Guide

How to win. Get found. Get chosen.

A practical 90-day plan for product data, useful content, creative proof and measurement, with clear actions and where QuickAds helps.

The short answer

Build a repeatable system around one buying problem: accurate product facts, useful answers, credible creative proof and a tested path to purchase. Start with a small product group, measure the baseline, ship the gaps and use the results to choose the next test.

Key takeaways

  • Pick a buying situation. Start with priority products and real customer questions.
  • Fix contradictions first. The page, feed and variant should tell the same story.
  • Make the proof useful. Demonstrate the difference a shopper is trying to understand.
  • Measure distinct outcomes. Mentions, citations, accurate listings and sales are separate signals.

Start with one buying problem and a small set of priority products. Give the team a practical sequence: fix the facts, answer the questions, create convincing proof and check the path to purchase.

QuickAds connects creative research, strategy, production and campaign learning. Use the plan below to decide what to ship, who owns each step and what evidence will justify the next investment.

The measured gap

Classic search and AI Mode are different shelves.

Productrise compared 2M+ listings across 100k+ SERPs in the US and UK, 9–31 August 2026, running the same queries on both surfaces on the same day.

Products ranking in both
1.28%
Matched products with a different main seller
49.6%
AI Mode price premium on matched products
21.6%

Median, classic search

$100

Median, AI Mode

$149

Source: Productrise, August 2026. Google surfaces, not a forecast for any individual catalog.

Three surfaces

Ranking in ChatGPT means three different jobs.

Each is fed by a different system. Winning one does nothing for the other two, and they need different owners.

01

Written answers

Fed by live retrieval plus training memory. Won with crawler access, quotable pages and third-party coverage.

Content and SEO
02

Product results

Fed by your merchant feed and the Agentic Commerce Protocol. Won on feed quality and checkout integration.

Ecommerce and ops
03

Sponsored placement

Bought in OpenAI's Ads Manager, or through Amazon DSP. Budget and targeting rather than content.

Paid media

Two standards

Same four asks, different front doors.

Strip out the vocabulary and both protocols want the same things from a merchant. That overlap is why sequencing beats choosing.

ACP

OpenAI and Stripe · reaches ChatGPT

UCP

Google · reaches Google surfaces

  • A catalog a machine can parse, one row per sellable variant
  • Price and availability that are true right now
  • A programmatic way to confirm a cart, priced by you
  • An order lifecycle you can report back on

You stay merchant of record under both. The shared work takes a quarter; the protocol-specific work takes weeks.

The division of labour

Shopify hands you the structure. You fill it.

Ships with the platform
  • Structured product record
  • A real variant model
  • Standard product taxonomy
  • Category attributes
  • Product JSON-LD in default themes
  • Server-rendered Liquid templates
Still on the merchant
  • Category, often unset or too shallow
  • Variant option names that map
  • Barcode and identifiers
  • Metafield definitions
  • Literal description style
  • robots.txt.liquid decisions

The contract

What a machine-readable video carries.

VideoObject served in the page HTML rather than injected by JavaScript. These are the properties worth getting right.

namedescriptioncontentUrlembedUrlthumbnailUrluploadDatedurationtranscriptcaptionhasPartpublisher

Plus the association: point VideoObject.about at the product entity, or Product.subjectOf at the video, with matching @id values.

How agentic shopping works

From shopping request to shortlist

An illustrative journey. Not every shopping agent follows these steps, and not all support autonomous payment.

“Rain jacket for a Seattle trip next Thursday, under two hundred dollars, medium, nothing neon.”

At a glance

Classic SEO and LLM SEO are different games

Classic SEOLLM SEO
Unit of competitionA URL ranked for a keywordA passage quoted inside an answer
Query shapeTwo to four wordsA full sentence carrying budget, constraints and context
Result setTen results the reader chooses betweenOne answer naming three to five sources
VolatilityPositions hold for weeksThe same prompt can return different brands within the hour
Winning assetThe pageThe paragraph that still makes sense cut out of the page
MeasurementA rank trackerA fixed prompt panel you rerun and score

In this guide

Choose one commercial problem to solve
Build a question set worth answering
Make the important pages easy to reach
Turn product data into usable buying facts
Publish evidence that helps someone decide
Create proof for the moment of choice
Connect discovery to a working purchase path
Run a 90-day plan with decision points
Use a scorecard that leads to action
Where QuickAds helps you execute

Choose one commercial problem to solve

Start with a product family and a buying situation. “Improve AI visibility” is too broad to brief, ship or measure. “Help shoppers find our carry-on when they need a lightweight bag for a three-day trip” gives the team a useful constraint.

