pxlnv.com

Backlink analytics and domain authority

Anchors
All Dofollow Nofollow UGC DR ▾ Ref. domains ▾ Ref. pages ▾ Links to target ▾
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50 anchors All New Lost
Anchor text Ref. domains ▾ Top DR Ref. pages Links to target Dofollow links
Nick Heer 9 0 230 230 100%
Pixel Envy 7 0 181 181 100%
The Bullshit Web 5 0 7 5 71.4%
pxlnv.com 2 0 4 1 25%
‘Jay Blahnik Accused of Creating a Toxic Workplace Culture at Apple’ 1 0 1 1 100%
denied 1 0 1 1 100%
A Sensation Not Unlike Slapping Yourself in the Face — Pixel Envy 1 0 1 0 0%
security or privacy questions 1 0 1 1 100%
Personal Records for a Billion Individuals, Collected by People Data Labs and OxyData, Found Freely Available on Web Server 1 0 2 0 0%
Bogus 1 0 1 1 100%
Pixel Envy - Nick Heer: pxlnv.com 1 0 1 1 100%
MacOS High Sierra Vulnerability Exposes Passwords of Encrypted APFS Containers — Pixel Envy 1 0 1 0 0%
1 0 1 1 100%
Click if you can't wait to be redirected to pxlnv.com 1 0 1 0 0%
Roundrect Dictator 1 0 1 0 0%
combined membership 1 0 1 1 100%
posted a follow-up item 1 0 1 1 100%
user stylesheets 1 0 1 1 100%
https://pxlnv.com/blog/bullshit-web/ 1 0 1 1 100%
concise layman’s explanation of what’s happening with your photos 1 0 1 1 100%
the perfect sequel 1 0 1 1 100%
Apple Updates iWork Suite — Pixel Envy 1 0 1 0 0%
Exploring the New iWork for Mac File Formats — Pixel Envy 1 0 1 1 100%
awkward middle ground 1 0 2 2 100%
AI-generated content. 1 0 1 1 100%
older devices 1 0 1 1 100%
stack ranking system 1 0 1 1 100%
https://pxlnv.com/linklog/cloudflare-turnstile-blocking-browsers/ 1 0 1 1 100%
https://pxlnv.com/linklog/tsai-live-translation/ 1 0 1 1 100%
elsewhere 1 0 1 1 100%
AI errors 1 0 1 1 100%
Nick Heer’s article 1 0 1 1 100%
Apple’s Restrictions on Third-Party Hardware Interoperability – Pixel Envy 1 0 1 1 100%
Danny Hall’s Stolen Instagram Account — Pixel Envy 1 0 1 0 0%
recent high-profile security problems 1 0 1 1 100%
A Whole Book 1 0 1 1 100%
pxlnv.com/linklog/edit-for-ios/ 1 0 1 1 100%
wrote an obituary for it 1 0 1 1 100%
before 1 0 1 1 100%
pxlnv.com/blog/bull… 1 0 1 1 100%
What ‘Free Speech’ Is 1 0 1 1 100%
noted previously 1 0 1 1 100%
pxlnv.com logo TikTok’s Lawless Days to End in January as U.S. Business Will Be Spun Off – Pixel Envy pxlnv.com 1 0 1 0 0%
>> The Bullshit Web 1 0 1 1 100%
wrote a good piece delving into this saga 1 0 1 1 100%
Aundre Larrow’s Portrait Photography on the iPhone 12 Pro — Pixel Envy 1 0 1 0 0%
Nick Heer writes 1 0 1 1 100%
wrong 1 0 1 1 100%
kolejne 1 0 1 1 100%
The Exact Same Things Were Said About Smart Glasses Ten Years Ago 1 0 1 1 100%
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Frequently Asked Questions
What anchor texts are used to link to pxlnv.com?
This page shows all anchor texts found in backlinks pointing to pxlnv.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 pxlnv.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 pxlnv.com have?
The anchor text report for pxlnv.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.