Posts Tagged ‘SEO’

How Do You Search? What Search Engines Do You Use?

June 7, 2010 2 comments

Does anyone even use a library anymore to do research?  Not finding what you are looking for?  Want to dig a little deeper? Not finding what you are looking for?  Are you aware of all the other search engine options at your disposal?  Take a look at Wikipedia or the Search Engine List or the long standing website called ( it  means many in French).    Have you used or experimented with one of the 10 or so new semantic search engines?  They search differntly. 

In August 2009, I created a list of search engines and have provided it as an evergreen resource farther below so that you will be able to search deeper, intead of just “who” is most popular.  I encourage you to play with a few to see which ones you like/dislike in generating the types of results you need.

The point is that you have so many more choices!   

Do you only use Google exclusively? If so, for what? Everything under the sun? (Update, Summer 2011): Now you can search with just your voice as of June 2011, Google released Voice Search) What is your take on this newest way to search for the informaiton you need?Please see my full list below, if you want to experiment with other search options.

(Update Fall 2011): Since so many people are unemployed with the down turn of the US economy. I thought I would post Job Search Engine related websites as well. This of course warrents full post on its own, I imagine

List of Business Directories ( thanks to,

 To extend your search there are  semantic search engines.   Here is an article on Top 5 Semantic Search Engines  

Explanation of semantic search enging. A semantics search engine attempts to make sense of search results based on context. It automatically identifies the concepts structuring the texts. For instance, if you search for “election” a semantic search engine might retrieve documents containing the words “vote”, “campaigning” and “ballot”, even if the word “election” is not found in the source document. An important part of this process is disambiguation, both of the queries and of the content on the web. What this means is that the search engine — through natural language processing — will know whether you are looking for a car or a big cat when you search for “jaguar”.

When to use semantic search engines

Semantic search has the power to enhance traditional web search, but it will not replace it. A large portion of queries are navigational and semantic search is not a replacement for these. Research queries, on the other hand, will benefit from semantic search.

Semantic search portals

Enterprise semantic search engines


Hakia- Hakia is a general purpose semantic search engine, as opposed to e.g. Powerset and Cognition (below), that search structured corpora (text) like Wikipedia.  Hakia search results are organized in tabs: Web results, credible sites, images and news. Credible sites refer to results from sites that have been vetted by librarians and other information professionals invites by Hakia to identify credible web sites. For some queries (typically popular queries and queries where there is little ambiguity), Hakia produces resumes. These are portals to all kinds of information on the subject. Every resume has an index of links to the information presented on the page for quick reference.  The elements of these resumes will vary according to the nature of the query (e.g. biography, bibliography, timeline etc. for persons, government, economy, culture etc. for countries). Resumes are excellent for researching a topic and are my favorite Hakia feature. Often, Hakia will propose related queries, which is also great for research. For instance, if I search for Barack Obama, Hakia suggest I might be interested in information about Michelle Obama, Hillary Clinton, Democrats, Sarah Palin, John McCain, John Sununu and Joseph R. Biden Jr. as well. For some queries Hakia presents really poor results, but it is still in beta and is improving rapidly. Take a look at our interview with the people behind Hakia.

SenseBot SenseBot is a web search engine that summarizes search results into one concise digest on the topic of your query. The search engine attempts to understand what the result pages are about. For this purpose it uses text mining to analyze Web pages and identify their key semantic concepts. This way SenseBot helps you get a better grasp of what the relevant term is about. In this way you do not have to go through a large number of web pages and comb through results with incomprehensible expert definitions (or any definitions at all). The summary serves as a digest on the topic of your query, blending together the most significant and relevant aspects of the search results. It contains a tag cloud, relating your query to other relevant concepts and a list of sentences believed to define or describe your query. Each sentence is followed by a link to the source. Not all of the summaries are informative or even intelligible, but that is likely to improve; Like Hakia, SenseBot is in beta. This is bleeding edge technology — it’s evolving as we speak. Read a review of SenseBot.

