Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Simon Willison | 99 | — | 0 | 268 | 259 96.6% |
| simonwillison.net | 31 | — | 0 | 114 | 102 89.5% |
| Simon Willison’s Weblog | 11 | — | 0 | 13 | 11 84.6% |
| blog post | 10 | — | 0 | 10 | 9 90% |
| lethal trifecta | 10 | — | 0 | 12 | 10 83.3% |
| 9 | — | 0 | 33 | 32 97% | |
| 2025: The year in LLMs | 9 | — | 0 | 530 | 530 100% |
| https://simonwillison.net | 8 | — | 0 | 9 | 6 66.7% |
| Simon | 7 | — | 0 | 8 | 8 100% |
| Simon Willison's Weblog | 6 | — | 0 | 250 | 249 99.6% |
| Useful patterns for building HTML tools | 6 | — | 0 | 7 | 6 85.7% |
| Moltbook is the most interesting place on the internet right now | 6 | — | 0 | 9 | 7 77.8% |
| https://simonwillison.net/ | 6 | — | 0 | 7 | 6 85.7% |
| The lethal trifecta for AI agents: private data, untrusted content, and external communication | 6 | — | 0 | 17 | 17 100% |
| here | 6 | — | 0 | 7 | 7 100% |
| Here’s how I use LLMs to help me write code | 5 | — | 0 | 9 | 8 88.9% |
| Your job is to deliver code you have proven to work | 5 | — | 0 | 6 | 5 83.3% |
| prompt injection | 5 | — | 0 | 6 | 6 100% |
| Stuff we figured out about AI in 2023 | 5 | — | 0 | 7 | 7 100% |
| Large language models are having their Stable Diffusion moment | 4 | — | 0 | 8 | 8 100% |
| Bing: “I will not harm you unless you harm me first” | 4 | — | 0 | 7 | 7 100% |
| Simon Willison’s blog | 4 | — | 0 | 6 | 6 100% |
| Prompt injection: What’s the worst that can happen? | 4 | — | 0 | 4 | 4 100% |
| ai | 4 | — | 0 | 11 | 11 100% |
| My approach to running a link blog | 4 | — | 0 | 17 | 17 100% |
| llms | 4 | — | 0 | 11 | 11 100% |
| Embracing the parallel coding agent lifestyle | 4 | — | 0 | 4 | 4 100% |
| Not all AI-assisted programming is vibe coding (but vibe coding rocks) | 4 | — | 0 | 8 | 8 100% |
| ai-ethics | 4 | — | 0 | 11 | 11 100% |
| One Human + One Agent = One Browser From Scratch | 4 | — | 0 | 6 | 6 100% |
| vibe engineering | 4 | — | 0 | 4 | 4 100% |
| Embeddings: What they are and why they matter | 4 | — | 0 | 10 | 10 100% |
| CaMeL offers a promising new direction for mitigating prompt injection attacks | 4 | — | 0 | 6 | 6 100% |
| generative-ai | 4 | — | 0 | 11 | 11 100% |
| LLM predictions for 2026, shared with Oxide and Friends | 4 | — | 0 | 7 | 7 100% |
| Things we learned about LLMs in 2024 | 4 | — | 0 | 4 | 4 100% |
| post | 4 | — | 0 | 4 | 3 75% |
| wrote | 3 | — | 0 | 3 | 3 100% |
| AI-enhanced development makes me more ambitious with my projects | 3 | — | 0 | 15 | 15 100% |
| Vibe engineering | 3 | — | 0 | 3 | 2 66.7% |
| Model Context Protocol has prompt injection security problems | 3 | — | 0 | 4 | 4 100% |
| blog | 3 | — | 0 | 3 | 3 100% |
| Stable Diffusion is a really big deal | 3 | — | 0 | 7 | 7 100% |
| Prompt injection | 3 | — | 0 | 3 | 3 100% |
| http://simonwillison.net/static/2010/redis-tutorial/ | 3 | — | 0 | 8 | 8 100% |
| Slop is the new name for unwanted AI-generated content | 3 | — | 0 | 4 | 3 75% |
| https://simonwillison.net/2026/Feb/5/the-world-factbook/ | 3 | — | 0 | 3 | 1 33.3% |
| Claude: Speed up responses with fast mode | 3 | — | 0 | 5 | 5 100% |
| Now add a walrus: Prompt engineering in DALL-E 3 | 3 | — | 0 | 3 | 3 100% |
| article | 3 | — | 0 | 3 | 3 100% |
Frequently Asked Questions
What anchor texts are used to link to simonwillison.net?
This page shows all anchor texts found in backlinks pointing to simonwillison.net, 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 simonwillison.net.
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 simonwillison.net have?
The anchor text report for simonwillison.net 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.