Phi-3-Mini is the first in a family of small language models Microsoft plans to release over the coming weeks. Phi-3-Small and Phi-3-Medium are in the works. In contrast to large language models like OpenAI’s ChatGPT and Google’s Gemini, small language models are trained on much smaller datasets and are said to be much more affordable for users.

We are excited to introduce Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding and math benchmarks.

Misha Bilenko Corporate Vice President, Microsoft GenAI

What are they for? For one thing, the reduced size of this language model may make it suitable to run locally, for example as an app on a smartphone. Something the size of ChatGPT lives in the cloud and requires an internet connection for access.

While ChatGPT is said to have over a trillion parameters, Phi-3-Mini has only 3.8 billion. Sanjeev Bora, who works with genAI in the healthcare space, writes: “The number of parameters in a model usually dictates its size and complexity. Larger models with more parameters are generally more capable but come at the cost of increased computational requirements. The choice of size often depends on the specific problem being addressed.”

Phi-3-Mini was trained on a relatively small dataset of 3.3 trillion tokens — instances of human language expressed numerically. But that’s still a lot of tokens.

Why we care. While it is generally reported, and confirmed by Microsoft, that these SLMs will be much more affordable than the big LLMs, it’s hard to find exact details on the pricing. Nevertheless, taking the promise at face-value, one can imagine a democratization of genAI, making it available to very small businesses and sole proprietors.

We need to see what these models can do in practice, but it’s plausible that use cases like writing a marketing newsletter, coming up with email subject lines or drafting social media posts just don’t require the gigantic power of a LLM.

Dig deeper: How a non-profit farmers market is leveraging AI

Are you torn between using long-form or short-form videos for your small business marketing campaign? Well, you are not alone. Despite 89% of consumers wanting to see more brand videos, there is no one-size-fits-all answer about the ideal video length.

However, this should not deter you from creating an effective video strategy. In 2023, people watched an average of 17 videos per day, highlighting the influence of video content in today’s digital landscape.

Both short-form and long-form videos offer unique advantages and come with their set of challenges. Join me as I uncover the benefits and limitations of each video format to help you make informed marketing decisions.

What are Short-Form Videos?

Short videos typically range from 30 seconds to less than 10 minutes long. They are popular on social media platforms like TikTok, Instagram, Snapchat, and YouTube.

Short-form videos deliver brief yet engaging messages that quickly capture the viewer’s attention. Here are some popular types of short-form video content.

• TikTok Challenges
• Instagram Reels
• Snapchat Stories
• YouTube Shorts
• Twitter Video Ads

Benefits of Short-Form Videos

A previously cited report shows that 39% of marketers find short-form videos, ranging from 30-60 seconds long, more successful. The same study reports that 44% of customers prefer watching a short video to learn about a brand’s offerings.

So, it is evident that short-form videos have their benefits. Let’s take a closer look at some of them.

Attention-Grabbing 

Short-form videos capture attention quickly, making them ideal for the fast-scrolling nature of social media platforms. Your audience is more likely to watch them in their entirety compared to longer content.

Cost-Effective Production 

Creating short-form videos requires less time and resources compared to longer videos. As a small business owner with a limited budget, using short-form videos can be cost-effective. 

Increased Engagement

Short-form videos engage viewers due to their crisp and concise nature. This results in more likes, comments, and shares that boost your content’s visibility and increase brand awareness. 

Integrating short-form videos into your influencer marketing campaigns can further amplify your reach to new and diverse audiences. 

Highly Shareable

Short videos are highly shareable. This makes it more likely for your viewers to share them, increasing their virality. 

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There are multiple benefits of adding video to your website including increased engagement, improved SEO, and enhanced user experience.

Limitations of Short-Form Videos

While short-form videos offer many advantages in content marketing, they also present some challenges.

Limited Message Depth

Due to their brief duration, short-form videos may struggle to convey complex or detailed messages. Longer videos might be more suitable if you need to communicate intricate information.

Competition for Attention

Standing out on platforms flooded with short-form video content can be challenging. You must create content that stands out to avoid becoming lost in the sea of other videos.

Shorter Lifespan 

Short videos may lose their relevance with time. They can quickly get buried in users’ feeds, leading to a shorter visibility and engagement period than longer, evergreen content. 

This means you must consistently create short-form videos to maintain audience interest over time.

Limited SEO Impact

Short-form videos may be more challenging to optimize for search engines than longer, more keyword-rich content. This can affect the discoverability of your content outside the social media scene.

What are Long-Form Videos?