Powerset- Powerseet is at present not a regular web search engine. It works best on smaller, relatively structured corpora.  The technology offers a comprehensive view of such information. You can test it on Wikipedia and Powerset definitely excels at this, structuring the information and presenting it in a way that, for research purposes, is a great improvement on Wikipedia’s own search engine. You can enter keywords, phrases, or simple questions in the search box. On the search results page, Powerset often answers questions directly. My favorite feature is the way it aggregates information from across multiple articles. “Factz” is a box that often appears in the search results and is a set of suggestions for reference queries based on the information available. For instance, when I search for Obama, Powerset offers links to information on what Obama has said about Robert Gates, Middle East, Pakistan, trade and more. Clicking one of these links brings up a box in the search results page with the actual words said by Obama and links to the articles in which the quotes appeared.

DeepDyve- DeepDyve DeepDyve is a powerful, professional research tool available for free for the general public. It is a research engine that lets you access expert content from the “Deep Web”, the part of the Internet that is not indexed by traditional search engines (e.g. databases, journals etc.).

Researchers, students, technical professionals, business users, and other information consumers can search Wikipedia or deep web resources within these categories: Life Sciences and Medical, Physical Sciences, Humanities and Social Sciences, Business and Finance, Patents, Legal, Clean Technology and Energy, IT and Engineering. Research sites’ search engines often rely on Boolean languages or hard-coded taxonomies, which constitutes a threshold and makes them hard to use (or even inaccessible) to anyone but insiders. DeepDyve is an advanced yet easy interface to these valuable sources of information. Your query can consist of anything from a single word to 25 000 characters. The search results are presented in a complex manner with many advanced options for refining, sorting or saving your search. Despite the complexity, the search results are relatively easy to navigate.

Cognition-Cognition has a search business based on a semantic map, built over the past 24 years, which the company claims is the most comprehensive and complete map of the English language available today. It is used in support of business analytics, machine translation, document search, context search, and much more.

You can use Cognition’s technology to search one of four bodies of information: (currently 1,858 volumes consisting of 675,704 files of federal case law in XHTML format). The release comprises US Supreme Court Decisions and Court of Appeals decisions from 1950 on.

MEDLINE (Medical Literature Analysis and Retrieval System Online) Abstracts: abstracts for life sciences and biomedical information from an international literature database. It covers the fields of medicine, nursing, pharmacy, dentistry, veterinary medicine, and health care, as well as fields with no direct medical connection, such as molecular evolution (currently 18,005,903 files).

The English version of Wikipedia. The complete New English Translation including text and translator notes of the Gospels of Matthew, Luke, John and Mark.  We tested Cognition on Wikipedia. On this huge volume of text, Cognition is especially useful for sorting out meaning in complex queries:

Phrases like “historical houses of worship & historical temples” Meaning: “worker on strike” vs. “strike oil in California”  Classes like “Indian tribes of Latin America” or “diseases of North American trees”

The technology that goes into solving queries like this is impressive and Cognition gives you valuable control over the assigning of meaning and classes in a user friendly way. The presentation of the search results is less than perfect, though, and I wish the cognition team would learn from Hakia or Powerset in this regard.
Claim: doesn’t have one, but its claim could be “It’s about the relationships, stupid”
Notes: Cluuz uses the search results of Yahoo Search Web Service, Microsoft Live Search, Alexa Web Search and the Technorati Search API to provide the results, with their visual representation beings its actual selling point – choose from charts, clusters, flash or lists. Target Language: none specified  added: July 7, 2008
Claim: “For knowledge, ask Cuil.”
Notes: Started out as the big Google attacker: was launched by former Google employees and is also toting the allegedly biggest index, “three times as many (pages) as Google and ten times as many as Microsoft”; semantically enhanced: search term recommender, related categories, related searched, and really really fast on day 2. The question remains: Wow, How Did Cuil Get So Much Publicity on Day 1?!
Target Language: On day 2, results for German searches were rather lousy added: July 30, 2008
Claim: Search less, understand more
Notes: has the instruction “Find a Person, Product or Thing” in its search field; entering “Cheese” (probably too banal) shows recommendations like “Chuck E. Cheese’s” (restaurant), “I want someone to eat Cheese with me” (film) and “Bubbles and Cheesecake” (band). You cannot search for things they haven’t in their list of persons products or things, so I cannot search for cheese. Choosing one of the suggested searches instead: Joe Biden. The graph Joe Biden shows links to Sarah Palin, Barack Obama, John McCain, New Hampshire and Katie Couric. There is something that looks like it’s to be used for facted seearch and one of the option ins “Joe Biden > cancelling”. This triggers “Joe Biden > cancelling > Mother-in-law”, “Joe Biden > cancelling > two days”, and “Joe Biden > cancelling > appearance” and may more confusing things. I just cannot figure out what to do with Evri?  Target Language: probably best with English added: Oct 6, 2008
Claim: none
Notes: has advanced, context-sensitive options to refine a search, e.g. by selecting related terms, type of web site , content, language or file format; advances search options include search with similar terms or for phonetic representation; one can also download their exalead desktop to index and search one’s PC – which I didn’t try
Target Language: English, German added: July 7, 2008
Claim: “where results make sense”
Notes: promises to “read” the content of sites it searchs (rather than search for keywords) and seek out the ones that feature “encyclopedia-style fact-based descriptions” (but doesn’t tell how it does what it does); similarly, results pages present full statements as result preview; makes a confusing distinction between “results from the primary (high quality) database” and others (low-quality results?) though. Target Language: seems to work in English only  added: July 7, 2008
Claim: “A Faszinating Feature Rich Search Fest”
Notes: “feature rich” in Fazzle’s context means ‘complex interface’; search operators (AND, OR, Title, etc) can be switched on/off using radio buttons; a number of tabs reading ‘null’ suggest that the interface can be personalized; the enhanced interface is even more difficult to understand
Target Language: not specified  added: July 7, 2008

