Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 28934 | — | 0 | 1425763 | 1229358 86.2% | |
| Amazon | 27408 | — | 0 | 430925 | 367570 85.3% |
| Amazon.com | 7172 | — | 0 | 65362 | 57199 87.5% |
| here | 5273 | — | 0 | 24743 | 20182 81.6% |
| Buy on Amazon | 2298 | — | 0 | 176430 | 33264 18.9% |
| Buy Now | 2023 | — | 0 | 147456 | 28723 19.5% |
| Kindle | 1959 | — | 0 | 17565 | 15575 88.7% |
| amazon.com | 1955 | — | 0 | 24236 | 21780 89.9% |
| book | 1858 | — | 0 | 3877 | 3603 92.9% |
| AMAZON | 1420 | — | 0 | 17311 | 15988 92.4% |
| HERE | 1352 | — | 0 | 14494 | 14195 97.9% |
| Picture | 1320 | — | 0 | 28221 | 28212 100% |
| amazon | 1283 | — | 0 | 30258 | 28317 93.6% |
| www.amazon.com | 1032 | — | 0 | 2387 | 1935 81.1% |
| Amazon US | 1026 | — | 0 | 16713 | 16392 98.1% |
| Amazon Prime | 991 | — | 0 | 9656 | 3461 35.8% |
| this one | 763 | — | 0 | 1490 | 1107 74.3% |
| Amazon Kindle | 731 | — | 0 | 5132 | 4757 92.7% |
| BUY NOW | 720 | — | 0 | 18895 | 3076 16.3% |
| this | 697 | — | 0 | 1676 | 1353 80.7% |
| this book | 612 | — | 0 | 1139 | 996 87.4% |
| Amazon Wishlist | 601 | — | 0 | 7426 | 7102 95.6% |
| Amazon Author Page | 600 | — | 0 | 9657 | 9567 99.1% |
| Check Price | 576 | — | 0 | 162001 | 139771 86.3% |
| Amazon Music | 574 | — | 0 | 12456 | 8486 68.1% |
| Paperback | 568 | — | 0 | 7877 | 7763 98.6% |
| books | 503 | — | 0 | 1863 | 1372 73.6% |
| View on Amazon | 482 | — | 0 | 66334 | 26375 39.8% |
| Amazon Wish List | 478 | — | 0 | 4607 | 4589 99.6% |
| here. | 469 | — | 0 | 1867 | 1405 75.3% |
| click here | 468 | — | 0 | 1101 | 1001 90.9% |
| Click here | 463 | — | 0 | 2334 | 2044 87.6% |
| Buy from Amazon | 461 | — | 0 | 26251 | 7916 30.2% |
| on Amazon | 457 | — | 0 | 1930 | 1723 89.3% |
| Amazon. | 451 | — | 0 | 900 | 835 92.8% |
| Buy product | 449 | — | 0 | 57845 | 25 0% |
| Check Price on Amazon | 418 | — | 0 | 112315 | 2750 2.4% |
| paperback | 390 | — | 0 | 2887 | 2844 98.5% |
| these | 390 | — | 0 | 625 | 496 79.4% |
| US | 386 | — | 0 | 9774 | 9609 98.3% |
| Shop Now | 374 | — | 0 | 3595 | 2933 81.6% |
| Order Now | 371 | — | 0 | 2389 | 2156 90.2% |
| Amazon Prime Video | 357 | — | 0 | 1825 | 1744 95.6% |
| link | 342 | — | 0 | 1255 | 1209 96.3% |
| Books | 338 | — | 0 | 14679 | 14620 99.6% |
| Shop | 335 | — | 0 | 31181 | 29518 94.7% |
| | 334 | — | 0 | 3756 | 1345 35.8% |
| Amazon Music (Mp3) Download | 332 | — | 0 | 2850 | 2850 100% |
| Buy | 327 | — | 0 | 16900 | 6261 37% |
| Amazon Store | 327 | — | 0 | 13661 | 12837 94% |
Frequently Asked Questions
What anchor texts are used to link to amazon.com?
This page shows all anchor texts found in backlinks pointing to amazon.com, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe amazon.com.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does amazon.com have?
The anchor text report for amazon.com displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.