You are reading the article How To Pick Memorable Images For Your Content updated in December 2023 on the website Kientrucdochoi.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested January 2024 How To Pick Memorable Images For Your Content
It’s pretty clear that images are a big factor for improving content marketing pieces.
While “the more the better” isn’t factually accurate as adding 100 images for the sake of images isn’t smart, more than zero is a good start.
Images can help readers break down sections of expansive content and pull the key information from it.
How do you know what images are memorable and which to include in your content to do that?
I’ll show you.How Many Images Should Content Have?
Before we jump into picking memorable images for your content, it’s important to know how many images your content pieces need.
There is no set, magical number that will launch your conversions through the roof.
It’s not like adding 15 images instead of 11 is going to make a world of difference in your content.
In fact, adding too many images for the sole purpose of imagery can backfire on you.
Image totals depend completely on the:
Type of content you are writing.
Are you writing content for a beginner audience? You probably need more images to explain steps and show how specific tools work.
If you are writing to CEOs, showcasing a tool walkthrough doesn’t really make sense. Why? CEOs are rarely in the day to day grunt-work using marketing tools. They are delegating that task to someone else.
Using images in content is more complex than meets the eye.
Before starting to add images to your next post, first consider your target audience in detail to understand what they expect, want, and what can be directly applied in their day-to-day as efficiently as possible.
Now, let’s go over some surefire ways to pick memorable images for your next post.1. Avoid Stock Photos in Body Content
Stock photos can feel magical at first:
Precreated, crystal clear, high-quality images that fit almost any topic and search query.
But when it comes to aiding your body content in a post, stock photos suck big time.
Stock photos can be fantastic for featured images, but they add zero value when randomly throw into the body of your content.
Why? They are too generic to fit your subject and simple screenshots could produce more effective visual stimulus.
Stock photos don’t have the data-backing, either. Studies have repeatedly shown them to produce even negative effects.
Avoid using stock photos in the body content and try using more tutorials, walkthroughs, and screenshots.2. Showcase More Screenshots, Tutorials & Walkthroughs
Memorable content contains tidbits that are either actionable in nature or thought-provoking.
And both of these require some form of guided walkthrough, tutorial, or screenshots to showcase examples.
Tutorials are only effective if you show, not tell.
Through-provoking posts demand images to show what you are talking about and bring it to life.
The easiest way to add images to your posts is by doing any of the above.
Showcase step-by-step how you used a specific marketing tool to get the job done. Show what settings you tweaked:
Show the exact piece of information you want readers to focus on when they look at your image:
Most images can be complex and detailed with dozens of different factors at play.
Highlighting and calling-out specific sections of the image saves the reader time and frustration by literally signaling the important aspects for them.
Using a tool like Skitch or Evernote, you can screenshot and highlight images to do just that:
If you are just using basic screenshots without these functions, readers could get frustrated and confused, leaving them with less value than you want to give and that your post surely offers.
No matter what type of post you are writing, try including examples via screenshots and walkthroughs. Provide call-outs to focus attention on the important aspects of the image and your images will provide tons more value to readers.3. Reserve GIFs for Informal Posts or Niche Audiences
GIFs are funny, lighthearted, and can spice up otherwise boring content.
Infamous writers like Lianna Patch use them all the time in their content:
But GIFs don’t work for every writer, every audience, and every type of content published.
Lianna has a specific style that’s informative yet witty, hilarious, and informal.
It works for her audience and her ability to craft funny yet accurate content.
But not all audiences are going to be receptive to GIFs. And not all posts need them.
When it comes to using GIFs, reserve them for more informal opinion pieces or niche audiences.4. Develop Custom Visuals to Synthesize Information
Struggling to find memorable images for a blog post that aren’t:
Cited from external sources where you might not have legal rights to use it from?
Then custom visuals are your answer.
Developing custom visuals for your content can help you add credibility, synthesize complex concepts, data, numbers, and even drive more backlinks to your site.
As an example, on my company’s site, our blog posts are always complete with custom visuals to help break down complex information, like this writing services results comparison:
This 13,000+ word case study would be nearly impossible to read, digest, or understand without these custom visuals.
Custom visuals like these also provide the benefit of getting easier backlinks to your site.
Look at almost any content marketing piece online and there will be sourced and cited images from top pages.
And almost always these images are branded, unique, custom developed images.
Even if you aren’t writing about unique data that can be developed into charts and tables, you can still produce nice custom images.
For example, I had these images developed for another piece of content on my company website:
Instead of breaking down numbers, it breaks down a concept on types of B2B companies using real-world analogies and an easy to understand visual aid.
