Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| PwC | 990 | — | 0 | 5080 | 4883 96.1% |
| 278 | — | 0 | 1930 | 1857 96.2% | |
| PWC | 271 | — | 0 | 607 | 576 94.9% |
| PricewaterhouseCoopers | 149 | — | 0 | 227 | 207 91.2% |
| PwC survey | 91 | — | 0 | 107 | 99 92.5% |
| www.pwc.com | 87 | — | 0 | 138 | 114 82.6% |
| report | 84 | — | 0 | 97 | 79 81.4% |
| www.pwc.com/structure | 76 | — | 0 | 2398 | 2381 99.3% |
| PwC report | 59 | — | 0 | 65 | 53 81.5% |
| survey | 59 | — | 0 | 69 | 61 88.4% |
| pwc.com | 51 | — | 0 | 102 | 88 86.3% |
| PwC study | 41 | — | 0 | 47 | 42 89.4% |
| here | 37 | — | 0 | 383 | 380 99.2% |
| https://www.pwc.com | 36 | — | 0 | 50 | 45 90% |
| pwc | 32 | — | 0 | 35 | 30 85.7% |
| According to PwC | 31 | — | 0 | 37 | 35 94.6% |
| study | 26 | — | 0 | 29 | 23 79.3% |
| research | 25 | — | 0 | 30 | 28 93.3% |
| PricewaterhouseCoopers (PwC) | 23 | — | 0 | 30 | 26 86.7% |
| PriceWaterhouseCoopers | 23 | — | 0 | 36 | 26 72.2% |
| according to PwC | 22 | — | 0 | 23 | 19 82.6% |
| https://www.pwc.com/ | 22 | — | 0 | 36 | 33 91.7% |
| study by PwC | 21 | — | 0 | 24 | 23 95.8% |
| PwC research | 21 | — | 0 | 21 | 18 85.7% |
| 73% | 20 | — | 0 | 20 | 18 90% |
| Source | 20 | — | 0 | 23 | 18 78.3% |
| PWC study | 18 | — | 0 | 24 | 20 83.3% |
| 73% of customers | 17 | — | 0 | 21 | 21 100% |
| $15.7 trillion | 16 | — | 0 | 16 | 11 68.8% |
| Contact Us | 15 | — | 0 | 99 | 99 100% |
| PWC report | 15 | — | 0 | 16 | 16 100% |
| https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html | 15 | — | 0 | 17 | 15 88.2% |
| PwCコンサルティング合同会社 | 14 | — | 0 | 918 | 918 100% |
| 73% of consumers | 14 | — | 0 | 16 | 13 81.2% |
| survey by PwC | 12 | — | 0 | 13 | 12 92.3% |
| 32% | 12 | — | 0 | 13 | 13 100% |
| Privacy Statement | 11 | — | 0 | 774 | 774 100% |
| Website | 11 | — | 0 | 30 | 11 36.7% |
| Price Waterhouse Coopers | 11 | — | 0 | 60 | 59 98.3% |
| PwC Middle East | 11 | — | 0 | 14 | 11 78.6% |
| According to PWC | 11 | — | 0 | 13 | 13 100% |
| exciting opportunities for engineers | 11 | — | 0 | 18 | 18 100% |
| report by PwC | 11 | — | 0 | 11 | 10 90.9% |
| https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html | 10 | — | 0 | 24 | 23 95.8% |
| http://www.pwc.com | 10 | — | 0 | 12 | 12 100% |
| PwC Japanグループ | 10 | — | 0 | 26 | 26 100% |
| Learn more | 10 | — | 0 | 227 | 227 100% |
| PwC Canada | 10 | — | 0 | 10 | 9 90% |
| PwC’s | 10 | — | 0 | 11 | 11 100% |
| PwC US | 10 | — | 0 | 13 | 12 92.3% |
Frequently Asked Questions
What anchor texts are used to link to pwc.com?
This page shows all anchor texts found in backlinks pointing to pwc.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 pwc.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 pwc.com have?
The anchor text report for pwc.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.