Claim: “One search. Many sources. Broad discovery. Dynamic research”
Notes: searches Yahoo! and Wikipedia; displays search results in either outline view or map view; in the outline view, both clusters and a results list are displayed; allows filtering of results by detail, date, source and domain as well as keyword search within clusters; the map view presents clusters as circles of different sizes; both maps and outlines can be exported
Target Language: English (I think)  added: July 7, 2008
Claim: “A new Semantic Search engine dedicated to quality”
Notes: hakia and I got off on the wrong foot when it suggested Matilda as #1 answer for my question ‘who is the queen of England?’. Turns out this was just a misunderstanding: They did present Queen Elizabeth II as their top quality, i.e. #1 search result – but I mistook their symbol for top quality results as a symbol sponsored content.
Target language: not specified, results seem better in English  added: July 7, 2008
Claim: Tells You Who You Know Who Knows
Notes: a social seach engine that mines data from the social web (e.g. and the Semantic Web (e.g., not sure exactly, but it seems as if Tom Heath (creator of, member of the Linked Data initiative) is working on it; not sure either how the login works (no password required, 11-Sep-2008), but it is supposedly allowing you to filter people by proximity (Friends, Friends of Friends, etc.) and to weight results by experience, expertise and affinity scores
Target Language: none specified
added: July 7, 2008
Claim: none
Notes: a meta search engine that displays search results both as a map and as topic folders; the map is created within seconds, yet the flash-based design is a matter of taste and has zero-accessibility written all over it
Target Language: none specified
added: July 7, 2008

Claim: “powered by advanced natural language processing technology”
Notes: presents both clusters and s list of search results, draws strongly on wikipeda (like Powerset), but includes other sources as well, currently (July 2008) in alpha (i.e. not as mature as beta?)
Target Language: English
added: July 7, 2008

Me.Dium Social Search
Claim: “Search what the crowds are surfing”
Notes: say that it “enables users to find relevant information based on the current surfing activity of other people”; the crowds behind Me.dium are the alleged 2 million people who have downloaded the Me.dium Toolbar (July 2008; one can only guess how may of these are really using it); like Hakia and Cluuz, they are using the Yahoo! Search Boss service to accelarate and improve their service
Target Language: doesn’t seem to be relevant
added: July 7, 2008
Claim: “Find meaning, not just links”
Notes: Promises to be now (July 08) “defining over 2,000,000 terms, phrases and acronyms!”; search results page presents key words, related terms, and a preview of definitions; in my test searches, Metaglossary offered consistently more definitions than the define: search operator in Google Target Language: English added: July 7, 2008 (Mnemomap)
Claim: none / maybe “a search engine that tries to replace the search with fun”
Notes: generates a map from the search term that shows synonms, neighbours, tags and translations (but without context, these can be confusing – ‘queen’ was translated into German as ‘Dame’ and ‘Schwuchtel’, i.e. dame and a derogatory term for homosexual males); allows users to edit (and potentially improve) search results by ‘deleting’ unwanted results from the list  Target Language: English (map and search results), German (map only)  added: July 7, 2008
Claim: “The power of relevance”
Notes: breaks the process of making search relevant down into two steps: first, it presents you with a graph for your search term and asks you to choose one (!) node; then you move on to the search results; the former nodes are now visible as clusters to the left (makes you wonder why they chose to present the graph as interstitial instead of jumping to the clusters plus results list right away – because somebody built a visualization tool and was determined to use it somewhere in Mooter?)  Target Language: not specified, seems to work better with English  added: July 7, 2008

