In 1998, two graduate students at Stanford University, Larry Page and Sergey Brin, developed "Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links. PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web, and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.
See the screenshot below for some of the sections for specific recommendations that you can add which will provide the meat of the document. Keep in mind this is a very flexible document – add recommendations that make sense (for example you may not always have specific design considerations for a project). Remember, it will be different every time you do it.
In a very crowded, noisy space – entrepreneurs and small business owners with a ton of “experts and influencers.” How do I get “above the noise?” I have built up a great brand and, I think, some great content based on a boatload of practical, real-life experience. I also have some products and services that I’m trying to sell, but I remain, “all dressed up, with no place to go.” Thoughts?
Specifics: Be as specific as you can with your recommendations. For example if you’re suggesting partnering with meal home delivery sites, find out which ones are going to provide the most relevant info, at what cost if possible, and what the ideal partnership would look like for content and SEO purposes. Even provide contact information if you can.
In March 2006, KinderStart filed a lawsuit against Google over search engine rankings. KinderStart's website was removed from Google's index prior to the lawsuit, and the amount of traffic to the site dropped by 70%. On March 16, 2007, the United States District Court for the Northern District of California (San Jose Division) dismissed KinderStart's complaint without leave to amend, and partially granted Google's motion for Rule 11 sanctions against KinderStart's attorney, requiring him to pay part of Google's legal expenses.
Instead, in this instance, we started at wireframe stage, plopping in keywords and meta tags. Of course, the site really needed those things, and although it launched technically “optimized”, it wasn’t enough to provide a better product than our top competitor(s). A product that people want to visit, revisit, email to friends, share on social networks, and link to more than our competitors. It wasn’t even enough to move up in the rankings.
I completely agree that defintion of a target audience isa great first step, but would ask if adding in competitors to the analysis (mentioned here as a later step) helps draw out who your target audience would be via comparisons, i.e. showing who you are an who you are not - would be very interested to hear opinions on how this tactic can be used within the overall step in coordination with targeted keyword discovery.