Pick 10–20 priority products with healthy stock, reliable fulfilment and a clear reason to buy. Write down the margin, audience, common alternatives and questions that prevent a purchase. Use support tickets, sales calls, reviews and your own search data.

Ship: a one-page brief naming the audience, buying situation, priority products, owner and success measure. Owner: the ecommerce or growth lead. A narrow first test makes the next decision easier.

Build a question set worth answering

Write 20 questions covering discovery, comparison and reassurance. Keep the wording customers use. Include constraints such as budget, dimensions, material, compatibility or delivery destination.

  • Discovery: “A light carry-on for a three-day work trip.”
  • Comparison: “Hard shell or soft shell if I often fly small aircraft?”
  • Reassurance: “Will this bag fit the airline’s stated cabin allowance?”

These are illustrative prompts, not measured search volumes. Save a baseline across the assistants and search surfaces your customers use. Record the answer, cited URLs, products, date and session context. Then map each unanswered question to one useful page or product improvement.

Ship: a question-to-page map with a specific gap beside every row. Avoid creating a near-identical page for every wording variation.

Make the important pages easy to reach

Check the actual product and guide URLs before commissioning more content. Do they load without signing in? Is the main information readable? Can a visitor follow a normal link to them? Are canonical, indexing and crawler settings intentional?

Give the technical owner a short defect list with one URL, observed problem and expected outcome per item. Validate changes in the relevant search tools and server logs. Separate crawler access from training permissions; use each platform’s current documentation when setting policies.

Google says existing SEO practices remain relevant to its AI features. It does not require special AI markup or an llms.txt file for visibility. Read Google’s guidance.

Ship: resolved access and indexing defects on the priority URLs. Eligibility helps a page be considered; it does not promise inclusion.

Turn product data into usable buying facts

For each priority product, compare the store, feed and displayed result. Check the identifier, parent and variant relationship, price, currency, availability, destination link and correct image. Then add the attributes a buyer actually filters on.

For our carry-on example, that means external dimensions including wheels, weight, capacity, material, warranty and wheel type. Keep an airline-compatibility claim qualified and maintained rather than making a universal promise.

Shopify Catalog can distribute eligible product information to AI channels. Custom fields and grouping logic may need mapping, so inspect the exported result instead of assuming the admin field is enough. See Shopify’s mapping guidance.

Ship: a checked product record and a named owner for future price, stock and policy updates. Accuracy is an operating habit.

Publish evidence that helps someone decide

Replace broad superiority claims with useful answers. Show the measurement method, a worked example, a real limitation and the source behind a changing fact. A comparison should explain who each option suits.

For the bag, publish a photographed packing test, a dimensions guide and a warranty explanation. State which model was tested and when. If an independent reviewer covers it, link to the original coverage without turning their opinion into a guarantee.

Put the answer near the question, use descriptive headings, and link to the relevant product. Keep important facts consistent between visible copy and structured data. Google recommends original, useful content and clear organisation; there is no mandatory paragraph length for AI answers. Source.

Ship: one strong decision page and the product-page fixes it exposes.

Create proof for the moment of choice

Give every asset a job. A clean product image helps someone identify the item. A close-up makes a feature inspectable. A short demo answers an objection. A creator explains the use case in words the buyer recognises.

Brief three concepts from the same question: show the bag under a seat, pack it for three days, and compare the space taken by the handle mechanism. These are different ideas to test, not colour changes to one ad.

Keep variant, dimensions and claims accurate. Add captions and a useful text summary. Use stable media URLs and appropriate video metadata; do not assume a file upload alone makes a video discoverable. Google’s video guidance explains the technical checks.

Ship: an asset set tied to named products and buyer questions, ready for the channels in the brief.