These images are cheap and easy to develop on your own or with freelancers and can add tons of value to plain text content.
Need more memorable images for your content pieces? Develop your own custom images!
You can do this on your own if you are familiar with graphic design or use tools like Canva, etc.
Or you can hire freelancers to get the work done on sites like Design Crowd, UpWork, and more.Conclusion
Content without images isn’t inherently bad. But content with images is almost always more enjoyable and even improves social sharing and recall.
So it’s essentially a no-brainer. If you can fit images in naturally, that is.
Avoid stock photos within the body of your content. They are great for featured images, but images in your text for the sake of images can hinder performance.
Do you love GIFs? So do I, but they aren’t appropriate for every audience and post. If you are writing a long-form, formal guide, they probably should be left out.
One surefire way to add memorable images is via tutorials and walkthroughs. These are easy ways to include helpful images that break up your content.
If you feel like going all out, spring for custom visuals that can help your audience synthesize complex topics or data.
Featured Image: chúng tôi taken by author, February 2023
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Want to increase your business’s content production?
If you’ve struggled with finding and retaining reliable writers, the idea of scaling up content production may seem impossible.
Good news: scaling content is very possible.
You just need to know:
What challenges to look for when starting to grow your content creation strategy.
How to solve common content upscaling challenges.
Which services, like Contentfly, can help simplify the process.Step 1: Identify Common Challenges When Upscaling Content Production
In-house content creation has many challenges that hinder content production scaling.
These challenges typically include bandwidth, productivity, and business goals.
If your main limitation is team bandwidth: the best solution is to outsource content creation.
In fact, 50% of organizations choose to outsource their content marketing efforts according to the B2B Content Marketing Benchmarks, Budgets, and Trends: Insights for 2023 by Content Marketing Institute.
The most successful content teams are outsourced or are composed of multiple people, according to that same survey.
Organizations that outsourced their content creators saw positive results with their content marketing efforts across a wide range of metrics and goals.
These include increased website engagement, conversions, and traffic.
86% of organizations who outsource content, according to CMI’s B2B report in 2023, specifically outsourced content creation.
But when it comes to outsourcing content initiatives, many content marketing teams are faced with major problems, such as finding writers.
Don’t worry, we can help.Step 2: Find & Retain Reliable Writers In Your Industry
It’s very easy to find writers.
There are plenty of freelance communities, gig marketplaces, job boards, and individual freelance websites to choose from.
Finding reliable writers is the hard part.
CMI’s B2B report noted that the top challenge 65% of organizations faced when outsourcing content was finding someone with topical expertise.
To make it easier for you, here’s a checklist of what to look for when finding reliable outsourced writers:
Does your freelance job listing specify the industry the writer should be experienced in?
Does your potential writer have portfolios and writing samples?
Are the writing samples specific to your industry?
Does the potential writer have testimonials available for review?
Do you have the bandwidth to review all incoming portfolios and samples?
Once you’ve found the right number of freelance writers for your content needs, be sure to focus on retaining them with consistent work and competitive pay.
Otherwise, you will find yourself constantly searching for new freelancers to fulfill your content production needs.Step 3: Reduce Administrative Time Spent On Content Creation
The next challenge that you may face when outsourcing your content marketing efforts is the amount of time spent in-house managing your outsourced writers.
Let’s say that your organization’s content needs require a pool of seven freelancers to fulfill.
Your next steps are to:
Introduce them to your organization and it’s products or services.
Discuss ideation and new topic briefs.
Follow up on upcoming or missed deadlines.
Discuss payment options and make payments.
For this step, we recommend looking for creative ways to reduce that administrative time and improve your content marketing ROI.
Creating a standardized onboarding routine or introducing an automated system makes a great addition to scaling your content creation journey.Step 4: Get The Content You Want The First Time
Build out a standardized brief-creation strategy to ensure that each writer understands the specific goal of their content.
In addition to communicating with freelancers discussed above, you’ll want to be mindful of the time spent getting your content from the first draft to publishing-ready.
Creating a standardized brief process helps to streamline and speed up the content creation process.How Contentfly Simplifies The Outsourced Content Creation Process
If the steps above seem daunting, Contentfly can help bring outsourced writers online faster.Speed Up The Writer Selection Process With Pre-Vetted Writer Pools
When you sign up with Contentfly, you no longer have to search for individual writers to create your content.
The process for finding new writers is simple:
Submit a content request through the Contentfly dashboard.
