How is this different from an ecommerce SEO agency?

An ecommerce SEO agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your product and category pages, drafts grounded content, applies schema and reports on attribution, with your team reviewing the output instead of briefing it. One provider replaces the dashboard, the agency and the content team.

Do you handle Shopify SEO specifically, or just general ecommerce SEO?

Both, on the same workflow. Shopify stores get audits and fixes built around how Shopify structures product, collection and category pages, and the schema, content and attribution pipeline is the same one every other storefront runs on.

Which AI platforms do you track for shopping queries?

ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, DeepSeek and Grok. Visibility, position and sentiment are logged per prompt with the full response text, so you can read exactly what was said about your products.

How do you stop AI recommending a product that is out of stock?

The coworker monitors how AI surfaces describe your catalogue, and flags a regression, such as a sold-out variant or a discontinued product still being recommended, so a correction can ship before a shopper acts on it.

Does this cover marketplaces like Amazon, or only our own store?

This programme focuses on your own storefront: the pages you control, where schema and content changes are yours to ship. It does not manage marketplace listings on Amazon or similar platforms, which run on their own separate systems.

E-commerce

AEO for e-commerce marketing teams, handled by an AI Coworker that runs Shopify SEO, builds product and category schema, and ties visibility to AI-sourced purchases.

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E-commerce handled by the PingAura AI Coworker

The Strategy

Who is this for?

PingAura runs ecommerce SEO for online retailers and DTC brands whose shoppers now ask AI assistants what to buy before they open a storefront. Shopify merchants get Shopify SEO built into the same programme: the AI Coworker builds product and category schema, drafts and reviews content, and reports on which AI surfaces already recommend your products, with your team reviewing rather than briefing.

Built for the future of Search Engine Optimization.

Stop guessing how AI models perceive your brand. Get direct insights into the citations and mentions driving your traffic.

Ecommerce SEO and Shopify SEO handled end to end by an AI Coworker, replacing the agency retainer and the ranking-only report

Visibility, position and sentiment in shopping queries across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok

Product and category schema applied across product, collection and category pages, kept current as stock changes

LLM-optimised product content published directly to your CMS, with review steps built into the workflow

Attribution from AI visibility signals through to AI-sourced purchases and revenue, via GA4 and Search Console

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Elleven Media Case Study

“PingAura completely changed how we think about SEO. We're now optimizing for how AI reads us, and our share of voice in ChatGPT search results has tripled in 2 months.”

AI citation growth

12+

AI engines tracked

Read the full story

The challenge

Do shoppers find your competitors when they ask AI what to buy?

Shoppers increasingly ask ChatGPT or Gemini for a product recommendation before they open a storefront. When those assistants name a shortlist, you have no way of knowing whether your products are on it, or what they say about them.

Is AI recommending a product that is out of stock or discontinued?

An AI assistant working from a stale product page can send a shopper to a listing that sold out weeks ago or a variant you no longer carry, and nothing tells you it happened until the shopper lands on a dead end.

Is your ecommerce SEO agency reporting on rankings while shoppers ask AI instead?

Traditional ecommerce SEO reports on Google positions for product and category pages. Those reports say nothing about whether the assistants shoppers actually consult recommend your products over a competitor, so the spend keeps going while the channel shifts underneath it.

How it works

Connect your store

Add your brand, product catalogue, platform and up to five competing retailers. The AI Coworker builds the prompt set from how shoppers actually describe what they want to buy, not from keyword exports.

Track how AI answers shopping questions about you

Visibility, position and sentiment across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok, logged per prompt with the full response text so your team can check what was said.

Fix the pages the answers are drawn from

The coworker audits product, category and collection pages, then ships the schema and structured-data updates that make them citable, with every change queued for your review before it goes live.

Connect visibility to AI-sourced purchases

AI-sourced sessions tie through GA4 and Search Console to purchase events and revenue, so the programme reports on sales pipeline rather than citation counts.

What your buyers ask AI assistants

E-commerce prompts the AI Coworker tracks across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok.

What's the best budget running shoe for someone with flat feet?
Is this backpack still in stock, and does it ship internationally?
Which mattress brand has the best return policy for a first-time buyer?
What do reviewers say about the battery life on this headphone model?
Is there a cheaper alternative to this skincare set with the same ingredients?
What size should I order if I'm usually a medium in this brand?
Which retailer has the fastest delivery for this product in my area?

Powerful visibility tools

Everything you need to master the shift from traditional search engines to AI-driven discovery.

Shopify SEO built in

Product, category and collection pages audited against how Shopify structures them, with schema and content fixes shipped for the platform you actually run rather than a generic template.

Product and category schema

Product, Offer and AggregateRating structured data applied across product and category pages, which is what AI surfaces read when they recommend or compare an item.

Multi-storefront coverage

Visibility tracked per storefront or region, so a retailer running several stores can see which ones are cited and where a specific storefront is missing from AI recommendations.

Stock and price accuracy monitoring

Flags when an AI surface is still citing a sold-out variant, a discontinued product or an old price, so a correction can ship before a shopper acts on stale information.

Product content at scale

LLM-optimised product and category descriptions drafted with grounding and review steps built into the workflow, then published directly to your CMS.

Attribution to AI-sourced purchases

AI-sourced traffic connected through GA4 and Search Console to purchase events, order value and revenue.

Common questions

How is this different from an ecommerce SEO agency?: An ecommerce SEO agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your product and category pages, drafts grounded content, applies schema and reports on attribution, with your team reviewing the output instead of briefing it. One provider replaces the dashboard, the agency and the content team.
Do you handle Shopify SEO specifically, or just general ecommerce SEO?: Both, on the same workflow. Shopify stores get audits and fixes built around how Shopify structures product, collection and category pages, and the schema, content and attribution pipeline is the same one every other storefront runs on.
Which AI platforms do you track for shopping queries?: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, DeepSeek and Grok. Visibility, position and sentiment are logged per prompt with the full response text, so you can read exactly what was said about your products.
How do you stop AI recommending a product that is out of stock?: The coworker monitors how AI surfaces describe your catalogue, and flags a regression, such as a sold-out variant or a discontinued product still being recommended, so a correction can ship before a shopper acts on it.
Does this cover marketplaces like Amazon, or only our own store?: This programme focuses on your own storefront: the pages you control, where schema and content changes are yours to ship. It does not manage marketplace listings on Amazon or similar platforms, which run on their own separate systems.