SEO

100 Most Asked Questions on Google in 2024

Published

4 weeks ago

September 30, 2024

100 Most Asked Questions on Google in 2024

These are the 100 most asked questions on Google, along with their monthly search volumes.

#	Keyword	Search Volume
1	what to watch	876000
2	what	870000
3	what is my ip	746000
4	what dinosaur has 500 teeth	671000
5	when is mother’s day 2024	585000
6	how many weeks in a year	497000
7	when is father’s day 2024	438000
8	how many days until christmas	427000
9	how to screenshot on mac	389000
10	what time is it	370000
11	how many ounces in a gallon	368000
12	when is easter 2024	361000
13	how to screenshot on windows	349000
14	who won the super bowl 2024	349000
15	what time is the eclipse	347000
16	what time is the super bowl	326000
17	what space movie came out in 1992	325000
18	when is the super bowl	322000
19	when is easter	318000
20	how to tie a tie	312000
21	how many ounces in a cup	303000
22	what is project 2025	298000
23	when is the super bowl 2024	293000
24	when is thanksgiving	288000
25	when is the solar eclipse	287000
26	why women kill	258000
27	what is my ip address	247000
28	what we do in the shadows	244000
29	how many ounces in a pound	243000
30	how old is taylor swift	242000
31	what day is it	241000
32	when is father’s day	238000
33	when is super bowl 2024	232000
34	what is today	231000
35	when is thanksgiving 2023	225000
36	when is mothers day	224000
37	what is juneteenth	215000
38	how many cups in a quart	206000
39	when to work	199000
40	how many oz in a gallon	198000
41	when is memorial day 2024	192000
42	what time is the debate tonight	191000
43	how to write a check	188000
44	how many quarts in a gallon	188000
45	how many people are in the world	188000
46	who shot trump	188000
47	how many seconds in a day	185000
48	what does gyatt mean	182000
49	how many oz in a cup	178000
50	what time is the solar eclipse 2024	177000
51	who won the debate	176000
52	when is the next full moon	175000
53	what holiday is today	173000
54	who is running for president in 2024	173000
55	when is daylight savings	172000
56	how long to boil eggs	169000
57	who called me from this phone number	168000
58	where the crawdads sing	164000
59	what time does the super bowl start	162000
60	where am i	162000
61	how many days till christmas	161000
62	how much house can i afford	161000
63	how to draw	158000
64	how many grams in an ounce	155000
65	how to train your dragon	153000
66	how to lose a guy in 10 days	152000
67	what time is the presidential debate	148000
68	how to take a screenshot on windows	147000
69	how to pronounce	147000
70	when is fathers day	145000
71	what is hamas	145000
72	how many tablespoons in a cup	143000
73	when calls the heart	143000
74	how to delete facebook account	143000
75	cindy lou who	143000
76	how many steps in a mile	141000
77	how old is joe biden	141000
78	when are taxes due 2024	141000
79	how many liters in a gallon	139000
80	how i met your mother	139000
81	how to delete instagram account	138000
82	how many teaspoons in a tablespoon	137000
83	how to lower blood pressure	137000
84	what time does mcdonald’s stop serving breakfast	137000
85	how many cups in a gallon	137000
86	when is mardi gras 2024	136000
87	when evil lurks	135000
88	when is the presidential debate	132000
89	how many feet in a mile	128000
90	how old is travis kelce	127000
91	what is rsv	125000
92	when does the time change	123000
93	how to deactivate facebook	123000
94	when does fall start	123000
95	how did matthew perry die	123000
96	how it ends	122000
97	when is black friday	121000
98	how many countries are there	121000
99	how to boil eggs	118000
100	what is mewing	118000

