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ganzhoumagnets.com

1 page · 0.7s ·

0/ 100
AI automation score

Mostly AI-generated

68% confidence

How to read this score
0–35 · Mostly human35–65 · Mixed signals65–100 · Mostly AI

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.

What we saw

The page is long and substantial, and its prose is heavily templated: abstract framing such as "This one-page hybrid flow is built for mixed intent" and "translate model output into actionable decisions" repeats across sections in one uniform register. The section sequence follows a fixed reporting template, and the coined phrasing ("Stage1b signals", "model-only planning values") reads like generated scaffolding, though the cited sources (USGS 2024, IEA 2025, dated export-control items) give it some real grounding.

50/100Caution
AI Governance· ecommerce

3 governance risks detected

2 high1 medium
What we scanned
Page title
Bulk Custom Magnets Fit Tool + Decision Report | Ganzhou
Meta description
Run the bulk custom magnets fit tool, validate cost/lead/compliance boundaries, review dated evidence, and move to RFQ with clear next actions and owners.
Final URL
https://ganzhoumagnets.com/bulk-custom-magnets
Canonical URL
https://ganzhoumagnets.com/bulk-custom-magnets
Robots directive
Not set — search engines default to index, follow
Language
en
Built with
Next.js
Search & social preview

How the page presents itself in a Google result and as a shared link, rebuilt from the tags we crawled.

Google result
g
ganzhoumagnets.comganzhoumagnets.com/bulk-custom-magnets

Bulk Custom Magnets Fit Tool + Decision Report | Ganzhou

Run the bulk custom magnets fit tool, validate cost/lead/compliance boundaries, review dated evidence, and move to RFQ with clear next actions and owners.

  • Title · 56 characters
  • Description · 154 characters
Fine-tune this snippet in the SERP simulator
Shared link card
ganzhoumagnets.com

Bulk Custom Magnets Fit Tool + Decision Report | Ganzhou

Run the bulk custom magnets fit tool, validate cost/lead/compliance boundaries, review dated evidence, and move to RFQ with clear next actions and owners.

  • Open Graph image present
AI Governanceecommerce · 77%
50/100
Caution3 risks detected
highE-commerce site with AI score ≥ 60

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.

FTC Act Section 5FTC Advertising Guidelines
Official guidanceFTC — Advertising and Marketing BasicsFTC Act Section 5
Fix
Product description review checklist
## 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.
highE-commerce site with AI score ≥ 70 and no AI disclosure

AI-generated reviews violate FTC's 2024 Review Rule

The FTC's 2024 rule on consumer reviews explicitly bans AI-generated fake reviews, review suppression, and insider reviews without disclosure. Violations can result in civil penalties up to $51,744 per violation.

FTC Rule on Consumer Reviews and Testimonials (2024)
Official guidanceFTC — Final Rule: Consumer Reviews and Testimonials
Fix
Review authenticity policy template
## Review Authenticity Policy

All customer reviews published on this site are from verified purchasers.

We do not:
- Publish AI-generated or synthetic reviews
- Suppress negative reviews
- Offer incentives for positive reviews without disclosure

AI may be used to moderate, summarise, or respond to reviews, but all
review content reflects genuine customer experiences.

_If you believe a review violates this policy, contact [email]._
mediumAI score ≥ 60 and no disclosure statement detected on page

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.

EU AI Act Article 50FTC Act §5
Official guidanceEU AI Act — Article 50 (Transparency for general public)FTC — Using AI: What Businesses Need to Know
Fix
AI content disclosure policy template
## 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]_
Site-wide AI disclosure banner (HTML)
<!-- 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>
Top findings
  • Strong signalStructure

    Thirteen numbered sections follow a fixed report template (Summary, Key numbers, Boundaries, Method, Evidence, Comparison, Risk, Scenarios, Go/No-go, FAQ)

    Evidence
    • “2) Report summary: core conclusions and fit boundaries”H2
    • “11) Go / no-go gates”H2
    • “12) FAQ”H2
    Try this

    Break the uniform numbered template and let sections follow the actual decision content, with a layout specific to bulk magnet sourcing.

  • Clear signalContent

    Abstract meta-language stands in for specifics across the intro and summary

    Evidence
    • “This one-page hybrid flow is built for mixed intent.”body
    • “These conclusions translate model output into actionable decisions for sourcing and engineering teams.”body
    Try this

    Replace the framing sentences with concrete statements about what a buyer will get, such as a named supplier process, lead time, or price range.

  • Worth notingImagery

    Three of thirteen images lack alt text, suggesting no review pass on media

    Evidence
    • “Images: 13 (missing alt: 3)”page
    Try this

    Add descriptive alt text to every image and confirm that photos are real product or factory shots rather than generic stock.

What's working

Signals of human authorship the page is doing well.

  • Content

    Cites dated, named public sources (USGS 2024, IEA 2025, 2025-04-04 export controls) rather than unsourced market claims.

