SEO
11 Disadvantages Of ChatGPT Content
ChatGPT produces content that is comprehensive and plausibly accurate.
But researchers, artists, and professors warn of shortcomings to be aware of which degrade the quality of the content.
In this article, we’ll look at 11 disadvantages of ChatGPT content. Let’s dive in.
1. Phrase Usage Makes It Detectable As Non-Human
Researchers studying how to detect machine-generated content have discovered patterns that make it sound unnatural.
One of these quirks is how AI struggles with idioms.
An idiom is a phrase or saying with a figurative meaning attached to it, for example, “every cloud has a silver lining.”
A lack of idioms within a piece of content can be a signal that the content is machine-generated – and this can be part of a detection algorithm.
This is what the 2022 research paper Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers says about this quirk in machine-generated content:
“Complex phrasal features are based on the frequency of specific words and phrases within the analyzed text that occur more frequently in human text.
…Of these complex phrasal features, idiom features retain the most predictive power in detection of current generative models.”
This inability to use idioms contributes to making ChatGPT output sound and read unnaturally.
2. ChatGPT Lacks Ability For Expression
An artist commented on how the output of ChatGPT mimics what art is, but lacks the actual qualities of artistic expression.
Expression is the act of communicating thoughts or feelings.
ChatGPT output doesn’t contain expressions, only words.
It cannot produce content that touches people emotionally on the same level as a human can – because it has no actual thoughts or feelings.
Musical artist Nick Cave, in an article posted to his Red Hand Files newsletter, commented on a ChatGPT lyric that was sent to him, which was created in the style of Nick Cave.
He wrote:
“What makes a great song great is not its close resemblance to a recognizable work.
…it is the breathless confrontation with one’s vulnerability, one’s perilousness, one’s smallness, pitted against a sense of sudden shocking discovery; it is the redemptive artistic act that stirs the heart of the listener, where the listener recognizes in the inner workings of the song their own blood, their own struggle, their own suffering.”
Cave called the ChatGPT lyrics a mockery.
This is the ChatGPT lyric that resembles a Nick Cave lyric:
“I’ve got the blood of angels, on my hands
I’ve got the fire of hell, in my eyes
I’m the king of the abyss, I’m the ruler of the dark
I’m the one that they fear, in the shadows they hark”
And this is an actual Nick Cave lyric (Brother, My Cup Is Empty):
“Well I’ve been sliding down on rainbows
I’ve been swinging from the stars
Now this wretch in beggar’s clothing
Bangs his cup across the bars
Look, this cup of mine is empty!
Seems I’ve misplaced my desires
Seems I’m sweeping up the ashes
Of all my former fires”
It’s easy to see that the machine-generated lyric resembles the artist’s lyric, but it doesn’t really communicate anything.
Nick Cave’s lyrics tell a story that resonates with the pathos, desire, shame, and willful deception of the person speaking in the song. It expresses thoughts and feelings.
It’s easy to see why Nick Cave calls it a mockery.
3. ChatGPT Does Not Produce Insights
An article published in The Insider quoted an academic who noted that academic essays generated by ChatGPT lack insights about the topic.
ChatGPT summarizes the topic but does not offer a unique insight into the topic.
Humans create through knowledge, but also through their personal experience and subjective perceptions.
Professor Christopher Bartel of Appalachian State University is quoted by The Insider as saying that, while a ChatGPT essay may exhibit high grammar qualities and sophisticated ideas, it still lacked insight.
Bartel said:
“They are really fluffy. There’s no context, there’s no depth or insight.”
Insight is the hallmark of a well-done essay and it’s something that ChatGPT is not particularly good at.
This lack of insight is something to keep in mind when evaluating machine-generated content.
4. ChatGPT Is Too Wordy
A research paper published in January 2023 discovered patterns in ChatGPT content that makes it less suitable for critical applications.
The paper is titled, How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.
The research showed that humans preferred answers from ChatGPT in more than 50% of questions answered related to finance and psychology.
But ChatGPT failed at answering medical questions because humans preferred direct answers – something the AI didn’t provide.
The researchers wrote:
“…ChatGPT performs poorly in terms of helpfulness for the medical domain in both English and Chinese.
The ChatGPT often gives lengthy answers to medical consulting in our collected dataset, while human experts may directly give straightforward answers or suggestions, which may partly explain why volunteers consider human answers to be more helpful in the medical domain.”
