Can someone explain what "inbound text links" are to me? I have an idea but I just want to make sure before I start building them. I did a "related" search on google for my site and it came up with zip.
An inbound link is when another site links to yours. For example this text link Google is providing Google with an inbound text link.
Hi Mike, if you want to see the inbound links to your site, you should use the 'link' command on Google. link:www.yoursitename.com Cheers
Can someone explain what "inbound text links" are to me? - inbound links will help you build PR and eventually generate some traffic. but don't forget that in able to rank high in google, you must have inbound text links from related sites.
Well, I did a check and I know I have more links out there than google is showing. Do inbound links have to be one-way? I have done at least 10 link exchanges (or more) that are not showing up with the link command.
When Google all started is was at that time called "Back Rub" its counted they amount of links to one site from others they were like votes , more links more votes , more votes higher rank. The algo or math eqaution that runs Google has changed not to be cruel but Google has tried to pull up the ladder behind them by claming alot of crazy things that it does not see back links you cant buy them they know all about that all types of stuff which most is a lie. The fact is Google may have the most amount of backlinks about 215,000,000 as of today according to www.marketleap.com . What they mean well if you can spread the in bound links to you around enough meaning many sites and many class c's on different ips and use themed links you will rank . "PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn)) that ina nut shell is Google to some extent no pr , no real ranking how does one get pr from other sites with pr so what does the above eqaution mean ? 1. PR(Tn) - Each page has a notion of its own self-importance. That’s “PR(T1)†for the first page in the web all the way up to “PR(Tn)†for the last page 2. C(Tn) - Each page spreads its vote out evenly amongst all of it’s outgoing links. The count, or number, of outgoing links for page 1 is “C(T1)â€, “C(Tn)†for page n, and so on for all pages. 3. PR(Tn)/C(Tn) - so if our page (page A) has a backlink from page “n†the share of the vote page A will get is “PR(Tn)/C(Tn)†4. d(... - All these fractions of votes are added together but, to stop the other pages having too much influence, this total vote is “damped down†by multiplying it by 0.85 (the factor “dâ€) 5. (1 - d) - The (1 – d) bit at the beginning is a bit of probability math magic so the “sum of all web pages' PageRanks will be oneâ€: it adds in the bit lost by the d(.... It also means that if a page has no links to it (no backlinks) even then it will still get a small PR of 0.15 (i.e. 1 – 0.85). (Aside: the Google paper says “the sum of all pages†but they mean the “the normalised sum†– otherwise known as “the average†to you and me. and there you have it Good luck The SEO Gorilla
Definitely, do not use Google for backlink analysis, rather do with Yahoo, it´s the same. Google´s support to "link:" is very low, it only finds couple of PR4+ links.