MARKETING
2023 Facebook Algorithm Guide: Overview & Best Practices
Every month, 2.7 billion people use Facebook, Meta’s globe-dominating social network. For marketers, this is an un-ignorable audience. However, reaching that audience isn’t always easy – to get content in front of a relevant user, they need to make the Facebook algorithm work in their favor.
Unfortunately, the algorithm can feel very mysterious. Why do some posts go viral with engagement while others wither and disappear without so much as a few courtesy likes?
The good news is that while the technical rules governing Facebook’s algorithm may be in a black box, there are plenty of guidelines and common-sense tips that can help ensure your content gets prioritized and seen. Facebook has published many explainers and tutorials over the past few years to break down how its algorithm ranks and distributes content to users’ Feeds.
Here’s how Facebook’s algorithm works in 2023 with ten expert tips on increasing the impact, performance and lifecycle of your Facebook content.
Table of Contents
- What is the Facebook Algorithm?
- A Recent History of the Facebook Algorithm
- How the Facebook Algorithm Works in 2023
- 10 Best Practices for Working with Facebook’s Algorithm
- Final Takeaway
What is the Facebook Algorithm?
The Facebook algorithm is the set of rules and formulas that determine what content users see in their Feeds. Its goal is to make the posts that “matter most to the user” highly visible to that user. To do this, it analyzes each piece of content eligible to be displayed and ranks them according to a set of criteria.
As Facebook explains, the algorithm is actually “not just one single algorithm; it’s multiple layers of [machine learning] models and rankings that we apply to predict the most relevant and meaningful content for each user.”
If that sounds complex, that’s because of the sheer volume of content on the Facebook platform. There are over 2 billion Facebook users and trillions of posts they can see; the algorithm needs to be sophisticated to sort through all that content in an instant between launching the Facebook application and the population of each user’s Feed.
A Recent History of the Facebook Algorithm
Since 2017, Facebook has been increasingly transparent about significant changes in how it ranks and distributes content. That also means the algorithm is constantly evolving. In general, those updates have favored user input, posts friends and family over publishers, and content personalized to a user’s interests… all geared toward generating more “meaningful interactions.” These updates include:
- Meaningful Interactions Update (2018) – This update signaled that the algorithm would predict which posts a user might want to interact with their friends about and show these posts higher in Feed. These posts inspire discussion in the comments and posts that users might want to share and react to.
- Updates to Video Rankings (2019) – This update boosted the rankings of video posts that users sought out and returned to, watched for more than one minute at a time, and were original creations and not repurposed content.
- Addressing Sensational Health Claims (2019) – This update applied some of the existing “clickbait” rules specifically to posts making medical or health claims in an effort to reduce misinformation. Exaggerated or sensational claims were deprioritized, as were posts promoting products that advertised “miracle” cures.
The past three years have seen additional updates, and since they’re more recent, they deserve closer examination.
2020: Key takeaway from 2020
In 2020, Facebook modified its algorithm again to give more weight to original, credible news sources and create more personalized advertising encounters for users based on their interactions. Additional updates this year included changes designed to comply with Apple’s iOS 14’s privacy guidelines.
- Prioritizing Original Sources: In response to users continually reporting a preference for “news stories that are credible and informative,” Facebook announced that it would make ongoing updates that “prioritize articles in News Feed that we identify as original reporting on a developing story or topic.”
- Personalized Ads: The Facebook algorithm serves advertisements to a user’s Feed based on the posts and pages they have engaged with previously. Businesses are also given the option to share information about the actions that users take on their websites and apps so they can show the most relevant content in users’ Facebook Feeds. To balance this process of information gathering and sharing, which also lays the foundation for personalized advertising on the platform, Facebook instituted the “Why am I seeing this ad” feature and the “Ad Preferences” dashboard for users (and to address privacy concerns).
- Retargeting Limitations: Even with expanded personalization, Facebook had to respond to the significant privacy and permissioning guidelines i=within the Apple iOS 14 update released in 2020 (Tinuiti’s Liz Emery takes a more detailed look at this topic here). When Apple users install or update to iOS 14, they will be prompted to opt-in or opt out of data sharing. While Facebook has other variables that can be used to identify devices, such as the associated email address and phone number, targeting that depends on users sharing their data at the device level is restricted based on this update.