Claim: “Ontology Search, Selection and Browsing”
Notes: not a semantic search engine as such, but a search tool for the semantic web community, helping them find the right ontology, multilingual labels or top labels for their projects  Target Language: Multilingual added: July 7, 2008
Claim: “A better way to search and discover information in Wikipedia articles.”
Notes: only searches Wikipedia, shows fact summaries on top of search results pages, promises to find immediate answers to (simple) questions; hype factor is high, in particular after being purchased by Microsoft.
Target Language: English added: July 7, 2008
Claim: “Instant summaries of Amazon user reviews.”
Notes: A rather specialized search tool: It claims to be compiling a super-summary of Amazon user reviews, so that you’d only have to read one review instead of having to dig through several dozens of them; hyped after it was discussed on Slashdot; downside: I couldn’t test it as it only works with Amazon electronics, but I couldn’t find one product within Amazon electronics that it could process (July 2008)
Target Language: English (on added: July 20, 2008
Claim: “See & Find”
Notes: also calls itself a “visual find engine”; I’d recommend it to everyone who wants to create a tag cloud around a certain topic, e.g. for a presentation or blog entry, as it it creates logo enhanced tag clouds for each search term; not sure how good it is as a search engine Target Language: not specified added: July 7, 2008
Claim: “Visual search”
Notes: another visual search engine; the search index seems to be relatively small and it is not transparent where the searched files and documents are hosted (on the internet in general or actually on Riya?); allows users to search tags AND to add tags to selected items on the results page
Target Language: English (cannot handle German Umlaut) added: July 7, 2008
Claim:Search  Relate  Refine  Discover
Notes: Probably of appeal mainly to Search Engine Optimizers; run by Canadian company useAPI! Search: and “powered by Google” (whatever that means), it allows you to find related search terms that people have used. E.g. “Cupcakes” produces 199 related key words with English langauge settings (e.g. wedding cupcake, birthday cupcakes, cupcakes recipe, cupcakes recipes, etc), but only 10 (including “cupcakes resepti”) with Finnish language settings. Probably also good as a keyword localization tool.  Target Languages: British and American English, French, German, Spanish, Italian, Dutch, Danish, Finnish, Swedisch, Norwegian (as judged by the flags on their website), plus Arabic, Japanese, Chinese and Vietnamese (as judged by the tabs on the bottom) added: Oct 6, 2008
Claim: “semantisch suchen” (”searching semantically”)
Notes: The related terms search seems useful, and so does the service “Semantic Business” which includes (but is not limited to) a Keyword API, Brands API, TagCloud API and TextCloud API. The feature “Typos/Tippfehler” might be useful for the definition of hidden labels in a thesaurus. Target Language: German, English; currently (July 2008) working on Spanish Semantics added: July 7, 2008

Claim: “Semantic Web Search”
Notes: a search engine for the semantic community rather than a semantic search engine; searches (for) semantic web ontologies, documents and terms; search results are also available in RDF  Target Language: not specified
Claim: “Blaze search trails”
Notes: a social search engine with modest capabilities – allows you to follow other people’s search trails, presumably by registering the links that people clicked in their search results; the search results are, however, poorly displayed: my search for “queen” produced five links including “coming soon” and “untitled” and not even a preview of the URL; also only 12 people had searched for “Queen” before – I guess only few search terms reach threshold value on Trexy  Target Language: dominated by English searches  added: July 7, 2008
Claim: none – I’d suggest “Beam me away, Uji””
Notes: searches 6 Million web pages, but its selling point is the sci-fi interface; search results are displayed in a circular interface, with what could be keywords or tags appearing in the middle; clicking on any of these terms refines the search; flash overload  Target Language: not specifed (certainly German, French and English)  added: July 7, 2008
Claim: Make yourself visible
Notes: A microformats search engine, created by a small German company; it trakcs microformats on the web, but also accepts submissions of microformats providers; allows to search for contacts (hcard) and events (hcalendar)  Target Language: not specifed/relevant; has German and English interface  added: July 7, 2008