Contentfly matches your content request to a writer that fits your industry.
You receive a completed piece of content within a specified time frame based on the length of your content.
By applying specific modern state-of-the-art techniques, stable diffusion models make it possible to generate images and audio. Stable Diffusion works by modifying input data with the guide of text input and generating new creative output data. In this article, we will see how to generate new images from a given input image by employing depth-to-depth model diffusers on the PyTorch backend with a Hugging Face pipeline. We are using Hugging Face since they have made an easy-to-use diffusion pipeline available.
Learn More: Hugging Face Transformers Pipeline FunctionsLearning Objectives
Understand the concept of Stable Diffusion and its application in generating images and audio using modern state-of-the-art techniques.
Gain knowledge of the key components and techniques involved in Stable Diffusion, such as latent diffusion models, denoising autoencoders, variational autoencoders, U-Net blocks, and text encoders.
Explore common applications of diffusion models, including text-to-image, text-to-videos, and text-to-3D conversions.
Learn how to set up the environment for Stable Diffusion, including utilizing GPU and installing necessary libraries and dependencies.
Develop practical skills in applying Stable Diffusion by loading and diffusing images, creating text prompts to guide the output, adjusting diffusion levels, and understanding the limitations and challenges associated with diffusion models.
This article was published as a part of the Data Science Blogathon.What is a Stable Diffusion?
Stable Diffusion models function as latent diffusion models. It learns the latent structure of input by modeling how the data attributes diffuse through the latent space. They belong to the deep generative neural network. It is considered stable because we guide the results using original images, text, etc. On the other hand, an unstable diffusion will be unpredictable.The Concepts of Stable Diffusion
Stable Diffusion uses the Diffusion or latent diffusion model (LDM), a probabilistic model. These models are trained like other deep learning models. Still, the objective here is removing the need for continuous applications of signal processing denoting a kind of noise in the signals in which the probability density function equals the normal distribution. We refer to this as the Gaussian noise applied to the training images. We achieve this through a sequence of denoising autoencoders (DAE). DAEs contribute by changing the reconstruction criterion. This is what alters the continuous application of signal processing. It is initialized to add a noise process to the standard autoencoder.
In a more detailed explanation, Stable Diffusion consists of 3 essential parts: First is the variational autoencoder (VAE) which, in simple terms, is an artificial neural network that performs as probabilistic graphical models. Next is the U-Net block. This convolutional neural network (CNN) was developed for image segmentation. Lastly is the text encoder part. A trained CLIP ViT-L/14 text encoder deals with this. It handles the transformations of the text prompts into an embedding space.
The VAE encoder compresses the image pixel space values into a smaller dimensional latent space to carry out image diffusion. This helps the image not to lose details. It is represented again in pixeled pictures.Common Applications of Diffusion
Let us quickly look at three common areas where diffusion models can be applied:
Text-to-Image: This approach does not use images but a piece of text “prompt” to generate related photos.
Text-to-Videos: Diffusion models are used for generating videos out of text prompts. Current research uses this in media to do interesting feats like creating online ad videos, explaining concepts, and creating short animation videos, song videos, etc.
Text-to-3D: This stable diffusion approach converts input text to 3D images.
Applying diffusers can help generate free images that are plagiarism free. This provides content for your projects, materials, and even marketing brands. Instead of hiring a painter or photographer, you can generate your images. Instead of a voice-over artist, you can create your unique audio. Now let’s look at Image-to-image Generation.
Also Read: Bring Doodles to Life: Meta Open-Sources AI ModelSetting Up Environment
This task requires GPU and a good development environment like processing images and graphics. You are expected to ensure you have GPU available if you want to follow along with this project. We can use Google Colab since it provides a suitable environment and GPU, and you can search for it online. Follow the steps below to engage the available GPU:
Go to the Runtime tab towards the top right.
Then select GPU as a hardware accelerator from the drop-down option.
You can find all the code on GitHub.Importing Dependencies
There are several dependencies in using the pipeline from Huggingface. We will first start by importing them into our project environment.Installing Libraries
Some libraries are not preinstalled in Colab. We need to start by installing them before importing from them.# Installing required libraries %pip install --quiet --upgrade diffusers transformers scipy ftfy # Installing required libraries %pip install --quiet --upgrade accelerate
Let us explain the installations we have done above. Firstly are the diffusers, transformers, scipy, and ftfy. SciPy and ftfy are standard Python libraries we employ for everyday Python tasks. We will explain the new major libraries below.