2021: Machine Learning and User Control
In 2021, Facebook released new details about how the algorithm governing users’ Feeds works and increased the amount of control users have over what they see.
- Favorites: A new tool where users can control and prioritize posts in their Feeds from the friends and Pages they choose. By selecting up to 30 friends and Pages to include in Favorites, their posts will appear higher in ranked and can also be viewed as a separate filter.
- Revealing the algorithm’s machine learning mechanics: In 2021, Facebook published an in-depth post explaining how the Feed predicts what users want to see. For the first time, it detailed the machine learning processes behind predicting what users see in their Feeds based on various factors, including what and whom they’ve followed, liked, or engaged with recently. These mechanics are largely still in place today.
Source: Facebook
2022: From ML to AI
Last year, the Facebook algorithm evolved further in the direction of user control and augmented its use of machine learning tools with more sophisticated artificial intelligence systems. These two updates went hand-in-hand. Users were given a new function on each post they saw, the “Show More/Show Less” feature. Selecting “Show More” would increase the ranking score for that post, increasing the likelihood of a similar post or a similar user appearing in the user’s Feed. The inverse would happen when “Show Less” is selected.
These per-post user inputs are simultaneously helping the AI system generalize how relevant future content will be for that user. Or as Facebook puts it, “by offering more ways to incorporate direct feedback into Feed ranking, we’re making our artificial intelligence systems smarter and more responsive.”
Facebook’s AI model generates what the company calls user and content embeddings, which help predict the types of content a person wants to see more of or less of in their Feed. Another Facebook blog post from 2022 explains that a “user embedding captures a person’s tastes, while the content embedding captures the essence of what a post is about.”
One last update from 2022 – what was once called the Facebook News Feed is now just the “Feed.” That’s how we refer to it throughout this article, except where relevant due to historical discussion.
How the Facebook Algorithm Works in 2023
That’s the state of the Facebook algorithm in 2023 – it has evolved to become an AI-powered, user-centric model designed to present users with relevant, welcome content in their Feeds. Even though Meta will admit that the algorithm isn’t perfect (and may never be), Facebook has demonstrated a willingness to modify its processes to give users what they want.
Despite the Facebook algorithm’s complexity and integration of new technologies like AI and machine learning, understanding its core functionality boils down to four ranking factors.
The Four Ranking Factors Fueling the Facebook Feed Algorithm
Prioritizing what “matters” to users has been one of the most consistent purposes of the Feed and all of its previous iterations. The goal of Facebook’s algorithm is to “show stories that matter to users,” according to Adam Mosseri, VP of Facebook’s News Feed Management. That aim is reflected across the platform’s many updates and tweaks to its algorithm, from more user control to increased personalization on advertisements.
With that in mind, you should know how Facebook’s different algorithm factors work together to determine which stories “matter” to a user. And Facebook made these factors easy to understand in its published help center post.
1. Inventory
Inventory represents the stock of all content that can display to a user on Facebook’s News Feed, which fluctuates based on user activity once scrolling has begun. This includes everything posted by friends and publishers.
2. Signals
Signals represent the information that Facebook can gather about a piece of content. Signals are the single factor that you have control over.
These are your inputs that Facebook interprets; type of content, the publisher, its age, purpose, and more.
You want your content to signal to Facebook that it’s meaningful and relevant to your target audience.
3. Predictions
Predictions represent a user’s behavior and how likely they are to engage with a content piece. Will a user watch a video to completion? Will they select the “Show More” feature on the post?
Predictions take authentic engagement like comments, likes, and shares from real profiles into account.
4. Relevancy Score
Relevancy Score is the final number assigned to a piece of content based on the likelihood that the user will respond positively to it. It also accounts for whether a post is “clickbait,” whether it links to a low-quality webpage, or if it’s misinformative in some way.
10 Best Practices for Working with Facebook’s Algorithm
So how can you tailor your content to ensure a high Relevancy Score and a strong enough ranking to appear in your target audience’s Feeds? Most of the following tips will be common sense if you currently produce content for social audiences, but many are specific to the sophisticated Facebook algorithm.
Here are some guidelines and best practices for keeping your content meaningful in Facebook’s eyes, based on our research, Facebook’s recommendations, and Matt Navara and Paul Armstrong’s coverage of Facebook’s News Feed webinar.