The Big ones: Glimpses of the Semantic Web
I don’t really dare to give Yahoo and Google, as they have their own place within this list, but let’s at least mention their current efforts:

Yahoo (actually a directory where all info is hand entered, but because of it long-standing history and sheer depth most think if it as a search engine) In March 2008, Yahoo announced plans to gradually support a number of microformats, including hCard, hCalendar, hReview, hAtom, and XFN, to support vocabulary components from Dublin Core, Creative Commons, FOAF, GeoRSS, MediaRSS and to support RDFa and eRDF markup to embed these into existing HTML pages. They also announced their support for the OpenSearch specification. Furthermore, the Yahoo! Search Boss webservice might help in particular niche search engines to improve their services – ReadWriteWeb as an interesting article about it.  added: July 7, 2008

In terms of relationship finding, Google sets is rather interesting: Enter apple and pear, and it will suggest cherry, sweet and chocolate. Enter apple and PC, and it will suggest mac, windows and microsoft.
added: July 7, 2008

List of International Search Engines

Alleba Alleba: Philippines search engine and highly organized directory of Filipino websites.
Ansearch Ansearch: Australia/NZ/UK/US. Ansearch Ltd is involved in various online media activities, including the search engine and the Soush online media network
Araby Araby: Middle East – Arabic language search engine owned by the Maktoob Group, which owns the world’s largest online Arab community; (Arabic only)
Baidu Baidu: China – The Google of China, Baidu is doing what no other Internet company has been able to do: clobbering Google and Yahoo in its home market.
Daum Daum: Korea – Daum is a popular web portal in South Korea which offers many Internet services including search, a popular free web-based e-mail, messaging service, forums, shopping and news.
Guruji India – an Indian Internet search engine that is focused on providing better search results to Indian consumers, by leveraging proprietary algorithms and data in the Indian context.
Goo goo: Japan – an Internet search engine and web portal based in Japan, which crawls and indexes primarily Japanese language websites. goo is operated by the Japanese telecomm giant NTT.
Miner Hungary – a vertical search engine for searching blogs, videos and other Hungarian content on the internet. indexes about 129.000 blogs. Slovenia – a Slovenian search engine and web portal created by Interseek. It’s the most visited website in Slovenia. It uses a technology created by Interseek written entirely in Java
Naver Naver: Korea – The undisputed number 1 search engine in Korea with over 16 million visitors and 1 billion page views per day.
Onet Onet: Poland – Polish language web portal and search.
Onkosh Onkosh: Middle East – Arabic language search.
Rambler Rambler: Russia -offers proprietary web search (Rambler Search), e-mail, rating and directory, media, ecommerce and other services to the Russian-speaking websurfer.
Rediff Rediff: India – India’s leading internet portal for news, mail, messenger, entertainment, business, mobile, ecommerce, shopping, auctions, search, sports and more.
Sapo SAPO: Portugal – Portuguese language search based in Portugal and focused on Portugal.
Search.CH Switzerland – a search engine and web portal for Switzerland. Founded in 1995 as a regional search engine, later many other services were added: phonebook, SMS service. Acquired by the Swiss Post.
Sesam Sesam: Norway, Sweden – Based in Norway and focused on Norway and Sweden.
Walla (in Hebrew) Walla!: Israel – Search the web in Hebrew with an Israel focus.
Yandex Yandex: Russia – Yandex (Russian: Я́ндекс) is a Russian search engine

Video SEO Tips: Strategically Boost Your Search Engine Ranking

January 11, 2010 17 comments

Even with my recent posts on the social media landscape, said landscape continues to morph at warp speed, and we are seeing more and more videos everywhere; on business sites, corporate news pages, personal websites, video hosting sites, mobile devices, social networks, blogs, cell phones, email and postings to video portals, and posting for clients.  The Government even has its very own video channel on YouTube.   

I had to post a video very recently and immediately realized there needed to be a strategy for this MarCom element as well to maximize my external outreach efforts.  So, I went on a little “virtual research trip.” 

According to eMarketer, 63% of Americans currently watch online video, up from 32% in 2007. I am sure this number is much is higher now.  Three years hence, is a life time in the social media world.

