Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| RSS | 14 | — | 0 | 42 | 41 97.6% |
| RSS 2.0 | 9 | — | 0 | 18 | 17 94.4% |
| [Valid RSS] | 5 | — | 0 | 91 | 91 100% |
| RSS Advisory Board | 5 | — | 0 | 653 | 653 100% |
| here | 4 | — | 0 | 4 | 4 100% |
| Media RSS Specification | 4 | — | 0 | 4 | 1 25% |
| RSS specification | 4 | — | 0 | 5 | 5 100% |
| RSS 0.91 | 4 | — | 0 | 4 | 3 75% |
| https://www.rssboard.org/rss-specification | 4 | — | 0 | 24 | 23 95.8% |
| mRSS | 3 | — | 0 | 8 | 8 100% |
| RSS Spec | 3 | — | 0 | 42 | 42 100% |
| RSS Autodiscovery | 3 | — | 0 | 5 | 5 100% |
| http://www.rssboard.org/rss-specification | 3 | — | 0 | 4 | 3 75% |
| RSS 2.0 Specification | 3 | — | 0 | 3 | 3 100% |
| RSS 2.0 specification | 2 | — | 0 | 2 | 1 50% |
| How to Read an RSS Feed with Java Using XOM | 2 | — | 0 | 13 | 13 100% |
| Be Unique And Use RSS Guid Like Everybody Else | 2 | — | 0 | 13 | 13 100% |
| RSS autodiscovery | 2 | — | 0 | 2 | 2 100% |
| RSSBoard.org | 2 | — | 0 | 2 | 2 100% |
| RSS Validator | 2 | — | 0 | 23 | 23 100% |
| Downloading 50,000 Podcast Feeds to Analyze Their RSS | 2 | — | 0 | 13 | 13 100% |
| RSS 0.90 | 2 | — | 0 | 2 | 1 50% |
| Valid RSS | 2 | — | 0 | 21 | 21 100% |
| 0.9.1 | 2 | — | 0 | 2 | 2 100% |
| Tara Calishain Explains: What is RSS? | 2 | — | 0 | 13 | 13 100% |
| versions of RSS | 1 | — | 0 | 3 | 3 100% |
| Atom Feed Format Was Born 20 Years Ago | 1 | — | 0 | 3 | 3 100% |
| 🔗 | 1 | — | 0 | 1 | 1 100% |
| Media RSS | 1 | — | 0 | 1 | 1 100% |
| spec | 1 | — | 0 | 1 | 1 100% |
| vote to expand it | 1 | — | 0 | 1 | 1 100% |
| certain feed set-ups | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| www.rssboard.org/rss-autodiscovery | 1 | — | 0 | 1 | 1 100% |
| guid element | 1 | — | 0 | 2 | 2 100% |
| valid RSS | 1 | — | 0 | 2 | 2 100% |
| the media RSS namespace | 1 | — | 0 | 2 | 2 100% |
| Best Practice-Tipps | 1 | — | 0 | 1 | 1 100% |
| RSS icon | 1 | — | 0 | 1 | 1 100% |
| Specifiche RSS 2.0 | 1 | — | 0 | 1 | 0 0% |
| RSS 2.0 Spezifikation | 1 | — | 0 | 1 | 1 100% |
| formal specification | 1 | — | 0 | 1 | 1 100% |
| ISO-639 | 1 | — | 0 | 2 | 2 100% |
| RSS spec | 1 | — | 0 | 1 | 1 100% |
| elemen RSS 2.0 | 1 | — | 0 | 1 | 1 100% |
| RSS best practices | 1 | — | 0 | 3 | 3 100% |
| "Advisory Board Notes" | 1 | — | 0 | 1 | 0 0% |
| logged | 1 | — | 0 | 1 | 1 100% |
| in talking about channel elements | 1 | — | 0 | 1 | 1 100% |
| determine if the episode should be available to listeners. | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to rssboard.org?
This page shows all anchor texts found in backlinks pointing to rssboard.org, 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 rssboard.org.
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 rssboard.org have?
The anchor text report for rssboard.org 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.