An agentic commerce readiness checklist for peak season
Learn how to prepare product data, price synchronisation, checkout flow and stock information for SI shopping agents before November sales and the holidays.
Agentic commerce readiness for the year-end campaign season means making product data, price and stock synchronisation, the checkout flow and campaign information accurately readable by SI shopping agents before November sales and holiday shopping begin. The biggest difference this year is that a significant share of users’ gift and deal research happens on SI surfaces such as ChatGPT, Gemini and Google AI Mode. In its holiday season updates published in September 2026, Google emphasised that shoppers are increasingly turning to SI to discover products, compare options and make buying decisions. On these surfaces, agents compare prices, check delivery times, verify stock status and, in some cases, complete checkout directly. A brand that updates its price on the website during campaign week but forgets the feed, or keeps showing a product as “in stock” after it sells out, can drop out of the agent’s recommendations on the busiest sales days. This checklist brings together the preparations to complete before the season starts, the indicators to monitor daily during campaign weeks and the data to keep at the end of the season.
What makes this season different from previous years?
What sets this season apart is that SI surfaces no longer just recommend products; they are directly connected to the purchase step. Google announced that the Universal Commerce Protocol enables direct checkout on Google surfaces for hundreds of thousands of brands and retailers. Retailers such as Tapestry integrated UCP-powered checkout to sell Coach and Kate Spade products in Search, including AI Mode, and in the Gemini app. On the OpenAI side, the ChatGPT Ads Shopify app is opening to other markets where ChatGPT Ads is available from 23 September, allowing ads and performance tracking with products connected through Shopify Catalog.
Some of these developments are still US-focused; the new cart transfer and checkout flow testing capabilities in the UCP integration hub are rolling out first in the US, followed by Australia and Canada early next year. For brands in Türkiye, however, most of the preparation is platform-independent: the data agents read consists of the same core information regardless of the surface. A store with accurate prices, up-to-date stock and clear delivery and return terms gets considered, whichever agent arrives. Because November sale days and New Year gift-giving make up the busiest e-commerce period of the year in Türkiye, this foundation needs to be in place by October.
What state should product data be in before the campaign starts?
Product data should be complete, consistent and able to carry campaign prices on time at least two weeks before the campaign begins. According to data Google shared, merchants adopting core Merchant Center feed best practices see an average 5 percent increase in conversions the following month. Building this foundation before the season amplifies the effect of all other work during the campaign period.
The following product data checks should be completed before the campaign:
- Identifiers: GTIN, MPN and brand information should be complete; agents use these to match the same product across different sellers.
- Title and description: Should describe what the product is and its most distinctive features in the language users use.
- Technical attributes: Structured fields such as size, colour, material, dimensions and compatibility should not be left empty.
- Sale price fields: Discounted prices and their validity dates should be defined in the feed before the campaign.
- Campaign structure: In ChatGPT Ads, product feed campaigns and ad groups can be created in bulk from a spreadsheet; a category-based structure can be prepared with this template before the season.
- Shipping and return information: Campaign-specific delivery times and extended return terms should be reflected in the feed and on product pages.
- Q&A and variant fields: Common gift-shopping questions about size exchanges, gift wrapping and delivery dates should be answered in advance.
- Loyalty data: Member prices and perks such as free shipping should be connected to Merchant Center; Google states this data highlights member benefits across Google surfaces.
- Video links: Product videos should be added using the feed’s video link attribute; Google explains that this field automatically powers visual, shoppable ad formats.
Which systems should change price at the same time when the campaign starts?
When the campaign starts, the price should change at the same moment on the website, in product feeds, in structured data and in marketplace listings. Agents can read and compare prices from multiple sources, not just one. A product that appears discounted on the site but sits at the old price in the feed can lead the agent to treat that inconsistency as a trust issue. Conversely, a product that appears discounted in the feed but opens at full price on the site disappoints users at the cart and can cause product approval issues.