Diffusers: Diffusers is a library made available by Hugging Face for getting well-trained diffusion models for generating images. We are going to use it for accessing our pipeline and other packages.
Transformers: Transformers contain tools and APIs that help us cut training costs from scratch.# Backend import torch # Internet access import requests # Regular Python library for Image processing from PIL import Image # Hugging face pipeline from diffusers import StableDiffusionDepth2ImgPipeline
StableDiffusionDepth2ImgPipeline is the library that reduces our code. All we need to do is pass an image and a prompt describing our expectations.Instantiating the Pre-trained Diffusers
Next, we just make an instance of the pre-trained diffuser we imported above and assign it to our GPU. Here this is Cuda.# Creating a variable instance of the pipeline pipe = StableDiffusionDepth2ImgPipeline.from_pretrained( "stabilityai/stable-diffusion-2-depth", torch_dtype=torch.float16, ) # Assigning to GPU pipe.to("cuda") Preparing Image Data
Let’s define a function to help us check images from URLs. You can skip this step to try an image you have locally. Mount the drive in Colab.# Accesssing images from the web import urllib.parse as parse import os import requests # Verify URL def check_url(string): try: result = parse.urlparse(string) return all([result.scheme, result.netloc, result.path]) except: return False
We can define another function to use the check_url function for loading an image.# Load an image def load_image(image_path): if check_url(image_path): return Image.open(requests.get(image_path, stream=True).raw) elif os.path.exists(image_path): return Image.open(image_path) Loading Image
Now, we need an image to diffuse into another image. You can use your photo. In this example, we are using an online image for convenience. Feel free to use your URL or images.# Loading an image URL # Displaying the Image img Creating Text Prompts
Now we have a usable image. Let’s now show some diffusion feats on it. To achieve this, we wrap prompts to the pictures. These are sets of texts with keywords describing our expectations from the Diffusion. Instead of generating a random new image, we can use prompts to guide the model’s output.
Note that we set the strength to 0.7. This is an average. Also, note the negative_prompt is set to None. We will look at this more later.# Setting Image prompt prompt = "Some sliced tomatoes mixed" # Assigning to pipeline pipe(prompt=prompt, image=img, negative_prompt=None, strength=0.7).images
Now we can continue with this step on new images. The method remains;
Loading the image to be diffused, and
Creating a text description of the target image.
You can create some examples on your own.Creating Negative Prompts
Another approach is to create a negative prompt to counter the intended output. This makes the pipeline more flexible. We can do this by assigning a negative prompt to the negative_prompt variable.# Loading an image URL # Displaying the Image img # Setting Image prompt prompt = "" n_prompt = "rot, bad, decayed, wrinkled" # Assigning to pipeline pipe(prompt=prompt, image=img, negative_prompt=n_prompt, strength=0.7).images Adjusting Diffusion Level
You may ask about altering how much the new image changes from the first. We can achieve this by changing the strength level. We will observe the effect of different strength levels on the previous image.
At strength = 0.1# Setting Image prompt prompt = "" n_prompt = "rot, bad, decayed, wrinkled" # Assigning to pipeline pipe(prompt=prompt, image=img, negative_prompt=n_prompt, strength=0.1).images
On strength = 0.4# Setting Image prompt prompt = "" n_prompt = "rot, bad, decayed, wrinkled" # Assigning to pipeline pipe(prompt=prompt, image=img, negative_prompt=n_prompt, strength=0.4).images
At strength = 1.0# Setting Image prompt prompt = "" n_prompt = "rot, bad,decayed, wrinkled" # Assigning to pipeline pipe(prompt=prompt, image=img, negative_prompt=n_prompt, strength=1.0).images
The strength variable makes it possible to work on the effect of Diffusion on the new image generated. This makes it more flexible and adjustable.Limitations of Diffusion Models
Before we call it a wrap on Stable Diffusion, one must understand that one can face some limitations and challenges with these pipelines. Every new technology always has some issues at first.
We trained the stable diffusion model on images with 512×512 resolution. The implication is that when we generate new photos and desire dimensions higher than 512×512, the image quality tends to degrade. Although, there is an attempt to solve this problem by updating higher versions of the Stable Diffusion model where we can natively generate images but at 768×768 resolution. Although people attempt to improve things, as long as there is a maximum resolution, the use case will primarily limit printing large banners and flyers.
Training the dataset on the LAION database. It is a non-profit organization that provides datasets, tools, and models for research purposes. This has shown that the model could not identify human limbs and faces richly.
