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2023 has been a whirlwind of a year for the SEO industry, and there’s no sign of slowing down.

This year alone, Google dropped eight confirmed and unconfirmed updates – leaving many businesses scrambling to keep up.

With so much volatility, how can you adapt your SEO strategy to keep it fresh and relevant?

How will this year’s algorithm changes affect your 2023 SEO strategy?

How can you prepare for Google’s next move and get ahead of the curve?

On December 14, I moderated a webinar with Pat Reinhart, VP of Customer Success at Conductor.

Reinhart recapped the biggest SEO insights of this year and shared some expert predictions based on 2023’s algorithm updates to uncover what next year may hold.

Here is a summary of the webinar. To access the entire presentation, complete the form.

Prediction #1: Google’s Volatility Will Continue To Intensify

There’s a lot of volatility rolling out, and this could be the new normal.

[Discover tips on how to navigate the new normal] Instantly access the webinar →

What makes this year, and possibly next year, so intense is that the time between algorithm updates is getting shorter and they’re starting to roll out on top of one another.

Google is going to continue to test new features and result types.

What does that mean? More algorithm changes will be happening in less time, which equates to more volatility.

3 Things To Pay Attention To:

Updates are rolling out on top of one another & in tighter succession.

Updates are starting to roll out faster.

Google doesn’t care about your feelings anymore.

[Learn how to make these updates easier to handle] Instantly access the webinar →

In the upcoming year, there will be more testing and data requests from Google because of what’s happening in the younger generations, leading us to the next prediction.

Prediction #2: Visual Search Will Become More Prominent

Gen-Z is going to TikTok and Instagram for their search needs, effectively bypassing Google.

Google is changing to keep up.

Younger generations connect with visuals better because it gives them a better experience.

Thus, Google is now using more visuals in search.

3 Things To Pay Attention To:

Take care of your images.

Make video content.

Know that Google isn’t the only search engine.

[How you should approach each “search engine”] Instantly access the webinar →

Prediction #3: More Companies Will Take Technical SEO Seriously

Google wants to give users a good experience, so it’s becoming more important to ensure your site works on a technical level.

Many companies now know that the solution is to set up a system where your site is constantly monitored, moving towards an “always-on” mentality.

[See what “always-on” looks like] Instantly access the webinar →

3 Things To Pay Attention To:

Your site health.

Your approach.

The algorithms you are specifically targeting.

Prediction #4: Companies Will Waste Money On The Metaverse

It’s wise not to invest in the Metaverse yet since it’s unproven.

3 Things To Pay Attention To:

It’s not ready.

There’s no one using it.

It’s probably going to get super weird, super fast.

[Find out why] Instantly access the webinar →

Prediction #5: Everyone Is Going To Forget About Universal Analytics Going Away

Everyone will forget about Universal Analytics going away on July 1, 2023. And it’s going to get crazy for those who never set up GA4.

While most predictions have a lot to do with algorithms, at the end of the day, it’s about the content you create and the experience you provide to your customers, so make sure you’re able to effectively track it in 2023.

[Slides] Expert SEO & Google Algorithm Predictions For 2023

Here’s the presentation:

Join Us For Our Next Webinar! KPIs, Metrics & Benchmarks That Matter For SEO Success In 2023

Reserve my Seat

Image Credits

Featured Image: Paulo Bobita/Search Engine Journal

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How To Use Samsung Expert Raw To Up Your Photography Game

More apps: The best camera apps for Android

See also: What is RAW, and should you shoot in it?

The app also introduces manual camera controls to put a personal stamp on images compared to Samsung’s pre-installed smartphone camera app. Samsung Expert RAW offers manual controls for ISO, shutter speed, EV, metering, and white balance to help you dial in the perfect exposure, whether you’re shooting static or action scenes. That’s in addition to RAW support, of course. In other words, Expert RAW is a gateway into the wider world of more powerful photography tools and edits.

How to get Samsung Expert RAW on your phone

Robert Triggs / Android Authority

You’ll have to meet a few conditions before downloading Samsung’s Expert RAW app. You’ll need one of the supported Samsung Galaxy handsets for starters. Next, a Samsung account set up on your handset. With those two conditions met, you can download Expert RAW from Samsung’s Galaxy Store, free of charge. You won’t find Expert RAW available on Google Play or similar third-party stores.

