Free Anchor Text Distribution Analyzer
Analyze anchor text distribution from page HTML. Categorizes anchors as exact-match, branded, generic, naked URL, or image — with a visual pie chart.
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Anchor Text Distribution Analyzer
Analyze the anchor text profile of any page. Classify links by type: exact match, branded, generic, naked URL, and more.
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Anchor Text Best Practices
A natural anchor text profile is essential for avoiding Google penalties. Over-optimization with exact-match anchors is a common cause of manual actions.
- Exact match: Use sparingly (5–10% of backlinks). Over-use triggers over-optimization signals.
- Branded: Safest type — aim for 40–60% branded anchors in your backlink profile.
- Generic: Natural filler — acceptable in moderation.
- Naked URL: Looks natural and is common in citations and directories.
Frequently Asked Questions
What is the Anchor Text Distribution Analyzer?
The Anchor Text Distribution Analyzer is a free online tool that analyze anchor text distribution from page html. categorizes anchors as exact-match, branded, generic, naked url, or image — with a visual pie chart.. It runs entirely in your browser with no installation or sign-up needed.
What anchor types are detected?
Exact-match keywords, branded terms, generic phrases (click here), naked URLs, and image links (no text).
How is the pie chart generated?
The chart is rendered using HTML5 Canvas in your browser — no external library needed.
Is it free?
Yes, completely free.
Is my data safe with this tool?
Absolutely. The Anchor Text Distribution Analyzer processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.
Does the Anchor Text Distribution Analyzer work on mobile devices?
Yes, the Anchor Text Distribution Analyzer is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.
Do I need to create an account to use this tool?
No account or registration is needed. Simply open the Anchor Text Distribution Analyzer in your browser and start using it immediately. There are no sign-up walls or usage restrictions.
How do I use the Anchor Text Distribution Analyzer?
Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.
Which browsers are supported?
The Anchor Text Distribution Analyzer works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.
What is the difference between exact-match and partial-match anchor text?
Exact-match anchor text is a link whose visible words are precisely the keyword a page targets, like "blue running shoes" pointing to a blue running shoes category. Partial-match anchors are descriptive and keyword-related but not a verbatim phrase, such as "the best running shoes for marathons." Search engines treat exact-match anchors as a strong, deliberate relevance signal, which is exactly why a profile overloaded with them looks manipulated and risks over-optimization filtering. Partial-match anchors read like natural language, so they are far safer to accumulate in volume and usually form the largest keyword-bearing slice of a healthy profile. This analyzer separates the two automatically: any keyword-like anchor that is not clearly branded, generic, or a naked URL is labelled partial match, so you can see at a glance whether your links lean dangerously exact or read naturally. Paste your HTML to see the split.
What counts as a healthy anchor text distribution?
There is no single perfect ratio, but a natural backlink profile is usually dominated by branded and partial-match anchors rather than exact-match keywords. A common rule of thumb is to keep branded anchors around 40 to 60 percent of your links, since real people most often cite a site by its name or URL, while exact-match keyword anchors stay low at roughly 5 to 10 percent because over-using them is a leading cause of over-optimization penalties. Generic anchors like "click here" and naked URLs are normal filler that appear naturally in comments, citations, and directory listings. Treat these figures as directional guidance, not hard targets; the real goal is a mix that looks like genuine, varied linking. This tool charts your exact percentages across all six categories, so you can compare your actual breakdown against these benchmarks instantly.
Why is too much exact-match anchor text bad for SEO?
Anchor text is one of the oldest ranking signals, so when a large share of links to a page use the same exact keyword phrase, it stops looking like organic citation and starts looking engineered. Real editors and commenters describe a site in many different ways, so a natural profile is varied; a wall of identical exact-match anchors is a fingerprint of paid or self-built links. This pattern has long been associated with Google's Penguin-era filtering and manual link actions, which can suppress rankings or remove the page entirely. The fix is variety: lean on branded, partial-match, naked-URL, and generic anchors, and use exact-match phrases sparingly. The analyzer makes this easy to audit by grouping every link into one of six types and showing the percentage each represents, so an over-optimized exact-match share jumps out immediately. Paste a page's HTML to check yours.
How does the tool detect a branded anchor without my brand name?
