Freeware Sitemap Creators

• Devintelligence SitemapGenerator (Windows)
• GSiteCrawler (Windows)
• GWebCrawler & Sitemap Creator (Windows)
• G-Mapper (Windows)
• MediaCET Diadematus (Windows)
• Site Magellen (Windows)
• Sorrowmans Sitemap Tools (Windows)
• Vigos Gsitemap (Windows)
• Web-design-pros.ca Sitemap.xml.gz Generator (Java Application)

There are also several web-based tools to create sitemaps online. These tools are not platform dependent, so if you’re on a Mac, you’re in luck. Same goes for other OSes. Some of these online tools do come with limitations, however. Many limit the number of URLs that can be included in the file. So, for a site with numerous URLs, I suggest using Google’s new serverside sitemap tool or perhaps buying a more-robust option.

Free Web-based Sitemap Creators

• ScriptSocket Sitemap Generator
• ResourceSEO Online Sitemap Generator
• Enarion phpSitemapsNG
• XML-Sitemaps Generator
• AuditMyPc.com Sitemap Generator
• Free Sitemap Generator
• Neuroticweb.com Sitemap Generator
• SitemapDoc
• AutoMapIt
• Sitemapspal
• Smart-IT-Consulting Google Sitemaps XML Validator
• Safe Area SitemapGenerator

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After ruining many hundreds of lives, and captivating the world with a mysterious reign of tyranny, PageRank is finally going to  meet his maker: the all powerful Gumby. His life was cut short by Google’s executioners. The company, according to some sources is seeking an image that is more than two dimensional and the spawn of Gumby was obviously no longer the right figure. Rumor has it that the candidates for his replacement are varying twigs and sticks – all characteristically overbearing. No matter who takes the place of the green bar, they have a hard road ahead.

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There are good reasons to use a hyphen when naming files on your web site. Google treats underscores as “word characters” which means that it is an extra alpha character in the a-z A-Z range. Imagine that it is a new character that follows the letter Z and that any time it’s used, it is essentially like placing another letter in a series of letters, so that “the_real_deal” becomes one word instead of three, and really becomes nonsensical as such. The same thing happens with your file names if you use underscores. Hyphens are treated as “non-word characters” by Google, so that when you use a hyphen between the words in a document name, Google parses out each word as if the hyphen were a space. Here are some compelling reasons to believe that you should hyphenate or die:

Underscoring the Underscore with Scorn

The Real Deal with Hyphenation

The Version without Hyphens or Underscores has the Same Results and the Hyphenated Version

Here’s a case where a picture is worth way more than a thousand words. How about 101,000,000 results for the-real-deal compared to 91,000 for the_real_deal. Notice how the hyphenated search returns dictionary linked terms for real and deal? The underscore version doesn’t because Google does not read it as three words. If Google doesn’t read your query as three words, do you think you’re document names will be seen differently? That wouldn’t make sense would it?

It that’s not enough to convince you, maybe Mr. Cutts can:

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Here’s the link to the registration page for quality raters.

Get a Job Making Search Results Align with Business Goals

I just had to throw this in. Below is an article I wrote in 2006:

A Historical Look at the Major Search Engines and SEO

1994

* WebCrawler launches
* Lycos launches
* Yahoo! is founded

1995

* AltaVista launches
* Excite launches
* Inktomi launches
* Infoseek launches
* Yahoo! goes commercial (incorporates)
* Little if any optimization had been attempted by those outside of search engines
* Some pioneering sorts had forayed into optimization tied to alphabetical placement in the Yahoo! directory, for example setting up a domain or a site/business name beginning with a number or the first few letters of the alphabet

1996

* Those who had begun to experiment discovered some value in lexical density and keyword placement
* Sites submitted to Yahoo! were, in great number, listed within a week, without much restriction, so growth had truly taken off
* The first papers begin to appear on the web about text matching and data mining – as well as interviews with search engine engineers
* Indexing as an understood methodology began attracting interest and many had discoverd the nature of the core database and scoring structure

