To find the right people I downloaded a list of some of the most popular users within the community. To do this, I used Screaming Frog SEO Spider to gather a list of all the URLs on the website. I then exported this list into an Excel spreadsheet and filtered the URLs to only show those that were user profile pages. I could do this because all of the profile pages had /user/ within the URL.
Search engines may penalize sites they discover using black hat methods, either by reducing their rankings or eliminating their listings from their databases altogether. Such penalties can be applied either automatically by the search engines' algorithms, or by a manual site review. One example was the February 2006 Google removal of both BMW Germany and Ricoh Germany for use of deceptive practices. Both companies, however, quickly apologized, fixed the offending pages, and were restored to Google's list.
SEM is the wider discipline that incorporates SEO. SEM includes both paid search results (using tools like Google Adwords or Bing Ads, formerly known as Microsoft adCenter) and organic search results (SEO). SEM uses paid advertising with AdWords or Bing Ads, pay per click (particularly beneficial for local providers as it enables potential consumers to contact a company directly with one click), article submissions, advertising and making sure SEO has been done. A keyword analysis is performed for both SEO and SEM, but not necessarily at the same time. SEM and SEO both need to be monitored and updated frequently to reflect evolving best practices.
Basically, what I’m talking about here is finding websites that have mentioned your brand name but they haven’t actually linked to you. For example, someone may have mentioned my name in an article they wrote (“Matthew Barby did this…”) but they didn’t link to matthewbarby.com. By checking for websites like this you can find quick opportunities to get them to add a link.
A good example is Facebook Custom Audiences. Within this Facebook supports email targeting, the ability to upload customer email addresses and then target those users on Facebook with tailored ads. This lets you micro-segment based on your existing customer database. One application is customer loyalty marketing, promoting offers to existing high value users via Facebook ads.
While you are updating your website’s copy, you’ll also want to implement changes in your HTML – specifically, in your H1 and H2 title tags, as well as your meta descriptions and URLs. You’ll want to put your most relevant keywords in these sections of your website HTML. Search engines take into account the words in these sections of your website’s HTML when listing out relevant webpages in a search result.
What you are in fact talking about, are Google's death stars like the Shopping box, Knowledge Graph etc. It's fully understandable why many SEOs can't stand them 'cause whole categories of websites (price comparison platforms, for instance) have already fallen victim of such death stars, and there will be certainly numerous other portals, which will lose almost all of their traffic in the near future. Despite your (quite good) suggestions on how to circumvent such an issue, the situation for such an endangered portal can be hopeless when it's its whole business model, which a new Google feature makes obsolete. See geizhals.at for a very famous example.
People use search engines to get more information about the products or services that they are interested in purchasing, as well as the businesses that they are interested in purchasing from. Consumers will turn to search engines before doing business with a large national company, and they will also utilize search engines when planning to make local purchases as well.
The Google, Yahoo!, and Bing search engines insert advertising on their search results pages. The ads are designed to look similar to the search results, though different enough for readers to distinguish between ads and actual results. This is done with various differences in background, text, link colors, and/or placement on the page. However, the appearance of ads on all major search engines is so similar to genuine search results that a majority of search engine users cannot effectively distinguish between the two.