My focus is always to look at how the changing landscape can benefit communication and marketing professionals with new media strategies and tools.  To do more with less and to do it cost effectively. Therefore, I am constantly scanning the social media landscape. 

Because many users do not have unlimited web space, either as a paid service, or through an ISP offering, video hosting services are becoming increasingly popular, especially with the explosion in popularity of blogs, forums, and other social media interactive pages.

When posting a video from a business,  public relations, marketing and communication perspective it is imperative to understand how to leverage your social presence through online videos by applying Video Search Engine Optimization (VSEO) strategies. 

 You do not want to be the needle in the hay stack that nobody ever finds. You want your target audiences to find you!  With the rise of  our current “Moblution” and Internet hosted Video services, your goal is to ultimately rise to the very top in the top search engines and their respective ranking results.  Clearly, Google is giving preferential treatment to multimedia content in search results, and this is an important factor to know!  I can’t quantify this just yet, but it’s a personal haunch, which I will try to validate with a little more research (so stay tuned & I will update this blog).  But it is my personal opinion that online video is the fastest way to achieve top organic search listings.

Secondly, YouTube alone has more than 52,436,820 unique visitors a day and ranked as the third top Internet site in the US.          But it is also important to know that there are more than 30 other video notable video hosting sites.  And there are indeed many more!

I guestimate that what you/we/I want to accomplish is channel saturation and depth of penetration through syndication across as many video hosting sites as possible.  So, the question begs, how does one syndicate their videos out across various video sharing websites? And, how does one carry out VSEO? 

The end goal is to have your video “optimized” to appear highly ranked in Google’s search results.  Video Syndication Brings Higher Rankings and More Targeted Traffic. Therefore, the idea is to syndicate your video by sending it out across multiple video sharing websites simultaneously to obtain maximum exposure  using specific strategic key words for search term results.   Below are a few useful tips. There may be more, but this will get you started an out of the hay stack, so to speak.

Strategic VSEO Tips:     

  • Place online video presentations on public sites and intranet portals
  • Remotely update videos on video portal websites
  • Enable viral video sharing
  • Integrate comment & rating capabilities
  • Allow for approval-based or automatic requests for video distribution
  • Capture statistics on syndication, viewership, Search Engine Ranking, redistribution performance


  1. Create Relevant, Unique, Informative Videos that speak to your target audiences 
  2. Consider Your Video thumbnails – A video thumbnail is what users see first when they make their decision as to whether or not to view your video or another. Video search engines and video sharing websites use different methods to grab and show the thumbnail for your video. Some engines use the first frame of the video while others, like YouTube, will often take the thumbnail from the exact middle of your video.
  3. Make Your Videos Less Than 5 min. Long – One of the worst things that you can do is to create a long-form video as most users watch videos 3 minutes or less. If you do have a video that is longer than 5 minutes in length, try to break it up into smaller videos and make sure to tag those accordingly.
  4. Sitemaps – For video that is hosted on your own website use of a video site map on your site will help to filter page rank as well as direct search engines where to index your content. Use relevant keywords within the anchor text of all links to the videos that are featured in your video sitemap.
  5. Surrounding HTML -In order to get your video to rank well, you clearly will need to provide the search engines with text based content that is relevant for them to index and rank you for. Ssurround your video content with relevant content (on-page) as well as related links.  Add a text transcript or external captions as text that you publish on the page with the video.
  6. Descriptive Meta Data – Use relevant keywords in your meta data to optimize your video.   Include a keyword rich description of the video within the meta descriptions.
  7. Title - Make sure that you use the relevant keywords in your title as this is likely the first thing that the search engines will use to identify your video. Also try using a catchy or unique title that will not only give attention to your video but convey your theme, product, or brand.
  8. Tags – tag your videos with key phrases that are reflective of the content.
  9. Keyword “video” - Eric Papczun pointed out at the Search Engine Strategies conference in NY this past April, that a lot of people add the word “video” to their search query keyword phrase. As a result, make sure that you add the word “video” to your title, description, meta data, etc.
  10. Optimize your video for Important Key Phrases – You might want to optimize your video for terms users are likely to be searching for. Tag your video with these terms, consider naming the file name of the video with these terms in mind.
  11. Optimize URLs - In the same way that you do this for other web pages, you will want to optimize your URLs so that they to contain information about the video. Also, make sure you only have one video per URL.
  12. Branding – Many of us have found that video marketing is a great tool to help generate brand awareness with your potential customers. Use a watermark throughout your video to help incorporate your brand.  This will help to drive users back to your main site if the video is hosted elsewhere.
  13. Inbound Linking – Link to videos using important keywords in anchor text.
  14. Upload to Video Sharing. Simultaniously upload to video portals (tubemogul & here as a paid service called Hey!Spread) and provide links back to related content and other videos on your Internet site. Here is a list of ways to get your Videos On Video Search & Sharing Sites
  • Miro – Miro converts any media RSS feed into a channel.
  • Video Upload Pro – Software to submit your videos to multiple video sites including Atom Films,, BoFunk, Bolt, ClipShack, EvideoShare, Flurl, Google Video, Guba, Jumpcut, Live Video, Myspace Video, PutFile, Veoh, Vimeo, Yahoo Video, Youtube, and more.
  • HeySpread – Free online tool to send videos to multiple sites
  • TubeMogul  TubeMogul is the hands down the best free tool to submit videos to multiple video sharing sites in one go. Currently supporting Metacafe, MySpace, Yahoo, Revver, AOL Video, DailyMotion, Blip, and BrightCove, TubeMogul does a great job at syndicating your videos out to these video sharing sites with full support for Titles, Tags, and Descriptions and provides analytics for you to track your video views across all of these websites. I highly recommend this free tool.   More about TubeMogel: TubeMogul’s free beta service has been live since November of 2006, and in January 2008, TubeMogul announced the launch of its Premium Products, which include a host of new professional features.  Through its acquisition of Illumenix in October 2008, TubeMogul is also able to offer rich engagement and performance metrics to video sharing sites, content creators and advertisers.  Brett Wilson, Co-founder and CEO, Brett leads the strategic direction for TubeMogul. He spent the first three years of his career as a consultant for Accenture. Next, he founded and led, a profitable e-commerce company that obtained over $69 million in revenue and was successfully acquired.

