Here’s a comparative analysis of social‑media referral traffic metrics for the two URLs you asked about:

• https://backlink‑generator‑tool.github.io/...automated‑backlink‑audit‑and‑management‑tool.html

• https://GenerateBacklinks.github.io/...free‑social‑growth‑tools‑2026‑top‑12.html

🔍 Public Traffic & Social Referral Estimates

📌 What we can say based on publicly available tools

1. Both URLs are part of small GitHub Pages sites

Both pages live on *.github.io, which is a free static hosting service. Analytics tools like SimilarWeb, Alexa, Ahrefs, etc. typically do not have enough sample data to estimate traffic for low‑traffic GitHub Pages sites — and this is exactly what happened here:


• Attempted traffic analysis failed because estimated traffic was too low for a public ranking estimate (Alexa Rank > ~30M) for both sites. archive.ph+1

Because of this, we cannot provide exact quantitative metrics for social media referral traffic from public databases.

📊 Likely Traffic Profile (Based on What These Tools Are)

Given that neither site shows up in major public traffic estimates, we can infer the following rough patterns:

🚫 Low Measurable Traffic

• Tools often cannot report traffic or referral traffic for sites with very low overall visits or minimal web presence; this is why these pages did not produce estimates. archive.ph+1

• GitHub Pages sites serving niche utilities (like backlink generators or SEO tool pages) often receive limited traffic unless actively shared or marketed.

📉 Social Referral Likely Minimal

• Social traffic is a subset of overall referral metrics (including things like Facebook, Twitter, TikTok, Reddit) tracked by tools like SimilarWeb. Backlinko

• If the total traffic is negligible, the social referral share will also be negligible, often <1% or not detectable in public estimates.

📌 Relative Comparison

Conclusion:
Both pages are small, niche, and not prominent enough for third‑party tools to generate social referral traffic metrics publicly. That suggests very low social traffic overall, with near‑zero detectable visits from social platforms in third‑party datasets.

📈 Why These Pages Don’t Show Metrics

Here’s why public tools struggle:

📍 1. Low Absolute Traffic

Traffic estimators only show data when they see a minimum volume of visits (often thousands/month). Sites below that threshold show no measurable data publicly. Screaming Frog

📍 2. Referral Share Breakdown Depends on Volume

Social referral metrics are usually percentages of total traffic (direct, organic search, referral, social, etc.). Without enough total traffic, social referral metrics aren’t reported. Backlinko

📍 3. Estimators Use Panels, Not Real Logs

Tools estimate traffic based on internet panels, not real‑time logs from every site — meaning tiny, low‑middleware, or static pages are invisible to their samples. Screaming Frog

📊 Best Way to Get Accurate Metrics (if you own the pages)

If you want precise social referral data, the site owner should install analytics on the actual pages:

✔️ Google Analytics or GA4
✔ Matomo
✔ Server logs with referral tracking
→ These can show real social traffic, referral sources (Facebook, LinkedIn, Twitter, Reddit, TikTok), and volume over time.

Without that, any public estimate will likely show “no data” for both, due to insufficient volume.

🧠 Summary

• Neither URL has public social referral traffic data available. archive.ph+1

• Based on traffic estimation absence, both likely have very low social traffic.

• For real insight, install site analytics and track actual referral sources.

If you want, I can also guide you on how to set up analytics on these GitHub Pages sites to track this kind of traffic. Would you like that?