All 2023 Samsung flagships, including Samsung Galaxy S22, S22 Plus, S22 Ultra, and Galaxy Z Fold 4, support Expert RAW. The app is also available on the Samsung Galaxy S21 Ultra, Z Fold 3, Galaxy S20 Ultra, Note 20 Ultra, and Z Fold 2. However, you may notice slower processing times on the latter three models due to their age.

Samsung says that the Galaxy S21, S21 Plus, S20, S20 Plus, and Note 20 aren’t supported as their telephoto lenses don’t offer the required 2x optical zoom.

Expert RAW vs a standard camera app

Robert Triggs / Android Authority

There are a surprising number of feature similarities between Expert RAW and Samsung’s standard camera app. Both are flush with the aforementioned manual camera controls, such as ISO, EV, and shutter speed options. These options can be found under the standard app’s “Pro” mode, along with manual focus peaking.

You’ll also note that the zoom numbers at the bottom of the screen have been replaced with letter icons, indicating each of the four camera lenses. Unlike the standard app’s default mode, Pro and Expert RAW lock you to the lens you pick rather than attempting to choose the best option depending on the lighting conditions. This extra control has pros and cons for image clarity and exposure.

Also read: Photography terms explained — ISO, aperture, and more

Samsung’s default camera app also has a toggle for RAW format output. Equally important to note is that Expert RAW doesn’t include many staples of the modern mobile camera experience, such as a dedicated portrait, night shooting, or even a video mode. You can’t shoot selfies or videos with the app, either. So what’s the point of using the additional app?

Expert RAW includes a histogram tool you won’t find in Samsung’s standard camera app, even in the Pro mode. Samsung claims that Expert RAW also offers a boost to dynamic range compared to the standard app through the use of multi-frame RAW files. These take a fraction longer to capture and result in different RAW snaps from Expert RAW and Pro mode, with varying noise levels and exposure despite similar settings. The expert-tier app applies a little less processing, but it’s not always clear which is strictly better than the other.

The main reason to use Expert RAW is its slimmed-down interface for quick access to manual controls when you want/need them. It’s a minimalist app that focuses exclusively on pro-level photography features.

How to use Samsung Expert RAW

Robert Triggs / Android Authority

Before starting with Expert RAW, you’ll need to get to grips with all the toggles. Broadly speaking, the benefit of moving to manual control is to tailor the camera’s setup to your scene, balancing the ideal exposure against your subject. Your phone camera rarely gets this absolutely spot on, after all. For example, a fast shutter speed should be a priority when capturing action shots, while a low ISO will reduce noise for more detail. Here’s a quick rundown of the individual options.

ISO — Increases light capture at the expense of additional grain/noise. Increase this to allow you to set the desired shutter speed or lower it to reduce an overly bright exposure.

Shutter speed — Closes the shutter faster for a sharper image at the expense of light capture. Longer shutter speeds capture more light in dim conditions but are more susceptible to blur. However, long exposure blur can create impressive light streaks and water effects.

EV — A general exposure compensation toggle that will adjust other auto settings. Positive values increase exposure while lower values leans towards underexposure.

Focus — Manually adjust the camera’s focus from foreground to background. The focus peaking feature applies a green halo around in-focus objects.

White Balance — Measured in Kelvin (K), adjust the white point of your image between blue/cool (2,300K) and red/warm (10,000K). This should end up somewhere around the 5,000K mark most of the time.

Metering — Determines which part of the image to use when auto-balancing exposure. Center-weighted will attempt to expose based on what is in the center of the image. Spot exposes are based on a specific selectable point, while matrix considers highlights and shadows in the entire frame.

Advanced tips and tricks

Robert Triggs / Android Authority

There’s an art to dialing in the perfect exposure that comes down to practice. So our best tip for getting the most out of Samsung Expert RAW is to go out and take as many pictures as possible. Still, for a more in-depth explanation of how these important manual features work and how to make the most of them, here are some great resources to read:

How to use your phone camera’s manual mode

Photography ISO explained

Camera white balance explained

What is shutter speed and how to use it

Up next: These photography tips will help you take your photos to the next level

Can Seo Be Made Predictable?

3. Unintentional Collateral Damage During Optimization Efforts

A page has the potential to rank for multiple keywords.

Finding the balance between the right content, the right target keywords, and the right optimization efforts is a challenge.

As an SEO practitioner, the following scenarios may seem familiar to you:

A website will contain multiple pages covering the same topical theme, with external backlinks and target keywords distributed across these pages and the best-quality links not optimized for the right target keywords.