ChatGPT tends to cover a topic from different angles, which makes it inappropriate when the best answer is a direct one.
Marketers using ChatGPT must take note of this because site visitors requiring a direct answer will not be satisfied with a verbose webpage.
And good luck ranking an overly wordy page in Google’s featured snippets, where a succinct and clearly expressed answer that can work well in Google Voice may have a better chance to rank than a long-winded answer.
OpenAI, the makers of ChatGPT, acknowledges that giving verbose answers is a known limitation.
The announcement article by OpenAI states:
“The model is often excessively verbose…”
The ChatGPT bias toward providing long-winded answers is something to be mindful of when using ChatGPT output, as you may encounter situations where shorter and more direct answers are better.
5. ChatGPT Content Is Highly Organized With Clear Logic
ChatGPT has a writing style that is not only verbose but also tends to follow a template that gives the content a unique style that isn’t human.
This inhuman quality is revealed in the differences between how humans and machines answer questions.
The movie Blade Runner has a scene featuring a series of questions designed to reveal whether the subject answering the questions is a human or an android.
These questions were a part of a fictional test called the “Voigt-Kampff test“.
One of the questions is:
“You’re watching television. Suddenly you realize there’s a wasp crawling on your arm. What do you do?”
A normal human response would be to say something like they would scream, walk outside and swat it, and so on.
But when I posed this question to ChatGPT, it offered a meticulously organized answer that summarized the question and then offered logical multiple possible outcomes – failing to answer the actual question.
Screenshot Of ChatGPT Answering A Voight-Kampff Test Question
The answer is highly organized and logical, giving it a highly unnatural feel, which is undesirable.
6. ChatGPT Is Overly Detailed And Comprehensive
ChatGPT was trained in a way that rewarded the machine when humans were happy with the answer.
The human raters tended to prefer answers that had more details.
But sometimes, such as in a medical context, a direct answer is better than a comprehensive one.
What that means is that the machine needs to be prompted to be less comprehensive and more direct when those qualities are important.
From OpenAI:
“These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.”
7. ChatGPT Lies (Hallucinates Facts)
The above-cited research paper, How Close is ChatGPT to Human Experts?, noted that ChatGPT has a tendency to lie.
It reports:
“When answering a question that requires professional knowledge from a particular field, ChatGPT may fabricate facts in order to give an answer…
For example, in legal questions, ChatGPT may invent some non-existent legal provisions to answer the question.
…Additionally, when a user poses a question that has no existing answer, ChatGPT may also fabricate facts in order to provide a response.”
The Futurism website documented instances where machine-generated content published on CNET was wrong and full of “dumb errors.”
CNET should have had an idea this could happen, because OpenAI published a warning about incorrect output:
“ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers.”
CNET claims to have submitted the machine-generated articles to human review prior to publication.
A problem with human review is that ChatGPT content is designed to sound persuasively correct, which may fool a reviewer who is not a topic expert.
8. ChatGPT Is Unnatural Because It’s Not Divergent
The research paper, How Close is ChatGPT to Human Experts? also noted that human communication can have indirect meaning, which requires a shift in topic to understand it.
ChatGPT is too literal, which causes the answers to sometimes miss the mark because the AI overlooks the actual topic.
The researchers wrote:
“ChatGPT’s responses are generally strictly focused on the given question, whereas humans’ are divergent and easily shift to other topics.
In terms of the richness of content, humans are more divergent in different aspects, while ChatGPT prefers focusing on the question itself.
Humans can answer the hidden meaning under the question based on their own common sense and knowledge, but the ChatGPT relies on the literal words of the question at hand…”
Humans are better able to diverge from the literal question, which is important for answering “what about” type questions.
For example, if I ask:
“Horses are too big to be a house pet. What about raccoons?”
The above question is not asking if a raccoon is an appropriate pet. The question is about the size of the animal.
ChatGPT focuses on the appropriateness of the raccoon as a pet instead of focusing on the size.
Screenshot of an Overly Literal ChatGPT Answer
9. ChatGPT Contains A Bias Towards Being Neutral
The output of ChatGPT is generally neutral and informative. It’s a bias in the output that can appear helpful but isn’t always.
The research paper we just discussed noted that neutrality is an unwanted quality when it comes to legal, medical, and technical questions.
