Hemerascope: a phone-and-desktop teardown
We loaded https://hemerascope.com/ 4 times on a simulated iPhone and 2 more on a 1366px desktop, and wrote down what a real visitor would see on each. No login, no insider access, no Harvv pixel needed. Here is what repeated visits already show, sorted by how we know it.
TL;DRWhat jumped out
Of everything we found on this scan, this is the one to start with: Tiny buttons are hard to tap on mobile. 17 of 21 tappable items on this page come in below 44×44 pixels, the minimum size Apple and Google recommend 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.
Below: what's already working, every finding ranked by impact and tagged with the screen it affects, the speed numbers on phone and desktop, and a checklist of what to fix first.
00What's already working
Start here so the problems below are in context. These held up across the test loads:
- Speed is good. The main content paints in about 0.3s in our test loads, inside Google's 2.5s "good" threshold. Real networks are slower, but the page itself is not heavy.
- Light page weight. The page is about 0.4 MB across 43 requests. That keeps it quick on mobile data and cheap to load repeatedly.
- No JavaScript errors on load. Nothing threw a script error across the test loads, so buttons and tracking are not silently breaking mid-session.
- Search basics are in place. Lighthouse scores SEO 100/100. The fundamentals Google looks for are present.
- Layout holds on phone and desktop. Nothing spilled past the edge at either 390px (phone) or 1366px (desktop), so the structure is responsive.
01Findings, ranked by what hurts conversion most
| Severity | Finding | How we know |
|---|---|---|
| High | Tiny buttons are hard to tap on mobileMobileAccessibility (WCAG)Conversion 17 of 21 tappable items on this page come in below 44×44 pixels, the minimum size Apple and Google recommend 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 | |
| High | 12 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: "▼ 8.3% vs FY23" (span.dash-pill), "GSD 1.42 · methodology · TACA" (span.dash-chip-mono), "Carbon budget · SBTi 1.5°COn pace13.1%of" (div.dash-tile). The exact elements we found: paste into Claude, Cursor, or ChatGPT | |
| High | 12 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 | |
| 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 | |
| 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 | |
| Medium | No analytics installed, so you cannot see your own trafficBothTracking No Google Analytics, GA4, or any analytics tag was detected. There is no way to know how many visitors arrive, where they come from, or what converts, and no data to retarget or measure a campaign against. Installing GA4 (free) is the baseline. paste into Claude, Cursor, or ChatGPT | |
| Medium | Duplicate title tagsBothSEO The same <title> appears on multiple pages. Duplicate titles confuse search engines about which page to rank and split relevance between them. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.) The exact examples we found:
paste into Claude, Cursor, or ChatGPT | |
| Low | No canonical tag, so duplicate URLs split the page's rankingBoth When the same content is reachable at multiple URLs (think tracking parameters or session IDs), Google can split your ranking signal across them. A single canonical tag tells Google which version counts. paste into Claude, Cursor, or ChatGPT | |
| Low | Some text is too small to read on phonesMobileAccessibility (WCAG)Conversion 45 chunks of text come in under 12 pixels on this page. Most visitors don't zoom, they just skim past anything that small. Bumping the smallest body text to 14 pixels makes the page read without effort. paste into Claude, Cursor, or ChatGPT | median across loads |
| 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 email capture or newsletter detectedBothConversion No email-marketing tag (Klaviyo, Mailchimp, etc.) was found. Email capture plus a welcome and abandoned-cart flow is consistently the highest-ROI addition for a small store, and it is owned audience you keep regardless of ad costs. paste into Claude, Cursor, or ChatGPT | |
| 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 276 KiB. paste into Claude, Cursor, or ChatGPT | |
| Low | Duplicate meta descriptionsBoth The same meta description appears on multiple pages. Google usually ignores duplicated descriptions and writes its own snippet, and it signals templated or thin pages. (Found across a sample of 8 pages from your sitemap, a partial crawl rather than your full site.) The exact examples we found:
paste into Claude, Cursor, or ChatGPT | |
| Low | No llms.txt fileBothSEO No /llms.txt. This emerging standard gives AI search engines a clean, structured map of your most important content, improving how they understand and cite your site. 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 |
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) | 51 ms | 57 ms | Lab |
| FCP (lab median) | 308 ms | 312 ms | Lab |
| LCP (lab median) | 308 ms | 312 ms | Good |
| Page weight (median) | 0.4 MB | 0.4 MB | OK |
Google Lighthouse (lab): Performance 80 mobile / 93 desktop, SEO 100, 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. Add a Google API key to light up real-user field data (CrUX) and Lighthouse scores.
03Tiny buttons are hard to tap on mobile
17 of 21 tappable items on this page come in below 44×44 pixels, the size Apple and Google both recommend for reliable tapping on a phone. 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 106x37 "Start free →"
- select 280x43 "Choose a SIC 2007 sector 01 "
- a 154x18 "SIG Lite available on reques"
- a 83x23 "HemeraScope"
- a 83x42 "Footprint Ledger"
- a 83x23 "Pricing"
- a 83x42 "Procurement-Ready report"
- a 103x42 "SECR + PPN 006"
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 | HemeraScope — Carbon & Supply Chain Intelligence (48 chars) |
| Meta description | 160 chars |
| H1 | 1 on page |
| Canonical | Missing |
| Structured data (JSON-LD) | None |
| 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
- 12 potential dead-click targetsBothCSS only
- 12 interactive elements have no stable, accessible identityBothDev afternoon
- Some text is low-contrast and hard to readBothVaries
- Add quotations so AI engines cite this pageBothVaries
- No analytics installed, so you cannot see your own trafficBothDev afternoon
- Duplicate title tagsBoth1 line
- No canonical tag, so duplicate URLs split the page's rankingBoth1 line
- Some text is too small to read on phonesMobileCSS only
- No structured data for rich search resultsBothVaries
- No email capture or newsletter detectedBothVaries
- Unused JavaScript is being downloadedBothVaries
- Duplicate meta descriptionsBoth1 line
- No llms.txt fileBothVaries
- No Organization or WebSite schemaBothVaries
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 hemerascope.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), July 6, 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.
Prepared by Harvv. Last updated July 6, 2026.