A site undergoes a rebuild or redesign that negatively impacts SEO.

Conflicts of interest arise between various business units when it comes to optimization priorities. Without a mechanism to identify which optimization efforts will have the greatest impact on search rankings and business outcomes, it is hard to make a business case for one optimization strategy over another.

4. The Unreliability of Standard CTR Benchmarks

The relative position of the URL on the SERP for a specific keyword.

The packs that are displayed (answer box, local pack, brand pack, etc.).

Display of thumbnails (images, videos, reviews, rating scores, etc.).

Brand association of the user to the brand.

Calculating CTR by rank position is just one measurement challenge.

The true business impact of SEO is also hard to capture, due to the difficulty identifying the conversion rate that a page will generate and the imputed value of each conversion.

Search professionals must have strong analytical skills to compute these metrics.

5. Inability to Build a Business Case for Further Investments into Data Science

When making investment decisions, business stakeholders want to understand the impact of individual initiatives on business outcomes.

If an initiative can be quantified, it is easier to get the necessary level of investment and prioritize the work.

The ROI of SEO can seem minimal to leadership when compared to the more predictable, measurable and immediate results produced by other channels.

A further complication is the investment and resources required to set up data science processes in-house to start solving for SEO predictability.

The skills, the people, the scoring models, the culture: the challenges are daunting.

Making SEO Predictable: The Need for Scoring Models

Now that we’ve established the path to predictability is one fraught with challenges, let us go back to my initial question.

Can SEO be made predictable?

Is there value in investing to make SEO predictability a reality?

The short answer: yes!

At iQuanti, our dedicated data science team has approached solving for SEO predictability in three steps:

Step 1: Define metrics that are indicative of SEO success and integrate comprehensive data from the best sources into a single warehouse.

Step 2: Reverse engineer Google’s search results by developing scoring models and machine learning algorithms for relevancy, authority, and accessibility signals.

Step 3: Use outputs from the algorithm to enable specific and actionable insights into page/site performance and develop simulative capabilities to enable testing a strategy (like adding a backlink or making a content change) before pushing to production – thus making SEO predictable.

Step 1: Identification of Critical Variables & Data Integration

As mentioned before, one of the major roadblocks to SEO success is the inability to integrate all necessary metrics in one place.

SEO teams use a myriad of tools and browser extensions to gather performance data – both their own, and comparative/competitive data as well.

What most enterprise SEO platforms fail at, however, is making all the SEO variables and metrics for any particular keyword or page accessible in one view.

This is the first and most critical step. And while it requires access to the various SEO tools and basic data warehousing capabilities, this essential first step is comparatively easier to bring to life in practice.

We haven’t yet entered the skill- and resource-heavy data modeling phase, but with the right data analytics team in place, the integration of data itself could prove to be a valuable first step toward SEO predictability.

How?

Let me explain with an example.

If you are able to bring together all SEO metrics for your URL chúng tôi with an understanding of the value of each metric, it becomes easy to build a simple comparative scoring model allowing you to benchmark your URL against the top-performing URLs in search. See below.

PRO TIPS: For text data (or content), consider a mix of the following variables:

Frequency of word usage.

Exact and partial matches of keywords.

Relevance metrics using TF-IDF, Word2Vec or GLoVe.

For link data, consider the:

Relevancy of the links to the target page.

Authority distribution of linking pages/domains.

Percentage of do-follow/no-follow links.

Automate this, and you have at your disposal, a reliable and continuous benchmarking process. Every time you implement changes toward optimization, you can actually see (and measure) the needle moving on SERPs.

Tracking your score and its components over a period of time can provide insights into the tactics deployed by competitors (e.g., whether they are improving page relevancy or aggressively building authority) and the corresponding counter-movements to ensure that your site is consistently competing at a high level.

Step 2: Building Algorithmic Scoring Models

Search rankings reflect the collective effect of multiple variables all at once.

To understand the impact of any single variable on rankings, we should ensure that all other parameters are kept constant as this isolated variable changes.

Then, to arrive at a “score,” there are two ways to develop a modeling problem:

As a classification problem [good vs. not good]

In this approach, you need to label all top-10-ranked URLs (i.e., those on the first SERP) as 1 and the rest as 0 and try to understand/reverse engineer how different variables contribute to the URL being in the top page.

As a ranking problem

In this approach, the rank is considered as the continuous metric and the models understand the importance of variables to rank higher or lower.