1. Keep posts relevant to your audience
Your content should always be relevant to your core audience — the people you want to build a community around. If your content is relevant to a user, the Facebook algorithm is likely to interpret that content as “meaningful,” a key consideration in ranking.
Stories should be compelling enough for a user to want to share with family and friends. Content should be informative and interesting… and, of course, accurate.
Products, education and lifestyle imagery, should reinforce your post’s meaningful and informative nature and build on your identity as a brand answering to a specific audience.
2. Engage readers and encourage interaction
Facebook’s News Feed algorithm favors content that fosters positive interactions between your followers and others.
Any piece of content, from products to education to entertainment — should provoke conversation. Remember that conversations can’t be one-sided; you want your audience to respond, but you must also respond to them when possible.
You want your content to prompt people to stop their scroll, interact, and share. Interaction is a crucial weighting factor for the Facebook algorithm, so all your content should be tailored to maximize engagement.
3. But don’t use clickbait or engagement bait
Remember all those “like if…” and “share if you are…” posts?
This is considered engagement baiting; it doesn’t add value or interaction for users. It may not entirely be clickbait, but the Facebook algorithm will penalize it as though it were.
Avoid asking people to “please comment, like, and share.” Your content should inspire them to engage without having to ask.
Facebook penalizes brands that encourage comments, likes, and shares on organic and ad posts. Keep this in mind when developing content for Instagram and Facebook.
4. Expand your post reach with employees and brand advocates
Because the Facebook algorithm gives preference to posts from users’ friends, families and the pages they interact with, your company’s Facebook page will have naturally limited reach. This is where enlisting employees and brand advocates can have a real impact.
Facebook represents your widest audience, but to reach them, you need to engage the audience closest to home. Encouraging your work team to share your brand’s content with their networks broadens the reach of the post or piece of content and your brand. Directly engaging with Facebook users who are already devotees of your brand and asking them to share content with their friends and family can have a similar effect.,
5. Or put ad dollars behind content with organic momentum
The new Facebook algorithm values content that performs well organically, and you can build off that momentum by boosting or promoting that content with ad dollars.
Content that already has strong organic traction means lower CPCs which, combined with ad dollars, can act as a snowball effect for your content.
Identify opportunities for ads based on organic post engagement and tap into Facebook Ads Manager tools by leveraging these posts in ads.
Conversely, don’t waste ad dollars on poor-performing organic content. It will have higher CPCs and cost you more while offering less in return.
“If a post performs well with engagement, likes, and shares, there’s an opportunity to place additional ad dollars to drive that performance even further.”
— Nii Ahene, Chief Strategy Officer at Tinuiti
6. Create compelling, original video content
2019 was the year that Facebook began leaning into its video offering in earnest, and it hasn’t stopped since. Today, the video formats available on Facebook have expanded to include Reels and Stories (shorter clips), Video on Demand and Live video. Reels, in particular, is Facebook’s fastest-growing content format “by far.” s video continues to be the top-performing content type across all social media networks, focusing on video should be a central part of your Facebook marketing strategy.
For your video content to perform best in the Feed, Facebook recommends that it be original, capture the audience’s attention, spark engagement, and inspire users to seek additional video content from the same source.
To create original and authentic Reels, Stories and full-length videos, make sure they capture your brand’s voice and avoid duplicating content. To retain attention, ensure your creative and copy is optimized towards mobile viewing (i.e., shortened copy, readable overlays, shortened headlines). And to generate engagement, encourage discussion and genuine interactions (but like always, avoid engagement bait).
7. Inspire audiences and evoke emotion with storytelling
Just as videos should be original, engaging and attention-grabbing, so should any content you post on Facebook. Understand the kinds of stories that resonate with your audience and craft your posts to tell those stories in an exciting way.
You can create connections with your audience through authenticity, interactivity and accuracy. But the surest way is by listening. Ask for feedback. Learn their interests. Take cues from their activity on other platforms. When you know what your audience cares about, you have a better chance of inspiring them… and a better chance of rising to the top of their Feeds.
8. Post authentic and truthful content
Facebook says that “authentic stories are the ones that resonate most” and that users want to see accurate information. After the controversies surrounding “fake news” and the spread of dis- and misinformation on the platform in recent years, the company has made promoting truthful content central to the Facebook algorithm’s function.