Humans tend to pick a side when offering these kinds of opinions.
10. ChatGPT Is Biased To Be Formal
ChatGPT output has a bias that prevents it from loosening up and answering with ordinary expressions. Instead, its answers tend to be formal.
Humans, on the other hand, tend to answer questions with a more colloquial style, using everyday language and slang – the opposite of formal.
ChatGPT doesn’t use abbreviations like GOAT or TL;DR.
The answers also lack instances of irony, metaphors, and humor, which can make ChatGPT content overly formal for some content types.
The researchers write:
“…ChatGPT likes to use conjunctions and adverbs to convey a logical flow of thought, such as “In general”, “on the other hand”, “Firstly,…, Secondly,…, Finally” and so on.
11. ChatGPT Is Still In Training
ChatGPT is currently still in the process of training and improving.
OpenAI recommends that all content generated by ChatGPT should be reviewed by a human, listing this as a best practice.
OpenAI suggests keeping humans in the loop:
“Wherever possible, we recommend having a human review outputs before they are used in practice.
This is especially critical in high-stakes domains, and for code generation.
Humans should be aware of the limitations of the system, and have access to any information needed to verify the outputs (for example, if the application summarizes notes, a human should have easy access to the original notes to refer back).”
Unwanted Qualities Of ChatGPT
It’s clear that there are many issues with ChatGPT that make it unfit for unsupervised content generation. It contains biases and fails to create content that feels natural or contains genuine insights.
Further, its inability to feel or author original thoughts makes it a poor choice for generating artistic expressions.
Users should apply detailed prompts in order to generate content that is better than the default content it tends to output.
Lastly, human review of machine-generated content is not always enough, because ChatGPT content is designed to appear correct, even when it’s not.
That means it’s important that human reviewers are subject-matter experts who can discern between correct and incorrect content on a specific topic.
More resources:
Featured image by Shutterstock/fizkes
SEO
The Expert SEO Guide To URL Parameter Handling
In the world of SEO, URL parameters pose a significant problem.
While developers and data analysts may appreciate their utility, these query strings are an SEO headache.
Countless parameter combinations can split a single user intent across thousands of URL variations. This can cause complications for crawling, indexing, visibility and, ultimately, lead to lower traffic.
The issue is we can’t simply wish them away, which means it’s crucial to master how to manage URL parameters in an SEO-friendly way.
To do so, we will explore:
What Are URL Parameters?
URL parameters, also known as query strings or URI variables, are the portion of a URL that follows the ‘?’ symbol. They are comprised of a key and a value pair, separated by an ‘=’ sign. Multiple parameters can be added to a single page when separated by an ‘&’.
The most common use cases for parameters are:
- Tracking – For example ?utm_medium=social, ?sessionid=123 or ?affiliateid=abc
- Reordering – For example ?sort=lowest-price, ?order=highest-rated or ?so=latest
- Filtering – For example ?type=widget, colour=purple or ?price-range=20-50
- Identifying – For example ?product=small-purple-widget, categoryid=124 or itemid=24AU
- Paginating – For example, ?page=2, ?p=2 or viewItems=10-30
- Searching – For example, ?query=users-query, ?q=users-query or ?search=drop-down-option
- Translating – For example, ?lang=fr or ?language=de
SEO Issues With URL Parameters
1. Parameters Create Duplicate Content
Often, URL parameters make no significant change to the content of a page.
A re-ordered version of the page is often not so different from the original. A page URL with tracking tags or a session ID is identical to the original.
For example, the following URLs would all return a collection of widgets.
- Static URL: https://www.example.com/widgets
- Tracking parameter: https://www.example.com/widgets?sessionID=32764
- Reordering parameter: https://www.example.com/widgets?sort=latest
- Identifying parameter: https://www.example.com?category=widgets
- Searching parameter: https://www.example.com/products?search=widget
That’s quite a few URLs for what is effectively the same content – now imagine this over every category on your site. It can really add up.
The challenge is that search engines treat every parameter-based URL as a new page. So, they see multiple variations of the same page, all serving duplicate content and all targeting the same search intent or semantic topic.
While such duplication is unlikely to cause a website to be completely filtered out of the search results, it does lead to keyword cannibalization and could downgrade Google’s view of your overall site quality, as these additional URLs add no real value.