Long-form videos are typically longer, ranging from a few minutes to several hours. They extend beyond a few minutes to several hours, providing ample time for in-depth topic exploration and detailed content. 

These videos are particularly suitable for educational content, product demonstrations, and narrative-driven storytelling. Long-form videos are common on platforms like YouTube and Vimeo. Common types of long-form video content include:

• YouTube Series
• Webinars
• Educational Tutorials and Courses:
• Behind-the-Scenes Content 
• Interviews and Conversations

Advantages of Long-Form Videos

Long-form video content is the fastest-growing segment, with videos above 30 minutes experiencing tremendous growth over the years. Let’s explore some of the benefits behind this growth.

Establishes Expertise and Credibility

Long-form videos allow you to provide in-depth information about various subjects, establishing your brand as an authority. Potential customers will likely trust and rely on your insights when you consistently deliver valuable content.

Builds Strong Audience Connections 

The more your audience watches your videos, the more they become familiar with your content and brand. This consistent engagement promotes trust and loyalty, helping you create deeper connections with your audience.

Provide SEO Optimization Opportunities

Long-form videos keep your audience engaged for a longer duration than short ones. This signals search engines that your content provides value, resulting in higher rankings and increased visibility. 

Besides, these videos provide opportunities to optimize for relevant keywords. This Attrock guide offers more insights into the value of SEO for your small business. 

They Are Sustainable

Unlike short videos, well-produced and valuable long-form videos have an extended shelf life. They can continue to attract views and engagement over an extended period, contributing to a sustainable content strategy.

Instagram reels are also a part of short videos and you can get benefits from this platform by integrating it with your website. You can learn how to embed Instagram Reels on websites and get extra benefits from your Reels.

Drawbacks of Long-Form Videos

Despite their benefits, long-form videos also have certain limitations, including:

Attention Span Challenges

Between distractions, juggling tasks, and information overload, user attention span quickly diminishes. Viewers may lose interest and disengage from your long video before its conclusion.

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Complex Production Process

Creating high-quality long-form videos requires more resources, including time, equipment, and skilled personnel. This can be disadvantageous, especially for small businesses with limited budgets.

Platform Limitations

Some social media platforms and video hosting sites may limit video length, making it challenging to distribute long-form video content. You may then be forced to repurpose your content to suit various platforms. 

Short-Form or Long-Form Videos: Which Are Better?

Now that you know the benefits and limitations of each format, which one should you choose? Short-form or long-form videos?

Well, it all boils down to considering several factors, such as: 

Content Objectives

What do you want to achieve from your video marketing campaign? Short-form videos are highly effective for quick brand exposure and generating buzz. Long-form videos, on the other hand, contribute to a more in-depth understanding of the brand.

Target Audience Preferences

Audiences with short attention spans likely prefer short-form videos, while long-form videos appeal to those seeking a more immersive experience.

Similarly, short-form videos may appeal more to younger audiences, while older demographics may prefer the depth of long-form content.

Platform Dynamics

Various platforms support different content formats. Short-form videos are well-suited for platforms like TikTok, Instagram, and Snapchat. On the other hand, platforms like YouTube and Vimeo are better for hosting longer videos.

Industry Type

Short-form videos would be ideal if your industry thrives on trends, entertainment, and quick messages. However, long-form videos are effective for industries requiring in-depth explanations or educational content.

Bottom Line 

Ultimately, choosing short-form or long-form videos depends on your business’s specific needs and goals. Since both formats have advantages and limitations, making a choice may prove difficult. 

However, it doesn’t have to be an uphill task. The key lies in recognizing when to incorporate each video format into your marketing strategy. Understanding your audience and its needs allows you to combine both formats strategically, maximizing the benefits of each. 

Continuously analyze performance metrics and adapt your video marketing strategy accordingly to ensure optimal engagement and conversion rates.

SEO enthusiasts, known for naming algorithm updates after animals and embracing melodrama, find themselves in a landscape where the “adapt or die” mantra prevails. So when Google announced the launch of its Search Generative Experience (SGE) in May of 2023 at Google/IO, you can imagine the reaction was immense.

Although SGE has the potential to be a truly transformative force in the landscape, we’re still waiting for SGE to move out of the Google Labs Sandbox and integrate into standard search results. 

Curious about our current take on SGE and its potential impact on SEO in the future? Read on for more.

Decoding Google’s Defensive Move

In response to potential threats from competitors like ChatGPT, Bing, TikTok, Reddit, and Amazon, Google introduced SGE as a defensive maneuver. However, its initial beta release raised questions about its readiness and global deployment.

