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For ecommerce teams

See when AI answers recommend your products

Track the shopping and comparison questions your buyers ask. Foglift shows whether your products appear, which store pages the engine cites, whether crawlers can reach them, and which AI referrals arrive on product and category pages.

Comparing vendors first? Read the ecommerce AI visibility tools guide. This page explains the ecommerce product-visibility workflow inside Foglift.

$0

to audit one public URL

Run an unlimited single-page Technical Audit without signup or a credit card.

5x

dimensions in one Technical Audit

SEO, AI Readiness, performance, security, and accessibility in one page-level report.

5

engines from Launch

Monitor ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview from $49 per month.

The workflow

Follow the path from product page to AI referral

Keep four evidence types separate. A clean page can still be absent from an answer, a crawler fetch can happen without a citation, and a citation can happen without a person clicking through.

  1. 01

    Audit the pages buyers and engines can read

    Run a Technical Audit on a product, category, or buying-guide URL. The report checks the published page for structured data, headings, answer-ready copy, crawler access, performance, security, and accessibility.

  2. 02

    Monitor the questions that lead to a purchase

    Track product comparisons, category shortlists, use-case questions, and brand-versus-brand prompts. Keep each engine separate so one strong result cannot hide a weak result elsewhere.

  3. 03

    See the pages and competitors inside each answer

    Review brand mentions, position, sentiment, named competitors, and provider-returned citation URLs. Gemini monitoring does not expose citations; Google AI Overview remains the grounded Google lane.

  4. 04

    Connect retrieval to a real visit

    Sensor data separates crawler fetches from human referrals. Referral analytics shows which AI engine sent the visit and which product, category, guide, or store page received it.

Prompt examples

Measure real buying questions

Start with the constraints shoppers actually use: product type, use case, price, material, size, location, compatibility, and who the product is for. Each prompt becomes a repeatable measurement unit.

Product comparison

Best lightweight carry-on for a week in Europe

Inspect: Which brands appear, how they are described, and which product or review pages are cited.

Category shortlist

Best fragrance-free moisturizer for sensitive skin

Inspect: Whether the answer retrieves the relevant category and product pages for the buyer's constraints.

Merchant choice

Where should I buy a refurbished standing desk online

Inspect: Which sellers appear and whether an AI referral lands on a product, category, guide, or home page.

Evidence boundary

Know what the workflow does and does not do

Foglift measures the public web and the AI answers tied to your prompts. Storefront feeds and marketplace enrollment stay with the engine, commerce platform, or merchant-feed provider.

Included

Published-page audits, prompt monitoring, mentions, sentiment, competitors, provider-returned citations, crawler requests, referral visits, recommendations, and content briefs.

Separate commerce systems

Catalog ingestion, product-feed submission, marketplace enrollment, schema injection, inventory sync, checkout, and merchant ranking remain outside the product.

Plans

Start with one page, then add monitoring breadth

PlanPriceEcommerce evidence boundary
Free$0Unlimited single-page Technical Audits plus active-use weekly Perplexity monitoring for one brand
Launch$49/moThree brands, daily monitoring across five engines, full-site audits, REST API, CLI, and MCP access
Growth$129/moTen brands, twice-daily monitoring, Buyer-intent Win Rate, and a branded read-only Client Portal
EnterpriseCustomEnterprise adds full white-label delivery, hourly monitoring, and custom allowances

FAQ

Ecommerce AI visibility questions

Does Foglift import my ecommerce catalog or product feed?

No. Foglift audits published web pages and monitors configured questions across supported AI engines. It does not ingest a merchant catalog, submit a product feed, inject schema, or connect a store to an AI shopping marketplace.

What does the Technical Audit check on a product page?

The Technical Audit inspects the published URL for structured data and page-level evidence, including heading clarity, answer-ready content, entity identity, citation formatting, content depth, and AI crawler access. It also reports SEO, performance, security, and accessibility.

Which AI engines can an ecommerce team monitor?

Free uses active-use weekly Perplexity monitoring. Launch and higher plans add ChatGPT, Claude, Gemini, and Google AI Overview for five-engine coverage. Citation availability differs by provider, and Gemini monitoring does not expose citation URLs.

Can I see whether an AI answer sent a shopper to a product page?

Yes, after Sensor is installed. Referral analytics groups recognized AI referrals by engine and landing page. It keeps human visits separate from crawler fetches, and a fetch never counts as a referral or citation.

Does Foglift work with Shopify, WooCommerce, or a custom storefront?

Foglift works from public URLs, so the Technical Audit and monitoring workflow are platform-independent. Sensor installation varies by stack. Shopify and Wix also have supported connection paths, while other stores can use the pixel, npm package, or framework guide that matches their site.

Audit the product page your buyers see

Start with one public URL. Add monitoring when you need repeatable evidence across shopping questions and engines.