2. Parameters Reduce Crawl Efficacy
Crawling redundant parameter pages distracts Googlebot, reducing your site’s ability to index SEO-relevant pages and increasing server load.
Google sums up this point perfectly.
“Overly complex URLs, especially those containing multiple parameters, can cause a problems for crawlers by creating unnecessarily high numbers of URLs that point to identical or similar content on your site.
As a result, Googlebot may consume much more bandwidth than necessary, or may be unable to completely index all the content on your site.”
3. Parameters Split Page Ranking Signals
If you have multiple permutations of the same page content, links and social shares may be coming in on various versions.
This dilutes your ranking signals. When you confuse a crawler, it becomes unsure which of the competing pages to index for the search query.
4. Parameters Make URLs Less Clickable
Let’s face it: parameter URLs are unsightly. They’re hard to read. They don’t seem as trustworthy. As such, they are slightly less likely to be clicked.
This may impact page performance. Not only because CTR influences rankings, but also because it’s less clickable in AI chatbots, social media, in emails, when copy-pasted into forums, or anywhere else the full URL may be displayed.
While this may only have a fractional impact on a single page’s amplification, every tweet, like, share, email, link, and mention matters for the domain.
Poor URL readability could contribute to a decrease in brand engagement.
Assess The Extent Of Your Parameter Problem
It’s important to know every parameter used on your website. But chances are your developers don’t keep an up-to-date list.
So how do you find all the parameters that need handling? Or understand how search engines crawl and index such pages? Know the value they bring to users?
Follow these five steps:
- Run a crawler: With a tool like Screaming Frog, you can search for “?” in the URL.
- Review your log files: See if Googlebot is crawling parameter-based URLs.
- Look in the Google Search Console page indexing report: In the samples of index and relevant non-indexed exclusions, search for ‘?’ in the URL.
- Search with site: inurl: advanced operators: Know how Google is indexing the parameters you found by putting the key in a site:example.com inurl:key combination query.
- Look in Google Analytics all pages report: Search for “?” to see how each of the parameters you found are used by users. Be sure to check that URL query parameters have not been excluded in the view setting.
Armed with this data, you can now decide how to best handle each of your website’s parameters.
SEO Solutions To Tame URL Parameters
You have six tools in your SEO arsenal to deal with URL parameters on a strategic level.
Limit Parameter-based URLs
A simple review of how and why parameters are generated can provide an SEO quick win.
You will often find ways to reduce the number of parameter URLs and thus minimize the negative SEO impact. There are four common issues to begin your review.
1. Eliminate Unnecessary Parameters
Ask your developer for a list of every website’s parameters and their functions. Chances are, you will discover parameters that no longer perform a valuable function.
For example, users can be better identified by cookies than sessionIDs. Yet the sessionID parameter may still exist on your website as it was used historically.
Or you may discover that a filter in your faceted navigation is rarely applied by your users.
Any parameters caused by technical debt should be eliminated immediately.
2. Prevent Empty Values
URL parameters should be added to a URL only when they have a function. Don’t permit parameter keys to be added if the value is blank.
In the above example, key2 and key3 add no value, both literally and figuratively.
3. Use Keys Only Once
Avoid applying multiple parameters with the same parameter name and a different value.
For multi-select options, it is better to combine the values after a single key.
4. Order URL Parameters
If the same URL parameter is rearranged, the pages are interpreted by search engines as equal.
As such, parameter order doesn’t matter from a duplicate content perspective. But each of those combinations burns crawl budget and split ranking signals.
Avoid these issues by asking your developer to write a script to always place parameters in a consistent order, regardless of how the user selected them.
In my opinion, you should start with any translating parameters, followed by identifying, then pagination, then layering on filtering and reordering or search parameters, and finally tracking.
Pros:
- Ensures more efficient crawling.
- Reduces duplicate content issues.
- Consolidates ranking signals to fewer pages.
- Suitable for all parameter types.
Cons:
- Moderate technical implementation time.
Rel=”Canonical” Link Attribute
The rel=”canonical” link attribute calls out that a page has identical or similar content to another. This encourages search engines to consolidate the ranking signals to the URL specified as canonical.
You can rel=canonical your parameter-based URLs to your SEO-friendly URL for tracking, identifying, or reordering parameters.
But this tactic is not suitable when the parameter page content is not close enough to the canonical, such as pagination, searching, translating, or some filtering parameters.
