What your site is actually doing.
One page: what is working, what is costing you visitors, and what to fix next. A phone-and-desktop teardown of the live site: 4 phone loads + 2 desktop loads. No login, no insider access, no Harvv pixel needed. The full evidence is at the bottom.
Working
What's already working. These held up across every load.
Speed is good.
No JavaScript errors on load.
Lighthouse scores SEO 92/100. The fundamentals Google looks for are present.
Lighthouse accessibility is 96/100, so screen-reader and contrast basics are largely handled.
Nothing spilled past the edge at either 390px (phone) or 1366px (desktop), so the structure is responsive.
Costing you
Ranked by what hurts conversion most. Full evidence below.
A floating widget is covering a clickable element
Add quotations so AI engines cite this page
Google Analytics tracking broken
Page is heavy and slow on mobile data
Unused JavaScript is being downloaded
Unused CSS is being downloaded
2 small changes, on the pages people actually land on: A floating widget is covering a clickable element; Page is heavy and slow on mobile data. We re-measure the same samples after.
This is one of several oil refiner sites we tore down the same way. The same friction repeats on Par Pacific, and we pulled the cross-site pattern together in the oil-refiner web benchmark.
01Findings, ranked by what hurts conversion most
| Severity | Finding | How we know |
|---|---|---|
| High | A floating widget is covering a clickable elementBothConversionAccessibility (WCAG) 8 clickable elements are sitting underneath a fixed overlay (p#cm__desc over a "Learn More About Valero"), so a visitor who tries to tap them hits the widget on top instead. The element is there and looks fine in a preview, it just can't be reached. Move the floating widget to a clear corner, lower its z-index, or add spacing so it never overlaps your links and buttons. The exact elements we found: paste into Claude, Cursor, or ChatGPT | |
| Medium | Page is heavy and slow on mobile dataBothPerformance Each visit downloads about 3.7 megabytes, roughly 3170 KB of images and 421 KB of JavaScript across 26 separate downloads. On a fast connection that's fine. On a phone with patchy mobile data, that's several seconds of blank screen before the page is readable. paste into Claude, Cursor, or ChatGPT | median across loads |
| Low | Unused JavaScript is being downloadedBothPerformance Code that never runs on this page still costs download and parse time on every visit. Splitting or removing it speeds up load. Lighthouse measured: Est savings of 194 KiB. paste into Claude, Cursor, or ChatGPT | |
| Low | Unused CSS is being downloadedBothPerformance Style rules that this page never uses still block rendering while they download. Trimming them frees the paint path. Lighthouse measured: Est savings of 72 KiB. paste into Claude, Cursor, or ChatGPT | |
| Low | No email capture or newsletter detectedBothConversion No email input field was found in the page, and no email-marketing tag (Klaviyo, Mailchimp, Substack, ConvertKit, Beehiiv, MailerLite, ActiveCampaign, Omnisend, Brevo, Drip or Buttondown) was detected. A form that loads after JavaScript runs, or one behind a popup or a separate page, will not be visible to this check. If capturing visitors is relevant to this site, an email signup builds an owned audience you keep regardless of ad costs. Not every site needs one. paste into Claude, Cursor, or ChatGPT | |
| High | Add quotations so AI engines cite this pageBothAI SearchSEO Generative engines (ChatGPT, Perplexity, AI Overviews) lift sourced, attributed quotes almost verbatim, and quotations are the single strongest citation lever (studies measure roughly +41%). Add 1-2 attributed expert quotes or blockquotes to the pages below. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.) paste into Claude, Cursor, or ChatGPT | |
| Low | No advertising pixel detectedBothTracking Analytics is present but no Meta/Google/TikTok ad pixel was found. If you run paid ads, conversion tracking should be installed before the next campaign so the platforms can optimize toward buyers, not clicks. paste into Claude, Cursor, or ChatGPT | |