To signal that your content is genuine and accurate, write clear headlines free from exaggeration or sensationalism. Use well-sourced, reliable information, and avoid sharing content from sources you need clarification on. And above all, don’t lie or try to mislead with your content.
9. Schedule content when readers are likely to engage
The Facebook Feed is no longer chronological, but timing can still impact post performance within the algorithm. You want to post content when your audience is likely to engage with it, which is likely in the evening or overnight, but it can vary widely by the user. There is some research exploring the objectively ideal time for posting, but the ultimate best practice is understanding your audience and when they are most likely to be on the platform.
10. Learn what works by tracking content performance
After you’ve published your content, remember to use Facebook Insights to track the performance of your content. This will help you understand how your different content pieces are performing in terms of engagement, which is the key ranking metric.
Facebook also offers a variety of tools designed to help you measure both organic content and paid ads. Choose the best tools for your brand, and track performance regularly. Learn from your own Insights data and the tools you use, and optimize your content from there.
Final Takeaway
The Facebook algorithm is sophisticated and constantly evolving. There are few shortcuts and no way to “hack” it. But the steps outlined in this article can help make the algorithm work for you and help you get your content in front of the Facebook users who need to see it.
Want to work with our team of Facebook experts? Reach out today!
Editor’s Note: This post was originally published by Greg Swan in April 2020 and has been updated for freshness, accuracy, and comprehensiveness.
MARKETING
Navigating the Video Marketing Maze: Short-Form vs. Long-Form
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.
MARKETING
The Current State of Google’s Search Generative Experience [What It Means for SEO in 2024]
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:
- Large Language Models being inadequate as an information retrieval system
- The inefficiency and cost of transformer architecture
- 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.
MARKETING
How to create editorial guidelines that are useful + template
Before diving in to all things editorial guidelines, a quick introduction. I head up the content team here at Optimizely. I’m responsible for developing our content strategy and ensuring this aligns to our key business goals.
Here I’ll take you through the process we used to create new editorial guidelines; things that worked well and tackle some of the challenges that come with any good multi – stakeholder project, share some examples and leave you with a template you can use to set your own content standards.
What are editorial guidelines?
Editorial guidelines are a set of standards for any/all content contributors, etc. etc. This most often includes guidance on brand, tone of voice, grammar and style, your core content principles and the types of content you want to produce.
Editorial guidelines are a core component of any good content strategy and can help marketers achieve the following in their content creation process:
- Consistency: All content produced, regardless of who is creating it, maintains a consistent tone of voice and style, helping strengthen brand image and making it easier for your audience to recognize your company’s content
- Quality Control: Serves as a ‘North Star’ for content quality, drawing a line in the sand to communicate the standard of content we want to produce
- Boosts SEO efforts: Ensures content creation aligns with SEO efforts, improving company visibility and increasing traffic
- Efficiency: With clear guidelines in place, content creators – external and internal – can work more efficiently as they have a clear understanding of what is expected of them
Examples of editorial guidelines
There are some great examples of editorial guidelines out there to help you get started.
Here are a few I used:
1. Editorial Values and Standards, the BBC
Ah, the Beeb. This really helped me channel my inner journalist and learn from the folks that built the foundation for free quality journalism.
How to create editorial guidelines, Pepperland Marketing
After taking a more big picture view I recognized needed more focused guidance on the step by step of creating editorial guidelines.
I really liked the content the good folks at Pepperland Marketing have created, including a free template – thanks guys! – and in part what inspired me to create our own free template as a way of sharing learnings and helping others quickstart the process of creating their own guidelines.
3. Writing guidelines for the role of AI in your newsroom?… Nieman Lab
As well as provide guidance on content quality and the content creation process, I wanted to tackle the thorny topic of AI in our editorial guidelines. Specifically, to give content creators a steer on ‘fair’ use of AI when creating content, to ensure creators get to benefit from the amazing power of these tools, but also that content is not created 100% by AI and help them understand why we feel that contravenes our core content principles of content quality.
So, to learn more I devoured this fascinating article, sourcing guidance from major media outlets around the world. I know things change very quickly when it comes to AI, but I highly encourage reading this and taking inspiration from how these media outlets are tackling this topic.
Learn more: The Marketer’s Guide to AI-generated content
Why did we decide to create editorial guidelines?