1997

* A select few surface, having completely determined the algorithmic parameters of Excite’s ranking calculations
* This knowledge gave way to “page jacking” and “baiting” of websites
* SEO explodes as people began to see simple and easy results in 24 hours with Infoseek’s new update cycle
* Spam becomes a very serious problem

1998

* Yahoo! Web Search powered by Inktomi
* After several papers were delivered at the WWW conferences, it became clear search engines would start moving toward off-page criteria in indexing algorithms
* Decoding algorithms became very sophisticated in 1998 and 1999
* Search engines lean toward increased complexity with multiple languages, term vectors, and other language expertise
* Google jumps into the fray with an ax
* Doorway page generators arrive and are implemented in large numbers
* SEO firms begin to decline (as their clients are banned from Google, in particular)
* The authority model has established Google as a dominant leader

1999

* The influence of Google becomes fully manifested in the industry
* Link popularity tactics grow due to Google’s influence and increasingly undermine the power of Google

2000

* Infoseek is gone
* Teoma founded
* Google gains more hold – other engines take their places in what will be the background
* Goto.com (to be Overture and then Yahoo! SM) establishes a strong presence on hubs – Yahoo, AOL and MSN
* Efforts in SEO shift almost completely to a Google-centric methods and processes and the core innerworking of Google’s technology becomes widespread knowledge

2001

* Ask Jeeves (Ask.com) acquires Teoma
* The world of SEO begins a steady transition into white hat methods due to the use of blacklists and whitelists and the associative impact they carry
* Algorithmic changes from this point forward are incremental, and a growth in editorial controls enters a steady period of growth
* SEs become increasingly like portals (despite the antithetical pronouncements of some)
* SEO and search technology advancement drifts into a doldrum

2002

* A fairly uneventful year comes to pass, primarily due to the pessimism that has taken hold of the technology sector and the global economy
* Google has managed to uphold its appearance as being vastly capable, by patching its technology with human capability
* Buyout planning gets underway due to search techology reaching a developmental lull

2003

* Yahoo! acquires Inktomi
* FindWhat acquires Espotting
* Google acquires Applied Semantics
* Overture acquires Alta Vista
* Overture acquires Fast (AlltheWeb)

2004

* AlltheWeb switches to Yahoo! Search
* Ask Jeeves acquires Excite, iWon, My Way
* Lycos Search discontinued
* Yahoo! Search launches (first original results)
* MSN Search Beta launches
* Google Index Size reaches a reported 8,058,044,651 documents

2005

* Overture renamed Yahoo! SM
* Ask Jeeves acquires Excite Europe
* InterActiveCorp agrees to a $1.85 billion buyout of Ask Jeeves
* MSN Search launches

2006

* SE traffic 5.1 billion searches per month
* Ask.com – Jeeves retires
* Zeal Directory discontinued

2002: Forward or Not?

SEO has changed little since 2002. Many black hat tactics that were effective in 2002 remain effective in 2006, illustrating the inability of search engines to combat various techniques without some form of human contribution. Editorial intervention has therefore become a part of the overarching scheme, and what is learned from the editorial element is inevitably logged. Useful information is gathered from banned sites as well as sites that are considered to epitomize good citizens of the web. This leads to the maintenance of what we’ll call blacklists and whitelists. These human created lists or databases are the means by way of which search engines have been able to mend holes in the proverbial dike, whilst innovation has come to a “crawl”. By enlisting users to report spamdexing, search engines have largely been able to keep the appearance of having a technology that is as effective as it was in the not-too-distant past. With the mass proliferation of knowledge regarding off-site ranking techniques, it was only a matter of time before patches would be needed. And, with a few clever tweaks and a small human army, the engines managed to appear impervious to a multitude of would-be benefactors. Over time, such a tenuous context is bound to become more-visibly unfavorable for search engines, without an increase in editorial capacity in proportion to the growth of content and the increasing prevalence in manipulation of search results.

