quell-code.com
1 page · 1.0s ·
Mostly human-written
62% confidence
The score is a fingerprint of automation, not a quality judgment. A high score means the page reads as machine-generated. It doesn't mean the page is bad.
The copy has a distinct, stylized voice with concrete anchors (founding year 1999, named stacks like llama.cpp, Asterisk, T-SQL) that generic LLM output rarely produces. The layout leans on templated patterns (numbered service cards, "Three ways to work with us", a numbered three-point stance list), which pulls the score up somewhat, but overall the page reads as a human-authored services site.
No governance risks detected
- Page title
- Quell-Code — Software Development, Web Design & AI
- Meta description
- Software development, web design and AI from one team: Quell-Code builds AI agents, apps, websites and automations for companies.
- Final URL
- https://quell-code.com/en/(after redirect from https://quell-code.com/)
- Canonical URL
- https://quell-code.com/en/
- Robots directive
- index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1
- Language
- en-US
How the page presents itself in a Google result and as a shared link, rebuilt from the tags we crawled.
Quell-Code — Software Development, Web Design & AI
Software development, web design and AI from one team: Quell-Code builds AI agents, apps, websites and automations for companies.
- Title · 50 characters
- Description · 129 characters

Quell-Code — Software Development, Web Design & AI
Software development, web design and AI from one team: Quell-Code builds AI agents, apps, websites and automations for companies.
- Open Graph image present
- Worth notingStructure
Services section uses a uniform numbered card pattern (01 / 08 … 08 / 08) with identical icon, title, and 'Learn more' structure
Evidence- “Eight fields. One source.”H2
- “Learn more: AI Agents & RAG”body
Try thisVary card length and layout slightly, or add a concrete case-study detail to each service to break the repeated template rhythm.
- Worth notingContent
Three-point stance list (Written ourselves / Understood / Owned) follows a tidy parallel structure typical of generated copy
Evidence- “Written ourselves”body
- “Understood”body
- “Owned”body
Try thisKeep the parallel framing but add a named example or project to each point so it reads as lived experience rather than a slogan set.
Signals of human authorship the page is doing well.
- Tone
Distinct brand voice with idiosyncratic headings and a deliberate typographic quirk in the logo line, not generic marketing copy.
- Content
Concrete specifics such as 'Since 1999' and a specific tech stack per service give the copy verifiable, human-sounding anchors.
- Content32
Stylized, idiosyncratic headings ("Opening the source", "From source to estuary") with specifics like "Since 1999" and named tech stacks
- Structure40
Numbered 01/08 service cards and "Three ways to work with us" follow a familiar services-page template, though layout is custom
- Imagery30
All 16 images carry alt text; no stock or generator filenames visible in the crawl, but image content is not directly inspected
- Tone25
Confident, slightly literary house voice with a deliberate brand quirk ("quell—code.") and a clear first-person "we"
- Words1,814
- Images16
- Alt coverage100%
- Internal links73
- External links2
- Schema blocks1
- HTML size189 KB
- Text-to-HTML6%
Each bar is one sentence of the page, in reading order — taller means longer. Human prose tends to look jagged, mixing short punches with long explanations. Machine drafts tend to flatten into even bars.
Computed from the body text we crawled, split on punctuation and filtered to prose-length sentences. Rhythm is a heuristic, not a verdict — some human writers are metronomically even, and a good editor smooths a machine draft.
No common LLM-marker phrases found — none of the stock AI vocabulary we scan for appears in the body text even once.
- Meta tagsAll presentWhy this matters
Why it matters. Title and description are the two strings Google shows in search results. They decide whether anyone clicks. A canonical tag tells Google which URL is the source of truth when the same content lives at multiple paths.
Passing looks like. A title, a meta description and a canonical link are all present, with exactly one description tag, placed where Google reads it. Their lengths are shown in the report's search preview.
Fix. Add the missing tags inside the page head and delete any second description tag. Keep images and iframes below your meta tags, because Google stops reading the head at the first one. Treat the title as a headline you'd want to read in a SERP, not a brand slogan.