ChatGPT provided an existential threat that had the potential to eat into Google’s market share. When Bing started incorporating it into its search results, it was one of the most significant wins for Bing in a decade. In combination with threats from TikTok, Reddit, and Amazon, we see a more fractured search landscape less dominated by Google. Upon its launch, the expectation was that Google would push its SGE solution globally, impact most queries, and massively shake up organic search results and strategies to improve organic visibility.

Now, industry leaders are starting to question if Google is better off leaving SGE in the testing ground in Google labs. According to Google’s recent update, it appears that SGE will remain an opt-in experience in Google Labs (for at least the short term). If SGE was released, there could be a fundamental reset in understanding SEO. Everything from organic traffic to optimization tactics to tracking tools would need adjustments for the new experience. Therefore, the prospect of SGE staying in Google Labs is comforting if not entirely reliable. 

The ever-present option is that Google can change its mind at any point and push SGE out broadly as part of its standard search experience. For this reason, we see value in learning from our observations with SGE and continuing to stay on top of the experience.

SGE User Experience and Operational Challenges

If you’ve signed up for search labs and have been experimenting with SGE for a while, you know firsthand there are various issues that Google should address before rolling it out broadly to the public.

At a high level, these issues fall into two broad categories including user experience issues and operational issues.

Below are some significant issues we’ve come across, with Google making notable progress in addressing certain ones, while others still require improvement:

• Load time – Too many AI-generated answers take longer to load than a user is willing to wait. Google recommends less than a 3-second load time to meet expectations. They’ll need to figure out how to consistently return results quickly if they want to see a higher adoption rate.
• Layout – The SGE layout is massive. We believe any major rollout will be more streamlined to make it a less intrusive experience for users and allow more visibility for ads, and if we’re lucky, organic results. Unfortunately, there is still a decent chance that organic results will move below the fold, especially on mobile devices. Recently, Google has incorporated more results where users are prompted to generate the AI result if they’d like to see it. The hope is Google makes this the default in the event of a broad rollout where users can generate an AI result if they want one instead of assuming that’s what a user would like to see. 
• Redundancy – The AI result duplicates features from the map pack and quick answer results. 
• Attribution – Due to user feedback, Google includes sources on several of their AI-powered overviews where you can see relevant web pages if there is an arrow next to the result. Currently, the best way to appear as one of these relevant pages is to be one of the top-ranked results, which is convenient from an optimization standpoint. Changes to how attribution and sourcing are handled could heavily impact organic strategies. 

On the operational side, Google also faces significant hurdles to making SGE a viable product for its traditional search product. The biggest obstacle appears to be making the cost associated with the technology worth the business outcomes it provides. If this was a necessary investment to maintain market share, Google might be willing to eat the cost, but if their current position is relatively stable, Google doesn’t have much of an incentive to take on the additional cost burden of heavily leveraging generative AI while also presumably taking a hit to their ad revenue. Especially since slow user adoption doesn’t indicate this is something users are demanding at the moment.

While the current experience of SGE is including ads above the generative results now, the earliest iterations didn’t heavily feature sponsored ads. While they are now included, the current SGE layout would still significantly disrupt the ad experience we’re used to. During the Google I/O announcement, they made a statement to reassure advertisers they would be mindful of maintaining a distinct ad experience in search.  

“In this new generative experience, Search ads will continue to appear in dedicated ad slots throughout the page. And we’ll continue to uphold our commitment to ads transparency and making sure ads are distinguishable from organic search results” – Elizabeth Reid, VP, Search at Google

Google is trying to thread a delicate needle here of staying on the cutting edge with their search features, while trying not to upset their advertisers and needlessly hinder their own revenue stream. Roger Montti details more of the operational issues in a recent article digging into the surprising reasons SGE is stuck in Google Labs.

He lists three big problems that need to be solved before SGE will be integrated into the foreground of search:

1. Large Language Models being inadequate as an information retrieval system
2. The inefficiency and cost of transformer architecture
3. Hallucinating (providing inaccurate answers)

Until SGE provides more user value and checks more boxes on the business sense side, the traditional search experience is here to stay. Unfortunately, we don’t know when or if Google will ever feel confident they’ve addressed all of these concerns, so we’ll need to stay prepared for change.

Experts Chime in on Search Generative Experience

Our team has been actively engaging with SGE, here’s a closer look at their thoughts and opinions on the experience so far:

“With SGE still in its early stages, I’ve noticed consistent changes in how the generative results are produced and weaved naturally into the SERPs. Because of this, I feel it is imperative to stay on top of these on-going changes to ensure we can continue to educate our clients on what to expect when SGE is officially incorporated into our everyday lives. Although an official launch date is currently unknown, I believe proactively testing various prompt types and recording our learnings is important to prepare our clients for this next evolution of Google search.”

