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 + 1 desktop loads, cross-checked against real Chrome users from Google's field data. 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.
Layout stays put as it loads.
No JavaScript errors on load.
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.
Tiny buttons are hard to tap on mobile
Some links cannot be followed by Google
Add quotations so AI engines cite this page
Page is heavy and slow on mobile data
Main content is slow to appear on phones
No email capture or newsletter detected
3 small changes, on the pages people actually land on: Tiny buttons are hard to tap on mobile; Page is heavy and slow on mobile data; Main content is slow to appear on phones. We re-measure the same samples after.
01Findings, ranked by what hurts conversion most
| Severity | Finding | How we know |
|---|---|---|
| High | Tiny buttons are hard to tap on mobileMobileAccessibility (WCAG)Conversion 28 of 52 tappable items on this page (54%) measure under 24 pixels on their shorter side, below the 24px floor WCAG 2.5.8 sets for accessibility and well under the platform minimums (Apple recommends 44pt, Android 48dp) for reliable tapping, and the same ones came up small on every test load. When visitors can't hit what they expect to, they get frustrated and many of them leave instead of trying again. The exact elements we found: paste into Claude, Cursor, or ChatGPT | |
| Medium | Page is heavy and slow on mobile dataBothPerformance Each visit downloads about 2.2 megabytes, roughly 2189 KB of images and 0 KB of JavaScript across 33 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 | 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 | Some links cannot be followed by GoogleBothSEO Links that are not real anchors with an href cannot be crawled, so the pages they point to may never get indexed. 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 | |
| Medium | Main content is slow to appear on phonesBoth For the slowest quarter of real Chrome visitors, the largest visible item on this page takes 3.6 seconds to show up. Google's "good" threshold is 2.5 seconds, and this misses it. That number is also one of the signals Google uses to decide where to rank your page in search. paste into Claude, Cursor, or ChatGPT | real-user field data |
| Low | 3 potential dead-click targetsBothConversionAccessibility (WCAG)Tracking Elements styled like buttons but with no anchor, no <button> wrapper, no role="button", and no click attribute. Real visitors tap these expecting something to happen, then leave. Examples on this page: "Read more" (span.brxe-plabos), "Read more" (span.brxe-plabos), "Read more" (span.brxe-plabos). The exact elements we found: 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 modern Referrer-Policy (the current one leaks full URLs to other sites). 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 | 10 generic CTA links/buttons ("Click here", "Learn more", "Submit")BothAccessibility (WCAG)Conversion Screen-reader users hear a list of "click here, click here, learn more" with no context. Sighted users learn nothing about where the link goes from the label alone. Rewrite each CTA to describe the destination ("See pricing", "Read the case study"). The exact elements we found: paste into Claude, Cursor, or ChatGPT | |
| Low | 4 interactive elements have no stable, accessible identityBothAccessibility (WCAG)Tracking These elements are clicked like buttons but expose no accessible name, or are a plain div/span used as a control with no role. Assistive tech announces only a role (or nothing), and analytics and heatmaps have no human-readable label or stable selector to bind the click to, so the click is both inaccessible and untrackable, and any redesign silently breaks click aggregation. Give each one a real <button>/<a>, an aria-label, and a stable id or data-attribute. The exact elements we found: paste into Claude, Cursor, or ChatGPT | |
| Low | Headings skip levelsBothAccessibility (WCAG) Skipping a heading level breaks the document outline that screen readers and search engines rely on. On this page the outline jumps to an H3 without the level above it, at "$7B+". Lighthouse flagged 2 headings out of order. 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) | 54 ms | 44 ms | Lab |
| FCP (lab median) | 168 ms | 264 ms | Lab |
| LCP (lab median) | 168 ms | 264 ms | Good |
| Page weight (median) | 2.2 MB | 2.2 MB | Watch |
| Real LCP (p75, origin) | 3.6 s | Needs work | |
| Real INP (p75) | n/a | ||
| Real CLS (p75) | 0.00 | Good | |
Google Lighthouse (lab): Performance 68 mobile / 86 desktop, SEO 85, Accessibility 92, Best Practices 100.
Lab numbers are from a headless mobile browser on an unthrottled connection: treat them as a floor, not a typical experience.
03Tiny buttons are hard to tap on mobile
28 of 52 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 20x10 "Skip to main content"
- a 20x10 "Skip to footer"
- button 20x16 "Open mobile menu"
- button 16x48 "Purchase Sub menu"
- button 16x48 "Refinance Sub menu"
- button 16x48 "Resources Sub menu"
- button 16x48 "About Sub menu"
- a 188x15 (no visible label)
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 | Austin Capital Mortgage | TX Top Mortgage Brokers Since ‘96 (59 chars) |
| Meta description | 139 chars |
| H1 | 1 on page |
| Canonical | Present |
| Structured data (JSON-LD) | 1 block(s) |
| Open Graph | Title + image |
05The fix checklist
Everything to fix, priority first, each tagged with the screen it affects and a rough effort. Work top to bottom.
- Tiny buttons are hard to tap on mobileMobileCSS only
- Page is heavy and slow on mobile dataBothSmall
- No email capture or newsletter detectedBothVaries
- Some links cannot be followed by GoogleBothVaries
- Add quotations so AI engines cite this pageBothVaries
- No advertising pixel detectedBothDev afternoon
- Main content is slow to appear on phonesBothSmall
- 3 potential dead-click targetsBothCSS only
- Security headers are missing or weakBothVaries
- 10 generic CTA links/buttons ("Click here", "Learn more", "Submit")BothVaries
- 4 interactive elements have no stable, accessible identityBothDev afternoon
- Headings skip levelsBothVaries
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 austincapitalmortgage.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 + 1 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, except the CrUX rows, which are real Chrome users. 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.