Creating such an environment where we can identify the individual and collective effects of multiple variables requires a massive corpus of data.

While there are hundreds of variables that search engines take into consideration for ranking pages, they can broadly be classified into content (on-page), authority (off-page) and technical parameters.

I propose focusing on developing a scoring model that helps you assign and measure scores across these four elements:

1. Relevance Score

This score should review on-page content elements, including:

The relevance of the page’s main content when compared to the targeted search keyword.

How well the page’s content signals are communicated by marked-up elements of the page (e.g., title, H1, H2, image-alt-txt, meta description etc.).

2. Authority Score

This should capture the signals of authority, including:

The number of inbound links to the page.

The level of quality of sites that are providing these links.

The context in which these links are given.

If the context is relevant to the target page and the query.

3. Accessibility Score

This should capture all the technical parameters of the site that are required for a good experience – crawlability of the page, page load times, canonical tags, geo settings of the page, etc.

4. CTR Algorithm/Curve

The CTR depends on various factors like keyword demand, industry, whether the keyword is a brand name and the layout of the SERP (i.e., whether the SERP includes an answer box, videos, images, or news content.)

This makes it easier for the SEO program to monitor the most important keywords.

If you can compare these three sub-scores and underlying attributes, you would be able to clearly identify the reasons for the lack of performance – whether the target page is not relevant enough or whether the site does not have enough authority in the topic or if there is anything in the technical experience that is stopping the page from ranking.

It will also pinpoint the exact attributes that are causing this gap to provide specific actionable insights for content teams to address.

Step 3: Strategy & Simulation

An ideal system would go one step further to enable the development of an environment where SEO pros can not only uncover actionable insights, but also simulate proposed changes by assessing impact before actually implementing the changes in the live environment.

The ability to simulate changes and assess impact builds predictability into the results. The potential applications of such simulative capabilities are huge in an SEO program.

1. Predictability in Planning and Prioritization

Resources and budgets are always limited. Defining where to apply optimization efforts to get the best bang for your buck is a challenge.

A predictive model can calculate the gap between your pages and the top-ranking pages for all the keywords in your brand vertical.

The extent of this gap, the resources required to close it and the potential traffic that can be earned at various ranks can help prioritize your short-, medium- and long-term optimization efforts.

2. Predictability in Ranking and Traffic Through Content, Authority, and Accessibility Simulation

A content simulation module will allow for content changes to be simulated and the resulting improvement in relevance scores – as well as any potential gains in ranking – to be estimated.

With this kind of simulation tool, users can focus on improving poorly performing attributes and protect the page elements that are driving ranks and traffic.

A simulation environment could grant users the ability to test hypothetical optimization tactics (e.g., updated backlinks and technical parameters) and predict the impact of these changes.

SEO professionals could then make informed choices about which changes to implement to drive improvements in performance while protecting any existing high-performing page elements.

3. Predictability in the Business Impact of SEO Efforts

SEO professionals would be able to use the model to figure out whether their change is having any bottom-line impact.

Integrating this with website analytics and conversion rate data allows conversions to be tied to search ranking – thus forecasting the business impact of your SEO efforts in terms of conversions or revenue.

The Final Word

There is no one-size-fits-all when it comes to developing SEO scoring models. My attempt has been to give a high-level view of what is possible.

If you are able to capture data at its most granular level, you can aggregate it the way you want.

This is our experience at iQuanti: once you set out on this journey, you’ll have more questions, figure out new solutions, and develop new ways to use this data for your own use cases.

You may start with simple linear models but soon elevate their accuracy. You may consider non-linear models, ensembles of different models, models for different categories of keywords – high volume, long tail, by industry category, and so on.

Even if you are not able to build these algorithms, I still see value in this exercise.

If only a few SEO professionals get excited by the power of data to help build predictability, it can change the way we approach search optimization altogether.

You’ll start to bring in more data to your day-to-day SEO activities and begin thinking about SEO as a quantitative exercise — measurable, reportable, and predictable.

Seo Title Preview:midjourney Styles Prompts

Midjourney is an amazing AI tool that lets artists and enthusiasts unleash their creativity by creating art inspired by text prompts. With its cutting-edge algorithms and wide range of artistic styles, Midjourney provides a one-of-a-kind platform for making breathtaking and diverse artworks. In this article, we’ll dive into the realm of Midjourney style prompts, exploring different artistic genres and prompts that can unlock endless creative potential.

