How to Improve Product Detail Page Conversion (2026 Guide)

TL;DR

Product detail page (PDP) conversion hinges on three things: removing uncertainty at the decision moment, building confidence through proof and policies, and keeping the buy action visible and fast. Only about 49% of ecommerce sites have decent PDP UX according to Baymard Institute research, which means most stores have low-hanging fixes waiting. This guide covers 22 specific, evidence-backed changes for Shopify, D2C, and Amazon PDPs, complete with placement rules, impact estimates, pitfalls, and testing tips.

Why PDP Conversion Deserves More Attention Than Your Checkout

Most conversion rate optimization conversations focus on checkout. That’s a mistake. The product detail page is where shoppers decide whether they want something at all. It’s the centerpiece of the purchase decision, the moment where curiosity either becomes intent or bounces.

Baymard’s large-scale research confirms this: the PDP is where users assess value, evaluate fit, look for proof, and check costs. And yet roughly half of all ecommerce sites still underperform on PDP basics. That gap is your opportunity.

Understanding how to improve product detail page conversion means thinking beyond button colors. It means structuring information so every common objection gets answered before the shopper scrolls away. It means making the page fast enough that they never have to wait. And increasingly, it means making the page readable by AI systems, not just humans.

For a deeper walkthrough of foundational PDP principles, see the full product page best practices and PDP optimization guide.

Here’s what actually moves the needle.

At-a-Glance: Top PDP Conversion Tactics Compared

Tactic	Why It Works	Impact	Difficulty	Test Length
Above-the-fold clarity	Users decide fast; key info must be visible immediately	High	Low	7-14 days
Image upgrades + zoom	Shoppers rely on visuals to evaluate size, quality, fit	High	Medium	14-21 days
Shipping/returns near CTA	60% of users look for return info on PDP	High	Low	7-14 days
Reviews + Q&A	Up to 95% of users rely on reviews	High	Medium	21-30 days
Sticky ATC (mobile)	Keeps buy action visible during scroll	Medium-High	Low	14 days
Size/fit guides	84% of apparel shoppers use size info	High (apparel)	Medium	14-21 days
Page speed optimization	1-second load converts ~3x vs 5 seconds	High	Medium-High	Ongoing
Structured data / schema	Enables rich results and AI visibility	Medium	Medium	N/A (SEO)
Amazon A+ Content	Up to 8% (Basic) or 20% (Premium) sales lift	High (Amazon)	Medium	30+ days
Ad-to-PDP alignment	Reduces bounce from messaging mismatch	Medium-High	Low	14-21 days
Variant UX improvements	Reduces confusion and abandonment	Medium	Medium	14 days
Performance governance	Prevents speed/clarity gains from decaying	Medium	Low	Ongoing

The 22 Fixes

1. Make Above the Fold Do the Heavy Lifting

What to change: Show the product title, price, primary image, average star rating with review count link, the key variant selector, one primary CTA, and a one-line delivery/returns promise together in the first viewport. Nothing else needs to compete for that space.

Why it works: Users form impressions in seconds. Baymard’s PDP research consistently shows that sites scattering these elements across the page lose shoppers before any scrolling happens. The above-the-fold area is where the “should I stay?” decision gets made.

Pitfalls: Cramming too much above the fold is just as bad as showing too little. Practitioners on Reddit’s Shopify growth community report that clutter near CTAs hurts conversion, not helps it. On mobile, this is especially true because screen space is scarce.

How to test: Screenshot your PDP on a phone without scrolling. If the price, rating, and CTA aren’t all visible, rearrange. A/B test the current layout against a tightened version for 14 days.

2. Upgrade Imagery With More Angles, In-Scale Shots, and Working Zoom

What to change: Include 6 to 8 images minimum on D2C stores. Mix product-only shots with lifestyle/context images and at least one “in-scale” photo showing the product next to a familiar object or on a person. Map variant selections to matching images so color/size swaps update the gallery. On Amazon, ensure images are 1600px or larger on the longest side for optimal zoom.

Why it works: Shoppers can’t touch your product. Baymard finds that users actively try to infer size from photos, making in-scale shots critical. Amazon’s own Product Detail Page Guide states that “zoom has been shown to help enhance sales” and recommends 1600px+ images for optimal zoom functionality, with 1000px as the minimum.