1. Aligning content creators to a clear vision and process
Optimizely as a business has undergone a huge transformation over the last 3 years, going through rapid acquisition and all the joys and frustrations that can bring. As a content team, we quickly recognized the need to create a set of clear and engaging guidelines that helps content creators understand how and where they can contribute, and gave a clear process to follow when submitting a content idea for consideration.
2. Reinvigorated approach to brand and content
As a brand Optimizely is also going through a brand evolution – moving from a more formal, considered tone of voice to one that’s much more approachable, down to earth and not afraid to use humor, different in content and execution.
See, our latest CMS campaign creative:
It’s pretty out there in terms of creative and messaging. It’s an ad campaign that’s designed to capture attention yes, but also – to demonstrate our abilities as a marketing team to create this type of campaign that is normally reserved for other more quote unquote creative industries.
We wanted to give guidance to fellow content creators outside the team on how they can also create content that embraces this evolved tone of voice, while at the same time ensuring content adheres to our brand guidelines.
3. Streamline content creation process
Like many global enterprises we have many different content creators, working across different time zones and locations. Documenting a set of guidelines and making them easily available helps content creators quickly understand our content goals, the types of content we want to create and why. It would free up content team time spent with individual contributors reviewing and editing submissions, and would ensure creation and optimization aligns to broader content & business goals.
It was also clear that we needed to document a process for submitting content ideas, so we made sure to include this in the guidelines themselves to make it easy and accessible for all contributors.
4. 2023 retrospective priority
As a content team we regularly review our content strategy and processes to ensure we’re operating as efficiently as possible.
In our last retrospective. I asked my team ‘what was the one thing I could do as a manager to help them be more impactful in their role?’
Editorial guidelines was the number 1 item on their list.
So off we went…
What we did
- Defined a discrete scope of work for the first version of the editorial guidelines, focusing on the Blog and Resources section of the website. This is where the content team spends most of its time and so has most involvement in the content creation process. Also where the most challenging bottlenecks have been in the past
- Research. Reviewed what was out there, got my hands on a few free templates and assembled a framework to create a first version for inputs and feedback
- Asked content community – I put a few questions out to my network on LinkedIn on the topic of content guidelines and content strategy, seeking to get input and guidance from smart marketers.
- Invited feedback: Over the course of a few weekswe invited collaborators to comment in a shared doc as a way of taking iterative feedback, getting ideas for the next scope of work, and also – bringing people on the journey of creating the guidelines. Look at all those reviewers! Doing this within our Content Marketing Platform (CMP) ensured that all that feedback was captured in one place, and that we could manage the process clearly, step by step:
Look at all those collaborators! Thanks guys! And all of those beautiful ticks, so satisfying. So glad I could crop out the total outstanding tasks for this screen grab too (Source – Optimizely CMP)
- Updated content workflow: Now we have clear, documented guidance in place, we’ve included this as a step – the first step – in the workflow used for blog post creation:
Source: Optimizely CMP
Results
It’s early days but we’re already seeing more engagement with the content creation process, especially amongst the teams involved in building the guidelines (which was part of the rationale in the first place :))
Source: My Teams chat
It’s inspired teams to think differently about the types of content we want to produce going forwards – for the blog and beyond.
I’d also say it’s boosted team morale and collaboration, helping different teams work together on shared goals to produce better quality work.
What’s next?
We’re busy planning wider communication of the editorial guidelines beyond marketing. We’ve kept the original draft and regularly share this with existing and potential collaborators for ongoing commentary, ideas and feedback.
Creating guidelines has also sparked discussion about the types of briefs and templates we want and need to create in CMP to support creating different assets. Finding the right balance between creative approach and using templates to scale content production is key.
We’ll review these guidelines on a quarterly basis and evolve as needed, adding new formats and channels as we go.
Key takeaways
- Editorial guidelines are a useful way to guide content creators as part of your overall content strategy
- Taking the time to do research upfront can help accelerate seemingly complex projects. Don’t be afraid to ask your community for inputs and advice as you create
- Keep the scope small at first rather than trying to align everything all at once. Test and learn as you go
- Work with stakeholders to build guidelines from the ground up to ensure you create a framework that is useful, relevant and used
And lastly, here’s that free template we created to help you build or evolve your own editorial guidelines!
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