See More: 50 midjourney Prompts List: Crafting Winning Prompts

Midjourney styles prompts offer an extensive range of artistic styles, each with its own unique characteristics and visual aesthetics. By utilizing these prompts, users can guide Midjourney to generate AI art in their preferred style. Let’s explore some of the most captivating Midjourney styles prompts:

A photo-realistic portrait of an astronaut floating in space with the Earth in the background.

Create a realistic landscape of a cherry blossom tree near a tranquil pond in springtime.

A cute cartoon fox wearing a detective hat and coat, holding a magnifying glass.

An animated scene of a cat warrior fighting with swords on a battlefield.

A beautiful anime princess with long pink hair, blue eyes, in a flowing gown, delicate features.

An intense scene of two anime samurai about to battle with katanas drawn.

An 8-bit pixel art landscape of a castle surrounded by pixel trees and mountains.

A retro pixel art astronaut exploring pixel planets and stars in space.

An Andy Warhol inspired pop art portrait of Marilyn Monroe in vivid neon colors.

A Roy Lichtenstein inspired pop art scene of a plane shooting missiles.

A Jackson Pollock inspired abstract expressionist splatter paint artwork.

An abstract geometric sculpture in the style of Pablo Picasso.

A surreal landscape with floating islands in the sky painted by Salvador Dali.

Melting clocks hanging from a tree in an eerie surrealist dreamscape.

A cubist portrait of a woman’s face fragmented into geometric shapes.

A Pablo Picasso inspired cubist painting of a guitar player.

An ornate baroque frame surrounding a portrait of Queen Elizabeth.

Angels and clouds in a baroque ceiling mural painted by Giovanni Battista Tiepolo.

An impressionist landscape of water lilies in a pond painted by Claude Monet.

A scene of people drinking coffee in a cafe painted in impressionist style.

By leveraging these diverse styles, artists and enthusiasts can harness the power of Midjourney to create art that truly reflects their imagination and artistic vision.

Yes, you can combine different styles in a single prompt to create unique and hybrid artworks. Experimentation with styles allows for the exploration of new artistic territories.

Absolutely! Midjourney caters to artists and enthusiasts of all skill levels. Its user-friendly interface and diverse prompt options make it accessible and engaging for both professionals and beginners.

While Midjourney offers a wide range of predefined prompts, it also allows users to create their own custom prompts. This flexibility enables artists to generate art based on their specific preferences and ideas.

The artworks generated by Midjourney are unique and original in the sense that they are created based on the text prompts provided. However, it’s important to note that the AI algorithms analyze vast amounts of existing artworks, which may influence the style and composition of the generated pieces.

Midjourney styles prompts open up a world of artistic possibilities, allowing users to explore various genres, styles, and creative ideas. Whether you prefer realistic portrayals, vibrant cartoons, or abstract expressions, Midjourney empowers artists and enthusiasts to bring their imagination to life. So why wait? Dive into the realm of Midjourney and unlock your creative potential today!

New Smaller Seo Conferences & Workshops

Search Engine Strategies, in all of its success and growth, is an amazing conference circuit attracting many from the worlds of SEO, search marketing, media buying, public relations and all types of businesses to its seminars.

But at times, the amount of people, information and networking can be overwhleming and if you’ve attended enough SES’s and keep up on industry news, the information in some of the sessions can be a bit lacking and redundant.

SES also comes around once a year to the major US business centers of New York, Chicago, San Jose and Miami; and if you or your colleagues are the types who crave real person interaction with others in the search marketing community, a year may be a bit too long to wait.

Enter a new conference business model which is taking off and adding an alternative to Search Engine Strategies, the smaller SEO or SEM conference.

Serveral groups have recently launched smaller workshops, seminars and conferences which fill the intimacy void that is not part of the SES lineup. These conferences, which cost a bit more to attend than SES, lead to more of a one on one experience with search industry experts that is well worth the price of participation.

* Elite Retreat : With limited availability, the Elite Retreat lives up to its name giving attendees the opportunity to discuss their business model and current or planned marketing structure with SEM and online marketing industry experts Jeremy Schoemaker, Lee Dodd, Aaron Wall, Darren Rowse, Kris Jones and Neil Patel.

* SEO Days : SEO focused conference is having its first 2 day event in London, hosted by David Naylor, Greg Boser and Jennifer Slegg .

* SEO Class : SEO and SEM conference will begin on March 23rd in NewYork with a free session for Non-Profit Organizations. SEO Class is hosted by industry experts Jeremy Schoemaker, Rae Hoffman, Todd Malicoat, Greg Niland and Michael Gray.