Branded detection works two ways. First, if you fill in the optional brand domain field, for example example.com, the tool extracts the core name from that domain and flags any anchor text that contains it as branded. Second, even when you leave that field blank, the analyzer inspects each link's own destination hostname and infers branding when the visible anchor text matches that site's domain name, which catches cases where a link cites a source by its brand. This dual approach means a citation like "Wikipedia" pointing to wikipedia.org is correctly classified as branded rather than as a generic keyword anchor. Filling in your brand domain simply improves accuracy for your own site, especially when your brand name differs from your literal domain spelling. Add your domain in the brand field before analyzing to get the cleanest branded count for your link profile.
Can I analyze backlinks from another site's source with this tool?
Yes. Because the analyzer works directly from raw HTML rather than crawling a live URL, you can paste the source of any page, including a competitor's, a guest-post site you are vetting, or an export pulled from a backlink crawler. The tool extracts every anchor tag in the markup, groups identical anchors, counts how often each appears, and shows the type breakdown as a pie chart, so you can judge a link source before trusting it. This is genuinely useful for spotting risky neighborhoods: a directory or guest-post page whose outbound anchors are all exact-match keywords is a warning sign you can catch in seconds. Everything is parsed locally in your browser with no upload, so analyzing unpublished or private pages is safe. Use Load Sample first to see the output format, then paste the source you want to audit and click Analyze.
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About the Anchor Text Distribution Analyzer
The Anchor Text Distribution Analyzer reads the HTML source of a page and breaks down every link's anchor text into clear categories, so you can see at a glance whether a link profile leans on keyword-stuffed anchors or reads naturally. Paste the page's HTML, optionally add a brand domain, and the tool extracts each <a> tag, groups identical anchors, counts how often each appears, and renders the mix as a pie chart with a sortable details list. It's built for SEOs, link builders, and site owners who want to audit either their own outbound links or a backlink source's anchors before trusting it.
Everything runs in your browser. The HTML you paste is parsed locally with no upload, no account, and no usage cap, so you can analyze unpublished pages, client sites, or a competitor's source without sending anything to a server.
How the analyzer classifies anchors
Each link is sorted into one of six types based on its visible text and destination:
- Exact / partial match — descriptive keyword anchors. Anything keyword-like that isn't clearly branded or generic is labelled a partial match, the most common natural category.
- Branded — the anchor contains your brand name. Fill in the optional brand domain field (for example
example.com) to improve detection; the tool also infers branding from each link's own hostname. - Generic — low-signal filler like "click here", "read more", "learn more", "this", or "source", matched against a built-in list of common generic phrases.
- Naked URL — the anchor text is the raw URL itself (it starts with
http://orhttps://), the way citations and directories often link. - Image / empty — links wrapping an image or carrying no readable text, which pass no anchor-text signal at all.
Identical anchors are merged, so a phrase that appears five times shows up once with a frequency of 5 and a combined list of its destination URLs.
Reading and exporting your results
After you analyze, the distribution appears as a Canvas-drawn pie chart beside a legend showing each type's count and percentage. Click any legend entry to filter the details list to just that category, then click again to clear it. The list shows every unique anchor with its type, frequency, and linked URLs. A single Analyze button processes the input instantly, "Load Sample" drops in example HTML so you can see the output before pasting your own, and the CSV export downloads whatever is currently in view — all anchors, or only the filtered type — for tracking in a spreadsheet over time.
Why anchor distribution matters for SEO
Anchor text is one of the oldest ranking signals, and an unnatural distribution is a classic over-optimization red flag. A profile dominated by exact-match keyword anchors looks manipulated and has long been associated with Google's Penguin-era filtering and manual link actions. A healthy profile usually skews toward branded and natural anchors, with keyword-rich text used sparingly. As a working rule of thumb:
- Branded anchors tend to make up the largest share of a natural profile — roughly 40–60%.
- Exact-match keyword anchors are best kept low, often around 5–10%, since over-using them is a leading cause of over-optimization penalties.
- Generic and naked-URL anchors are normal filler; they appear naturally in comments, citations, and directory listings.
Use the analyzer to spot warning signs early: a guest-post source whose anchors are all exact-match, or your own site quietly building too many optimized internal links. Because it works from raw HTML, you can also paste an export from a backlink crawler to audit incoming anchors. Treat the percentages as directional guidance, not hard targets — the goal is a profile that looks like real people linking in their own words. Load the sample to see a typical breakdown, then paste your own HTML to check where your links fall.