| High | Google Analytics tracking brokenBothTrackingConversion The Google Analytics request failed to complete on every one of the 4 test loads. If real visitors hit the same failure, GA is missing those visits and the dashboard has no way to flag it. Conversion numbers, audience counts, and channel attribution are all undercounting. Worth checking the tag loading order and any consent banner that might be blocking the request. paste into Claude, Cursor, or ChatGPT | |
| Low | Links to this page will look bare when sharedBoth The page is missing its Open Graph title and image, so when someone shares it on Facebook, LinkedIn, iMessage, or Slack the preview has no title and image. A flat grey link gets far fewer clicks than one with an image and headline. paste into Claude, Cursor, or ChatGPT | |
| Low | No structured data for rich search resultsBoth The page has no schema.org markup. Adding the right type (Product, Article, Organization, FAQ) lets Google show rich results like star ratings and prices, which lift click-through for free. paste into Claude, Cursor, or ChatGPT | |
| Low | No llms.txt fileBothSEO No /llms.txt. Optional: some AI tools read this file (Anthropic, Vercel, Stripe, Cloudflare and Hugging Face publish one, and AI coding assistants use it to find docs), so adding one is a cheap courtesy to them. Google has said in writing that Google Search and its AI features do not use llms.txt, so do not expect a search-ranking or AI Overviews benefit from it. paste into Claude, Cursor, or ChatGPT | |
| Low | No Organization or WebSite schemaBothSEO No site-wide Organization or WebSite structured data found on any crawled page. This is the schema that tells Google and AI engines who you are (name, logo, social profiles) for the knowledge panel and brand recognition in AI answers. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.) paste into Claude, Cursor, or ChatGPT | |
| Low | Security headers are missing or weakBothSecurity The server response is missing browser-hardening headers that protect visitors and are a standard security and agency checklist item. Missing or weak here: a stronger HSTS policy (max-age at least 180 days plus includeSubDomains). These are set at the server, CDN, or host level (most platforms expose them in settings or a config file) and do not change how the site looks or performs. paste into Claude, Cursor, or ChatGPT | |
| Low | Some links do not describe where they goBothAccessibility (WCAG)Conversion Links like "click here" or "read more" tell screen-reader users and search engines nothing about the destination. Lighthouse measured: 1 link found. paste into Claude, Cursor, or ChatGPT |
Accessibility findings are automated checks against Web Content Accessibility Guidelines (WCAG) 2.1 and 2.2. They flag potential barriers and legal risk, not a certification or a determination of compliance with the ADA, Section 508, or EN 301 549. Automated testing catches only a subset of issues; a full conformance review needs manual and assistive-technology testing by a qualified reviewer.
"How we know": unlabeled = a deterministic fact, identical on every load (e.g. element sizes). Most findings are this kind, so we only mark the exceptions: median across loads = a noisy lab metric, reported as a median. real-user field data = Google CrUX, actual Chrome visitors.
Structural and AI-search checks crawl up to 8 pages from your sitemap (a sample, not your full site). "Broken" means a link returned 404, 410, or 5xx, or did not respond; access-controlled pages (401, 403) are not counted.
02Performance: phone, desktop, and real visitors
| Metric | Mobile | Desktop | Read |
|---|---|---|---|
| TTFB (lab median) | 43 ms | 23 ms | Lab |
| FCP (lab median) | 234 ms | 224 ms | Lab |
| LCP (lab median) | 320 ms | 338 ms | Good |
| Page weight (median) | 3.7 MB | 9.4 MB | Watch |
Google Lighthouse (lab): Performance 60 mobile / 75 desktop, SEO 92, Accessibility 96, Best Practices 96.
Lab numbers are from a headless mobile browser on an unthrottled connection: treat them as a floor, not a typical experience. Add a Google API key to light up real-user field data (CrUX) and Lighthouse scores.
