Tactical Guide · Updated October 2026

You already have an SEO suite or an AI visibility tracker. Who does the work?

Monitoring tools tell you where you show up in ChatGPT and where you are missing. The question that follows is who does the work in the catalog, the feeds and the product pages. This guide lays out what the tools report, what the report asks for next, who typically owns each step and how Paz experts take the work that follows a report.

By Paz.ai Team · Published 2026-10-16

What monitoring and SEO tools report

Prompt tracking, brand mentions, citation share, rank data and crawl health, plus the free platform reports from Google, Bing and Merchant Center. All of it describes where you stand.

Most teams we talk to already have one or more of these:

  • Prompt tracking. A set of prompts run on a schedule across ChatGPT, Google AI Mode, Perplexity and others, with a record of whether your brand or products appeared.
  • Mentions and citation share. How often the answer names you, how often it links to you, and how that compares with the brands that appear for the same prompts.
  • Rank and crawl data. Classic SEO suite output: positions, impressions, technical issues, content gaps.
  • Platform reports. The Search Console generative AI performance report for impressions in Google's AI features, the Bing Webmaster Tools AI Performance report for pages Copilot cites, and AI performance insights in Google Merchant Center for how your products show up for conversational shopping questions in AI Mode and AI Overviews.

This is useful. It is also a description of the present. Every line in it is a finding, and a finding is the start of a task.

What the report asks for next

Behind each missed answer is a product information gap: a missing attribute, a vague title, an unanswered shopper question, a feed disapproval, a page that contradicts its feed. That is where the work is.

Take a typical finding: for the question "best waterproof hiking boots for wide feet," a competitor appears in ChatGPT and Google AI Mode and you are missing. Reading the answer and your own product information usually points to one of these:

  • The wide-fit variants carry no fit attribute in Google Merchant Center or the OpenAI feed, so the assistant has nothing to match on.
  • The product page says "all-terrain comfort" and never says waterproof, so the crawled text answers a different question.
  • Part of the collection is disapproved in GMC for a price or identifier mismatch, so it is out of the eligible set.
  • Nobody has written the answer to "does this run wide" anywhere a shopper or an assistant can read it.

Each of these is catalog, feed or product page work. The tool found it. Someone now has to decide which products matter most, write the attribute or the answer from a source the brand trusts, publish it where it lives, and check that the next feed sync and the next answer picked it up.

Who typically owns each step

The report sits with the SEO lead or agency. The fixes sit across catalog, merchandising, feed and development owners, usually as a growing list for a lean team.

  • SEO lead or SEO agency. Owns the tool, reads the report, sets content strategy and often writes blog and category copy. Product-level attributes and feeds are usually a separate scope.
  • Ecommerce or catalog team. Owns product titles, descriptions, attributes and Q&A in the platform or PIM. Also owns launches, promotions and every other task of the week.
  • Feed owner. Owns GMC and the other channel feeds, clears disapprovals, maps fields.
  • Developers. Own templates, structured data and page performance.

The gap buyers describe is between the first row and the rest. One head of ecommerce put it plainly: she had access to all of this through her suite and wished she had someone who would just do that for her. The report is read, the list is made, and the catalog work waits behind the launch calendar. That is what makes the question who does the work the real one.

How Paz experts take the work that follows a report

Paz reads your tool reports and the platform reports next to your catalog, Merchant Center and analytics, then our experts fix the product information behind each gap and track what happened.

Paz is built for the second half. You keep your SEO suite, your tracker and your agency. Here is what happens with the report:

  1. Read together. Paz reads your tool's findings and the Google, Bing and GMC reports next to your catalog, feeds, analytics and search data, against your selling priorities and buyer personas.
  2. Prioritize. Our experts pick the gaps that matter: products with margin and stock, questions shoppers actually ask, collections you are pushing this season.
  3. Write from your sources. Attributes, titles, descriptions and Q&A are drafted from your catalog, PIM, supplier information and existing pages, in your voice and within your claims guidelines.
  4. Ship within the guidelines you approve. Approved field types publish to your storefront, GMC and the OpenAI feed. Anything outside the guidelines, and any source disagreement, comes to you first.
  5. Track it. Appearances per assistant and AI-referred traffic are recorded against the baseline, and the next report reflects the changes.

Your tracker keeps reporting. Paz closes the loop between what it reports and what changes in the catalog. See the AI visibility service and the product content service for the deliverables.

A working rhythm

Monthly: the report comes in, the prioritized list is agreed, the fixes ship, the measurements are read. Repeat.

In practice the month looks like this. Your tool and the platform reports refresh. Paz turns the misses into a prioritized list of product information fixes and shares it. Our experts ship the fixes within the guidelines you approved at the start and bring the exceptions to you. The following report shows what moved, and the list for the next month starts from there. If your SEO agency is writing content on the same topics, the product-level answers Paz writes give them a consistent source to link to.

Frequently asked questions

Our SEO agency says it covers AI visibility now. What should they be doing?+
Ask for four things: a tracked set of the questions shoppers ask with appearances per assistant, the product-level gaps behind each miss, the fixes shipped to product pages and feeds with dates, and the follow-up measurement. Most agencies are strong on the first and on editorial content. The product information work in the catalog, Merchant Center and the OpenAI feed is where Paz usually comes in, and the two fit together.
Can we keep our monitoring tool and our SEO agency?+
Yes. Paz reads the reports they produce and takes the catalog, feed and product page work that follows. Your tool keeps measuring, your agency keeps its content and technical scope, and Paz reports its own appearance tracking per assistant so you can compare.
What does Paz need from our tool reports?+
Access to the prompt set and the appearance history is enough to start. Paz also reads Search Console, Bing Webmaster Tools, Google Merchant Center and GA4 directly, and runs its own tracked set of the questions shoppers ask, so the work can begin before any export.
How is this different from the SEO work we already pay for?+
SEO work targets pages and rankings. This work targets the product information an assistant reads when it decides which products to name: attributes, identifiers, availability, shopper questions and answers, and feed health across ChatGPT, Google and the others. The two share product pages, so they reinforce each other, and the measurement is per assistant.

Related

Have a report and no one to act on it?

Send us what your tool shows. Our experts turn the misses into fixes in your catalog, feeds and product pages, ship within the guidelines you approve and track what moves.

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