1. Configure the brand as buyers think of it
Create one brand for each market. A shop that sells in two countries has two sets of questions, competitors, and sources. If you merge them, you get one unclear average. Read Create your first brand.2. Make topics from purchase questions
Do not use product categories. Use the questions that people ask before they buy. “Best running shoes for flat feet” is a topic. “Footwear” is not a topic. Get these questions from what customers ask your support team. If you connected Search Console, also get them from Search Console.3. Run conversations, then read the answers
Read the answers before you look at the scores. For retail, examine these three items:- Do answer engines name you?
- Do they name specific products, or only the shop?
- Which sources do they cite: review sites, YouTube, Reddit, or retailer guides?
4. Work on the product layer
Retail has a step that software does not have: individual products occur in answers. Product visibility shows which of your products occur. The readiness work for agentic commerce is important here. Structured and complete product data makes a product quotable.5. Correct the sources, not only the site
Ecommerce answers use third parties very much: reviews, comparison guides, and creator videos. Channels and authors gives the names of the specific YouTube channels and subreddits that have an effect on your category. That is your outreach list.6. Measure what is important to you
“Be recommended for [your category] on ChatGPT in the UK” is a Business Scorecard goal. Visibility across all topics is not such a goal.What usually has an effect
In this order:- Accurate and complete product data.
- A presence on the review sites that answer engines already cite.
- One useful buying guide that answers a cluster of questions.
- Corrections to third-party pages that describe you incorrectly.