Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| http://www.candelatech.com | 6 | — | 0 | 23 | 18 78.3% |
| Website | 2 | — | 0 | 2 | 1 50% |
| 6.2.1 Max Connection 32 station throughput | 1 | — | 0 | 1 | 1 100% |
| http://www.candelatech.com/~greear/vlan.html | 1 | — | 0 | 1 | 1 100% |
| 6.6.2 2-hop Mesh Backhaul Rate vs Range | 1 | — | 0 | 1 | 1 100% |
| 6.3.1 Rate vs Range | 1 | — | 0 | 1 | 1 100% |
| 6.6.1 Mesh Backhaul Rate vs Range | 1 | — | 0 | 1 | 1 100% |
| 6.5.3 Automatic channel selection. | 1 | — | 0 | 1 | 1 100% |
| 6GHz 16-sta | 1 | — | 0 | 1 | 1 100% |
| 6.6.3 Mesh Roam | 1 | — | 0 | 1 | 1 100% |
| 6GHz 24-sta | 1 | — | 0 | 1 | 1 100% |
| candelatech.com | 1 | — | 0 | 1 | 1 100% |
| 6.2.2 Max TCP Throughput | 1 | — | 0 | 1 | 1 100% |
| 6.? Preamble Puncturing. | 1 | — | 0 | 1 | 1 100% |
| 6.2.3 Airtime Fairness | 1 | — | 0 | 1 | 1 100% |
| 6.2.4 Dual Band Throughput | 1 | — | 0 | 1 | 1 100% |
| 2.4/5GHz 16-sta | 1 | — | 0 | 1 | 1 100% |
| 6.4.3 Downlink MU-MIMO. | 1 | — | 0 | 1 | 1 100% |
| Slide presentation for Candela Technologies' TR-398 issue 4 solution. | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| 6.3.3 Peak Performance | 1 | — | 0 | 1 | 1 100% |
| 6.4.4 Multicast Multi-Station | 1 | — | 0 | 1 | 1 100% |
| Ben Greear | 1 | — | 0 | 1 | 1 100% |
| 6.5.2 AP Coexistence | 1 | — | 0 | 1 | 1 100% |
| 6.4.5 Uplink MU-MIMO | 1 | — | 0 | 1 | 1 100% |
| 6.2.5 TCP Bi-directional Throughput | 1 | — | 0 | 1 | 1 100% |
| 6.4.1 Multiple Stations Performance | 1 | — | 0 | 1 | 1 100% |
| board-2.bin | 1 | — | 0 | 2 | 2 100% |
| 6.5.1 Long Term Stability. | 1 | — | 0 | 1 | 1 100% |
| 6.2.8 Multi-Band Throughput | 1 | — | 0 | 1 | 1 100% |
| 6.3.2 Spatial Consistency | 1 | — | 0 | 1 | 1 100% |
| 6.2.9 OFDMA 6GHz 31-sta | 1 | — | 0 | 1 | 1 100% |
| 6.1.1 RX Sensitivity at different angles and encodings. | 1 | — | 0 | 1 | 1 100% |
| 802.11 standard | 1 | — | 0 | 1 | 1 100% |
| 6.2.6 Latency under Load Test | 1 | — | 0 | 1 | 1 100% |
| Candelatech | 1 | — | 0 | 2 | 2 100% |
| 6.5.6 MLO (eMLSR). | 1 | — | 0 | 1 | 1 100% |
| Here you can see | 1 | — | 0 | 1 | 1 100% |
| 6.2.7 Quality of Service | 1 | — | 0 | 1 | 1 100% |
| 6.4.2 Multiple Association Stability | 1 | — | 0 | 1 | 1 100% |
| Candela Technologies | 1 | — | 0 | 5 | 5 100% |
| CT712 | 1 | — | 0 | 1 | 1 100% |
| web page | 1 | — | 0 | 2 | 2 100% |
| LINUX VLAN + Cisco HOWTO | 1 | — | 0 | 1 | 1 100% |
| 樣本測試報告 | 1 | — | 0 | 2 | 2 100% |
Frequently Asked Questions
What anchor texts are used to link to candelatech.com?
This page shows all anchor texts found in backlinks pointing to candelatech.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 candelatech.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 candelatech.com have?
The anchor text report for candelatech.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.