16. Allow Embed Code – Definitely enable sharing and allow users to embed your video code into their own blogs and websites. This will help to create backlinks to your video which can help increase the video search optimization as well as make your video go viral.

17. Encourage Ratings and Reviews - When you encourage users to rate your video, search engines will pay attention to videos that have higher ratings. In addition, videos which get high ratings from users tend to be the same videos that users often mark as favorites and share with other users.

18.  Submit each video sharing site destination URL to Onlywire for social bookmarking

19. Check for your video across listings within specific video search engines and video search sites.

20. Syndicate – Submit your video RSS or MRSS.  Here is a list of where to submit to Video RSS and MRSS Feeds


The Future: Mobile Video Hosting

A more recent application of the video hosting services is in the mobile web 2.0 arena, where video and other mobile content can be delivered to, and easily accessed by mobile devices. While Internet based video-hosting services such as YouTube ( and many others) have developed means by which video can be watched on mobile devices, mobile-oriented video hosting services is an evolving component of the new Mobilution to come, in rapid succession. So, if I had a crystal ball, I would suggest learning all I could about VSEO strategies inside and out, and then strategize how your futre video productions/hosting and distribution will fit into Mobile Video for Mobile Devices (MVMD) will be developed, deployed and optimized for VSEO…because…..

the future is not for the Internet viewership but with Mobile Devices, where we will be decoupled from the desktop.  A mobile live streaming software called Qik allows the users to upload videos from their cell phones to the internet. Currently videos are stored online and can be shared to various social networking sites like Twitter, Facebook and YouTube and others.  Videos will be stored on the servers and can be watched from both the mobile devices and the website.

I suggest that the future is in the mobile device.  Start strategizing now and begin formating your videos to meet those screen/size/distribution requirements. 

Also, a final note, please dont forget to continuoulsy build upon some of what I have previously posted in my other blog topics. For example, create a link of your video and submit it through and track it through both and strategically distribute through the Twitter Universe as well. Then send your linked video through Mobile Marketing Services for distribution via cell phones.

Stay Tuned, as I will next talk about strategically Revamping Your Business Internet Press Rooms and Press Releases!  All the previous posts build upon the Changing Media Landscape, Social Media Landscape and Ultimately Web 2.0 enabling and maximizing your communication and marketing efforts into a creshendo of internal and external reciprocity with continuous communcations, or Now PR.

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