Certainly search has become less like a pure technology than it was 6-7 years ago. It has also become more focused on pattern matching, in various respects. For instance, try typing a phone number into Google. The phone number pattern is one of many patterns stored in a database that sits alongside the standard index. When a user query is submitted to Google, this secondary database is scanned for a match, if one is found, the pattern is passed to yet another database, such as a phone directory. If a match is found, this match will be blended with Google’s index results. Search engines are likely using the appearance of such patterns as ways to determine the credibility of a website or a domain. The presence of a page that contains a string of numbers which matches a defined phone-number pattern is likely to boost a website’s credibility. The same is true of a pattern consistent with the pattern of a physical address. Spam or rogue sites are not likely to reveal such information, but may nevertheless seed their pages with junk patterns which seek to fool search engine spiders.

The following model notes the importance of editorial controls which run parallel to search technology, though it does not tie this factor into the scoring mechanism, which is probably more than a black and white process – something probably akin to a grading system. This aspect of the overall search landscape is not publicized due to the fact that such methods run counter to the image of companies that tout technological purity. The reality is that machines have yet to evolve to a point where they can visually interpret meaning and reliably resolve ambiguity.

Simplied Search Engine Results Rank Calculation Diagram

Being that editorial or associative controls are in many respects more readily carried out and do not require heavy-handed alterations to search algorithms, which in turn may require substantial increases in machine resources, it stands to reason that such controls are fully institutionalized. And, given the recent growth in the number of means one has a available to manipulate algorithmic determinations, editorial intervention has become even more necessary. The widespread adoption and understanding of CSS, for instance, has brought to the picture a number of ways to hide or manipulate webpage text in a “spurious” capacity. Though the code used to carry out any deceptive intent will not likely differ from the code used in a “fair” manner. Given this, algorithms are in no way comparable to humans, insofar as recognizing the nature of the usage. And, even though there are technologically sound ways of achieving recognition, they are not presently in use for large-scale (multi-billion document) indexing pursuits, due to storage needs and resource dependence.

Having been in an editorial role, in the early days of search engines, this need has always been clear to me. Though, the financial capacity to truly tackle the monumental task of human-driven quality control is only made a reality by Google. Other enterprises attempted, but the construct was not scalable either due to a lack of funding or a platform unable to scale efficiently. And, to think, Google used to snub other engines pumped up on an ego of algorithmic might. Alas mathematics, and good night.

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Google's Semantic Weave

A Little Co-LSI?

Adwords and LSI - A Bit of a Reach?

So here we have some root tokens at work, as evidenced by the truncated string matching that has taken place. Google clearly groups discreet strings from the general English lexicon, but in exactly what capacity, it would be difficult to determine. In situations where there are no exact string matches, Google has delved into not only the root pile but a matrix of co-occurring strings which cross-match within the root pile to locatd combinations of root-derived strings that co-exist on pages and satisfy my less-than-likely search.

Yahoo! and Bing return vastly different results. While Bing associates “CNG” with “Compressed Natural Gas” and highlights both terms within its results, Yahoo! does not seem to make the same association. Bing returns the first result with an exact match for “CNG veh” and Yahoo! does so with its second result. Both search engines return matches that tend to occur in non-HTML documents. Neither return token or root matches. Yahoo! suggests that I “Also try: cng veh in” as a search. Bing makes no suggestions.

Google associates computers and competition with the “comp” in the query “comp nat gas,” but fails to associate the more obvious “compression” or “compressed”. Four of the first 10 results for “comp nat gas” actually contain the word “compression” without highlighting, which seem to indicate, that though the term is present, there is not a strong enough association to merit confidence.

There are instances within results where associative confidence is present only in certain sections of the results content. Check out the bottom-of-page results for “cng veh” where Google highlights the Honda NGV in it’s similar searches, and twice fails to highlight “cng” which was actually a string in my query!