#	Keyword	Search Volume
1	what is my ip	2,870,000
2	what to watch	1,760,000
3	what dinosaur has 500 teeth	1,450,000
4	where is my train	973,000
5	what the font	901,000
6	where to watch india national cricket team vs australian men’s cricket team	895,000
7	how many weeks in a year	875,000
8	when is mother’s day 2024	772,000
9	where to watch india national cricket team vs england cricket team	770,000
10	que significa	679,000
11	how many ounces in a cup	679,000
12	cuando cobro	660,000
13	how many days until christmas	642,000
14	quando eh o prox carnaval	638,000
15	who called me	617,000
16	how to screenshot on mac	598,000
17	what is my ip address	590,000
18	when is easter 2024	590,000
19	how i met your mother	532,000
20	when is easter	530,000
21	when is father’s day 2024	528,000
22	how to screenshot on windows	522,000
23	cuando juega boca	521,000
24	how to tie a tie	505,000
25	what time is it	503,000
26	what we do in the shadows	503,000
27	where to watch sri lanka national cricket team vs india national cricket team	503,000
28	why women kill	462,000
29	how many seconds in a day	446,000
30	how to delete instagram account	446,000
31	where to watch india national cricket team vs pakistan national cricket team	441,000
32	where to watch south africa national cricket team vs india national cricket team	419,000
33	who won the super bowl 2024	403,000
34	what is today	402,000
35	qué significa	397,000
36	how many ounces in a gallon	394,000
37	where the crawdads sing	394,000
38	when is mothers day	393,000
39	when is black friday	391,000
40	cuando juega river	384,000
41	what is love	381,000
42	what space movie came out in 1992	376,000
43	where am i	369,000
44	when is father’s day	366,000
45	какой сегодня праздник	362,000
46	how to make money online	361,000
47	when is the super bowl	352,000
48	what time is the eclipse	351,000
49	what is ai	346,000
50	how are you	346,000
51	what time is the super bowl	340,000
52	when is thanksgiving	333,000
53	what day is it	331,000
54	how to lose a guy in 10 days	323,000
55	how to draw	322,000
56	who won the election 2024	321,000
57	what is project 2025	320,000
58	where to watch zimbabwe national cricket team vs india national cricket team	320,000
59	when is the solar eclipse	317,000
60	how to delete facebook account	317,000
61	how to train your dragon	316,000
62	when is the super bowl 2024	310,000
63	cuando juega argentina	303,000
64	how to deactivate facebook	301,000
65	when evil lurks	300,000
66	how to pronounce	299,000
67	how old is taylor swift	296,000
68	who is erin carter	294,000
69	where to watch olympics 2024	293,000
70	how many ounces in a pound	291,000
71	cual es mi ip	291,000
72	how many days till christmas	287,000
73	how to lose weight fast	282,000
74	how to calculate percentage	281,000
75	where to watch india national cricket team vs bangladesh national cricket team	281,000
76	where to watch new zealand national cricket team vs pakistan national cricket team	279,000
77	when is fathers day	275,000
78	when is thanksgiving 2023	267,000
79	how many days in a year	265,000
80	when is the next full moon	265,000
81	where to watch india national cricket team vs south africa national cricket team	264,000
82	how many countries in the world	264,000
83	why is my husband yelling at me	262,000
84	how it ends	260,000
85	when is super bowl 2024	256,000
86	how many people are in the world	254,000
87	где посылка	252,000
88	que pasa salta	249,000
89	que hora es	247,000
90	where to watch pakistan national cricket team vs india national cricket team	247,000
91	where to watch india national cricket team vs new zealand national cricket team	246,000
92	cuando es el dia del padre	245,000
93	where to watch australian men’s cricket team vs india national cricket team	243,000
94	how to make money	242,000
95	who is the richest person in the world	240,000
96	what is hamas	237,000
97	que significa traka	235,000
98	what holiday is today	235,000
99	who called me from this phone number	233,000
100	how long to boil eggs	232,000

How Compression Can Be Used To Detect Low Quality Pages

Published

3 days ago

October 27, 2024

Max

Compression can be used by search engines to detect low-quality pages. Although not widely known, it's useful foundational knowledge for SEO.

The concept of Compressibility as a quality signal is not widely known, but SEOs should be aware of it. Search engines can use web page compressibility to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords, making it useful knowledge for SEO.

Although the following research paper demonstrates a successful use of on-page features for detecting spam, the deliberate lack of transparency by search engines makes it difficult to say with certainty if search engines are applying this or similar techniques.

What Is Compressibility?

In computing, compressibility refers to how much a file (data) can be reduced in size while retaining essential information, typically to maximize storage space or to allow more data to be transmitted over the Internet.

TL/DR Of Compression

Compression replaces repeated words and phrases with shorter references, reducing the file size by significant margins. Search engines typically compress indexed web pages to maximize storage space, reduce bandwidth, and improve retrieval speed, among other reasons.

This is a simplified explanation of how compression works:

Identify Patterns:
A compression algorithm scans the text to find repeated words, patterns and phrases
Shorter Codes Take Up Less Space:
The codes and symbols use less storage space then the original words and phrases, which results in a smaller file size.
Shorter References Use Less Bits:
The “code” that essentially symbolizes the replaced words and phrases uses less data than the originals.

A bonus effect of using compression is that it can also be used to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords.

Research Paper About Detecting Spam

This research paper is significant because it was authored by distinguished computer scientists known for breakthroughs in AI, distributed computing, information retrieval, and other fields.