Pros:
- Relatively easy technical implementation.
- Very likely to safeguard against duplicate content issues.
- Consolidates ranking signals to the canonical URL.
Cons:
- Wastes crawling on parameter pages.
- Not suitable for all parameter types.
- Interpreted by search engines as a strong hint, not a directive.
Meta Robots Noindex Tag
Set a noindex directive for any parameter-based page that doesn’t add SEO value. This tag will prevent search engines from indexing the page.
URLs with a “noindex” tag are also likely to be crawled less frequently and if it’s present for a long time will eventually lead Google to nofollow the page’s links.
Pros:
- Relatively easy technical implementation.
- Very likely to safeguard against duplicate content issues.
- Suitable for all parameter types you do not wish to be indexed.
- Removes existing parameter-based URLs from the index.
Cons:
- Won’t prevent search engines from crawling URLs, but will encourage them to do so less frequently.
- Doesn’t consolidate ranking signals.
- Interpreted by search engines as a strong hint, not a directive.
Robots.txt Disallow
The robots.txt file is what search engines look at first before crawling your site. If they see something is disallowed, they won’t even go there.
You can use this file to block crawler access to every parameter based URL (with Disallow: /*?*) or only to specific query strings you don’t want to be indexed.
Pros:
- Simple technical implementation.
- Allows more efficient crawling.
- Avoids duplicate content issues.
- Suitable for all parameter types you do not wish to be crawled.
Cons:
- Doesn’t consolidate ranking signals.
- Doesn’t remove existing URLs from the index.
Move From Dynamic To Static URLs
Many people think the optimal way to handle URL parameters is to simply avoid them in the first place.
After all, subfolders surpass parameters to help Google understand site structure and static, keyword-based URLs have always been a cornerstone of on-page SEO.
To achieve this, you can use server-side URL rewrites to convert parameters into subfolder URLs.
For example, the URL:
www.example.com/view-product?id=482794
Would become:
www.example.com/widgets/purple
This approach works well for descriptive keyword-based parameters, such as those that identify categories, products, or filters for search engine-relevant attributes. It is also effective for translated content.
But it becomes problematic for non-keyword-relevant elements of faceted navigation, such as an exact price. Having such a filter as a static, indexable URL offers no SEO value.
It’s also an issue for searching parameters, as every user-generated query would create a static page that vies for ranking against the canonical – or worse presents to crawlers low-quality content pages whenever a user has searched for an item you don’t offer.
It’s somewhat odd when applied to pagination (although not uncommon due to WordPress), which would give a URL such as
www.example.com/widgets/purple/page2
Very odd for reordering, which would give a URL such as
www.example.com/widgets/purple/lowest-price
And is often not a viable option for tracking. Google Analytics will not acknowledge a static version of the UTM parameter.
More to the point: Replacing dynamic parameters with static URLs for things like pagination, on-site search box results, or sorting does not address duplicate content, crawl budget, or internal link equity dilution.
Having all the combinations of filters from your faceted navigation as indexable URLs often results in thin content issues. Especially if you offer multi-select filters.
Many SEO pros argue it’s possible to provide the same user experience without impacting the URL. For example, by using POST rather than GET requests to modify the page content. Thus, preserving the user experience and avoiding SEO problems.
But stripping out parameters in this manner would remove the possibility for your audience to bookmark or share a link to that specific page – and is obviously not feasible for tracking parameters and not optimal for pagination.
The crux of the matter is that for many websites, completely avoiding parameters is simply not possible if you want to provide the ideal user experience. Nor would it be best practice SEO.
So we are left with this. For parameters that you don’t want to be indexed in search results (paginating, reordering, tracking, etc) implement them as query strings. For parameters that you do want to be indexed, use static URL paths.
Pros:
- Shifts crawler focus from parameter-based to static URLs which have a higher likelihood to rank.
Cons:
- Significant investment of development time for URL rewrites and 301 redirects.
- Doesn’t prevent duplicate content issues.
- Doesn’t consolidate ranking signals.
- Not suitable for all parameter types.
- May lead to thin content issues.
- Doesn’t always provide a linkable or bookmarkable URL.
Best Practices For URL Parameter Handling For SEO
So which of these six SEO tactics should you implement?
The answer can’t be all of them.