Stable Diffusion on a CPU can run in a feasible time ranging from a few seconds to a few minutes. This removes the need for a high computing environment. It can only be a bit complex when the pipeline is customized. This can demand high RAM and processor, but the available channel takes less complexity.
Lastly is the issue of Legal rights. The practice can easily suffer legal matters as the models require vast images and datasets to learn and perform well. An instance is the January 2023 lawsuits from three artists for copyright infringement against Stability AI, Midjourney, and DeviantArt. Therefore, there can be limitations in freely building these images.Conclusion
In conclusion, while the concept of diffusers is cutting-edge, the Hugging Face pipeline makes it easy to integrate into our projects with an easy and very direct code underside. Using prompts on the images makes it possible to set and bring an imaginary picture to the Diffusion. Additionally, the strength variable is another critical parameter. It helps us with the level of Diffusion. We have seen how to generate new images from images.
By applying state-of-the-art techniques, stable diffusion models generate images and audio.
Typical applications of Diffusion include Text-to-image, Text-to-Videos, and Text-to-3D.
StableDiffusion Depth2ImgPipeline is the library that reduces our code, so we only need to pass an image to describe our expectations.
The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion.Frequently Asked Questions
Q1. What is the Stable Diffusion method?
A. The Stable Diffusion method is a technique used in machine learning for generating realistic and high-quality synthetic images. It leverages diffusion processes to progressively refine noisy images into coherent and visually appealing samples.
Q2. Where can I use Stable Diffusion for free?
A. Stable Diffusion methods, such as Diffusion Models, are available as open-source implementations. They can be accessed and used for free on various platforms, including GitHub and other machine learning libraries.
Q3. What is an example of a Stable Diffusion?
A. An example of a Stable Diffusion technique is the Diffusion Models with denoising priors. This approach involves iteratively updating an initial noisy image by applying a series of transformations, resulting in a smoother and clearer output.
Q4. What is the best Stable Diffusion model?
A. The best Stable Diffusion model choice depends on the specific task and dataset. Different models, such as Deep Diffusion Models or variants like DALL-E, offer different capabilities and performance levels.
AI image generation offers several benefits that make it an attractive option for individuals and businesses alike. Firstly, it eliminates the need for extensive graphic design skills or experience. With AI, anyone can create visually appealing images, regardless of their artistic background.
See More: How To Create Your Own Animated AI Avatar: 3 Easy Steps
Additionally, AI image generation is incredibly time-efficient. Instead of spending hours or even days manually designing an image, AI tools can generate them within minutes. This is particularly beneficial for projects with tight deadlines or when you need multiple images quickly.
Adobe Firefly is a remarkable AI image generation tool that enables you to create beautiful images at no cost. Compared to other tools like Bing Image Creator and Midjourney, which require a subscription or a monthly fee, Adobe Firefly offers a free alternative with excellent results.
To access Adobe Firefly, follow these simple steps:
Visit the Adobe Firefly website.
Choose to either create an account or log in with your Google account.
Once you are logged in, you can start generating AI images effortlessly.
By offering the option to log in with your Google account, Adobe Firefly ensures a hassle-free experience for users.
Now that you have access to Adobe Firefly, let’s explore how to generate your image. On the bottom bar of the tool’s interface, you will find a text box. Simply describe what you want your image to depict. It could be a description of an object, a scene, or an abstract concept.
Also Check: How to Use DALL·E 2 to Create AI Images
You can now save the image to your preferred location on your computer or device. It’s that simple!
In conclusion, Adobe Firefly provides a fantastic opportunity for individuals and businesses to create beautiful AI images without any cost. The benefits of AI image generation, such as its simplicity, cost-effectiveness, and time-efficiency, make it an ideal choice for anyone in need of stunning visuals.
We encourage you to try Adobe Firefly and explore the limitless possibilities it offers. Start creating captivating images that perfectly align with your vision and requirements.
Yes, you can use the AI-generated images created with Adobe Firefly for both personal and commercial purposes. However, it’s always a good practice to review the licensing terms and conditions provided by Adobe to ensure compliance.
Absolutely! Adobe Firefly is designed to be user-friendly and accessible to individuals with no prior design experience. Its intuitive interface and straightforward process make it a great tool for beginners.
Adobe Firefly does not impose any limitations on the number of images you can generate. Feel free to create as many images as you need to bring your ideas to life.
Yes, once you have downloaded the AI-generated image, you can further customize it using image editing software of your choice. This allows you to add personal touches or make specific adjustments according to your requirements.