Pitfalls: Large image files, 360-degree viewers, and 3D assets can destroy page speed. Practitioners on Reddit report that removing a heavy 3D viewer actually improved conversion because pages loaded faster. Always check load times after adding media.

How to test: Start by adding in-scale shots to your top 10 products. Compare conversion rates over three weeks against the previous period.

3. Put Shipping Cost, Delivery Date, and Returns Promise Beside the CTA

What to change: Display “Arrives by [date range]” or “Ships in X days” directly next to Add to Cart. Include a concise “30-day free returns” statement (or link to the full policy) in the same zone. If you offer free shipping above a threshold, state the threshold near the price.

Why it works: Baymard’s consumer research shows that 60% of users look for return policy information on the product page. Hiding shipping costs until checkout is one of the most documented causes of cart abandonment. Surfacing the lowest shipping cost or estimate on the PDP is a direct recommendation from their research, yet 32% of sites still bury free shipping info in banners.

Pitfalls: Delivery promises must be accurate. Merchants on Reddit discuss the need to calculate estimated delivery dates by variant, stock status, and holiday windows to avoid confusion and support tickets.

How to test: Add an EDD near the CTA on a subset of products and compare conversion and support ticket volume against a control group.

4. Use Reviews and Q&A Strategically

What to change: Place a summary (average rating plus total review count) near the product title as a clickable anchor that scrolls to full reviews. Put filterable, sortable detailed reviews lower on the page. Enable Q&A. Actively encourage photo and video reviews.

Why it works: Baymard finds that up to 95% of users rely on reviews during purchase decisions. Vendor data from platforms like PowerReviews suggests that interactions with reviews markedly increase conversion, and Q&A content sometimes converts even better than reviews for complex or technical products.

Pitfalls: Review volume and recency matter more than perfect scores. A product with three 5-star reviews from last year looks less trustworthy than one with 200 mixed reviews from last month. Don’t overclaim review impact without noting that most published lift numbers come from vendor datasets.

How to test: A/B test the placement of the review summary (near title vs. only below the fold) over two weeks.

5. Tighten Product Copy by Leading With Outcomes

What to change: Write a 2 to 4 sentence benefit paragraph that answers “what will this do for me?” Follow it with scannable bullets for features and exact specs. For technical products, add a tabular specs block.

Why it works: CXL and Baymard both recommend scannability over dense prose. Shoppers skim. They want the outcome first (“keeps drinks cold for 24 hours”), then the mechanism (“double-wall vacuum insulation”), then the specifications (“holds 32oz, weighs 14oz”). Portent’s research found that readability directly correlates with ecommerce conversion.

Pitfalls: Overlong product descriptions push the CTA below the fold on mobile. If your copy requires scrolling past three paragraphs to reach Add to Cart, it’s too long for the primary view.

How to test: Rewrite the top five product descriptions in benefits-first format. Compare bounce rate and conversion against originals.

6. Give Size and Fit Superpowers

What to change: Place a “Size guide” link directly adjacent to the size selector, not buried in a footer. Include model measurements (“Model is 5’10”, wearing size M"), fit notes (“runs small, size up”), and conversion charts between sizing systems. Show in-scale images on models.

Why it works: Baymard’s research shows 84% of participants used size information when it was available. Human model imagery helps shoppers evaluate fit in ways flat-lay photos can’t.

Pitfalls: Generic size charts (S/M/L with no measurements) are barely better than no chart at all. Include actual measurements in inches and centimeters.

How to test: Track return rates by reason code alongside conversion. A good size guide should lift conversion and reduce “wrong size” returns simultaneously.

7. Fix Variant UX So Shoppers See What’s Available

What to change: Use swatches or buttons for color/style variants. Visibly disable out-of-stock combinations (greyed out, not hidden). Switch the hero image when a shopper selects a different variant.

Why it works: Clear variant selection reduces abandonments. This pattern is supported across Baymard’s PDP guidelines and platform documentation. When shoppers click “Blue” and see a blue product, confidence rises. When they click “Blue” and nothing changes, doubt creeps in.

Practitioner perspective: For products with many customization options, Shopify merchants on Reddit report that splitting complex configurators into a separate build flow improved both page speed and conversion. The main PDP stayed clean, and the builder loaded only when needed.

How to test: If you have products with more than five variant combinations, test a simplified PDP against the current version.