* High Rankings : Another limited edition 2 day conference on SEO, High Rankings Seminars have been teaching SEO on a personal leel for years. Speakers and diners (yes, you actually dine with the speakers) include Jill Whalen, Christine Churchhill, Karon Thackston, Scottie Claiborne, Matt Bailey and Lee Odden. The next High Rankings SEM Seminar will be help in Minneapolis, MN on March 15th & 16th.

For more information on these and other search engine conferences, I highly recommend Aaron Wall’s SEO Conference Calendar and reading Lee Odden’s post; SEO Training: Small is the New Big.

What are you waiting for? Attend the next search conference near you!

Parameters & Benefits Of Mobile Seo

Introduction to Mobile SEO

Hadoop, Data Science, Statistics & others

What is Mobile SEO?

Search Engine (SE) plays a big role in our day-to-day activities and does various things right, from locating hotels near us to finding a life partner. Google, Yahoo, Bing, Baidu, AOL, chúng tôi Excite, DuckDuckGo, Yandex, Lycos, chúng tôi and Wolfram Alpha enjoy global popularity as widely used search engines. With the queries typed by the users in any format, SE scans through the WEB, fetches the website details pertinent to the query, and lists them in the order it ranks them.

Parameters Used by Search Engine

The Parameters used by SE in ranking the results for listing are:

1. On-Page Parameters

a. content

Relevance to the user’s needs and meaningful engagement with users.

Effectiveness and Quality.

Variety (Blog, Social media, E-Book, White papers, Audio/Video).

Text in simple sentences with no spelling & grammar mistakes.

Fresh and updated.

b. HTML

Title Tag.

Meta Description.

Sub-headings.

Internal links to other sites.

Image Name and ALT Tag.

c. Keywords and Phrases

2. Off-Page Parameters

Trust factors.

Authority.

Backlinks.

Bounce rate.

Personal – Country, City.

The business aims to use this high rank achieved by SEO to:

Increase the hit ratio of their site.

Provide good exposure online.

Build brand value in the online space.

Expand the customer base.

Increase sales and revenue.

How does it Work?

SEO is applicable for both desktop and mobile searches. Some think that techniques used in mobile and desktops are the same. In reality, optimizing websites to suit unique scenarios in mobile searches requires considering additional parameters.

Mobile websites often display less text than desktop versions due to the smaller screen size, resulting in a difference in user experience.

Depending on the mobile’s size, we should use a different screen that is user-friendly and does not require the user to zoom in to read the content.

The search operation on mobile needs does not necessarily start from the typed query in the search engine screen. The starting point can be gesture search, voice search, and any other search unique to mobile.

Search Keywords conveys different meaning at different times. The keywords should be used along with the context.

Mobile users always like scroll-free screens. This limits the screen’s size for content display; hence, the website optimizer should aim to get the top rank in the SE listings.

Mobile websites should adopt any of the following configurations to remain competitive in getting ranks of SE.

1. Responsive Design

HTML code remains the same irrespective of the device.

Managed through meta name in source code to adjust the display settings to match the screen size.

A single URL makes it easy to share content.

People can avoid common mistakes in formatting.

2. Dynamic Serving

Dynamically change the HTML and CSS per the user’s device through the HTTP header.

3. Separate URLs

Different URLs have different HTML codes as per the user’s device.

Mobile SE optimization is not only restricted to websites, but it is extended to Apps. Study shows that Apps are discovered and downloaded from App stores only in 40% of the cases, and 25% of the time, SE returns apps listed for users to download and consume.

Right Keywords.

Ratings and reviews by the users.

Backlinks that will talk well about apps.

SE chooses the apps per the user’s query and lists them in the ranked order using the above parameters. Apps should be optimized for the above key parameters and make themselves eligible for a better ranking by SE.

Benefits of Using Mobile SEO

Mobile SEO helps Businesses to:

Build a strong online presence.

Make it easier for online users to reach the site.

Provide overall good experience to users in navigating screens and completing the transaction.

Ensure the standard performance level.

Understand the competitor and market dynamics.

Conclusion

Many organizations have migrated to mobile-only environments in their strategy due to smartphones’ proliferation and the availability of simple-to-use mobile technologies. There will be hardly any desktop searches in the future. We should refresh mobile SEO techniques to reflect new technological developments, user engagements, and search behaviors.