Yes, Adobe Firefly is an online tool, and therefore, it requires an internet connection for access and functionality. Make sure you have a stable internet connection while using the tool.
By default, Google Chrome is set to display images on the sites you visit in this browser. If you find the browser doesn’t display images for a site, that site may be experiencing problems serving pictures. If your issue persists with other sites, your browser may be the problem.
Table of ContentsUse a Different Browser to Access Your Webpage
When Chrome doesn’t display images on a site, switch to another web browser on your computer and see if you can load the pictures. You may try other browsers like Microsoft Edge, Mozilla Firefox, Vivaldi, or Opera.
If your site images load in other web browsers, the Chrome browser has issues. In this case, read on to discover more fixes.
If your other browsers also fail to load images, the site has a problem. In this case, the site admin will have to enable picture loading or fix issues that prevent images from being served.Allow Sites to Display Images in Google Chrome
Chrome offers an option to let you disable and enable the loading of images in your web browser. If you or someone else has set this option off, you’ll have to turn the option back on to see the photos on your sites.
It’s quick and easy to toggle on this option in Chrome. Here’s how.
Open Chrome, select the three dots at the top-right corner, and select Settings.
Select Privacy and security on the left and Site Settings on the right.
Scroll down the page and choose Images.
Activate the Sites can show images option.
Launch Chrome, select the three dots at the top-right corner, and choose Settings.
Select Privacy and security on the left and Site Settings on the right.
Reopen Chrome, and your issue should be resolved.Use Incognito Mode in Chrome
Chrome’s incognito mode isolates your current browsing session from your other browsing sessions and your past browsing data. It’s worth using this mode to see if your browser data is causing interference with your site images.
Select the three dots at the top-right corner of Chrome and choose New Incognito window.
Open your site in the new window that launches.
If your site images load in the incognito window, Chrome’s browsing history or extensions may be problematic. In this case, follow the following methods to resolve your issue.Turn Off Chrome’s Extensions
Chrome allows you to install extensions so you can get the most out of your favorite web browser. Sometimes, one or more of these extensions become problematic, causing various issues with the browser.
It’s worth disabling your extensions to see if that fixes the image not loading issue. You can toggle off one extension at a time to find the culprit.
Launch your site and see if your photos load. If they do, enable one extension at a time to find the problematic one.
When you find the culprit extension, remove that extension by selecting Remove on Chrome’s Extensions page.Clear Chrome Cache and Browsing Data
Chrome stores cache and other browsing files to speed up and enhance your web browsing experience. When these files go corrupt or become problematic, your browser starts to suffer.
Therefore, it’s worth clearing your browser’s cache and other data to see if that helps fix your image loading problem.
Close and reopen Chrome, and your site pictures should load.Rename Chrome’s Data Folder
One way to fix many issues with Chrome is to rename the browser’s data folder. Chrome stores your browser’s configuration in this folder, and renaming the folder forces Chrome to recreate the configuration.
That helps resolve many issues with Chrome.
Open Chrome, and your browser will reconfigure the options.
If you use a Mac computer, your Chrome data folder is located at the following path:
On Linux, you’ll find Chrome’s data folder here:Update Google Chrome
An obsolete version of any app can cause various issues. If you haven’t updated Chrome in a long time, Chrome’s older version is why your site images aren’t loading.
Chrome receives and installs any browser updates automatically. If that doesn’t happen for some reason, you can run a manual check to find and install the latest updates.
Close and reopen Chrome to bring your updates into effect.Make Chrome Graphical Again
Chrome’s image loading issue isn’t too difficult to fix. The error usually occurs when you’ve misconfigured an option in the browser or your browser data has gone corrupt. Once you’ve fixed these items, your browser will start displaying your site images as usual.
“How much do you charge?”
As an SEO content writer that works primarily with SEO agencies, I am used to getting this question. And no matter my answer, the responses always remind me a bit of the Goldilocks story…
“That price is too cheap.”
“That price is too high.”
“That price is just right.”
It’s typically a toss up – which often makes me question whether we all know the true value of great SEO content, or whether I’m simply charging too much.
To satisfy my curiosity, I decided to propose the question, “How much do you pay for great SEO content?’ to a 40,000+ member SEO Facebook group.
The answers, as I had expected, were all across the board.Mixed Opinions: What Is ‘Great’ SEO Content?
The first thing I noticed is that the responders were in disagreement about what was considered “great” SEO content.
While some highlighted the need for “a fully optimized kick-ass piece of content”, others hailed the simplicity of “spun” content that was then optimized by the SEO people themselves.
