Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Office of the Comptroller of the Currency | 39 | — | 0 | 317 | 153 48.3% |
| OCC | 35 | — | 0 | 889 | 887 99.8% |
| announced | 22 | — | 0 | 31 | 30 96.8% |
| 13 | — | 0 | 66 | 63 95.5% | |
| Office of the Comptroller of the Currency (OCC) | 13 | — | 0 | 270 | 269 99.6% |
| here | 13 | — | 0 | 31 | 31 100% |
| OCC.gov | 10 | — | 0 | 65 | 65 100% |
| issued | 9 | — | 0 | 12 | 12 100% |
| www.occ.gov | 9 | — | 0 | 22 | 22 100% |
| Equal Housing Lender | 8 | — | 0 | 307 | 305 99.3% |
| Semiannual Risk Perspective | 6 | — | 0 | 7 | 7 100% |
| speech | 6 | — | 0 | 7 | 6 85.7% |
| Privacy Policy | 6 | — | 0 | 58 | 58 100% |
| Freedom of Information Act (FOIA) | 6 | — | 0 | 58 | 58 100% |
| Accessibility | 6 | — | 0 | 58 | 58 100% |
| said | 5 | — | 0 | 6 | 4 66.7% |
| released | 5 | — | 0 | 9 | 9 100% |
| final rule | 5 | — | 0 | 7 | 7 100% |
| press release | 4 | — | 0 | 5 | 5 100% |
| cease and desist order | 4 | — | 0 | 4 | 4 100% |
| notice of proposed rulemaking | 4 | — | 0 | 4 | 4 100% |
| Consent Order | 4 | — | 0 | 24 | 24 100% |
| Truth in Lending Act | 4 | — | 0 | 4 | 4 100% |
| consent order | 4 | — | 0 | 5 | 5 100% |
| published | 4 | — | 0 | 4 | 4 100% |
| occ.gov | 4 | — | 0 | 7 | 6 85.7% |
| rule | 4 | — | 0 | 4 | 4 100% |
| stated | 4 | — | 0 | 4 | 4 100% |
| Notice of Charges | 3 | — | 0 | 4 | 4 100% |
| interpretive letter | 3 | — | 0 | 5 | 4 80% |
| https://www.occ.gov/ | 3 | — | 0 | 5 | 5 100% |
| OCC Interpretive Letter 1170 | 3 | — | 0 | 3 | 3 100% |
| OCC Interpretive Letter 1172 | 3 | — | 0 | 3 | 3 100% |
| report | 3 | — | 0 | 4 | 3 75% |
| http://www.occ.gov | 3 | — | 0 | 3 | 2 66.7% |
| 1172 | 3 | — | 0 | 4 | 4 100% |
| conditionally approved | 3 | — | 0 | 4 | 4 100% |
| Learn More | 3 | — | 0 | 3 | 3 100% |
| 1170 | 3 | — | 0 | 4 | 4 100% |
| Project REACh | 3 | — | 0 | 3 | 3 100% |
| The Office of the Comptroller of the Currency | 3 | — | 0 | 3 | 3 100% |
| proposed | 3 | — | 0 | 7 | 7 100% |
| Notice of Proposed Rulemaking | 3 | — | 0 | 6 | 6 100% |
| 1174 | 3 | — | 0 | 4 | 4 100% |
| https://www.occ.gov/topics/charters-and-licensing/interpretations-and-actions/2020/int1170.pdf | 3 | — | 0 | 3 | 3 100% |
| Interagency Guidance on Third-Party Relationships: Risk Management | 3 | — | 0 | 3 | 3 100% |
| bulletin | 3 | — | 0 | 3 | 3 100% |
| Interpretive Letter 1183 | 3 | — | 0 | 4 | 4 100% |
| Comptroller of the Currency | 3 | — | 0 | 3 | 3 100% |
| Remarks | 3 | — | 0 | 4 | 4 100% |
Frequently Asked Questions
What anchor texts are used to link to occ.gov?
This page shows all anchor texts found in backlinks pointing to occ.gov, 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 occ.gov.
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 occ.gov have?
The anchor text report for occ.gov 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.