Not only would that create unnecessary complexity, but often, the SEO solutions actively conflict with one another.
For example, if you implement robots.txt disallow, Google would not be able to see any meta noindex tags. You also shouldn’t combine a meta noindex tag with a rel=canonical link attribute.
Google’s John Mueller, Gary Ilyes, and Lizzi Sassman couldn’t even decide on an approach. In a Search Off The Record episode, they discussed the challenges that parameters present for crawling.
They even suggest bringing back a parameter handling tool in Google Search Console. Google, if you are reading this, please do bring it back!
What becomes clear is there isn’t one perfect solution. There are occasions when crawling efficiency is more important than consolidating authority signals.
Ultimately, what’s right for your website will depend on your priorities.
Personally, I take the following plan of attack for SEO-friendly parameter handling:
- Research user intents to understand what parameters should be search engine friendly, static URLs.
- Implement effective pagination handling using a ?page= parameter.
- For all remaining parameter-based URLs, block crawling with a robots.txt disallow and add a noindex tag as backup.
- Double-check that no parameter-based URLs are being submitted in the XML sitemap.
No matter what parameter handling strategy you choose to implement, be sure to document the impact of your efforts on KPIs.
More resources:
Featured Image: BestForBest/Shutterstock
SEO
SEO Experts Gather for a Candid Chat About Search [Podcast]
Wix just celebrated their 100th podcast episode! Congrats, Wix. To quote Mordy Oberstein, Head of SEO Brand at Wix; “we talk a lot.”
You sure do! It’s a good thing you have a lot of interesting stuff to say.
The 100th episode of “SERPs Up” was full of awesome guests. Here’s a summary of the action.
Apart from the usual faces, Oberstein and Crystal Carter, Head Of SEO Communications, it was a powerhouse guestlist:
- Chima Mmeje.
- Darren Shaw.
- Joy Hawkins.
- Eli Schwartz.
- Kevin Indig.
- Barry Schwartz.
Just How Broken Are The SERPs?
The first guest was Chima Mmeje from Moz. She dove into the frustrations that many SEOs have been feeling and spoke plainly about the flaws in Google’s updates.
Mordy Oberstein: “Is the SERP broken?”
Chima Mmeje: “The helpful content update, and I’m saying this here, live, is a farce. There was nothing helpful about that update. … Yes, the SERP is 1,000% broken. … How does anybody even use Google in the U.S.? … I don’t think they are going to release any update that will fix these issues.”
Mordy Oberstein: “There’s no update. … Plopping Reddit all over the SERP was because they saw the content trends … and they said ‘we don’t have any so we’re just going to throw Reddit there’.”
Chima Mmeje: “It was lazy to have Reddit there … Nobody uses their real names. Anybody can go on Reddit and answer questions and then you see these answers populating in People Also Ask, populating in featured snippets, populating all over the SERPs as correct information. It is dangerous, at worst.”
Crystal Carter: “Do you think that one of the reasons why we’ve seen so much upheaval and so much so volatility in the SERPs, which I certainly agree with in the last year … is lots and lots of variables, like lots of new features coming in, so the alignment with Reddit, the AI overviews, the SGE … Do you think it is just too many things being thrown in at the same time and it messing up lots of SERPs as a result? Or do you think it’s something else?”
Chima Mmeje: ” … releasing too many features that they did not test properly. Features that were rushed SGE [testing] did not even last a year and now they brought in Google AI Overviews. I still don’t understand why we have AI Overviews and featured snippets on the same SERP. I feel like it’s like pick one, make a choice.”
Mordy Oberstein’s next question was about what we can do. “As an SEO, how are you supposed to do this? I’ve heard things from people … Yeah, I don’t know what to do. I can’t produce the kind of results that I’ve always wanted to. Can you still be effective as an SEO in an environment like this?”
Chima Mmeje: “I’m going to be honest, we are suffering … It feels like we are trying our best with what we are seeing … because there is no clear guidance. And to be honest, a lot of us are playing a guessing game right now and that is the best that we can do. It’s all a guessing game based on what we’ve seen one or two variables work. And this is not a long-term strategy. If we’re going to be realistic, it’s not going to work in the long-term. I honestly, I don’t know what the answer is … you’re fighting against Reddit. How do you compete against Reddit? Nobody has figured that out yet.”
