marketing teams across categories from SaaS to retail. eCommerce Insights is vertical: it is built for Shopify D2C catalogs, where the SKU is the unit of revenue and the workflow ends with a write back to the storefront.

Based on Peec AI's public materials as of June 2026 (peec.ai). Where pricing or feature detail is not published, the table marks it as "not disclosed publicly" rather than guessing.

What Peec AI does well.

Peec AI has built a credible mid-market AI search analytics tool with clear strengths. Its multi-country tracking is a real feature — for a brand selling in Germany, France, and the Netherlands, Peec AI lets a marketer compare how ChatGPT answers the same prompt in each market. Most North American competitors treat geography as an afterthought; Peec AI ships it.

The prompt workflow is the product's spine. Prompts are organized with tags. The platform suggests new prompts with associated search-volume data, which helps a team scope its prompt library without guessing. Sentiment and visibility metrics are surfaced cleanly, and exports run to CSV and Looker Studio. The Looker Studio community connector is a quiet but useful detail — it lets analysts ladder Peec data into existing BI dashboards instead of building yet another silo.

The 2,000+ customers figure on the homepage and a published quote from Lily Ray, VP SEO Strategy at Amsive, indicate the product is being used by serious SEO practitioners. For a horizontal AI visibility tool, that traction is real.

Pricing transparency is partial. The homepage does not list tiers, but the pricing page is published, and the product is positioned for mid-market teams rather than as a closed enterprise sale. That matters when the buyer is an SEO director with a budget signing authority but no appetite for a procurement cycle.

Where eCommerce Insights fits differently.

Peec AI is built around the brand and the prompt. A Shopify D2C catalog has thousands of SKUs and a different question: which of these specific products is being recommended in which AI answer, and what change to the PDP would close the gap. That question is not Peec AI's primary surface, and the answer is not in the prompt-level data Peec AI exposes.

eCommerce Insights reads the Shopify catalog at the variant level. Each SKU receives a 0-100 AI visibility score across the six engines that matter for D2C: ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot. PDP recommendations land as diffs — a new product title, an updated bullet list, a missing material metafield, a fixed AggregateRating block — that a merchandiser approves. Approved diffs ship to Shopify via the admin API, with an audit log of who approved what and when. That workflow is a Shopify-shaped one.

Engine coverage differs. Peec AI's homepage lists ChatGPT, Perplexity, and Gemini. eCommerce Insights adds Google AI Overviews, Claude, and Copilot, with explicit coverage of ChatGPT Shopping and Perplexity Shopping at the SKU level. For a D2C brand, the shopping surfaces are where the purchase intent lives.

Geography matters in the other direction too. Peec AI's multi-country tracking is a real edge for European brands operating across markets. eCommerce Insights tracks multiple countries per SKU but does not lead with localization as a marquee feature, because the wedge is the Shopify catalog first.

“They track your brand. eCommerce Insights tracks your SKUs — and tells you what to change on every PDP.”

A concrete example.

Imagine a 200-SKU D2C skincare brand on Shopify selling into the EU, with French, German, and Dutch markets. Peec AI would let the SEO team monitor how ChatGPT, Perplexity, and Gemini answer queries about "best vitamin C serum for sensitive skin" in each market, and benchmark against named competitors. The team would see when sentiment shifts, when a competitor's share rises, and when prompts change in volume. That is genuine intelligence for a marketing director.

eCommerce Insights would track the same engines per SKU. For SKU SER-VITC-30ML it would report that the product was cited twice on ChatGPT and zero times on Perplexity Shopping in the past week, that the PDP is missing ingredient-list metafields the AI engines parse, that the FAQ schema is outdated, and that two competitor PDPs have a structured "compare to" block. It would draft a revised PDP and push the approved version to Shopify across all market variants. The two products answer different questions for the same brand; many teams would run both.

Pricing comparison.

Peec AI: Pricing is not listed on the homepage. The pricing page (peec.ai/pricing) publishes tiers; specific dollar or euro amounts are not visible from the homepage as of June 2026. A free trial is offered via app.peec.ai with no credit card mentioned.

eCommerce Insights: Public pricing from $99 per month for Seed (up to 500 SKUs, weekly refresh, six engines). Shelf at $349 per month adds daily refresh, up to 2,500 SKUs, and the Shopify push (Early access). Warehouse is custom.

Both tools are positioned for mid-market budgets rather than enterprise procurement. The decision is about primitive and integration, not list price.