Marc Najork

One of the co-authors of the research paper is Marc Najork, a prominent research scientist who currently holds the title of Distinguished Research Scientist at Google DeepMind. He’s a co-author of the papers for TW-BERT, has contributed research for increasing the accuracy of using implicit user feedback like clicks, and worked on creating improved AI-based information retrieval (DSI++: Updating Transformer Memory with New Documents), among many other major breakthroughs in information retrieval.

Dennis Fetterly

Another of the co-authors is Dennis Fetterly, currently a software engineer at Google. He is listed as a co-inventor in a patent for a ranking algorithm that uses links, and is known for his research in distributed computing and information retrieval.

Those are just two of the distinguished researchers listed as co-authors of the 2006 Microsoft research paper about identifying spam through on-page content features. Among the several on-page content features the research paper analyzes is compressibility, which they discovered can be used as a classifier for indicating that a web page is spammy.

Detecting Spam Web Pages Through Content Analysis

Although the research paper was authored in 2006, its findings remain relevant to today.

Then, as now, people attempted to rank hundreds or thousands of location-based web pages that were essentially duplicate content aside from city, region, or state names. Then, as now, SEOs often created web pages for search engines by excessively repeating keywords within titles, meta descriptions, headings, internal anchor text, and within the content to improve rankings.

Section 4.6 of the research paper explains:

“Some search engines give higher weight to pages containing the query keywords several times. For example, for a given query term, a page that contains it ten times may be higher ranked than a page that contains it only once. To take advantage of such engines, some spam pages replicate their content several times in an attempt to rank higher.”

The research paper explains that search engines compress web pages and use the compressed version to reference the original web page. They note that excessive amounts of redundant words results in a higher level of compressibility. So they set about testing if there’s a correlation between a high level of compressibility and spam.

They write:

“Our approach in this section to locating redundant content within a page is to compress the page; to save space and disk time, search engines often compress web pages after indexing them, but before adding them to a page cache.
…We measure the redundancy of web pages by the compression ratio, the size of the uncompressed page divided by the size of the compressed page. We used GZIP …to compress pages, a fast and effective compression algorithm.”

High Compressibility Correlates To Spam

The results of the research showed that web pages with at least a compression ratio of 4.0 tended to be low quality web pages, spam. However, the highest rates of compressibility became less consistent because there were fewer data points, making it harder to interpret.

Figure 9: Prevalence of spam relative to compressibility of page.

The researchers concluded:

“70% of all sampled pages with a compression ratio of at least 4.0 were judged to be spam.”

But they also discovered that using the compression ratio by itself still resulted in false positives, where non-spam pages were incorrectly identified as spam:

“The compression ratio heuristic described in Section 4.6 fared best, correctly identifying 660 (27.9%) of the spam pages in our collection, while misidentifying 2, 068 (12.0%) of all judged pages.
Using all of the aforementioned features, the classification accuracy after the ten-fold cross validation process is encouraging:
95.4% of our judged pages were classified correctly, while 4.6% were classified incorrectly.
More specifically, for the spam class 1, 940 out of the 2, 364 pages, were classified correctly. For the non-spam class, 14, 440 out of the 14,804 pages were classified correctly. Consequently, 788 pages were classified incorrectly.”

The next section describes an interesting discovery about how to increase the accuracy of using on-page signals for identifying spam.

Insight Into Quality Rankings

The research paper examined multiple on-page signals, including compressibility. They discovered that each individual signal (classifier) was able to find some spam but that relying on any one signal on its own resulted in flagging non-spam pages for spam, which are commonly referred to as false positive.

The researchers made an important discovery that everyone interested in SEO should know, which is that using multiple classifiers increased the accuracy of detecting spam and decreased the likelihood of false positives. Just as important, the compressibility signal only identifies one kind of spam but not the full range of spam.

The takeaway is that compressibility is a good way to identify one kind of spam but there are other kinds of spam that aren’t caught with this one signal. Other kinds of spam were not caught with the compressibility signal.

This is the part that every SEO and publisher should be aware of:

“In the previous section, we presented a number of heuristics for assaying spam web pages. That is, we measured several characteristics of web pages, and found ranges of those characteristics which correlated with a page being spam. Nevertheless, when used individually, no technique uncovers most of the spam in our data set without flagging many non-spam pages as spam.
For example, considering the compression ratio heuristic described in Section 4.6, one of our most promising methods, the average probability of spam for ratios of 4.2 and higher is 72%. But only about 1.5% of all pages fall in this range. This number is far below the 13.8% of spam pages that we identified in our data set.”