Crystal Carter: “Thanks for saying it out loud, Chima.” Crystal was reflecting the sentiment of the commenters, who appreciated her candor and willingness to say: we don’t know, but we’re trying our best.
Mordy Oberstein: “The most honest take I’ve heard on that in quite a long time.”
Mmeje also recounted examples of small website owners and small businesses that have had to shut down. She also talked about the pervasive feeling in the SEO community that there is no rhyme or reason to how the algorithms handle websites and content.
What’s Going On In Local SEO?
The next guests were Darren Shaw from Whitespark and Joy Hawkins, owner of Sterling Sky for a segment called “It’s New.” They talked about new developments in local SEO.
Hawkins talked about a new feature in Google Business Profile.
Joy Hawkins: “… There’s a little services section inside the Google business profile dashboard that’s easy to miss, but you can add anything you want in there. … We’ve done a lot of testing on it and they do impact ranking, but I should clarify, it’s like a small impact. So usually we see it for longer-tailed queries that maybe don’t match a category or things that are not super competitive. … So it is a small ranking factor, but still one that is worth filling out.”
Darren Shaw: “ .. this is the question that a lot of people ask. We know that if you go into the services section of your Google business profile, Google will suggest predefined services … And so Joy’s original research was focused on those predefined ones and it definitely identified that when you do put those on your profile, you now rank better for those terms depending on how competitive they’re, as Joy had mentioned. … There is a place where you can add your own custom services. Have you done any testing around that? Will you rank better with the custom services?”
Joy Hawkins: “Yes. They both work. In custom services … I’m trying to remember the keyword that Colin tested it on. It was something super niche like vampire facials. I was Googling, what the hell is that? … Really, really niche … But he just wanted to know if there was any impact whatsoever and there was. [Custom services fields are a] good way to go after longer tail keywords that don’t have crazy high search volume or aren’t super competitive.”
Darren Shaw: “You want to make sure that you’re telling Google what you do … that’s basically what the services section provides. And it’s not a huge ranking factor, but it’s just another step in the local optimization process. … a tip for custom services because custom services often get pulled into the local results as justifications. It’ll say this business provides vampire facials, right? Well, did you know there’s a vampire emoji? So if you put the vampire emoji in the title … Then in the local results you’ll see a whole panel of businesses that all provide that service, but yours has that little vampire emoji which will draw people in.”
There was tons more in this section, including questions from the audiences and some great jokes.
The Obligatory AI Section.
Eli Schwartz And Kevin indig were next up to talk about AI. Oberstein, professional rabble rouser, tried to get them to argue, but despite their very different posting habits, they found a lot to agree on about AI.
Mordy Oberstein: “It wouldn’t be an SEO podcast if we didn’t talk about AI. Where do we currently stand with AI? What can it do? What can’t it do?”
Kevin Indig: “… We’re at a stage where AI basically has the capability to create content, analyze some basic data. It still hallucinates here and there and it still makes mistakes. … If you compare that to when this AI hype started in November, 2022, so it’s almost two years now and we’ve come a really long way, these models are getting exponentially better. … It means different things based on whether you look at it as a tool for yourself to make your work more efficient. And of course, what does it mean from an SEO perspective? How does it change search, not just Google, but also how people search. And I think these are all different questions that are exciting to dive into. … So there is a lot of objective data that indicates efficiencies and benefits from AI. There’s also a lot of hype that promises a little too much about what AI can do. And so I’m generally AI bullish, but I’m not in the camp of AI is going to replace us all the next two years.”
Mordy Oberstein: “I’m setting the stage here a little bit because while your LinkedIn pros are generally like pro ai, a lot of Eli’s posts are a little more skeptical about AI. So Eli, what do you think about what Kevin just said? By the way, I’m like, for those who are listening or watching this, I’m pitting them against each other. They’re friends and they do a podcast together. So it’s cool.”
Eli Schwartz: I think AI is great. I think that there’s a lot of great things you can get out of AI. You can, again, like Kevin said, it can be your thought partner. … I’m anti AI in the way people are using it. And I don’t think people have necessarily changed their behaviors because before … they outsource [content] on Fiverr and Upwork and they bought very cheap content and now they’re getting very free content. So then that’s coming from AI. That behavior hasn’t really changed. The challenge is that now there are more people that think they can copy them.