– Jon Pagano, SEO Sr. Specialist at Tinuiti

“It’s been exciting to watch SGE grow through different variations over the last year, but like other AI solutions its potential still outweighs its functionality and usefulness. What’s interesting to see is that SGE doesn’t just cite its sources of information, but also provides an enhanced preview of each webpage referenced. This presents a unique organic opportunity where previously untouchable top 10 rankings are far more accessible to the average website. Time will tell what the top ranking factors for SGE are, but verifiable content with strong E-E-A-T signals will be imperative.”

–Kate Fischer, SEO Specialist at Tinuiti

“Traditionally, AI tools were very good at analytical tasks. With the rise of ChatGPT, users can have long-form, multi-question conversations not yet available in search results. When, not if, released, Google’s Generative Experience will transform how we view AI and search. Because there are so many unknowns, some of the most impactful ways we prepare our clients are to discover and develop SEO strategies that AI tools can’t directly disrupt, like mid to low funnel content.”

– Brandon Miller, SEO Specialist at Tinuiti

“SGE is going to make a huge impact on the ecommerce industry by changing the way users interact with the search results. Improved shopping experience will allow users to compare products, price match, and read reviews in order to make it quicker and easier for a user to find the best deals and purchase. Although this leads to more competitive results, it also improves organic visibility and expands our product reach. It is more important than ever to ensure all elements of a page are uniquely and specifically optimized for search. With the SGE updates expected to continue to impact search results, the best way to stay ahead is by focusing on strong user focused content and detailed product page optimizations.” 

– Kellie Daley, SEO Sr. Specialist at Tinuiti

Navigating the Clash of Trends

One of the most interesting aspects of the generative AI trend in search is that it appears to be in direct opposition to other recent trends.

One of the ways Google has historically evaluated the efficacy of its search ranking systems is through the manual review of quality raters. In their quality rater guidelines, raters were instructed to review for things like expertise, authority, and trustworthiness (EAT) in results to determine if Google results are providing users the information they deserve. 

In 2022, Google updated their search guidelines to include another ‘e’ in the form of experience (EEAT). In their words, Google wanted to better assess if the content a user was consuming was created by someone with, “a degree of experience, such as with actual use of a product, having actually visited a place or communicating what a person has experienced. There are some situations where really what you value most is content produced by someone who has firsthand, life experience on the topic at hand.” 

Generative AI results, while cutting-edge technology and wildly impressive in some cases, stand in direct opposition to the principles of E-E-A-T. That’s not to say that there’s no room for both in search, but Google will have to determine what it thinks users value more between these competing trends. The slow adoption of SGE could be an indication that a preference for human experience, expertise, authority, and trust is winning round one in this fight. 

Along these lines, Google is also diversifying its search results to cater to the format in which users get their information. This takes the form of their Perspectives Filter. Also announced at Google I/O 2023, the perspectives filter incorporates more video, image, and discussion board posts from places like TikTok, YouTube, Reddit, and Quora. Once again, this trend shows the emphasis and value searchers place on experience and perspective. Users value individual experience over the impersonal conveyance of information. AI will never have these two things, even if it can provide a convincing imitation.

The current iteration of SGE seems to go too far in dismissing these trends in favor of generative AI. It’s an interesting challenge Google faces. If they don’t determine the prevailing trend correctly, veering too far in one direction can push more market share to ChatGPT or platforms like YouTube and TikTok.

Final Thoughts

The range of outcomes remains broad and fascinating for SGE. We can see this developing in different ways, and prognostication offers little value, but it’s invaluable to know the potential outcomes and prepare for as many of them as possible.

It’s critical that you or your search agency be interacting and experimenting with SGE because:

• The format and results will most likely continue to see significant changes
• This space moves quickly and it’s easy to fall behind
• Google may fix all of the issues with SGE and decide to push it live, changing the landscape of search overnight
• SGE experiments could inform other AI elements incorporated into the search experience

Ultimately, optimizing for the specific SGE experience we see now is less important because we know it will inevitably continue changing. We see more value in recognizing the trends and problems Google is trying to solve with this technology. With how quickly this space moves, any specifics mentioned in this article could be outdated in a week. That’s why focusing on intention and process is important at this stage of the game.

By understanding the future needs and wants SGE is attempting to address, we can help you future-proof your search strategies as much as possible. To some extent we’re always at the whims of the algorithm, but by maintaining a user-centric approach, you can make your customers happy, regardless of how they find you.