03Tiny buttons are hard to tap on mobile
4 of 32 tappable items on this page come in below the platform minimums for reliable tapping on a phone (Apple recommends 44pt, Android 48dp; WCAG 2.5.8 sets 24px as the hard accessibility floor). The same ones came up small on every one of the 4 test loads, so this is the page itself, not a fluke.
The buttons measuring below the minimum on this scan:
- a 1x1 "Skip to main content"
- a 65x19 "Home"
- a 79x19 "Contact Us"
- a 29x17 "here"
The fix is CSS-only on most sites: add padding around the icon (don't just change the icon size) so the actual tap area is at least 44×44 pixels. No redesign, no new assets.
04Technical SEO & structured data
| Check | Result |
|---|---|
| Title | Valero | Advancing the Future of Energy (39 chars) |
| Meta description | 246 chars |
| H1 | 1 on page |
| Canonical | Present |
| Structured data (JSON-LD) | None |
| Open Graph | Incomplete |
05The fix checklist
Everything to fix, priority first, each tagged with the screen it affects and a rough effort. Work top to bottom.
- A floating widget is covering a clickable elementBothCSS only
- Page is heavy and slow on mobile dataBothSmall
- Unused JavaScript is being downloadedBothVaries
- Unused CSS is being downloadedBothVaries
- No email capture or newsletter detectedBothVaries
- Add quotations so AI engines cite this pageBothVaries
- No advertising pixel detectedBothDev afternoon
- Google Analytics tracking brokenBothDev afternoon
- Links to this page will look bare when sharedBoth1 line
- No structured data for rich search resultsBothVaries
- No llms.txt fileBothVaries
- No Organization or WebSite schemaBothVaries
- Security headers are missing or weakBothVaries
- Some links do not describe where they goBothVaries
Effort is a rough read from the outside: "CSS only" means no new assets or backend work, "1 line" means a single tag, "Dev afternoon" means a developer needs to touch tracking or scripts.
06What this report cannot tell you
Everything above is from the outside, looking at the page on a simulated phone and desktop. The questions that actually decide revenue need real visitors. Install the Harvv pixel (one script tag, 16 KB, zero personal data, no engineering project) and within about 72 hours you'd know which buttons real customers tapped and missed, how often Google Analytics is missing visits, and exactly where mobile shoppers stalled and left. This report shows you where to look. The pixel shows you how often it happens, and to whom.
Drop the Harvv pixel on valero.com and we turn this one-off scan into ongoing measured behavior: which taps miss, where sessions stall, and the real drop rates. Free to start, no card needed.
Add the pixel free07How we did this, and what it can't prove
- 4 mobile + 2 desktop loads of one URL from headless Chrome (iPhone viewport at 390px, desktop at 1366px), August 31, 2026. Enough loads to separate real defects from random noise, not a full-site crawl.
- Lab numbers, not real-user numbers (no field data was available for this run). Real devices on real networks run slower.
- Friction is inferred, not counted. We can prove a button is small. We can't, from the outside, count how often it causes a missed tap. That requires the pixel on a live page.
About Harvv, the source of this teardown
Harvv is a behavioral UX analytics platform (harvv.com). A lightweight JavaScript pixel captures how real visitors behave on a site (dead clicks, rage clicks, scroll depth, Core Web Vitals, JavaScript errors, and 50+ other signals) and the engine turns them into prioritized, plain-English findings. This teardown is the outside-in version of that: the same detectors run against a public page, with no pixel installed.
How to read it. Every finding here is a reproducible, automated measurement, not an opinion: element sizes, contrast ratios, load metrics, and structured-data checks that anyone can re-run against the same URL. The method is stated in full above. Automated testing catches a subset of issues, so this is a starting point, not a certification.
Full disclosure. Harvv makes the pixel that would measure the friction these findings imply, so we have a commercial interest. That is exactly why the findings are kept to things a reader can verify independently, and why nothing here is inflated: an unreproducible claim would undermine the tool it is meant to demonstrate.
Prepared by Harvv (harvv.com), a behavioral UX analytics platform. Last updated August 31, 2026.