Can AI Content Be Useful to SaaS Content Marketing?
Can AI Content Be Useful to SaaS Content Marketing?
Can AI Content Be Useful to SaaS Content Marketing?
Can AI Content Be Useful to SaaS Content Marketing?
Can AI Content Be Useful to SaaS Content Marketing?
Summarize with AI
Summarize with AI
Summarize with AI
Table of Contents
Jul 21, 2025
2 min read
TL;DR
The other day I was scrolling LinkedIn and saw the same thing over and over again. Start-up SaaS founders promoting their AI-enabled content pipeline, marketers flexing the ChatGPT process, and tools like Jasper and Copy.ai are silently cementing their place on B2B content teams. And what’s the promise? Faster, cheaper, and more scalable content. But what I'm seeing is questionable.
Is AI content an actual asset or a ticking liability?
I still remember when I first used an AI tool to draft a SaaS blog post.
It was late one night, a deadline was looming, and I thought what the hell, I will let the machine write the first draft.
In 30 seconds, it had written 800 words.
Yes 800 words; and it was structured, clean but lifeless, just weirdly garden variety advice.
I ended up rewriting 70 percent.
Then I asked myself:
I still remember when I first used an AI tool to draft a SaaS blog post.
It was late one night, a deadline was looming, and I thought what the hell, I will let the machine write the first draft.
In 30 seconds, it had written 800 words.
Yes 800 words; and it was structured, clean but lifeless, just weirdly garden variety advice.
I ended up rewriting 70 percent.
Then I asked myself:
I still remember when I first used an AI tool to draft a SaaS blog post.
It was late one night, a deadline was looming, and I thought what the hell, I will let the machine write the first draft.
In 30 seconds, it had written 800 words.
Yes 800 words; and it was structured, clean but lifeless, just weirdly garden variety advice.
I ended up rewriting 70 percent.
Then I asked myself:
Is AI content a scalable asset or is it a potential long-term liability in brand storytelling?
While AI can scale content production, it does not scale that very important nuance that provides connection through the buyer's journey. And when every brand can generate content using the same AI tools, finding value in the sameness becomes difficult as it becomes the norm.
While AI can scale content production, it does not scale that very important nuance that provides connection through the buyer's journey. And when every brand can generate content using the same AI tools, finding value in the sameness becomes difficult as it becomes the norm.
While AI can scale content production, it does not scale that very important nuance that provides connection through the buyer's journey. And when every brand can generate content using the same AI tools, finding value in the sameness becomes difficult as it becomes the norm.
What AI Is Getting Right in SaaS Content Marketing?
Now let’s switch gears, and cover where AI does really deliver for SaaS teams.
If you’re using these tools already or are just contemplating, let’s see what AI gets right:
Volume & Speed
AI engines like Jasper or ChatGPT can create first drafts faster than you can say draft, turning the blank page into a full outline or blog draft within seconds.
While AI can mass produce content, most companies tend to continue hiring copywriters to edit that content, but they're just renting out brainpower.
That kind of speed gives you a significant advantage in volume, and only needs some thoughtful editing to be valuable.
SEO Tips
AI tools are great for analyzing search intent and keyword trends.
AI can scroll through thousands of online documents to absorb the information, and then suggest keywords to target or structure your material in order to improve search rankings.
In practical terms, that makes it easier for marketers to create SEO-shaped drafts faster, without starting from scratch.
Language Polish and Clarity
One of AI's most predictable benefits is polished language and clarity.
AI works as a real-time editor to clean up syntax and tone in your text so your draft is cleaner from the start.
AI is credited for being concise like tightening phrasing, correcting grammar to make the content flow more naturally.
Cost Effective for Early-Stage Start-ups
AI services are mostly at a predictable monthly subscription cost, which is more affordable than hiring writers particularly for early-stage SaaS.
Human writers cost hundreds per article while AI tools offer "tens of thousands words of text” for around $100.
That translates into an amazing ROI for when cash is tight and output matters.
Now let’s switch gears, and cover where AI does really deliver for SaaS teams.
If you’re using these tools already or are just contemplating, let’s see what AI gets right:
Volume & Speed
AI engines like Jasper or ChatGPT can create first drafts faster than you can say draft, turning the blank page into a full outline or blog draft within seconds.
