Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| IBM | 1310 | — | 0 | 5873 | 5558 94.6% |
| 313 | — | 0 | 3550 | 3448 97.1% | |
| IBM Watson | 122 | — | 0 | 596 | 573 96.1% |
| www.ibm.com | 84 | — | 0 | 133 | 91 68.4% |
| here | 66 | — | 0 | 212 | 196 92.5% |
| machine learning | 62 | — | 0 | 92 | 82 89.1% |
| IBM Cloud | 54 | — | 0 | 71 | 60 84.5% |
| ibm.com | 47 | — | 0 | 78 | 64 82.1% |
| Watson | 40 | — | 0 | 44 | 41 93.2% |
| natural language processing | 39 | — | 0 | 54 | 45 83.3% |
| SPSS | 38 | — | 0 | 79 | 77 97.5% |
| http://www.ibm.com | 34 | — | 0 | 47 | 34 72.3% |
| Cost of a Data Breach Report | 33 | — | 0 | 35 | 29 82.9% |
| IBM Watson Health | 31 | — | 0 | 40 | 26 65% |
| IBM Corporation | 28 | — | 0 | 75 | 65 86.7% |
| blockchain | 27 | — | 0 | 29 | 27 93.1% |
| IBM Security | 27 | — | 0 | 29 | 24 82.8% |
| https://www.ibm.com/reports/data-breach | 25 | — | 0 | 30 | 30 100% |
| Natural Language Processing (NLP) | 23 | — | 0 | 24 | 22 91.7% |
| AI | 23 | — | 0 | 38 | 23 60.5% |
| Natural Language Processing | 21 | — | 0 | 24 | 23 95.8% |
| artificial intelligence | 21 | — | 0 | 23 | 20 87% |
| Artificial intelligence | 20 | — | 0 | 20 | 16 80% |
| Artificial Intelligence | 20 | — | 0 | 22 | 20 90.9% |
| IBM Blockchain | 20 | — | 0 | 23 | 20 87% |
| IBM Consulting | 19 | — | 0 | 31 | 25 80.6% |
| natural language processing (NLP) | 19 | — | 0 | 19 | 17 89.5% |
| Machine Learning | 19 | — | 0 | 20 | 18 90% |
| Artificial Intelligence (AI) | 19 | — | 0 | 21 | 19 90.5% |
| IBM Watson Assistant | 19 | — | 0 | 38 | 33 86.8% |
| IBM QRadar | 18 | — | 0 | 22 | 20 90.9% |
| $4.88 million | 18 | — | 0 | 21 | 18 85.7% |
| ibm | 17 | — | 0 | 263 | 260 98.9% |
| smart contracts | 17 | — | 0 | 18 | 14 77.8% |
| IBM Cost of a Data Breach Report | 17 | — | 0 | 19 | 17 89.5% |
| artificial intelligence (AI) | 17 | — | 0 | 18 | 16 88.9% |
| Visit Website | 16 | — | 0 | 28 | 20 71.4% |
| IBM logo | 16 | — | 0 | 55 | 55 100% |
| IBM report | 16 | — | 0 | 18 | 14 77.8% |
| NLP | 16 | — | 0 | 19 | 17 89.5% |
| https://www.ibm.com/ | 15 | — | 0 | 37 | 34 91.9% |
| IBM Institute for Business Value | 15 | — | 0 | 16 | 12 75% |
| report | 15 | — | 0 | 16 | 14 87.5% |
| deep learning | 15 | — | 0 | 19 | 16 84.2% |
| study | 15 | — | 0 | 19 | 18 94.7% |
| IBM Watson Studio | 15 | — | 0 | 20 | 16 80% |
| https://www.ibm.com | 15 | — | 0 | 16 | 10 62.5% |
| Internet of Things | 14 | — | 0 | 14 | 14 100% |
| cybersecurity | 14 | — | 0 | 15 | 13 86.7% |
| blockchain technology | 14 | — | 0 | 15 | 11 73.3% |
Frequently Asked Questions
What anchor texts are used to link to ibm.com?
This page shows all anchor texts found in backlinks pointing to ibm.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 ibm.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 ibm.com have?
The anchor text report for ibm.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.