Some SEO folks expected the content to be publish-ready while others were OK with content that required editing and optimization.
These mixed opinions spurred a rather heated debate over whether SEO pros were overpaying or underpaying for content.
Some were less forgiving about the idea of, say, a $10 blog post…
But, ultimately, most responders were in agreement that the end product was what matters.
Great SEO content is content that is written with the user in mind and is thoroughly optimized for search engines. Where someone sources that content, however, depends on a few factors.Where to Find Great SEO Content Writers
Many SEO pros get to a point where they realize that, from an ROI perspective, writing SEO content themselves is not the best use of their time.
At that point, they are faced with the decision of whether to outsource content or hire a writer in-house.
When one goes the outsourcing route, it can be difficult to know where to look.
Is Fiverr a good option? Facebook groups? College students? Retirees?
The options are nearly endless.Many Options, Different Prices
Unfortunately, not all writers are created equal.
Many responders complained about the issues of hiring writers from platforms like Fiverr and Upwork, sourcing content from non-English-speaking countries or hiring industry experts who don’t have a writing background.
Some of the top sources listed for finding great SEO writers included:
Niche Facebook groups
College job boards
Referrals (within your network)
Even so, all of these sources post widely different rates depending on the:
Amount of content.
Type of content.
Experience of the writer.
Level of optimization required.
And a variety of other factors.
Some responders mentioned rates as low as $.02 per word and some as high as $2 per word.Does the Market Set the Rate?
So, why the wide range in pricing?
Well, it could be said that the market sets the rate.
As the demand for great SEO content goes up, writers who know their value are inclined to charge more – rates that many agencies and companies are willing to pay.
At the same time, writers with the ability to churn out a high volume of content can create a lucrative business for themselves providing low-cost content to agencies.Quality vs. Quantity – Is It Either/Or?
The variety, therefore, stems from the contrast between quality and quantity.
Some writers are competing on quality, so they charge what agencies are willing to pay. Others are competitive on price, and see the value in turning out more content at a lower rate than their competitors.
While many responders mentioned finding that sweet spot of a low-cost, high-quality writer, some warned that these writers tend not to stay cheap for long.
Once they realize what their competitors are charging (and see how much of an ROI they generate for their clients), they up their prices.The Cost of Great SEO Content – Depends on the Goal
Therefore, many SEO pros came to the conclusion that what they (and others) are willing to pay should come down to the results they are hoping to generate from that content.
They were willing to invest less money on content that served a primary purpose of either attracting links or gaining the attention of search engines because it was more difficult to assign a monetary value to those gains.
Basically, why invest $$$ in content if you don’t intend to make money off of it.Content for a Clear ROI
Therefore, if even 1 conversion through a piece of content was enough to offset the cost of the content, what was worth it in their eyes? $2,000 in sales for a $150 blog post?A no-brainer.
All that being said, some SEO professionals are willing to settle with OK content knowing that they will need to edit and optimize it themselves. If not a huge inconvenience, perhaps this is worth it.
My question is, though:
Is the cost of one’s own labor more or less than how much it would cost to hire a skilled writer to begin with?
No one was able to answer this question.SEO Pros Answer: ‘How Much Do You Pay for SEO Content?’
$100-$125 for 600-750 words.
$40 for 500 words.
$5-$10 per article.
$.10-$.20 per word.
$35 per article.
$.02 per word.
$4 per 100 words.
These were just some of the many responses I received to my question, “How much do you pay for great SEO content?” The answers ranged from $.02 per word to $2 per word.
Unfortunately, there was no clear majority answer to this question.
Some SEO pros insisted that there was no use in paying top dollar for SEO content, while others insisted that a high-quality SEO writer was worth their weight in gold.
Even some writers chimed in to share how much they charge – or how much they think other writers should charge.
Now, one could draw the conclusion that the real answer to this question (like most questions in the SEO space) is, “It depends.”
This may be true, to some extent. But, it’s always helpful to consider the numbers when it comes to making any informed decisions regarding your SEO strategy.How to Budget for SEO Content
When sourcing content for your clients, you need a proper estimate so that you don’t go over budget. Therefore, it’s nearly impossible to rely on a value-based pricing structure. You need to know how much a writer charges right out the gate.
That makes investing in SEO content a bit of a risk, especially if it comes at a high price tag.
You’ll likely charge your own fee on top of that, and you don’t want to waste your client’s money on content that doesn’t generate results.
For these reasons, it’s worth doing your research to see the going rate for different types of SEO content.