Loose Associations: Google

Any qualified takes on these discoveries are mighty welcome.

My theory is that these are perhaps some of the common roots at play in the associative partial-word substitutions seen in the examples above. Is it possible that there is some more-loosely-constructed means to determine the substituted words – one which does not rely on a defined lexicon and a matrix of lexical roots? Is this result of some substring or back tracking function in tandem with co-occurrence probabilities?

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Double Your CTR
Master click appeal with 20
proven copy writing tactics

21. Copy with specific means to a particular benefit or solution will often outperform copy for a free offer:

Double Your CTR
Master click appeal with 20
proven copy writing tactics

vs.

Double Your CTR
Learn the secrets of click appeal
Download a free ad copy guide

22. “You need to” is a phrase worthy of testing. You need to test this phrase in your ad copy.
23. People love secrets. “Secret” is a word that often gets attention. Secrets more than not generate clicks.
24. Have you “exposed” anything in your ad copy? If not, put “exposing” to work for you.
25. Experiment with capitalization. Use it for emphasis, and don’t overuse it. Highlight the important keywords only.
26. Avoid {Keyword: Dynamic Keyword Insertion} until you understand it well, at which point you probably won’t use it.
27. {keyword:keyword insertion} = keyword insertion
28. {Keyword:keyword insertion} = Keyword insertion
29. {KEYword:keyword insertion} = KEYWORD insertion
30. {KeyWord:keyword insertion} = Keyword Insertion
31. {KeyWORD:keyword insertion} = Keyword INSERTION
32. {KEYWORD:keyword insertion} = KEYWORD INSERTION
33. Experiment with active and passive states. Let the product empower the user in one case. Let the product actually do the work for the user in another.
34. Focus on ROI and not CTR
35. Landing page load times aren’t as important for Quality Score as they are for the usability that encourages the engagement required for conversions.
37. Try ending ads with “…”
38. Try “+” vs. “and”
39. Try “$0″ vs. “Free”
40. “Save $” vs. “Save Money”
41. Try “&” instead of “and”
42. Ask questions in your ad copy
43. If you can determine a target CPA or CPT (Cost Per Aquisition or Cost per Transaction) try conversion optimization over manual bidding
44. Use analytics to find negative keywords. Use keyword suggestion tools to find negative keywords.
45. Create adgroups containing typos and mispellings, which usually have reduced competition and CPC
46. The phrase “keyword typos” has 260 potential typos for the phrase, these don’t include permutations, such as “key word” or the reversal of the words, as in “typos keywod”
47. Create landing pages that lead with and highlight the keywords the user has search for
48. Inlcude the exact keywords you bid on in your add copy whenever possible
49. The user’s search keywords correspond to the keywords your bidding on which should then correspond the keywords in the ad copy and finally the keywords on the landing page
50. Segement poor performing keywords into their own ad groups and experiment before retiring them
51. Include the product price in the ad copy if the pricing is competitive
52. Use SEO to augment your keyword presence and brand visibility in tandem with paid search
53. Use data from SEO to understand your audience and keywords more comprehensively. Do the reverse, too.
54. Give away free stuff like compelling downloads. Don’t give away anything lame. Make it worth the time.
55. Use the Adwords Editor to save time by editing in mass
56. Pay close attention to the ads of competitors. Learn all you can from them.
57. Start strong. Overpay and overbid to quickly get a higher quality score which increases your CTR and lowers minimum bids.
58. Avoid migrating a campaign from a an established account (one with performance history) to a new account (one with no performance history). The loss will be substantial.
59. Track conversions. Track conversions. Track conversions.
60. Use Google’s Website Optimizer to improve your landing pages
61. Use this phrase in ad copy “Did You Know that [Keyword] Could [Insert Benefit]”
62. Be specific. Use exact numbers, like “15,786 reviews” instead of “15,000 reviews”
63. Utilize the Mcafee Site Secure icon with ad copy. The Mcafee icon appears provided the website has a Mcafee certificate and the end user has site advisor installed.
64. Offer Google Checkout – By offering Google Checkout payment gateway, the ad copy will display a colourful Google Checkout icon which stands out.
65. Include a phone number in your display URL, for example:

3-Day Red Shoe Sale
Red Shoes Up to 85% Off
Save $ on 26 Brands + All Styles
www.RedShoes.com/800.736.5403

66. Use free tools such as the following to improve efficiency:

http://www.mikes-marketing-tools.com/adwords-wrapper.html
http://tools.ppcblog.com/spelling/keywords-typos.cgi
http://tools.ppcblog.com/keyword-research-tool/
http://tools.ppcblog.com/ad-generator/
http://tools.ppcblog.com/keyword-list/generator.php

67. You have to be able to at least estimate the following before you can know the right price to bid.

* conversion rate data
* profit margins
* lifetime value per customer

68. Use tracking Google’s tracking URL capabilities to capture the keywords and network segment that generated each click:

http://www.sitename.com/buy-now.shtml?src=adw&sid={ifsearch:S_}{ifcontent:C_}{keyword}

* adw is used in the URL to denote google as the source. Just as easily you could enter G or Google or something similar.
* the {ifsearch:S_} and {ifcontent:C_} place an S or C before the keyword to indicate whether the source was search or a content site.
* {keyword} inserts whatever the keyword was.

69. Consider phone call tracking.
70. Track all important user actions – not just sales. Newsletter signups, review contributions, free downloads and form submissions all make good candidates.
71. Validate all destination URLs in your campaign on a regular basis. You pay for clicks even if your page is not accessible.
72. Work the recent events and seasonal angle, especially if you’re selling gift cards or flowers – even if you sell industrial supplies.
73. Gaurantee your product or service. Do so prominently.
74. Price match.
75. Offer coupons and discount codes.
76. Offer volume discounts.
77. Solve real problems.
78. If selecting your geography by state, make sure to select all of the cities and areas within the state, and not just the state. Your ads will contain the state of the user, but not if you use the global state selection.

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If you’re looking for development ideas for Wave, this may be a good place to start. Since the proliferation of AJAX and similar complementary facilities, much has come to enrich the online experience. See for yourself:

Project Management Tools

Basecamp
GroupMindExpress
5pm
ActiveCollab
Staction
Daptiv
Task2Gather
Planyp.us
CoMindWork
Colabolo
eLoops
ClockingIT
Klok
PieMatrix
Teambox
Smartsheet

Chat

Userplane
Tinychat
CampFire
Meebo
Zoho Chat
Chatterous

Industrial Strength Big Audience Webinars

Gatherplace
GoToWebinar
iVocalize.com
HotConference.com
Wiziq
Live Web Seminar.com

VoIP – Conferencing

Skype
ooVoo
Voxox
JahJah
REBTEL
GTalk
Vyke
Gizmo5
Voxli
Voxopop

Video Conferencing

Gchat
Skype
TokBox
Oovoo
Sightspeed
VSee
Mebeam
Flashmeeting
EyeJot
DoVisio
APideo
XyKast
Palbee
Scopia Desktop
Meeting24
Persony
InstantPresenter
Tinychat
HP SkyRoom
Wetoku
VisionKontakt

Instant Message

Skype
AOL IM
Meebo
eBuddy
Yahoo Messenger
Google chat and video
ICQ
Windows Live Messenger
Jabber

Screen Share

GoToMeeting
eBLVD
ConnectNow
Microsoft Shared View
Yuuguu
WebExNow
LiveLook
Vyew
Crossloop
Glance
Yugma
Teamviewer
BeamYourScreen
Acrobat.com
Netviewer
Mikogo
Gogrok
PocketMeeting
Oneeko (Skype plugin)
Present.io
ShowDocument
Dynno
GoGrok

