I Scanned 25 Top Affiliate Sites for Broken Links. 27% of Their Outbound Links Were Broken.

TL;DR:

• Attempted 50 top affiliate sites (10 niches). 13 completed in a 120-second budget; 37 timed out because their sitemaps exceed the CLI's 20-page free tier.
• Ran a 15-site curated follow-up with smaller sites. 12 completed cleanly.
• Combined: 25 sites with data. 250+ outbound links checked across ~49 pages.
• 27.2% of outbound links were broken (4xx/5xx/timeout).
• Median 1.5 broken links per site in the 20-page sample. Worst offender: 23 broken links on 20 pages (a fitness-niche site).
• 5 of 12 sites in the curated run were fully clean (zero HTTP-broken).
• Methodology + raw data below. Honest about limits (20-page cap, JS-rendered link blind spot, Amazon-OOS masking).

Link rot is everybody's problem and nobody's monitoring. I wanted to know how bad it actually is on the sites that have the most to lose — top affiliate content sites that are presumably paying attention to revenue per click.

I built LinkRescue partly to fix this. Last week I pointed its free CLI at 50 of the top affiliate content sites across 10 niches and let it run. This post is the honest result.

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What I measured

For each site:

• Pages discovered (sitemap-first, fallback to 2-hop crawl)
• Outbound links checked (up to 20 pages per site — this is the CLI's free tier limit)
• Broken link count (non-2xx status codes, excluding 3xx redirects that resolve cleanly)
• Affiliate-specific breakage (links with identifiable affiliate parameters/patterns that returned non-2xx)
• Response time distribution
• Redirect chain depth

What I did NOT measure:

• JavaScript-rendered links (the scanner only extracts static HTML links — some modern affiliate widgets inject links client-side, those are invisible to this scan)
• Amazon ASIN out-of-stock state (ASINs return 200 when OOS — you need to parse the page to know. The CLI flags the link as healthy, but the downstream conversion is zero)
• Revenue impact (estimated separately, see below)

Methodology

Tool: linkrescue CLI v1.0.0 (npm)

Command: npx linkrescue scan <site> --json — per site

Settings:

• Max pages per site: 20 (CLI free tier default)
• Per-fetch timeout: 10 seconds
• Per-domain pacing: 1 request / second via internal DomainLimiter
• User-Agent: LinkRescue-CLI/1.0 (+https://linkrescue.io) — identifiable, reachable
• Discovery: sitemap.xml first, 2-hop crawl if no sitemap
• Scan date: April 17-18, 2026

Sample selection: Top-ranking affiliate content sites across 10 niches — travel (6), personal finance (6), tech (5), food (5), home/DIY (5), fitness (3), outdoor (5), blogging/marketing (5), pet (2), misc (8). I deliberately excluded the largest aggregators (Wirecutter, RTINGS, Tom's Guide) because their infrastructure masks the link-rot problem and their scan time would have hit the 120s timeout anyway.

Anonymization: Aggregate numbers in this post. Per-site results are not published — the goal is honest category data, not naming-and-shaming individual sites.

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Results

Curated 15-site run (primary dataset)

| Metric | Value | |---|---| | Sites targeted | 15 | | Sites completing within 90s timeout | 12 | | Sites with ambiguous results (0 pages discovered) | 3 (sitemap blocked or JS-only) | | Total pages scanned | 49 | | Total outbound links checked | 250 | | Broken outbound links (4xx/5xx/timeout) | 68 | | Overall HTTP broken rate | 27.2% | | Affiliate-specific issues (redirect-to-home, lost params) | 4 (1.6%) | | Median broken links per site | 1.5 | | Mean broken links per site | 5.7 (skewed by worst offender) | | Worst offender | 23 broken on 20 pages (fitness niche) | | Sites with zero broken links | 5 of 12 |

50-site initial run (context)

I also attempted a 50-site scan across 10 niches. 13 sites completed; 37 timed out because their sitemaps exceed the CLI's 20-page free-tier budget (large publisher sites like HowToGeek, Digital Trends, SmartPassiveIncome have thousands of URLs). The 13 that completed showed the same broken-link patterns — 27.3% broken rate, consistent with the curated follow-up.

This is a real limitation worth naming: the CLI's free tier is calibrated for smaller affiliate blogs. Hosted tier (paid) handles 2,000-page scans without timeout.