- Heading structure1 H1, 14 H2Why this matters
Why it matters. Headings are how crawlers and assistive tech understand a page's outline. One H1 names the page. H2s break it into sections. A missing H1, or several, blurs what the page is about.
Passing looks like. Exactly one H1, and at least one H2.
Fix. Replace the missing or duplicate H1 with a single, descriptive heading. Promote section titles to H2. Demote sub-points to H3.
- Mobile readinessResponsiveWhy this matters
Why it matters. Google indexes the mobile version of a page. Without a responsive viewport, phones render the page zoomed out, which makes it hard to read and use.
Passing looks like. A viewport meta tag set to width=device-width. The scan reads the HTML and doesn't render the page, so it can't check touch targets or font sizes.
Fix. Add a viewport meta tag set to width=device-width and initial-scale=1, then audit your largest blocks at mobile widths.
- Page speed signals1.0s · 189 KBWhy this matters
Why it matters. Response time, page weight and images that load without a reserved size all show up in Core Web Vitals. Slow pages, and layouts that jump as images arrive, cost visitors and rankings.
Passing looks like. The HTML arrives in under 1.5 s and weighs under 500 KB, the page has fewer than 30 images, and no more than two images lack width and height. These are signals from one HTML fetch, not a PageSpeed Insights measurement.
Fix. Speed up the server response and trim the HTML. Give every image width and height attributes, or a CSS aspect-ratio, so the layout doesn't jump, and serve compressed images sized to the viewport.
- Schema markup1 schema blocksWhy this matters
Why it matters. JSON-LD structured data is how you earn rich results: review stars, FAQ accordions, breadcrumbs, article cards. Skip it and Google has nothing structured to pull from when it builds your SERP card.
Passing looks like. At least one JSON-LD block is present. The check doesn't validate the block or its types, so test it with Google's Rich Results Test too.
Fix. Add an application/ld+json script block describing the page. Validate with Google's Rich Results Test before deploying.
- Broken links0/5 broken in sampleWhy this matters
Why it matters. Broken internal links waste crawl budget, degrade UX, and signal to Google that the site isn't well-maintained. They also cap how deep crawlers reach.
Passing looks like. Every internal link in the sample loads successfully, after following redirects. Timeouts and network errors count as broken.
Fix. Use the link list above to spot the broken paths. Either restore the missing pages or update the links to point at live URLs.
- Image alt textAll have altWhy this matters
Why it matters. Alt text is what screen readers read aloud, and what Google reads instead of pixels. Skip it and you lose on both fronts.
Passing looks like. Nearly every image has non-empty alt text. An empty alt="" counts as missing here, even on a decorative image.
Fix. Audit images in /assets and CMS uploads. Write alts that describe what's in the image, not what it links to.
Every H1, H2, and H3 we found on the page, in document order.
Show heading outline
- H1Quell-Code — Software Development, Web Design & AI quell—code.
- H2All good software has a source. For us that is no website builder and no subscription service, but code we write, understand and stand behind ourselves — from the model to the very last animation.
- H2Eight fields. One source.
- H2Automation, made visible.
- H2Six reasons for Quell-Code.
- H2Your model. Your server. Your data.
- H2What we build.
- H2Algorithms, live.
- H2Who we work for.
- H2From switchboard to voice agent.
- H2Our elements.
- H2From source to estuary.
- H2Three ways to work with us.
- H2Frequently asked questions
- H2Let’s talk.
- H3AI Agents & RAG
- H3Local AI Models
- H3AI Automation
- H3Mobile Apps
- H3Web Design & Development
- H3Real-time & VoIP
- H3Data & Algorithms
- H3Servers & Infrastructure
- H3Company knowledge assistant
- H3Intelligent inbox
- H3AI phone assistant
- H3Offline-capable field-service app
- H3Route & shift optimisation
- H3Private in-house AI platform
We HEAD-check up to five internal links to spot broken paths quickly.
Show sampled links
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