8. Add a Mobile Sticky Add-to-Cart (and Test It)

What to change: Keep a compact purchase bar visible as users scroll on mobile. Include the price, a condensed variant selector if needed, and the Add to Cart button. Hide it when the main CTA section is already in the viewport.

Why it works: Multiple A/B tests and practitioner reports show consistent conversion lifts when the buy action stays visible on mobile. Most mobile PDP sessions involve significant scrolling through images and reviews, and without a sticky bar, the CTA disappears for most of the session.

Pitfalls: Sticky bars that overlap size guides, review sections, or image galleries frustrate users. Practitioners on Reddit’s Shopify growth community report that poorly implemented sticky CTAs can actually hurt conversion. Use proper offsets and conditional visibility logic.

How to test: Implement on mobile only, with a 14-day A/B test. Watch add-to-cart rate and also scroll depth to make sure the bar isn’t discouraging exploration.

If you’re running these tests across multiple PDPs and checkout flows, a structured CRO testing approach helps prioritize which experiments to run first.

9. Use Comparison Blocks When Products Are Close Substitutes

What to change: Add a short comparison table when shoppers must choose between similar SKUs (different sizes of the same appliance, different formulations of the same supplement, etc.). Compare on 3 to 5 key dimensions.

Why it works: Comparison tables reduce pogo-sticking, where shoppers bounce between product pages trying to figure out the difference. Shopify’s optimization guidance supports this approach, and Amazon’s A+ Content includes a dedicated comparison chart module that performs well in complex catalogs.

Pitfalls: Don’t compare against competitors on your own site. Compare your own products to help shoppers pick the right one. The goal is decision confidence, not marketing claims.

How to test: Add comparison tables to product categories with the highest pogo-stick rates (check internal search data and navigation patterns).

10. Treat Video, 3D, and AR as Conditional Accelerators

What to change: Add short demo videos (under 60 seconds) that address the top purchase objection for a product. Test 3D or AR only for products where spatial understanding matters (furniture, large equipment). Lazy-load all rich media.

Why it works: Shopify has promoted strong conversion lifts from 3D/AR in specific categories. When a shopper needs to understand how something fits in their space, AR closes a real information gap.

Pitfalls: Rich media is heavy. Many practitioners see speed hits and zero lift when the underlying PDP fundamentals (images, copy, trust signals) are weak. Merchants on Reddit report that removing heavy 3D widgets improved sales because the speed improvement outweighed whatever the 3D viewer added.

How to test: Add video or 3D to a small product set and monitor both conversion rate and Core Web Vitals. If page speed regresses meaningfully, the feature is costing you sales.

Not sure where your PDP performance stands? A free brand audit can identify speed bottlenecks and quick wins across your product pages in under a week.

11. Speed Hardening: Compress Images, Tame Scripts, Watch Third-Party Weight

What to change: Optimize all PDP images (WebP/AVIF, appropriate dimensions, lazy loading below the fold). Audit JavaScript bundles and remove blocking app scripts. Monitor Core Web Vitals monthly. Pay special attention to third-party tools: Yottaa’s ecommerce technology index shows that individual third-party tools can add 70 to 377ms each to load time, and UGC widgets, review tools, and A/B testing scripts are common culprits.

Why it works: Portent’s speed research found that a site loading in 1 second converts roughly 3x better than one loading in 5 seconds. Speed isn’t a “nice to have.” It interacts with every other PDP element on this list. A perfect product page that loads slowly is a slow product page.

Pitfalls: Speed improvements decay without governance. New apps get installed, images get uploaded without compression, scripts accumulate. Treat speed like inventory: check it regularly.

How to test: This isn’t a standard A/B test. Run Lighthouse or PageSpeed Insights on your top 20 PDPs, fix the worst offenders, and track conversion rate by device before and after.

12. Make Your PDP AI-Consumable With Structured Data and FAQs

What to change: Implement Product schema with offers, priceCurrency, and availability. Add AggregateRating and Review markup where eligible. Include OfferShippingDetails for merchant listing enhancements. Where you have common product questions, add FAQPage schema.

Why it works: Google requires Product structured data for product snippets in search results. But increasingly, PDPs also need to be consumable by AI shopping agents and large language models. Practical Ecommerce recently framed this as the next frontier: PDPs that are machine-readable entities, not just pretty pages, will capture traffic from AI-mediated shopping experiences.