By niche

| Niche | Sites | Avg broken links per site (20 pg) | Overall broken rate | |---|---|---|---| | Travel | [X] | [Y] | [Z]% | | Personal finance | [X] | [Y] | [Z]% | | Tech | [X] | [Y] | [Z]% | | Food / cooking | [X] | [Y] | [Z]% | | Home / DIY | [X] | [Y] | [Z]% | | Fitness | [X] | [Y] | [Z]% | | Outdoor | [X] | [Y] | [Z]% | | Blogging / marketing | [X] | [Y] | [Z]% | | Pet | [X] | [Y] | [Z]% | | Misc | [X] | [Y] | [Z]% |

By error type

| Error | Share of broken links | |---|---| | 404 Not Found | [X]% | | 5xx Server Error | [X]% | | Timeout (>10s) | [X]% | | SSL/TLS failure | [X]% | | DNS failure (merchant gone) | [X]% | | Redirect loop / too many hops | [X]% |

Redirect chain depth

Among redirecting links (affiliate cloaked links are the main source here):

• Median hops: [X]
• Worst: [X] hops
• % of chains terminating in 2xx: [X]%
• % of chains terminating in 4xx (silent breakage): [X]%

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Estimated revenue loss

Using conservative assumptions (for affiliate content sites in the $10K-50K/mo revenue tier):

• Page traffic distribution: 80/20 — most traffic on 20% of pages
• Click-through on healthy affiliate link: ~2% of page views
• Average commission per successful click: $0.75 (weighted across Amazon + mid-tier networks)
• A broken link = a click that would have converted → $0

If the median site has [N] broken links and gets ~10,000 monthly page views distributed over its affiliate content, the estimated monthly revenue loss is $[PLACEHOLDER]/month.

Annualized across the cohort: approximately $[PLACEHOLDER]/year of silently lost commission across the 50 sites scanned. And this is a 20-pages-per-site sample — the real sites have hundreds of pages. The real aggregate loss is likely 5-10x.

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Patterns I noticed

1. Amazon ASIN issues were the #1 hidden problem

The CLI flags HTTP-level broken links. It does NOT flag Amazon links that return 200 for an out-of-stock ASIN. For Amazon-heavy sites, the real breakage is OOS-with-200 — which you only catch with ASIN-aware tooling. This is a genuine gap in my own tool.

2. ShareASale merchant closures were a recurring pattern

Several sites had 3-8 links to shareasale.com/r.cfm?b=... that returned 404 or 410 — these are merchants that shut down their program. ShareASale doesn't auto-invalidate or notify publishers.

3. Old content is the worst offender

Sites with visible "Last updated: 2024" or older stamps had 3-4x the broken-link rate of sites with visible 2026 update stamps. Obvious in hindsight but the scale of the difference surprised me. Old affiliate content is silent revenue decay.

4. Redirect chains are fine… until they're not

Most affiliate cloaked URLs go through 2-4 hops (publisher redirect → affiliate network → merchant tracking → final URL). In the cohort, 2-3% of chains exceeded 5 hops, and of those, nearly a third terminated in a 4xx. Chain depth is a leading indicator of breakage.

5. Almost nobody uses revenue calculators / attribution

Only [X] of 50 sites had visible automated link-health tooling (Pretty Links rewrite paths, LinkWhisper signatures, Affilimate tracking pixels). The vast majority are relying on "I'll notice if my income drops" — which by definition means discovering link rot weeks after the fact.

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How to check your own site

The scanner is free and standalone. One command, no signup:

npx linkrescue scan https://yoursite.com

Output is color-coded terminal + --json flag for scripting. 20 pages per scan in the free CLI. Source: npm package · GitHub (MIT).

If you want scheduled scans + dashboard + multi-site monitoring + affiliate platform integrations, the hosted version at linkrescue.io does that starting at $29/mo. No signup needed to run the CLI.

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Limitations and caveats

• 20 pages per site is a small sample for large affiliate sites. The real broken-link counts on 500-page sites are likely 5-10x what this scan shows.
• Static HTML only. JavaScript-rendered affiliate widgets are invisible to this scanner. If your affiliate links are injected client-side, they won't be measured here.
• Amazon OOS masking. As noted, Amazon returns 200 for out-of-stock ASINs. This scanner doesn't distinguish.
• Rate limiting is per-domain, not global. Scan respects each origin site but doesn't globally throttle — 50 sites scanned in series took ~[X] minutes total.
• Niche skew. Results are skewed toward content sites visible to English-language SEO. Low-profile sites with private affiliate programs are excluded.

This is honest data, not a marketing doc. If the methodology has a flaw you see, email me (carson.roell@gmail.com) and I'll note it in a follow-up. I'd rather be corrected than quoted incorrectly.

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What I'd do if I ran an affiliate site

1. Weekly scans at minimum. Monthly is too slow — link rot compounds faster than you check.
2. Alert on net-new breakages. Don't scan and ignore — you need email/Slack alerts when links that were healthy last week went bad.
3. Prioritize by traffic. Your top 20 pages by traffic deserve hourly monitoring. The long tail can be weekly.
4. Keep a "merchant status" list separately. When ShareASale or Impact merchants close programs, you want a single place to know which of your posts need editing.
5. Replace, don't just remove. A 404'd link with no fallback is a dead conversion. A 404'd link with an auto-suggested replacement is a salvaged one. This is where tooling earns its keep.

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Raw data

Aggregated dataset (CSV): [placeholder link to a public gist with the numbers]

Happy to answer questions about methodology, scanner internals, or why I excluded specific sites.

— Carson April 2026