While AI can mass produce content, most companies tend to continue hiring copywriters to edit that content, but they're just renting out brainpower.
That kind of speed gives you a significant advantage in volume, and only needs some thoughtful editing to be valuable.
SEO Tips
AI tools are great for analyzing search intent and keyword trends.
AI can scroll through thousands of online documents to absorb the information, and then suggest keywords to target or structure your material in order to improve search rankings.
In practical terms, that makes it easier for marketers to create SEO-shaped drafts faster, without starting from scratch.
Language Polish and Clarity
One of AI's most predictable benefits is polished language and clarity.
AI works as a real-time editor to clean up syntax and tone in your text so your draft is cleaner from the start.
AI is credited for being concise like tightening phrasing, correcting grammar to make the content flow more naturally.
Cost Effective for Early-Stage Start-ups
AI services are mostly at a predictable monthly subscription cost, which is more affordable than hiring writers particularly for early-stage SaaS.
Human writers cost hundreds per article while AI tools offer "tens of thousands words of text” for around $100.
That translates into an amazing ROI for when cash is tight and output matters.
Now let’s switch gears, and cover where AI does really deliver for SaaS teams.
If you’re using these tools already or are just contemplating, let’s see what AI gets right:
Volume & Speed
AI engines like Jasper or ChatGPT can create first drafts faster than you can say draft, turning the blank page into a full outline or blog draft within seconds.
While AI can mass produce content, most companies tend to continue hiring copywriters to edit that content, but they're just renting out brainpower.
That kind of speed gives you a significant advantage in volume, and only needs some thoughtful editing to be valuable.
SEO Tips
AI tools are great for analyzing search intent and keyword trends.
AI can scroll through thousands of online documents to absorb the information, and then suggest keywords to target or structure your material in order to improve search rankings.
In practical terms, that makes it easier for marketers to create SEO-shaped drafts faster, without starting from scratch.
Language Polish and Clarity
One of AI's most predictable benefits is polished language and clarity.
AI works as a real-time editor to clean up syntax and tone in your text so your draft is cleaner from the start.
AI is credited for being concise like tightening phrasing, correcting grammar to make the content flow more naturally.
Cost Effective for Early-Stage Start-ups
AI services are mostly at a predictable monthly subscription cost, which is more affordable than hiring writers particularly for early-stage SaaS.
Human writers cost hundreds per article while AI tools offer "tens of thousands words of text” for around $100.
That translates into an amazing ROI for when cash is tight and output matters.
Where Does AI Still Fall Short?
Let's pause for a second.
Have you ever read a blog and thought, Okay, but this could have been written by absolutely anyone or anything?
That is exactly what many SaaS marketers are now facing as AI tools scale content creation.
We can all admit that quantity is impressive in education, however, a lot of times, the human layer is entirely missing.
Here is where AI falls short, and why that matters:
Lacking Context and Superior SaaS Insight
AI may recognize the keywords, but it's not aware of your user's actual pains and day-to-day problems.
AI does not have the context of your particular audience, product, or space. It can make intelligent guesses, but guesses nonetheless.
The absurdity of this is especially prominent in niche B2B SaaS categories where we require deep domain knowledge along with empathy towards our users.
AI cannot replicate the first-person knowledge of your sales or product team.
Generic with a One-Size-Fits-All Tone
You've probably read several SaaS blogs that start with "In today's fast-paced digital world....". You aren't alone.
AI tools often rely on conventional phrases and standard, safe structures, contributing to dull, repetitive storytelling.
Want to know what that lack of voice means?
It basically means you missed the opportunity to add your brand's personality.
Weak Experience Driven Thought Leadership
Want a founder's POV, a customer story, or a hard truth piece from a product marketer?
AI may be able to replicate the tone, but not the thinking.
AI can’t replicate creative, emotional, and personal experience which is often what forms the necessary foundation for content that matters. Your best-performing SaaS content likely came from experience not auto-generated advice.
The Hallucination Problem
One of the tendencies of AI is to make things up, particularly when it wants to be confident.
AI-produced content can sometimes include facts that are incorrect or citations that do not exist. This is called hallucinations.
For SaaS brands, this is more than a nuisance, it's a liability.
The Empathy Gap
This one is subtle, but it is critical.
AI does not feel.