SEO auditGood
86/100
AI breakdown by category
  • Content72

    Abstract framing ("built for mixed intent", "translate model output into actionable decisions") with little named-person or anecdote detail

  • Structure78

    Thirteen numbered sections in a fixed template order: Summary, Key numbers, Boundaries, Method, Evidence, Comparison, Risk, Scenarios, Go/No-go, FAQ

  • Imagery45

    Only 13 images with 3 missing alt text; no visible image attributes to confirm custom versus stock photography

  • Tone70

    Uniform corporate register throughout, with repeated "route", "evidence", and "boundaries" jargon and no personal voice

By the numbers
  • Words3,904
  • Images13
  • Alt coverage77%
  • Internal links65
  • External links33
  • Schema blocks1
  • HTML size359 KB
  • Text-to-HTML6%
LLM-marker phrases

No common LLM-marker phrases found — none of the stock AI vocabulary we scan for appears in the body text even once.

SEO audit detail
  • Meta tags
    All present
    Why 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 non-empty title under 60 characters, a meta description under 160, and a self-referencing canonical link.

    Fix. Add the missing tags inside the page head. Treat the title as a headline you'd want to read in a SERP, not a brand slogan.

  • Heading structure
    1 H1, 22 H2
    Why 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. Skipped levels and missing H1s confuse both.

    Passing looks like. Exactly one H1, at least one H2, and no skipped levels (no H1 to H3 jumps).

    Fix. Replace the missing or duplicate H1 with a single, descriptive heading. Promote section titles to H2. Demote sub-points to H3.

  • Mobile readiness
    Responsive
    Why this matters

    Why it matters. Google indexes mobile-first. A page without a responsive viewport renders zoomed-out on phones, fails Core Web Vitals on touch, and loses its mobile ranking.

    Passing looks like. A meta viewport tag with width=device-width and a layout that reflows under 600px.

    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 signals
    0.7s · 359 KB
    Why this matters

    Why it matters. Page weight and response time directly feed Core Web Vitals. Slow LCP and oversized HTML hurt rankings more than people expect.

    Passing looks like. First-byte under 1.5s, HTML payload under 500 KB, fewer than 30 images on the initial render.

    Fix. Trim render-blocking scripts, defer non-critical CSS, and serve compressed images sized to the viewport. Move heavy components below the fold.

  • Schema markup
    1 schema blocks
    Why 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 valid JSON-LD block matching schema.org types relevant to the page (Article, Product, FAQPage, Organization).

    Fix. Add an application/ld+json script block describing the page. Validate with Google's Rich Results Test before deploying.

  • Broken links
    1/5 broken in sample
    Why 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 returns 2xx or 3xx. No dead anchors, no stale paths.

    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 text
    3 missing alt
    Why 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. Every meaningful image has a descriptive alt attribute. Decorative images can use alt="" to be skipped intentionally.

    Fix. Audit images in /assets and CMS uploads. Write alts that describe what's in the image, not what it links to.

Heading outline

Every H1, H2, and H3 we found on the page, in document order.

Show heading outline
  1. H1Bulk Custom Magnets: Plan Route First, Then Commit with Evidence
  2. H21) Tool layer: input, evaluate, and execute
  3. H22) Report summary: core conclusions and fit boundaries
  4. H23) Stage1b signals: source-backed market and compliance deltas
  5. H24) Key numbers and decision context
  6. H25) Applicable boundaries and limits
  7. H26) Methodology
  8. H27) Evidence register and source quality
  9. H28) Route comparison
  10. H29) Risk matrix and mitigations
  11. H210) Scenario examples
  12. H211) Go / no-go gates
  13. H212) FAQ
  14. H213) Conversion and related paths
  15. H2Specifications
  16. H2Need a quote-ready specification review?
  17. H2Reference Guides
  18. H2Quote Calculator
  19. H2Buyer feedback
  20. H2Trusted by buyer segments
  21. H2Request a Quote
  22. H2Trust & Compliance
  23. H2Related Pages
  24. H3Does this tool replace supplier quotation?
  25. H3Why does the result include both unit and landed price?
  26. H3What causes a hold-lane result most often?
  27. H3If the result is conditional, should we stop the project?
  28. H3When should we choose custom bulk over catalog stock?
  29. H3What is a practical pilot lot size?
  30. H3How can we keep supplier quotes comparable?
  31. H3Do launch spikes always increase risk?
  32. H3When do 2025 export controls matter for custom magnet routes?
  33. H3What does N/A mean in the comparison tables?
  34. H3How often should compliance evidence be refreshed?
  35. H3What deadline should we track after a new Candidate List inclusion?
  36. H3Do public sources give reliable reject-rate benchmarks for our exact part?
  37. H3Can we move forward without complete declarations?
  38. H3What is the minimum continuation path after hold-lane output?
  39. H3Can air freight always be used as the recovery path?
  40. H3Can we reuse last quarter's tariff or duty assumption for U.S.-bound lots?
  41. H3Corrosion protection for rare earth magnets
  42. H3Inspection and testing for NdFeB magnets
  43. H3Magnet storage and handling safety
  44. H3RFQ checklist
  45. H3Spec sheet downloads
  46. H3Factory Capability
  47. H3QC Process
  48. H3Get a Quote
Sampled links

We HEAD-check up to five internal links to spot broken paths quickly.

Show sampled links

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