ganservo.com
1 page · 0.5s ·
Mostly AI-generated
68% 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 page has a leftover placeholder ("[Pending Industry Consensus / Verification Required]") and a formulaic Risk/Mitigation structure. Its content and layout look like programmatic SEO output. The technical specifics (EPC9146, LMG3410) are real, so the page is probably AI-drafted from a technical brief.
2 governance risks detected
- Page title
- 24V GaN Inverter Board for Motor Drives | Power Calculator & Design Report | GaN Servo
- Meta description
- Compare switching losses and evaluate thermal requirements for a 24V GaN inverter board in high-frequency motor drives. Interactive tool + engineering report.
- Canonical URL
- https://ganservo.com/products/24v-gan-inverter-board-for-motor-drives
- Robots directive
- Not set — search engines default to index, follow
- Language
- en
- Built with
- Next.js
How the page presents itself in a Google result and as a shared link, rebuilt from the tags we crawled.
24V GaN Inverter Board for Motor Drives | Power Calculator…
Compare switching losses and evaluate thermal requirements for a 24V GaN inverter board in high-frequency motor drives. Interactive tool + engineering rep…
- Title · 86 characters — long titles get cut around 60
- Description · 158 characters — long descriptions get cut around 155

24V GaN Inverter Board for Motor Drives | Power Calculator & Design Report
Compare switching losses and evaluate thermal requirements for a 24V GaN inverter board in high-frequency motor drives. Interactive tool + engineering report.
- Open Graph image present
AI-generated product descriptions risk FTC false advertising action
FTC Act §5 prohibits unfair or deceptive acts regardless of whether they are intentional. AI-generated product descriptions that contain unsupported efficacy claims, fabricated specifications, or misleading comparisons are fully subject to this standard.
## AI Product Description Review Checklist
Before publishing AI-generated product descriptions, verify:
- [ ] All specification claims (dimensions, weight, materials) match supplier data
- [ ] Performance claims ("best", "fastest", "most durable") are either removed or substantiated
- [ ] Comparison claims against competitors are accurate and current
- [ ] Health or safety benefit claims are reviewed by a qualified person
- [ ] "AI-assisted" label added if required by platform terms
**FTC standard:** Advertising must be truthful, not misleading, and claims
must be substantiated before publishing — not after a complaint.No AI content disclosure detected
EU AI Act Article 50 requires that AI-generated content presented to EU audiences be labelled as such. The FTC has also signalled enforcement interest in undisclosed AI-generated content. A simple site-wide disclosure policy covers both.
## AI Content Policy Some content on this website is created or assisted by artificial intelligence (AI) tools. We are transparent about our use of AI and committed to accuracy. **What we use AI for:** [content drafting / image generation / data summaries] **Human review:** All AI-generated content is reviewed before publication **Accuracy:** We verify factual claims, but AI-generated content may contain errors This disclosure is consistent with EU AI Act Article 50 obligations. Questions? Contact us at [email]. _Policy version: 1.0 — [DATE]_
<!-- Place in your site header or footer --> <div class="ai-disclosure-notice" role="note" aria-label="AI content notice" > Some content on this site is AI-assisted. <a href="/ai-policy">Our AI policy</a> </div>
- Strong signalContent
A leftover placeholder bracket is still in the published copy, which suggests unreviewed generated text
Evidence- “[Pending Industry Consensus / Verification Required]”body
- “as of Q3 2026”body
Try thisRemove the placeholder and replace it with a real, verified statement about long-term GaN reliability.
- Clear signalImagery
None of the 6 images have alt text, so no one appears to have reviewed them
Evidence- “Images: 6 (missing alt: 6)”page
Try thisAdd descriptive alt text and use real photos or board renders of your own hardware.
- Worth notingTone
The copy is uniformly promotional and impersonal, with no named engineer or author behind it
Evidence- “perfectly suited for low-inductance PMSM/BLDC motors”body
Try thisAdd a named engineer's notes or a measured test result from your own lab.
Signals of human authorship the page is doing well.
- Content
It cites specific parts and sources (EPC9146, TI LMG3410) and gives concrete numbers and limits.
- Content68
Templated claim/Mitigation pairs, a stray "[Pending Industry Consensus / Verification Required]" placeholder, and an odd "Q3 2026" date
- Structure65
Uniform SEO-template sections: calculator, 3 conclusion cards, methodology, risks, FAQ, plus 5 JSON-LD blocks
- Imagery55
All 6 images lack alt text, and there is no clear evidence of real product photography
- Tone65
Uniform, impersonal technical-marketing register with no author voice, e.g. "perfectly suited"
- Words774
- Images6
- Alt coverage0%
- Internal links40
- External links3
- Schema blocks5
- HTML size134 KB
- Text-to-HTML4%
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.
Common AI writing tells we counted in the body text. A few hits is normal. A dense cluster is the signal.
Show counted phrases1 match across 1 phrase
- “robust”×1
- 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, 5 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 signals0.5s · 134 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 markup5 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 text6/6 missing 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
- H124V GaN Inverter Board for Motor Drives
- H2Power Loss Calculator
- H2Key Design Conclusions
- H2Methodology & Evidence
- H2Risks & Limitations
- H2Frequently Asked Questions
- H3Zero Reverse Recovery
- H3Thermal Footprint
- H3Control Bandwidth
We HEAD-check up to five internal links to spot broken paths quickly.
Show sampled links
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