This synchronisation should not be left to campaign night. Defining sale prices and validity dates in the feed in advance ensures the price change happens automatically the moment the campaign starts. The same discipline should apply when the campaign ends; an expired discount left in the feed produces inconsistent price signals in the days after the campaign. We cover how to mark up campaign data in a separate guide; for this checklist, the critical point is managing price changes across all systems from a single calendar.
Which obstacles stop agents at checkout?
The main obstacles that stop agents at checkout are mandatory registration, bot verification screens, unclear payment options and extra fees that appear during checkout. An agent shopping on a user’s behalf, or guiding a user to checkout, cannot complete the process when it hits one of these obstacles and may turn to a seller offering a smoother flow. In peak season, every incomplete checkout is a direct lost sale.
The following questions should be answered for the checkout flow before the season: Can users check out as guests? Are shipping fees and any additional service charges clearly visible before checkout, on the product page and in the feed? Are bot protection solutions configured in a way that blocks legitimate shopping agents and payment protocols? For merchants using UCP-powered checkout, the checkout flow testing capability Google added to the integration hub makes it possible to test some of these questions before the season. Even though this capability is not yet available in Türkiye, the same checks can be done with manual test scenarios.
What does an agent see when a product sells out?
When a product sells out, the agent sees the latest stock information published in the feed and on the site, and how current that information is determines the accuracy of the recommendation. On campaign days, best-sellers can sell out within hours. In a setup where the feed updates once a day, an agent may keep recommending a sold-out product for hours; when the user reaches the site, the product is not there. This experience affects both that sale and trust in the brand.
For peak season, stock update frequency should be increased, and API-based methods that allow real-time or very frequent updates should be preferred for critical products. Just as important as updating stock quickly is making sure the product page does not leave users stranded. Information such as similar product suggestions, a pre-order option or a restock date clarifies the next step for both the user and the agent.
Which indicators should be checked every day during campaign weeks?
During campaign weeks, price and stock consistency, product approval status, checkout completion rate and SI-driven traffic should be checked every day. These indicators make it possible to spot a problem before it turns into lost sales. The table below summarises where each indicator is monitored and the first action to take when a deviation appears.
| Indicator | Monitoring Source | First Action When a Deviation Appears |
|---|---|---|
| Number of disapproved or flagged products | Merchant Center product diagnostics | Resolve warnings caused by price and stock mismatches first |
| Rejected products in ChatGPT Ads | Product review status in the Ads Manager Products tab | Fix the rejection reason and resubmit the product data |
| Price gap between site and feed | Sample-based manual checks or automated price monitoring | Check the price synchronisation calendar and feed update timing |
| Sold-out products still shown as “in stock” | Comparison between the stock system and the feed | Increase update frequency for critical products |
| Checkout completion rate | Analytics tool and payment provider reports | Review error logs at checkout and bot protection logs |
| SI-driven sessions and conversions | A channel group in GA4 that separates SI sources | If there is a drop, check price and stock data for the related product groups |
| Ad and feed-based campaign spend | Google Ads and ChatGPT Ads reports | Pause related groups if spend is going to sold-out products |
Which data should be carried into next year when the season ends?
When the season ends, teams should record which products received how much traffic and how many sales from SI surfaces, which price and stock problems occurred and which questions users asked agents. This data grounds next year’s preparation in real experience instead of estimates. In particular, questions received by customer service and return reasons during campaign weeks are a direct source for the content to add to the feed’s Q&A fields and product pages in the next season.
As part of its GEO consulting, Webtures treats the year-end season not as a one-off campaign, but as an annual stress test of the brand’s readiness on SI shopping surfaces; data inconsistencies experienced during the season are turned into priorities on the agent-readiness roadmap. When the products a brand is recommended with in gift- and deal-focused prompts are tracked comparatively before, during and after the season with a GEO tool such as Brantial, it also becomes possible to measure how campaign preparation actually translates into visibility in SI answers. This comparison also clearly shows which product groups need an earlier start next season.