Collaborative Review

Backboard
Creately
A.nnotate
Diigo
uptogo
ReviewBasics
ConceptShare
Octopz
Textflow
inMotionNow.com
Buzzword
Cozimo
Friendpaste
ProofHQ
Colaab
Revizr
FuzeMeeting
Huddle.net
WebEx

Web Conferencing

Elluminate
Wimba Classroom
DigitalSamba (free for 3)
Centra
Elluminate VRoom (free for 3)
Adobe Connect Now (free for 3)

WebTrain (free for 2)
iVocalize
DimDim
Spreed
WebHuddle
Convenos
Zoho Meeting
Acrobat.com
OpenHuddle
Microsoft Live Meeting
iLinc
Genesys
Omnovia
ReadyTalk
e-Lecta
Hypermeeting
Lotus LiveEngage
Live Conference PRO.com
Expressway Flexchat
WebConference.com
DoConference
Nefsis
OpenMeetings
vMukti MeetingPlace
OpenConference
Wiggio

Document Sharing | Wikis

Comindwork
pbwiki
WetPaint
wikidot
mediawiki
wikispaces.com
GoogleDocs
GoogleSites
Socialtext
Zoho
mindtouch Deki
etherpad
Couchit

KnowledgePlaza.be
Mixedink
Microsoft SharePoint
PBWiki

Co-Browsing

Clavardon
Holoday
PageShare
Showdocument
Flowgram
Twiddla

WebPresenting

Slideshare
SlideRocket
woices.com
PresenterNet.com
InstantPresenter
Vcasmo
280 Slides
Livemeetups
Freepath
Kineticast

Workgrouping

meetup
grouply
Broadchoice Workspace
WebOffice
BarCamps
Edmodo.com
Affinitiz.com
Colaab
Sosius
Deskaway
Collaber
Campfire
CentralDesktop
GroupmindExpress
MindQuarry
Ovosuite
Clearspace
SocialGo
Sosius
MyNetResearch
OneDrum
Onehub
Huddle.net
Ubidesk
HyperOffice
WizeHive
TeamApart
Ubidesk
Wiggio
FMYI
Collaboroo
HyperOffice

Event Scheduling

eventbrite
Schedgit
GCalendar
Timebridge
Chandler
Amiando
Doodle.com
Genbook
AgreeAdate
MeetWithApproval
Cvent
Tungle
Shiftboard

File Sharing

Microsoft Live Mesh
Filedropper.com
Filemail.com
youSendIt
drop.io
transferbigfiles.com
box.net
dropbox
senduit
4shared.com
Clip2Net
Spider Oak
Gigashift
Filephile
Esnips.com
Verzend
Zapr
Rapid Share
Wuala

Whiteboarding

Dabbleboard
Skrbl
Vyew
Ge Inspiration Cubed
Depicto
Twiddla
Scriblink
Groupboard
Scribblar
ShowDocument
Flowchart
Virtual whiteboard

Collaborative Writing

Creately
MindMeister
Bubbl.us
Mind42
Mywebspiration
Spinscape
Gliffy
LucidCharts
Xmind
SpicyNodes
Creately
MindJet Catalyst
Comapping

Mindmapping | Co-Diagramming

Buzzword
Zoho Writer
Writeboard
Google Docs
Quicktopic
SynchroEdit
Gobby
Etherpad
TextFlow
WriteWith
ThinkFold
Springloops

Emmersive 3D Collaboration | Web 3.0

Tixeo
I-maginer
Teleplace

Private Social Networks

Googlegroups
YahooGroups
Ning
Socialcast
Friendfeed
Cubetree
Yammer
Groupsite
BantamLive
Yammer
Campfire
WizeHive

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Local Search Engines

Local Yellow Pages & Directories

Local Meta Search Engines & Special Local Listings

Local Business Data Aggregators

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