Connect discovery to a working purchase path

Follow the journey a customer would take. Open the suggested product, choose the intended variant, confirm delivery and returns, and continue to checkout. Record the first point where the promise and the experience disagree.

OpenAI’s current merchant guidance prioritises discovery with purchases completed on merchant-owned websites or apps. It says Shopify and Etsy catalogs are integrated; other merchants can apply to share a feed. Check current availability for your platform and market before planning an integration. Read the merchant guidance.

Paid advertising, organic mentions and product discovery need separate reporting. A paid placement does not prove an organic recommendation, and a mention does not prove a sale.

Ship: a tested path from discovery to the correct product and a clear next action.

Run a 90-day plan with decision points

Days 1–14: establish the baseline. Choose the products, collect the question set, inspect the purchase path and assign owners. Keep screenshots and record the settings used for each test.

Days 15–30: fix the foundations. Resolve access problems, contradictory product facts, missing attributes and incorrect destination links. Recheck the same products.

Days 31–60: ship useful proof. Publish the decision page, improve the priority PDPs, and produce the demonstration and comparison assets. Distribute them through relevant owned channels and genuine creator partnerships.

Days 61–90: compare and decide. Repeat the question panel under similar conditions. Review mentions, citations, product accuracy, referred sessions and commercial results separately.

Decision: expand what shows a useful signal; repair what remains wrong; stop activity that creates volume without helping the buyer.

Use a scorecard that leads to action

Keep five measures: sampled answer mentions, sampled citation share, correct product facts, referred visits and completed commercial actions. Show raw counts alongside percentages. “4 of 20 prompts” is more interpretable than an unexplained visibility score.

Record assistant, model or mode when available, date, market, login context and prompt wording. Repeat selected prompts because outputs can vary. Treat the panel as a directional sample, not a market-wide ranking.

Add a change log. If a product description, campaign and price changed together, you cannot attribute the result to one edit. Use a comparable group of unchanged products where practical, and inspect returns or lead quality as well as volume.

Ship: a weekly page of evidence ending with three decisions: what to fix, what to test and what to stop.

Where QuickAds helps you execute

QuickAds connects creative intelligence, strategy, production and campaign management. The useful starting point is a brief built around the questions and objections your buyers have.

  • Intelligence and strategy: turn category and creative research into a shortlist of angles, demonstrations and claims worth testing.
  • Production: make product images, videos and creator content from the approved brief, with a consistent brand and product reference.
  • Creator partnerships: source suitable creators and coordinate outreach, briefs and deliverables through the influencer agent.
  • Campaign learning: use the available performance evidence to shape the next creative batch.

Agree the scope of catalog work, publishing and measurement at the start, including who owns the commerce integration. Creative production alone does not guarantee an AI citation, a position or a sale.

Bring to the first call: your store URL, priority products, three buyer questions and examples of the creative you already run. Plan the next test with QuickAds.

Quick readiness check

Can an agent actually read your catalog?

Eight checks drawn from this guide. Tick what is already true for your catalog.

0 of 8Tick the checks that apply

Frequently asked questions

No items found.

Make these in QuickAds

{"@context":"https://schema.org","@graph":[{"@type":"WebPage","@id":"https://www.quickads.ai/topic-pages/how-to-win#webpage","url":"https://www.quickads.ai/topic-pages/how-to-win","name":"How to Win in AI Search and Agentic Commerce"},{"@type":"Article","headline":"How to win. Get found. Get chosen.","description":"A practical 90-day plan for product data, useful content, creative proof and measurement.","datePublished":"2026-09-21","dateModified":"2026-09-21","author":{"@type":"Organization","name":"QuickAds Editorial Team"},"publisher":{"@type":"Organization","name":"QuickAds","url":"https://www.quickads.ai/"},"mainEntityOfPage":{"@id":"https://www.quickads.ai/topic-pages/how-to-win#webpage"}},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.quickads.ai/"},{"@type":"ListItem","position":2,"name":"Agentic commerce","item":"https://www.quickads.ai/topic-pages/agentic-commerce"},{"@type":"ListItem","position":3,"name":"How to win","item":"https://www.quickads.ai/topic-pages/how-to-win"}]}]}