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 100/100. The fundamentals Google looks for are present.
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
Some text is low-contrast and hard to read
Tiny buttons are hard to tap on mobile
Page is heavy and slow on mobile data
Images have no width or height set (layout is stable for now)
3 small changes, on the pages people actually land on: A floating widget is covering a clickable element; Tiny buttons are hard to tap on mobile; Page is heavy and slow on mobile data. We re-measure the same samples after.
01Findings, ranked by what hurts conversion most
| Severity | Finding | How we know |
|---|---|---|
| High | A floating widget is covering a clickable elementBothConversionAccessibility (WCAG) A clickable element is sitting underneath a fixed overlay (div.container over a "Get a Quote"), so a visitor who tries to tap it 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 | Tiny buttons are hard to tap on mobileMobileAccessibility (WCAG)Conversion 10 of 40 tappable items on this page (25%) 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 3.5 megabytes, roughly 2683 KB of images and 2 KB of JavaScript across 14 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 | Images have no width or height set (layout is stable for now)BothPerformanceSEO 2 of 3 images don't declare width and height. Your layout currently stays stable (measured Cumulative Layout Shift is 0, which is fine), most likely because space is reserved another way (CSS), so this is not causing visible jumps today. It is still worth setting explicit dimensions or a CSS aspect-ratio so a slow connection or a future style change cannot reintroduce shift. The exact images we found: 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 18 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 1 pages from your sitemap, a partial crawl rather than your full site.) paste into Claude, Cursor, or ChatGPT | |
| Low | Search-result title will be cut offBothSEO The title is 73 characters; Google truncates around 60. Front-load the important words so nothing useful gets clipped. paste into Claude, Cursor, or ChatGPT | |
| Low | No third-party analytics tag detectedBothTracking No Google Analytics, GA4, or other third-party analytics tag was found in the page. If you rely only on platform or server-side analytics that is fine; but if not, a third-party tag is the baseline way to see how many visitors arrive, where they come from, and what converts. First-party or server-side analytics are not detectable from the outside, so this may already be handled. paste into Claude, Cursor, or ChatGPT | |
| Low | No robots.txt fileBoth No /robots.txt. Search engines check it first for crawl rules and your sitemap location. Without one, crawlers fall back to defaults and may miss your sitemap. 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 | |
| High | Some text is low-contrast and hard to readBothAccessibility (WCAG) Text that does not stand out enough from its background is hard to read for many visitors, and fails accessibility guidelines Google checks. 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: HSTS (Strict-Transport-Security, which forces HTTPS on return visits). 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 | 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 H4 without the level above it, at "International Standards Compliance". Lighthouse flagged 4 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) | 307 ms | 298 ms | Lab |
| FCP (lab median) | 966 ms | 764 ms | Lab |
| LCP (lab median) | 966 ms | 764 ms | Good |
| Page weight (median) | 3.5 MB | 3.4 MB | Watch |
Google Lighthouse (lab): Performance 63 mobile / 96 desktop, SEO 100, Accessibility 88, Best Practices 100.
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
10 of 40 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:
- button 24x10 "Item 1"
- button 10x10 "Item 2"
- button 10x10 "Item 3"
- button 10x10 "Item 4"
- button 10x10 "Item 5"
- button 10x10 "Item 6"
- button 10x10 "Item 7"
- button 10x10 "Item 8"
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 | MasterPower Technical Services LLC | MEP & Building Maintenance Dubai UAE (73 chars) |
| Meta description | 172 chars |
| H1 | 1 on page |
| Canonical | Present |
| Structured data (JSON-LD) | LocalBusiness |
| 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.
- A floating widget is covering a clickable elementBothCSS only
- Tiny buttons are hard to tap on mobileMobileCSS only
- Page is heavy and slow on mobile dataBothSmall
- Images have no width or height set (layout is stable for now)BothCSS only
- Unused CSS is being downloadedBothVaries
- No email capture or newsletter detectedBothVaries
- Add quotations so AI engines cite this pageBothVaries
- Search-result title will be cut offBoth1 line
- No third-party analytics tag detectedBothDev afternoon
- No robots.txt fileBothVaries
- No llms.txt fileBothVaries
- Some text is low-contrast and hard to readBothVaries
- Security headers are missing or weakBothVaries
- 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 masterpoweruae.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), September 1, 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 September 1, 2026.