Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| BRG | 13 | — | 0 | 16 | 15 93.8% |
| 8 | — | 0 | 26 | 26 100% | |
| Berkeley Research Group | 8 | — | 0 | 9 | 8 88.9% |
| Todd Neilson | 7 | — | 0 | 194 | 190 97.9% |
| Berkeley Research Group (BRG) | 4 | — | 0 | 5 | 4 80% |
| Disclaimer | 3 | — | 0 | 4 | 4 100% |
| Legal Policies | 3 | — | 0 | 4 | 4 100% |
| BRG | Prism Healthcare | 3 | — | 0 | 11 | 11 100% |
| Privacy | 3 | — | 0 | 4 | 4 100% |
| report | 2 | — | 0 | 2 | 2 100% |
| Shannon’s mouse | 1 | — | 0 | 1 | 1 100% |
| Español | 1 | — | 0 | 1 | 1 100% |
| estimated | 1 | — | 0 | 1 | 1 100% |
| nearly $2 trillion in 2024 to nearly $3 trillion in 2026 | 1 | — | 0 | 1 | 1 100% |
| Overview | 1 | — | 0 | 1 | 1 100% |
| https://www.thinkbrg.com/ | 1 | — | 0 | 1 | 1 100% |
| Contact Us | 1 | — | 0 | 1 | 1 100% |
| People | 1 | — | 0 | 1 | 1 100% |
| www.thinkbrg.com | 1 | — | 0 | 2 | 2 100% |
| AI/ML | 1 | — | 0 | 1 | 1 100% |
| C. Paul Wazzan | 1 | — | 0 | 1 | 1 100% |
| 1947-ben történt | 1 | — | 0 | 1 | 0 0% |
| H. David Kotz | Securities | Investigations | Anti-Money ... | 1 | — | 0 | 1 | 1 100% |
| Jason Moretz | 1 | — | 0 | 1 | 0 0% |
| Group | 1 | — | 0 | 1 | 1 100% |
| Berkeley Research Group, LLC | 1 | — | 0 | 1 | 1 100% |
| verviervoudigd sinds 2016 | 1 | — | 0 | 1 | 1 100% |
| Custom logo | 1 | — | 0 | 1 | 1 100% |
| BerkeleyResearchGroup_logo | 1 | — | 0 | 2 | 2 100% |
| dynamic | 1 | — | 0 | 1 | 1 100% |
| Rick Fultineer | 1 | — | 0 | 1 | 1 100% |
| Keith Jelinek, with Berkeley Research Group | 1 | — | 0 | 1 | 1 100% |
| quadruplé depuis 2016 | 1 | — | 0 | 1 | 1 100% |
| Carl Sheeler | 1 | — | 0 | 1 | 1 100% |
| Shireen Meer | 1 | — | 0 | 1 | 1 100% |
| David Kaplan of Berkeley Research Group | 1 | — | 0 | 1 | 1 100% |
| Careers | 1 | — | 0 | 1 | 1 100% |
| Follow the Link | 1 | — | 0 | 1 | 1 100% |
| Antitrust Across the Atlantic | 1 | — | 0 | 2 | 2 100% |
| $16 billion | 1 | — | 0 | 1 | 0 0% |
| Ben Johnson | 1 | — | 0 | 1 | 1 100% |
| [26] thinkbrg.com | 1 | — | 0 | 1 | 1 100% |
| David Kennedy | 1 | — | 0 | 1 | 1 100% |
| Frank Calvaruso | 1 | — | 0 | 1 | 1 100% |
| Berkley Research Group | 1 | — | 0 | 2 | 2 100% |
| Managing Director at Berkeley Research Group | 1 | — | 0 | 1 | 1 100% |
| Europe, Middle East & Africa | 1 | — | 0 | 1 | 1 100% |
| consultancy BRG summed up its 2025 industry forecast | 1 | — | 0 | 1 | 1 100% |
| BRG’s Global AI Regulation Report | 1 | — | 0 | 1 | 1 100% |
| Client Services | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to thinkbrg.com?
This page shows all anchor texts found in backlinks pointing to thinkbrg.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 thinkbrg.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 thinkbrg.com have?
The anchor text report for thinkbrg.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.