Which AI Search Questions Should You Track? Start with Customer Reviews
Customer reviews reveal the situations, unmet needs, and outcomes that can become high-intent AI search prompts for ecommerce brands.
Working with context.
Methods and observations for connecting customer reviews, AI answers, and advertising.
Need the steps? Read the guides ↗22 articles
What AI Search Changes for Image-Heavy Ecommerce Pages
Why readable product evidence matters when shoppers encounter AI answers, with a dated look at Pew’s US Google browsing study.
ChatGPT Search Optimization: Why You Need to Manage Organic and Paid Together
Compare organic mentions and ad performance in the same customer context. Match the product, market, and period, then use the evidence to choose the next task.
Continue AEKO Work in Claude or Codex
Use AEKO MCP and saved task plans in Claude or Codex, and distinguish connected-AI work from supported hosted automations and their costs.
JSON-LD for Product Pages: What It Is and How to Check It
A practical guide to Product structured data: what JSON-LD does, how to find it in Chrome, and what to compare across product pages.
What Is AEKO? A Context Marketing Platform
Connect store and review context to AI visibility, evidence review, ads, content plans, and the next task in your AI.
AEO, GEO, and ACO: A Practical Guide for Commerce Teams
Understand AI-answer visibility and agentic commerce, then apply the 5Cs to product facts, review context, content, and ads.
Using /artifact-design to Review Agent Plans Before Implementation
How AEKO orchestrates Claude and Codex planners, consolidates their work, and turns the plan into a visual artifact for human review.
Case Study: How AEKO Reviews Gemini and Perplexity Citations
A July 2026 client review showed why crawler logs and answer citations need separate verification. This case note explains the method without publishing identifiable client results.
[Founder's Note] Context Is Becoming The New Targeting for Ads
A founder’s June 2026 observations about customer situations and ad planning, based on the OpenAI Ads account he explored.
How AEO Can Inform Your AI Advertising Plan
Use customer context and visibility findings to plan ad tests, while measuring organic mentions, citations, and paid delivery separately.
AI Shopping Is Moving Beyond Search Bars Into Carts and Checkout
Gopuff, Amazon, and Hey Savi with PayPal show how AI shopping is moving from product discovery into cart-building and checkout.
What Google Preferred Sources And Naver Mate Show About AI Citations
Google Preferred Sources and Naver Mate show why AI citation is becoming a core process metric for AI search.
What Shopify’s Q1 2026 Data Says About AI Referrals
Read Shopify’s early AI-referral observations with their cohort and period, then compare equivalent metrics in your own store.
An Illustrative AEO Playbook for a Korean Beauty Brand Entering the US
A fictional workflow for selecting prompts, reviewing product evidence, publishing content, and comparing AI answers. No customer results are claimed.
An Illustrative AEO Playbook for a Korean Health Brand in Japan
Plan Japanese-language prompts, evidence reviews, and repeat measurement for a fictional brand entering Japan.
Reading Netpeak’s Reported AI-Channel Revenue Case
A review of an externally reported ecommerce case, with AI-channel revenue separated from total revenue and observed changes separated from causation.
Reviewing Chemours’ Reported AEO Program
An external case analysis that separates a website and content program from claims about one tactic causing pipeline or revenue.
AI Search Conversions: Read the Business, Cohort, and Metric
What Ahrefs’ own signup data and external business reports can—and cannot—tell a merchant about AI referrals.
What is AEO? A Guide to Answer Engine Optimization
Understand AEO and GEO through mentions, citations, factual accuracy, and a repeatable process for improving product information.
AEO vs SEO: What Changed and What Didn't
Compare search and AI-answer measurements, share the technical groundwork, and use consistent product evidence across both workflows.
How to Read the Evidence Behind AI Product Recommendations
Separate observed answers and cited sources from assumptions about hidden algorithms. Compare products across engines, markets, and languages.
Choose your next task.
Follow the guides from setup to checking a result.
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