So, even though compressibility was one of the better signals for identifying spam, it still was unable to uncover the full range of spam within the dataset the researchers used to test the signals.

Combining Multiple Signals

The above results indicated that individual signals of low quality are less accurate. So they tested using multiple signals. What they discovered was that combining multiple on-page signals for detecting spam resulted in a better accuracy rate with less pages misclassified as spam.

The researchers explained that they tested the use of multiple signals:

“One way of combining our heuristic methods is to view the spam detection problem as a classification problem. In this case, we want to create a classification model (or classifier) which, given a web page, will use the page’s features jointly in order to (correctly, we hope) classify it in one of two classes: spam and non-spam.”

These are their conclusions about using multiple signals:

“We have studied various aspects of content-based spam on the web using a real-world data set from the MSNSearch crawler. We have presented a number of heuristic methods for detecting content based spam. Some of our spam detection methods are more effective than others, however when used in isolation our methods may not identify all of the spam pages. For this reason, we combined our spam-detection methods to create a highly accurate C4.5 classifier. Our classifier can correctly identify 86.2% of all spam pages, while flagging very few legitimate pages as spam.”

Key Insight:

Misidentifying “very few legitimate pages as spam” was a significant breakthrough. The important insight that everyone involved with SEO should take away from this is that one signal by itself can result in false positives. Using multiple signals increases the accuracy.

What this means is that SEO tests of isolated ranking or quality signals will not yield reliable results that can be trusted for making strategy or business decisions.

Takeaways

We don’t know for certain if compressibility is used at the search engines but it’s an easy to use signal that combined with others could be used to catch simple kinds of spam like thousands of city name doorway pages with similar content. Yet even if the search engines don’t use this signal, it does show how easy it is to catch that kind of search engine manipulation and that it’s something search engines are well able to handle today.

Here are the key points of this article to keep in mind:

Doorway pages with duplicate content is easy to catch because they compress at a higher ratio than normal web pages.
Groups of web pages with a compression ratio above 4.0 were predominantly spam.
Negative quality signals used by themselves to catch spam can lead to false positives.
In this particular test, they discovered that on-page negative quality signals only catch specific types of spam.
When used alone, the compressibility signal only catches redundancy-type spam, fails to detect other forms of spam, and leads to false positives.
Combing quality signals improves spam detection accuracy and reduces false positives.
Search engines today have a higher accuracy of spam detection with the use of AI like Spam Brain.

Read the research paper, which is linked from the Google Scholar page of Marc Najork:

Detecting spam web pages through content analysis

Featured Image by Shutterstock/pathdoc

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SEO

New Google Trends SEO Documentation

Published

4 days ago

October 27, 2024

Max

Google publishes new documentation for how to use Google Trends for search marketing

Google Search Central published new documentation on Google Trends, explaining how to use it for search marketing. This guide serves as an easy to understand introduction for newcomers and a helpful refresher for experienced search marketers and publishers.

The new guide has six sections:

About Google Trends
Tutorial on monitoring trends
How to do keyword research with the tool
How to prioritize content with Trends data
How to use Google Trends for competitor research
How to use Google Trends for analyzing brand awareness and sentiment

The section about monitoring trends advises there are two kinds of rising trends, general and specific trends, which can be useful for developing content to publish on a site.

Using the Explore tool, you can leave the search box empty and view the current rising trends worldwide or use a drop down menu to focus on trends in a specific country. Users can further filter rising trends by time periods, categories and the type of search. The results show rising trends by topic and by keywords.

To search for specific trends users just need to enter the specific queries and then filter them by country, time, categories and type of search.

The section called Content Calendar describes how to use Google Trends to understand which content topics to prioritize.

Google explains:

“Google Trends can be helpful not only to get ideas on what to write, but also to prioritize when to publish it. To help you better prioritize which topics to focus on, try to find seasonal trends in the data. With that information, you can plan ahead to have high quality content available on your site a little before people are searching for it, so that when they do, your content is ready for them.”

Read the new Google Trends documentation:

Get started with Google Trends

Featured Image by Shutterstock/Luis Molinero

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SEO

All the best things about Ahrefs Evolve 2024

Published

5 days ago

October 25, 2024

Entireweb News Bot

All the best things about Ahrefs Evolve 2024

Hey all, I’m Rebekah and I am your Chosen One to “do a blog post for Ahrefs Evolve 2024”.

What does that entail exactly? I don’t know. In fact, Sam Oh asked me yesterday what the title of this post would be. “Is it like…Ahrefs Evolve 2024: Recap of day 1 and day 2…?”

