Page Authority Checker Calculator

Check a Page

Use manual metrics, fetch on-page signals, or both.

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Page URL

Paste a full URL or a domain; https will be added.

Check Mode

Fetch reads the page HTML for quick on-page checks.

Domain Age (years)

Older sites often have stronger trust signals.

Backlinks (count)

Total backlinks to the page (estimate allowed).

Referring Domains (count)

Unique domains linking to the page.

Dofollow Ratio (%)

Higher can help, but keep it natural.

Spam Score (%)

Higher reduces authority; keep low.

Content Quality (0–100)

Leave blank to estimate from word count (if fetched).

On-Page Score (0–100)

Leave blank to infer from titles, meta, headings, media.

Social Shares (count)

Optional engagement signal; used on a log scale.

Results appear above this form.

Reset

Clears the current form state.

Recent Checks

Stored locally in this browser session (up to 20).

Download CSV Download PDF

Checked	URL	Score	Grade	HTTP	Resp(ms)
No checks yet. Run the calculator above.

Example Data Table

Sample inputs and outcomes to guide your entries.

Sample URL	Backlinks	Ref Domains	Spam %	Content	On-Page	Score	Grade
https://example.com/guide	420	62	9	82	78	73	Strong
https://example.com/blog-post	95	18	15	70	68	55	Good
https://example.com/landing	28	6	22	58	60	39	Fair
https://example.com/new-page	7	2	6	45	50	28	Poor

Formula Used

This calculator blends link metrics, content strength, on-page quality, technical health, and performance into one 0–100 authority score.

Normalization Large ranges are scaled with a log curve:

Normalized = log(1 + x) / log(1 + cap) × 100 for counts like backlinks and shares.
Spam Quality = (1 − spam/maxBad) × 100 where lower spam is better.

Weighted Score The final score is a weighted sum:

Backlinks: 20%
Referring domains: 15%
Dofollow ratio: 5%
Spam quality: 10%
Content quality: 15%
On-page score: 10%
Technical health: 10%
Performance: 10%
Engagement: 3%
Domain age hint: 2%

Grades

0–29: Poor
30–49: Fair
50–69: Good
70–84: Strong
85–100: Elite

How to Use This Calculator

Enter a page URL you want to evaluate.
Choose a mode: Auto, Fetch signals, or Manual only.
Add backlink metrics and spam score from your preferred tools.
Optionally enter content and on-page scores, or leave blank.
Press Check Authority to see your score and tips.
Download CSV or PDF to store and compare results.

Authority scoring helps prioritize work

A single authority score converts scattered SEO inputs into a comparable 0–100 number. This calculator blends ten factors with clear weights, so teams can decide what to fix first. Link volume contributes 20%, domain diversity 15%, and content strength 15%. Technical health and performance each add 10%, keeping the score grounded in crawlability and user experience. Scores map to bands: Poor (0–29), Fair (30–49), Good (50–69), Strong (70–84), and Elite (85–100).

Link signals: volume versus diversity

Backlinks and referring domains are normalized with a log curve to reflect diminishing returns. For planning, the model treats roughly 5,000 backlinks as the upper cap for 100 points and about 800 referring domains as a practical ceiling. The dofollow ratio adds 5% weight, rewarding healthy distributions without overvaluing it. Referring domains often signal stability because multiple sources reduce dependency on one site. Aim for relevance and editorial links rather than repeated sitewide placements.

Quality controls reduce misleading strength

Quantity is not authority if links are risky. The spam input is inverted, so lower spam improves results. A spam level near 60% is treated as very weak, pulling down the combined score even when backlink counts look high. In fetch mode, “noindex” and bad status codes reduce technical points, preventing pages that cannot rank from appearing strong.

On-page and content indicators add context

When fetching is enabled, the calculator reads title length, meta description presence, canonical tags, heading count, image alt coverage, links, and word count. Title lengths between 30 and 65 characters score better, one H1 is preferred, and word count is scaled toward a 2,500-word reference. The tool also counts internal and external links and estimates alt coverage to highlight accessibility gaps. Canonicals add consistency, and HTTPS improves trust.

Benchmarking with exports supports continuous improvement

Each check is stored in-session (up to 20 entries) so you can compare changes after content updates or link campaigns. Engagement uses a log scale with a 5,000-share reference so spikes do not dominate. Export CSV for analysis, or export PDF for stakeholders. Track a baseline, apply one improvement, then re-check and record the delta. Re-run after speed fixes; under 600ms wins.

1) Is this an official “Page Authority” metric?

No. It is an estimation model for planning. It combines link, content, on-page, technical, and performance signals into a consistent score so you can compare pages and monitor improvement.

2) Do I need backlink and referring domain data?

For best accuracy, yes. Enter values from your preferred SEO tools. If you only fetch the page, the calculator can still estimate content and on-page strength, but link authority will be underrepresented.

3) Why does spam lower the score so much?

Risky links can inflate counts without improving trust. The spam factor is inverted and weighted, so higher spam reduces authority. This encourages cleaning toxic sources before investing in more link building.

4) What happens if the page fetch fails?

The tool will show a notice and continue using manual inputs. You can switch to “Manual metrics only” or try again later. Blocking, timeouts, and server rules can prevent fetching.

5) How is performance measured here?

If fetching is enabled, it uses a simple response-time estimate. Faster pages score higher. This is not a full lab test, but it helps flag pages that may benefit from speed work.

6) What is the quickest way to improve the score?

Start with low-effort fixes: add a clear title and meta description, ensure one H1, improve internal linking, add alt text, and fix noindex or missing canonicals. Then pursue relevant links from diverse sources.