So I talk to CMOs all the time who are like, well, I just go of my SEO team. A big company reached out to me recently. They wanted to gut check themselves after they already fired their SEO team. So I can’t really help there, but they’re like, AI can do everything. … Well, I’ll see them in a year from now when they have whatever sort of penalty. AI is a very powerful tool. Any tool we have a drill is a very powerful tool. But if you just hold it in the air and just let it go, it’s going to make holes. But if you use it appropriately, it does the thing it’s supposed to do. … We’re humans and we buy stuff and it has to come to a point where humans are talking to humans.
Crystal Carter: “… Most of the gains are coming from productivity. The stuff like Kevin was talking about with being able to write product descriptions more quickly, being able to write lots of posts more quickly and being able to finish your things more quickly, brainstorm, et cetera, in terms of the quality, the quality is still not there. It’s getting there rapidly, but it’s still not there.”
There was lots more AI talk, so you should listen to the whole episode if you want to hear the full range of opinions.
Snappy News About The Google August Update
“The Snappy News” segment featured Barry Schwartz, Contributing Editor to Search Engine Land. It also featured the dreaded SEO phrase “it depends.”
Mordy Oberstein: So the article of the day is from Search Engine Land, basically written by Barry that the core update, the August 2024 core update is done. It is complete. … The issue with Google folks who are trying to figure out, will they see a reversal of their fortunes from the 2023 helpful content update, the September, 2023 helpful content update. It’s a mouthful, to be honest with you. And my question for you, since you’re here, did that happen? Was the August updated reversal?
Barry Schwartz: “It depends on the site. I think the number, I don’t have the exact data, obviously I don’t think anybody does, but I’ve seen examples of some very few sites see complete reversals. … There are a number of sites that saw maybe a 20% bump, a 30% bump, maybe a 5% bump. But very few sites saw a complete reversal, if you want to even call it that. … I’ve been through a lot of Google updates over the years, and it’s sometimes sad to see the stories, but at the same time, if you keep at it and you are true to the content, your audience, generally, you’ll do well in the long run. Not every site, there’s plenty of sites that have been hit, went out of business, and they couldn’t come back. That’s business in general. And things change, like seasonalities and times change. You’re writing about the railroad business a hundred years ago and you keep writing about it today. There’s not many people investing a lot of money in railroads these days. So I dunno, it’s, it’s hard to read those stories, but not everybody deserves to go back to where they were. And then at the same time, Google’s not perfect either, which is why they keep on releasing new updates.”
That’s a wrap!
If you haven’t experienced a SERPs Up episode before, you should absolutely take a listen to experience the full effect of Mordy and Crystal’s banter.
The SERP’s Up podcast is brought to you by Wix Studio.
SEO
OpenAI Claims New “o1” Model Can Reason Like A Human
OpenAI has unveiled its latest language model, “o1,” touting advancements in complex reasoning capabilities.
In an announcement, the company claimed its new o1 model can match human performance on math, programming, and scientific knowledge tests.
However, the true impact remains speculative.
Extraordinary Claims
According to OpenAI, o1 can score in the 89th percentile on competitive programming challenges hosted by Codeforces.
The company insists its model can perform at a level that would place it among the top 500 students nationally on the elite American Invitational Mathematics Examination (AIME).
Further, OpenAI states that o1 exceeds the average performance of human subject matter experts holding PhD credentials on a combined physics, chemistry, and biology benchmark exam.
These are extraordinary claims, and it’s important to remain skeptical until we see open scrutiny and real-world testing.
Reinforcement Learning
The purported breakthrough is o1’s reinforcement learning process, designed to teach the model to break down complex problems using an approach called the “chain of thought.”
By simulating human-like step-by-step logic, correcting mistakes, and adjusting strategies before outputting a final answer, OpenAI contends that o1 has developed superior reasoning skills compared to standard language models.
Implications
It’s unclear how o1’s claimed reasoning could enhance understanding of queries—or generation of responses—across math, coding, science, and other technical topics.
From an SEO perspective, anything that improves content interpretation and the ability to answer queries directly could be impactful. However, it’s wise to be cautious until we see objective third-party testing.
OpenAI must move beyond benchmark browbeating and provide objective, reproducible evidence to support its claims. Adding o1’s capabilities to ChatGPT in planned real-world pilots should help showcase realistic use cases.
Featured Image: JarTee/Shutterstock
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