Softonic

Backlink Anchor Text Analyzer

Step 1 / 2

Paste one backlink per line as URL, anchor or URL | anchor.

Analyze Anchors

Paste one backlink or anchor per line and get a simple frequency table for the anchor text that appears. The analyzer reads common CSV exports, URL | anchor pairs and plain anchor lists, lowercases exact phrases, counts repeats and returns a CSV distribution you can review alongside your backlink data.

How to count anchor text frequency

  1. 1

    Export or copy your anchor data

    Use Ahrefs, Semrush, Majestic, Google Search Console or your own crawl. One line per backlink or anchor is enough.

  2. 2

    Paste a supported format

    Use CSV rows such as URL,anchor, URL | anchor pairs, or plain anchor text lines. If a CSV row starts with a URL, the second column is counted as the anchor.

  3. 3

    Run the count

    The tool trims each line, lowercases the anchor text, counts exact repeated strings and sorts the results by frequency.

  4. 4

    Review the distribution cautiously

    Repeated keyword-heavy phrases are a clue to inspect, not a standalone penalty diagnosis or a replacement for source-link review.

What this analyzer counts

Input you paste How it is read Counted anchor
https://example.com/page,"blue widgets" CSV row where the first column is a URL blue widgets
`https://example.com/page Acme guide` Pipe-separated URL and anchor
Acme tools Plain anchor line Acme tools
source page,example anchor CSV row where the first column is not a URL source page

The output is a CSV table with exactly three columns: Anchor Text,Count,Share. It does not classify anchors as branded, generic, naked URL, partial-match or exact-match, and it does not ask for your brand name or target keywords.

Reading the distribution

Google Search Central describes link text as context that helps people and search engines understand the linked page. Google also treats manipulative link building, including keyword-rich anchors in unnatural links, as a link spam issue. This tool sits one step before judgment: it shows which exact phrases repeat so you know what to inspect in your backlink source data.

Use the counts to:

  • Find anchors that repeat far more often than the rest of the list.
  • Compare repeated phrases with the actual linking pages, domains and link context in Ahrefs, Semrush, Majestic or Google Search Console.
  • Spot patterns that look manufactured, such as many unrelated pages using the same commercial keyword phrase.
  • Keep legitimate editorial links in context; a repeated phrase is not automatically harmful.

Practical workflow

Export the anchor or linking-text column from your SEO tool, paste it here, then copy the CSV result into your audit sheet. Sort by share, review the top anchors manually, and investigate source pages before making outreach, cleanup or disavow decisions. Avoid fixed “safe percentage” rules; anchor patterns vary by brand, industry, language and how people naturally cite the site.

Frequently Asked Questions

Use one item per line. The analyzer accepts plain anchor text, URL | anchor pairs, and CSV rows. When a CSV row has two or more columns and the first column is a valid URL, the second column is counted as the anchor.

No. It only counts exact anchor strings after lowercasing them. Use the CSV output as a starting point for manual review, not as an automated anchor-type classifier.

Lowercasing combines simple casing variants, so “Acme Tools” and “acme tools” are counted together. Punctuation, spacing and word changes still create separate rows.

No. The distribution can highlight repeated keyword-rich anchors worth checking, but it cannot diagnose penalties, judge source-domain quality or decide whether a link should be disavowed.

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