ChatGPT Vs. Bard Vs. Bing: What Are The Differences?

Chatbots are taking the world by storm.

SEO pros, writers, agencies, developers, and even teachers are discussing the changes that this technology will cause in society and how we work in our day-to-day lives.

ChatGPT’s release on November 30, 2022 led to a cascade of competition, including Bard and Bing, although the latter runs on OpenAI’s technology.

If you want to search for information, need help fixing bugs in your CSS, or want to create something as simple as a robots.txt file, chatbots may be able to help.

They’re also wonderful for topic ideation, allowing you to draft more interesting emails, newsletters, blog posts, and more.

But which chatbot should you use and learn to master? Which platform provides accurate, concise information?

Let’s find out.

What Is The Difference Between ChatGPT, Google Bard, And Bing Chat?

	ChatGPT	Bard	Bing
Pricing	ChatGPT’s original version remains free to users. ChatGPT Plus is available for $20/month.	Free for users who joined the waitlist and are accepted.	Free for users who are accepted after joining the waitlist.
API	Yes, but on a waitlist.	N/A	N/A
Developer	OpenAI	Alphabet/Google	OpenAI
Technology	GPT-4	LaMDA	GPT-4
Information Access	Training data with a cutoff date of 2021. The chatbot does state that it has been trained beyond this year, although it won’t include that information.	Real-time access to the data Google collects from search.	Real-time access to Bing’s search data.

Wait! What Is GPT? What Is LaMDA?

ChatGPT uses GPT technology, and Bard uses LaMDA, meaning they’re different “under the hood.” This is why there’s some backlash against Bard. People expect Bard to be GPT, but that’s not the intent of the product.

Also, although Bing has chosen to collaborate with OpenAI, it uses fine-tuning, which allows it to tune responses for the end user.

Since Bing and Bard are both available on such a wide scale, they have to tune the responses to maintain their brand image and adhere to internal policies that aren’t as restrictive in ChatGPT – at the moment.

GPT: Chat Generative Pre-trained Transformer

GPTs are trained on tons of data using a two-phase concept called “unsupervised pre-training and then fine-tuning.” Imagine consuming billions of data points, and then someone comes along after you gain all of this knowledge to fine-tune it. That’s what is happening behind the scenes when you prompt ChatGPT.

ChatGPT had 175 billion parameters that it has used and learned from, including:

Articles.
Books.
Websites.
Etc.

While ChatGPT is limited in its datasets, OpenAI has announced a browser plugin that can use real-time data from websites when responding back to you. There are also other neat plugins that amplify the power of the bot.

LaMDA Stands For Language Model For Dialogue Applications

Google’s team decided to follow a LaMDA model for its neural network because it is a more natural way to respond to questions. The goal of the team was to provide conversational responses to queries.

The platform is trained on conversations and human dialog, but it is also apparent that Google uses search data to provide real-time data.

Google uses an Infiniset of data, which are datasets that we really don’t know much about at this point, as Google has kept this information private.

Since these bots are learning from sources worldwide, they also have a tendency to provide false information.

Hallucinations Can Happen

Chatbots can hallucinate, but they’re also very convincing in their responses. It’s important to heed the warning of the developers.

Google tells us:

Screenshot from Google Bard, April 2023

Bing also tells us:

Screenshot from Bing Chat, April 2023

If you’re using chatbots for anything that requires facts and studies, be sure to crosscheck your work and verify that the facts and events actually happened.

There have been times when these hallucinations are apparent and other times when non-experts would easily be fooled by the response they receive.

Since chatbots learn from information, such as websites, they’re only as accurate as the information they receive – for now.

With all of these cautions in mind, let’s start prompting each bot to see which provides the best answers.

ChatGPT Vs. Bard Vs. Bing: Prompt Testing And Examples

Since technical SEO is an area I am passionate about, I wanted to see what the chatbots have to say when I put the following prompt in each:

What Are The Top 3 Technical SEO Factors I Can Use To Optimize My Site?

ChatGPT’s Response

Screenshot from ChatGPT, April 2023

ChatGPT provides a coherent, well-structured response to this query. The response does touch on three important areas of optimization:

Site speed.
Mobile responsiveness.
Site architecture.

When prompted to provide more information on site speed, we receive a lot of great information that you can use to begin optimizing your site.

Screenshot from ChatGPT, April 2023

If you’ve ever tried to optimize your site’s speed before, you know just how important all of these factors are for improving your site speed.

ChatGPT mentions browser caching, but what about server-side caching?

When site speed is impacted by slow responses for database queries, server-side caching can store these queries and make the site much faster – beyond a browser cache.

Bard’s Response

Bard’s responses are faster than ChatGPT, and I do like that you can view other “drafts” from Bard if you like. I went with the first draft, which you can see below.

Screenshot from Google Bard, April 2023

The information is solid, and I do appreciate that Google uses more formatting and bolds parts of the responses to make them easier to read.

Structured data was a nice addition to the list, and Bard even mentions Schema.org in its response.

To try and keep things similar, I asked Bard, “Can you elaborate on site speed?”

Screenshot from Google Bard, April 2023

You can certainly find similarities between ChatGPT’s and Bard’s responses about optimization, but some information is a bit off. For example:

“A caching plugin stores static files on the user’s computer, which can improve load time.”

Caching plugins, often installed on your content management system (CMS), will store files on your server, a content delivery network (CDN), in memory, and so on.

However, the response from Bard indicates that the plugin will store static files on the user’s computer, which isn’t entirely wrong, but it’s odd.

Browsers will cache files automatically on their own, and you can certainly manipulate the cache with a Cache-Control or Expires header.

However, caching plugins can do so much more to improve site speed. I think Bard misses the mark a bit, as well as ChatGPT.

Bing’s Response

Screenshot from Bing Chat, April 2023

Bing is so hard to like because, for years, it has missed the mark in search. Is Chat any better? As an SEO and content creator, I love the fact that Bing provides sources in its responses.

I think for content creators that have relied on traffic from search for so long, citing sources is important. Also, when I want to verify a claim, these citations provide clarity that ChatGPT and Google Bard cannot.

The answers are similar to Bard and GPT, but let’s see what it produces when we ask for it to elaborate a little more:

Screenshot from Bing Chat, April 2023

Bing elaborated less than ChatGPT and Bard, providing just three points in its response. But can you spot the overlap between this response and the one from ChatGPT?

Bing: You should compress your images and use the correct file format (JPEG for photographs, PNG for graphics).
ChatGPT: You can compress them, reduce their file sizes, and use the correct file format (e.g., JPEG for photos, PNG for graphics).

The responses are going to be very similar for this type of answer, but neither mentioned using a format like WebP. They both seem to be lacking in this regard. Perhaps there’s just more data for optimizing JPEG and PNG files, but will this change?

This is an interesting concept because what if thousands of articles are created to provide the wrong advice, such as eliminating images completely?

Let’s move on to website caching. Bing’s response is a little more in-depth, explaining what caching can help you achieve, such as a lower time to first byte (TTFB).

Winner: Bing. I thought ChatGPT would win this query, but it turns out Bing provides a little more information on caching and wins out in the “technical” arena. Bard and ChatGPT did provide more solutions for improving your site speed.