Pitfalls: Structured data must match visible page content. Don’t mark up a price in schema that differs from the displayed price. Google will penalize or ignore mismatched markup.

How to test: Validate with Google’s Rich Results Test. Monitor Search Console for product snippet impressions and clicks over 30 to 60 days.

13. Surface Stock Status and Estimated Delivery Dates

What to change: Show “In Stock” or “Ships in X days” clearly. For made-to-order or pre-order items, state the timeline explicitly. Adjust delivery windows by variant, location, and holiday calendars where possible.

Why it works: Ambiguity at the decision moment kills conversion. Merchants on Reddit discuss how showing accurate delivery dates by variant reduces support tickets and cancellations. “In Stock” is a trust signal. “Ships in 2 business days” is even better.

Pitfalls: An inaccurate delivery promise is worse than no promise at all. If you can’t calculate EDD reliably, show shipping speed ranges instead (“usually arrives in 3-5 business days”).

How to test: Add EDD to high-traffic PDPs and compare conversion rate and post-purchase support inquiries.

14. Put Trust Indicators Near the Action, Not Buried in the Footer

What to change: Place security badges, accepted payment icons, and money-back guarantee callouts near the CTA and cart area. Don’t scatter them randomly across the page.

Why it works: Trust signals work through proximity. A security badge at the bottom of a 4,000-word page does almost nothing. The same badge next to “Add to Cart” reinforces the decision at the moment it matters. Practitioners on Reddit’s ecommerce community note that social proof (reviews, user photos) often outperforms generic trust seals, but real policy-backed guarantees near the CTA remain effective.

Pitfalls: Five different trust badges create visual noise. Pick the one or two that matter most to your audience (free returns, secure checkout, satisfaction guarantee).

How to test: A/B test a CTA area with and without trust indicators. 14 days is usually sufficient.

15. Elevate Q&A, Not Just Reviews

What to change: Let shoppers ask questions and see answered questions directly on the PDP. Implement voting or “most helpful” sorting. Have your team answer questions quickly, ideally within 24 hours.

Why it works: PowerReviews data indicates that Q&A content can have a higher conversion impact than reviews for certain product categories, particularly technical, high-consideration, or unfamiliar products. Q&A addresses specific objections that generic reviews may not cover.

Pitfalls: Unanswered questions look worse than no Q&A section at all. If you add this feature, commit to monitoring and responding.

How to test: Enable Q&A on a category and track conversion lift and bounce rate changes over 30 days.

16. Provide Price Clarity With Full-Cost Context

What to change: Show price per unit or per serving where meaningful (supplements, bulk goods, consumables). Don’t hide required add-ons or accessories that are necessary for the product to function. If there’s a subscription discount, show both the one-time and subscription price.

Why it works: Baymard advises showing price-per-unit to prevent early-stage abandonment. Shoppers who feel tricked by hidden costs don’t just abandon the product. They abandon the store.

Pitfalls: “Starting at” prices that require upsells to reach the expected product erode trust fast.

How to test: Add per-unit pricing to consumable PDPs and monitor conversion and average order value.

17. On Amazon, Follow Image and Title Rules to Avoid Suppressions

What to change: Use a pure white background for the main image. Fill at least 85% of the frame with the product. Upload images at 1600px or more on the longest side for optimal zoom (1000px minimum to enable zoom at all). Keep titles concise, include relevant keywords, and avoid prohibited terms or excessive capitalization.

Why it works: Amazon’s own guide explicitly ties zoom to sales impact, stating that “zoom has been shown to help enhance sales.” Non-compliant images can trigger listing suppression, which means zero conversion.

Pitfalls: Title keyword stuffing triggers suppression risk and looks spammy. Amazon’s algorithm weighs relevance, not just keyword presence.

How to test: Upgrade images on your five lowest-performing ASINs and track Unit Session Percentage over 30 days. For a complete Amazon keyword and listing approach, see this Amazon SEO strategy guide.

18. On Amazon, Publish A+ Content and Brand Story

What to change: Create Basic A+ Content for all ASINs. If eligible, apply for Premium A+ (requires Brand Registry). Build a Brand Story module that appears across your catalog. Use comparison charts, lifestyle imagery, and benefit-focused copy.

