--- title: "Get chosen on the product page" description: "Win the sale twice, on the machine that builds the shortlist and the shopper on your product page. Conversion and agent-readiness work on a stack you own." canonical: "https://www.pollyester.com/services/get-chosen" --- [Pollyester](https://www.pollyester.com/index.md) › [Services](https://www.pollyester.com/services.md) › Get chosen on the product page Services we provide Get chosen Get found & get chosen # You have to win the sale twice now. A shopper still lands on your product page and decides. But more often there's a machine in front of them, assembling the shortlist from your product data before a human ever sees the page. We build for both, because a small lift in conversion is real revenue on traffic you already have. [Get your agent-readiness score →](https://www.pollyester.com/contact.md) [See all services →](https://www.pollyester.com/services.md) ![You have to win the sale twice now.](https://www.pollyester.com/services/get-chosen/banner.dark.webp) How it runs today A/B tests on the human funnel What breaks The agent builds the shortlist and never opens your page What you get A product record that wins the machine and the shopper The shift ## The shortlist is being built by a machine. The old way Winning the sale meant optimizing a person's path: test the page, tune the offer, watch the funnel. That's still real work, and it still pays. The AI-era shift But more of the shortlist is now assembled by a machine before the shopper ever arrives, and that machine doesn't look at your page. It reads your product data. If the record is thin, you're out before the human gets a say. So the work is winning twice: get picked by the machine, then close the shopper on a site you own. Often the shortlist is settled before anyone sees your page. What we actually do ## The work, made concrete. 01 ### Agent-readiness audit We start by reading your catalog the way an agent does: is the product data complete, do the reviews and ratings travel with it, do price and stock say the same thing everywhere. What comes back is a scored list of exactly where the machine loses you. 02 ### Product page & conversion rebuild Then the human side. Pages that load fast, offers and pricing that make sense, and a reviews system that keeps compounding on its own. Unglamorous work, and it's what moves the number. 03 ### Right-sized personalization Personalization tools are easy to buy and easy to waste. We add one only where it demonstrably moves the number, and we're just as happy to tell you to skip it. 04 ### Experimentation as a function A testing operation your team runs after we step back, with honest rules about what counts as a win, so the improvements don't stop when we do. 05 ### Content that reads to both Product and comparison pages written for the shopper and structured for the machine, so the same page does both jobs without your team writing everything twice. Proof ## The math that decides it. The machine skips what it can't read. Run almost any catalog with real SKU depth past an answer engine and the same gap shows up: a slice of the products carry complete, machine-readable data, and the rest rarely make the shortlist, no matter how well the page converts once a shopper lands. Closing that gap is conversion work on traffic you already paid for. That's the number this work exists to move. The first step The same read we run on AI visibility, pointed at your catalog: how complete your product data is, whether your reviews, prices, and stock read the way an engine needs them to, scored SKU by SKU. You see exactly where the machine loses you before you fix anything. [Get your agent-readiness score →](https://www.pollyester.com/contact.md) What we move ## What we watch on conversion. Climbing Conversion rate by device and by source, against your own baseline, because a small lift here is real revenue on the same traffic Earned Personalization lift measured tool by tool, kept only where it pays for itself Every SKU Machine-readable catalog product data, reviews, price, and stock complete across the whole catalog, not a sample Passing Page speed fast enough that neither the shopper nor the systems ranking you hold it against you Benchmarks and targets, not guarantees. We baseline yours first. How we work ## How the engagement runs. 3. 01 ### Diagnose We baseline your numbers and map the operation end to end, so the work targets a real leak, not a hunch. 4. 02 ### Prioritize We rank the opportunities by dollars of impact and effort, and agree on what to do first. 5. 03 ### Build We build the real thing in production (for you, or alongside your team) against a measured baseline. 6. 04 ### Prove We hold the work against a holdout or benchmark, so the lift is proven, not asserted. 7. 05 ### Hand over Documentation, dashboards, and an accountable owner on your team, so the work keeps running without us. ## Where this connects [Get found & get chosen Get found An agent can't pick a brand it never surfaced. Discovery is the front door to all of this. →](https://www.pollyester.com/services/get-found.md) [Build the agent-ready core Build the agent-ready core Everything here rests on the product data and plumbing underneath. That's the core, and it's its own piece of work. →](https://www.pollyester.com/services/build-the-agent-ready-core.md) ## See where the machine loses you. The agent-readiness score is the honest place to start. We read your catalog the way the machines do and show you what they see, and what they skip. From there you'll know what's worth fixing first, and whether we're the ones to fix it. [Book a working session →](https://www.pollyester.com/contact.md) [See how we work →](https://www.pollyester.com/engagement.md) ## Related services - [Get found](https://www.pollyester.com/services/get-found.md) - [Build the agent-ready core](https://www.pollyester.com/services/build-the-agent-ready-core.md) - [All services](https://www.pollyester.com/services.md) --- ## Pollyester — site navigation Primary: [Services](https://www.pollyester.com/services.md) · [Work](https://www.pollyester.com/work.md) · [Partners](https://www.pollyester.com/partners.md) · [About](https://www.pollyester.com/about.md) · [Ideas](https://www.pollyester.com/blog.md) Company: [About](https://www.pollyester.com/about.md) · [Careers](https://www.pollyester.com/careers.md) · [Contact](https://www.pollyester.com/contact.md) · [How a project runs](https://www.pollyester.com/process.md) · [Engagement](https://www.pollyester.com/engagement.md) Services: [Get found](https://www.pollyester.com/services/get-found.md) · [Get chosen](https://www.pollyester.com/services/get-chosen.md) · [Grow the customer](https://www.pollyester.com/services/grow-the-customer.md) · [Earn advocacy](https://www.pollyester.com/services/earn-advocacy.md) · [Pick, pack & ship](https://www.pollyester.com/services/pick-pack-ship.md) · [Order orchestration](https://www.pollyester.com/services/order-orchestration.md) · [Cost optimization](https://www.pollyester.com/services/cost-optimization.md) · [Build the agent-ready core](https://www.pollyester.com/services/build-the-agent-ready-core.md) · [Brand & identity](https://www.pollyester.com/services/brand-identity.md) · [Creative & art direction](https://www.pollyester.com/services/creative-art-direction.md) · [Content & campaigns](https://www.pollyester.com/services/content-campaigns.md) · [Video & media](https://www.pollyester.com/services/video-media.md) · [Storefront & product](https://www.pollyester.com/services/storefront-product.md) · [Experiential & activations](https://www.pollyester.com/services/experiential-activations.md) · [Events & retail](https://www.pollyester.com/services/events-retail.md) · [Design & build](https://www.pollyester.com/services/design-build.md) Legal: [Privacy](https://www.pollyester.com/privacy.md) · [Terms](https://www.pollyester.com/terms.md) Full index: [llms.txt](https://www.pollyester.com/llms.txt) — the markdown map of the site.