In my experience (supported by many responders in the poll), the average rate for “great” SEO content tends to be between $.08-$.20 per word.
However, it’s not uncommon for writers to charge per page or per post – with the main reason being that a piece of content should be as long as it needs to be in order to be effective.Great SEO Content Is an Investment
When I first started out in SEO content writing, I charged $.10 per word. This was because I had experience in the field, knew how much I wanted to be compensated for my time, and knew how much other SEO writers were charging.
I knew that I didn’t want to compete on the basis of price. I wanted my value to be apparent. I wanted to generate tangible results for my clients. I knew that my results needed to justify the cost.
As I built my portfolio, the value that I provided became even more apparent.
“We made it to page 1 for a 90,000 volume keyword”.
“Because of your article, someone reached out to feature us on TV”.Great SEO Writers *Typically* Charge More Do the Results Justify the Costs?
All of this is to say that no matter what you spend on SEO content, you should consider things in terms of ROI. If you envision generating thousands of dollars per lead from a blog post, a $300 investment doesn’t seem so unreasonable.
While it’s possible to find that “sweet spot” – high-quality and cheap – these writers are not the norm.
By opting for cheap content, you often run the risk of getting spun content, content that isn’t written with your target audience in mind, or content that it’s correctly optimized.
At the same time, high-quality writers are likely to charge more because they know how much their value is worth.How to Decide How Much to Invest in SEO Content
With “expensive” writers, there can appear to be higher stakes – but the return could also be far greater than you imagined.
The key, then, is to assess the risk and work with writers that have a good reputation for generating clients a clear ROI.
How much you decided to invest in SEO content should depend primarily on what you want to achieve with your content.
Then, it’s a matter of finding a writer that can generate those results for you, and assessing whether the potential payoff is worth the investment.11 Tips for How to Find Great Writers
Here are some tips for how to find SEO writers that will generate results that justify your investment.
Reach Out to Your Network: I highly recommend reaching out to your existing network to find writers that have a track record of proven results. A referral from someone within your industry is even better, ask what their experience was like working with the writer and what results they were able to generate.
Speak to the Writer Directly: Many businesses order content online without having a direct conversation with the writer – and by “direct” I mean a phone call or video chat. A lot can be lost in translation via email or messenger. As much as you are looking for a writer with the right skills, you want to be sure they are a good character fit. Communication is important
Ask to See Examples: Always ask to see examples of their work – particularly work that relates to your niche. Just note that stealing content examples is common practice online, so you don’t always know what you are getting. If they can send you an example with their name in the byline, that’s a safe bet.
Look for Case Studies and Reviews: Search their site (if they have one) for case studies or reviews. These will make it evident what kind of results they have been able to generate for their clients.
Assess Their SEO Knowledge: You may not expect your writer to be an SEO pro, but if you are looking to source SEO-friendly content, they should at least know the basics. It’s appropriate to ask them a few questions about their expertise or to ask to see example work related to SEO.
Ask How They Measure Success: Many writers will not know how to answer this question, or will answer with something like “more traffic”. Really, success can be measured in a variety of ways and it should depend on what you, the client, wants to achieve. A great SEO writer should be able to communicate this, and hopefully, speak in terms of ROI.
Understand Their Pricing Structure: Not every writer charges per word. In fact, this is becoming less of the norm because aiming for an arbitrary word count often doesn’t do a topic justice. Whether they charge per word, per page, or per project, make sure you thoroughly understand their pricing structure before you invest.
Know What’s Provided in Their Services: Some SEO writers only include the content and the H1 and H2 tags. Others include all on-page SEO. Even further, some provide keyword research or content planning. Ask what their services include and what needs to be provided by you.
Are Edits Included?: You should also know whether edits and/or rewrites are included. Complete rewrites are rare, as writers are essentially writing an entirely new piece without compensation. It’s common for writers to offer one round of edits and/or a refund if they miss the mark.
Know Their Refund Policy: Some writers offer refunds, others do not. Know this from the beginning (and get it in writing) before you find yourself in a pickle.
Set Expectations: Hiring a writer is like any other professional relationship in the sense that there are typically expectations from the beginning. Know what’s expected of you, make sure they know what’s expected of them, and outline a clear process when it comes to creating content together.Final Thoughts
Clearly, there are mixed opinions on what constitutes “great” content, and how much great content costs.
Ultimately, it comes down to how much you are willing to invest in order to achieve the results you want.
I recommend researching your options, outlining clear expectations with your writer from the beginning, and building a relationship of clear communication and mutual benefit.
All screenshots taken by author, June 2023
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