Even as I nodded, I couldn’t get over how absolutely boring that sounded. So I’m going to do THIS instead: a curation of all the best things YOU loved about Ahrefs’ first conference, lifted directly from X.

Let’s go!

OUR HUGE SCREEN

The largest presentation screen I’ve ever seen! #ahrefsevolve pic.twitter.com/oboiMFW1TN
— Patrick Stox (@patrickstox) October 24, 2024
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This is the biggest presentation screen I ever seen in my life. It’s like iMax for SEO presentations. #ahrefsevolve pic.twitter.com/sAfZ1rtePx
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024

CONFERENCE VENUE ITSELF

It was recently named the best new skyscraper in the world, by the way.

The Ahrefs conference venue feels like being in inception. #AhrefsEvolve pic.twitter.com/18Yjai1Cej
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024

I’m in Singapore for @ahrefs Evolve this week. Keen to connect with people doing interesting work on the future of search / AI #ahrefsevolve pic.twitter.com/s00UkIbxpf
— Alex Denning (@AlexDenning) October 23, 2024

OUR AMAZING SPEAKER LINEUP – SUPER INFORMATIVE, USEFUL TALKS!

A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024

“would I even do this if Google didn’t exist?” – what a great question to assess if you actually have the right focus when creating content amazing presentation from @amandaecking at #AhrefsEvolve pic.twitter.com/a6OKbKxwiS
— Aleyda Solis ️ (@aleyda) October 24, 2024

Attending @CyrusShepard ‘s talk on WTF is Helpful Content in Google’s algorithm at #AhrefsEvolve
“Focus on people first content”
Super relevant for content creators who want to stay ahead of the ever evolving Google search curve! #SEOTalk #SEO pic.twitter.com/KRTL13SB0g

This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
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— Parth Suba (@parthsuba77) October 24, 2024

@thinking_slows thoughts on AI content – “it’s very good if you want to be average”.
We can do a lot better and Ryan explains how. Love it @ahrefs #AhrefsEvolve pic.twitter.com/qFqWs6QBH5
— Andy Chadwick (@digitalquokka) October 24, 2024

A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024

This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
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GREAT MUSIC

First time I’ve ever Shazam’d a track during SEO conference ambience…. and the track wasn’t even Shazamable! #AhrefsEvolve @ahrefs pic.twitter.com/ZDzJOZMILt
— Lily Ray (@lilyraynyc) October 24, 2024

AMAZING GOODIES

Ahrefs Evolveきました！@ahrefs @AhrefsJP #AhrefsEvolve pic.twitter.com/33EiejQPdX
— さくらぎ (@sakuragi_ksy) October 24, 2024

Aside from the very interesting topics, what makes this conference even cooler are the ton of awesome freebies
Kudos for making all of these happen for #AhrefsEvolve @ahrefs team pic.twitter.com/DGzk5FSTN8
— Krista Melgarejo (@kimelgarejo) October 24, 2024
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Content Goblin and SEO alligator party stickers are definitely going on my laptop. @ahrefs #ahrefsevolve pic.twitter.com/QBsBuY5Yix
— Patrick Stox (@patrickstox) October 24, 2024

This is one of the best swag bags I’ve received at any conference!
Either @ahrefs actually cares or the other conference swag bags aren’t up to par w Ahrefs!#AhrefsEvolve pic.twitter.com/Yc9e6wZPHn
— Moses Sanchez (@SanchezMoses) October 25, 2024

SELFIE BATTLE

Some background: Tim and Sam have a challenge going on to see who can take the most number of selfies with all of you. Last I heard, Sam was winning – but there is room for a comeback yet!

Got the rare selfie with both @timsoulo and @samsgoh #AhrefsEvolve
pic.twitter.com/057sBpYPwh
— Bernard Huang (@bernardjhuang) October 24, 2024
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THAT BELL

Everybody’s just waiting for this one.

@timsoulo @ahrefs #AhrefsEvolve pic.twitter.com/6ypWaTGDDP
— Jinbo Liang (@JinboLiang) October 24, 2024

STICKER WALL

Viva la vida, viva Seo!
Awante Argentina loco!#AhrefsEvolve pic.twitter.com/sfhbI2kWSH
— Gaston Riera. (@GastonRiera) October 24, 2024

AND, OF COURSE…ALL OF YOU!

#AhrefsEvolve let’s goooooooooooo!!! pic.twitter.com/THtdvdtUyB
— Tim Soulo (@timsoulo) October 24, 2024

–

There’s a TON more content on LinkedIn – click here – but I have limited time to get this post up and can’t quite figure out how to embed LinkedIn posts so…let’s stop here for now. I’ll keep updating as we go along!

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