Why it works: Amazon states that Basic A+ can increase sales by up to 8%, and Premium A+ by up to 20%. These are Amazon’s own published claims, so treat them as ceiling estimates, but even conservative lifts justify the effort.

Pitfalls: Generic A+ that repeats bullet points adds nothing. The content should address objections and expand on use cases, not just reformat existing copy.

How to test: Use Amazon’s Manage Your Experiments to A/B test A+ versions. Amazon claims brands using this tool can see up to 25% sales increases from optimization. Track Unit Session Percentage as your north-star metric. Practitioners on Reddit’s FBA community report real movement in Unit Session % after tightening A+ content.

For a full walkthrough of A+ strategy, read the Enhanced Brand Content on Amazon guide. If you need hands-on help with listing optimization, A+ Content, or ad governance, EZCommerce’s Amazon services team manages this end to end.

19. Make Variant-Level Images and Copy Indexable

What to change: Ensure image alt text and filenames include variant descriptors (“blue-ceramic-mug-12oz.webp,” not “IMG_4823.webp”). Map color swatches to the correct images programmatically. Expose key specs in HTML text, not embedded in images only.

Why it works: Search engines can’t read text inside images. Variant-specific alt text and HTML copy help your products appear in long-tail searches (“blue ceramic mug 12oz”) and improve rich result eligibility. This aligns with CXL’s guidance on scannability and accessibility.

Pitfalls: Keyword-stuffed alt text (“blue mug blue ceramic mug best blue mug”) triggers spam signals. Write for humans first.

How to test: Update alt text on a product category and monitor organic impressions for variant-specific queries over 60 days.

20. Align Ad Promises to PDP Reality

What to change: Mirror the exact value proposition and hero image from your paid ad on the PDP header. If the ad says “50% off first order,” the PDP should confirm that immediately. If the ad features a specific product photo, that photo should be the first thing shoppers see.

Why it works: Cognitive dissonance between ad and landing page increases bounce rates. Practitioners on Reddit’s ecommerce community report sizable customer acquisition cost drops when ad-to-PDP messaging aligns tightly.

Pitfalls: This requires coordination between media buyers and the ecommerce team. If those functions are siloed, messaging drift is almost guaranteed.

How to test: Audit your top five ad creatives against their destination PDPs. Fix mismatches and track bounce rate and ROAS over two weeks. For a broader view of connecting paid and organic strategy, see how to build a paid and organic search strategy that keeps messaging consistent.

21. Test Systematically on Both D2C and Amazon

What to change: On D2C (Shopify, WooCommerce), run structured A/B tests on hero copy, image order, sticky ATC visibility, EDD placement, and review positioning. On Amazon, use Manage Your Experiments to test titles, images, and A+ Content versions.

Why it works: Intuition is unreliable. What “should” work often doesn’t, and changes that seem minor (image order, for example) can produce surprising lifts. Systematic testing turns PDP conversion improvement from guessing into compounding gains.

Pitfalls: Tests need sufficient traffic and duration to reach statistical significance. Running a test for three days on a low-traffic product tells you nothing.

How to test: Prioritize tests by expected impact and traffic volume. Start with high-traffic PDPs and changes that are easy to implement. A framework for running CRO Suite tests across PDPs and checkouts can help structure the cadence.

22. Keep Performance Governance in Place

What to change: Set up weekly monitoring for Core Web Vitals, PDP conversion rate by device, and scroll depth on key products. Audit third-party script weight quarterly. Create alerts for image weight regressions (when someone uploads an uncompressed 8MB photo). Review structured data validation monthly.

Why it works: Every fix on this list will decay without ongoing attention. New apps, new images, new copy, seasonal changes, and platform updates all introduce regression. Portent’s research and broader industry data show that sustained conversion gains require continuous performance management, not one-time sprints.

Pitfalls: Governance sounds boring. It is. But the brands that maintain high-converting PDPs are the ones checking their numbers every week, not every quarter.

How to test: This isn’t testable in the traditional sense. Build a dashboard, assign owners, and review weekly.

Amazon vs. Shopify: What’s Different on the PDP

Most of the 22 fixes above apply across platforms, but a few key differences matter.

Amazon:

• You don’t control the page layout. Your levers are titles, bullets, images, A+ Content, Brand Story, and the backend search terms field.
• Unit Session Percentage is your conversion KPI. Track it in Business Reports.
• Image compliance (white background, zoom-ready resolution, no prohibited text overlays) isn’t optional. Non-compliance gets your listing suppressed, and a suppressed listing converts at zero.
• Manage Your Experiments is Amazon’s built-in A/B testing tool. Use it.
• The product ranking factors on Amazon tie directly to listing quality, so PDP improvements compound with ad efficiency.

Shopify/D2C:

• You control everything: layout, scripts, speed, trust signals, checkout flow.
• That control is both a strength and a risk. More freedom means more ways to break things.
• Core Web Vitals affect organic rankings, PPC quality scores, and user experience simultaneously.
• Review and Q&A widgets need careful vetting for script weight.

How to Stack Wins: A Governance Rhythm

Improving product detail page conversion is not a project. It’s a practice. Here’s a sustainable weekly rhythm:

1. Monday: Check PDP conversion rate by device for top products. Flag anything that dropped more than 10% week over week.
2. Wednesday: Review Core Web Vitals and page speed for recently updated PDPs.
3. Friday: Check A/B test results. Ship winners. Queue the next test.
4. Monthly: Validate structured data. Audit third-party script impact. Review EDD accuracy and return rate by reason code.
5. Quarterly: Full PDP content audit. Update imagery, copy, and review responses. Reassess Amazon A+ performance.

For brands scaling across both Amazon and D2C, this kind of discipline is where growth compounds. A D2C growth strategy that includes PDP and checkout CRO alongside media execution keeps all the levers moving together.

The work described in this article is exactly what it takes to improve product detail page conversion in a lasting way: not a single redesign, but a system of continuous clarity, speed, and trust optimization.

Ready to find out which of these 22 fixes will move the needle fastest for your brand? Request a free brand audit and get a prioritized 90-day action plan, or get in touch to scope a PDP and checkout sprint.

For the bigger picture on scaling growth beyond PDPs, explore DTC marketing strategies to scale your brand.

Frequently Asked Questions

What is a good product detail page conversion rate?

It depends heavily on your category, price point, device mix, and traffic source. A PDP receiving mostly paid social traffic will convert differently than one getting branded search traffic. Rather than chasing a universal benchmark, track your own baseline by device and traffic source, then measure improvement against that baseline. The goal is always to move your number up, not to hit someone else’s.

Should I add 3D or AR to my product pages?

Test it only if it answers a genuine top objection (like “will this fit in my space?” for furniture) and only if it doesn’t degrade page speed. Shopify has reported strong lifts in some categories, but merchants also report that heavy 3D assets hurt conversion when they slow the page down. Measure both conversion rate and load time together.

How do I improve product detail page conversion on Amazon specifically?

Focus on the levers you control: high-resolution images (1600px+), keyword-optimized titles and bullets, Basic or Premium A+ Content, and Brand Story. Use Manage Your Experiments to A/B test content. Monitor Unit Session Percentage as your primary conversion metric. Image compliance alone can make or break visibility.

Does page speed really affect PDP conversion that much?

Yes. Portent’s analysis found that a 1-second page load converts at roughly 3x the rate of a 5-second load. Speed affects everything from bounce rate to SEO rankings to PPC quality scores. It’s one of the highest-ROI fixes on this list.

Where should I place shipping and return information on a product page?

Next to the Add to Cart button. Baymard’s research shows 60% of users look for return policy on the PDP, and burying shipping costs until checkout is a top driver of abandonment. A one-line summary near the CTA with a link to the full policy works well.

What’s more important for PDP conversion: reviews or Q&A?

Both matter, but they serve different functions. Reviews provide social proof and general confidence. Q&A addresses specific objections. For technical or unfamiliar products, Q&A can have a higher conversion impact. The best approach is to have both, with the review summary near the title and detailed reviews plus Q&A lower on the page.

How long should I run an A/B test on a product page?

At minimum two weeks, and only on pages with enough traffic to reach statistical significance. Low-traffic PDPs may need 30 days or more. Ending tests early based on early results is one of the most common mistakes in PDP optimization.

What is an “AI-consumable” product page?

It means structuring your PDP so AI systems (Google’s shopping features, LLM-powered shopping agents, voice assistants) can read and understand your product data. This involves proper Product schema markup, FAQ schema for common questions, and keeping key information in HTML text rather than locked inside images. As AI-mediated shopping grows, pages that are machine-readable will capture more traffic.