It can emulate a concern or emotion, but it does not know what it's like to be debugging a production issue at 3:00 a.m., or trying to hit ARR goals in a tough quarter.
The emotional disconnect limits the deep resonance it can have with your readers.
AI helps fill the pipeline, but storytelling still needs a human soul.
Exactly! There are no automation options that can replace the lived experience of your product team, your users or your market.
Let's pause for a second.
Have you ever read a blog and thought, Okay, but this could have been written by absolutely anyone or anything?
That is exactly what many SaaS marketers are now facing as AI tools scale content creation.
We can all admit that quantity is impressive in education, however, a lot of times, the human layer is entirely missing.
Here is where AI falls short, and why that matters:
Lacking Context and Superior SaaS Insight
AI may recognize the keywords, but it's not aware of your user's actual pains and day-to-day problems.
AI does not have the context of your particular audience, product, or space. It can make intelligent guesses, but guesses nonetheless.
The absurdity of this is especially prominent in niche B2B SaaS categories where we require deep domain knowledge along with empathy towards our users.
AI cannot replicate the first-person knowledge of your sales or product team.
Generic with a One-Size-Fits-All Tone
You've probably read several SaaS blogs that start with "In today's fast-paced digital world....". You aren't alone.
AI tools often rely on conventional phrases and standard, safe structures, contributing to dull, repetitive storytelling.
Want to know what that lack of voice means?
It basically means you missed the opportunity to add your brand's personality.
Weak Experience Driven Thought Leadership
Want a founder's POV, a customer story, or a hard truth piece from a product marketer?
AI may be able to replicate the tone, but not the thinking.
AI can’t replicate creative, emotional, and personal experience which is often what forms the necessary foundation for content that matters. Your best-performing SaaS content likely came from experience not auto-generated advice.
The Hallucination Problem
One of the tendencies of AI is to make things up, particularly when it wants to be confident.
AI-produced content can sometimes include facts that are incorrect or citations that do not exist. This is called hallucinations.
For SaaS brands, this is more than a nuisance, it's a liability.
The Empathy Gap
This one is subtle, but it is critical.
AI does not feel.
It can emulate a concern or emotion, but it does not know what it's like to be debugging a production issue at 3:00 a.m., or trying to hit ARR goals in a tough quarter.
The emotional disconnect limits the deep resonance it can have with your readers.
AI helps fill the pipeline, but storytelling still needs a human soul.
Exactly! There are no automation options that can replace the lived experience of your product team, your users or your market.
Let's pause for a second.
Have you ever read a blog and thought, Okay, but this could have been written by absolutely anyone or anything?
That is exactly what many SaaS marketers are now facing as AI tools scale content creation.
We can all admit that quantity is impressive in education, however, a lot of times, the human layer is entirely missing.
Here is where AI falls short, and why that matters:
Lacking Context and Superior SaaS Insight
AI may recognize the keywords, but it's not aware of your user's actual pains and day-to-day problems.
AI does not have the context of your particular audience, product, or space. It can make intelligent guesses, but guesses nonetheless.
The absurdity of this is especially prominent in niche B2B SaaS categories where we require deep domain knowledge along with empathy towards our users.
AI cannot replicate the first-person knowledge of your sales or product team.
Generic with a One-Size-Fits-All Tone
You've probably read several SaaS blogs that start with "In today's fast-paced digital world....". You aren't alone.
AI tools often rely on conventional phrases and standard, safe structures, contributing to dull, repetitive storytelling.
Want to know what that lack of voice means?
It basically means you missed the opportunity to add your brand's personality.
Weak Experience Driven Thought Leadership
Want a founder's POV, a customer story, or a hard truth piece from a product marketer?
AI may be able to replicate the tone, but not the thinking.
AI can’t replicate creative, emotional, and personal experience which is often what forms the necessary foundation for content that matters. Your best-performing SaaS content likely came from experience not auto-generated advice.
The Hallucination Problem
One of the tendencies of AI is to make things up, particularly when it wants to be confident.
AI-produced content can sometimes include facts that are incorrect or citations that do not exist. This is called hallucinations.
For SaaS brands, this is more than a nuisance, it's a liability.
The Empathy Gap
This one is subtle, but it is critical.
AI does not feel.
It can emulate a concern or emotion, but it does not know what it's like to be debugging a production issue at 3:00 a.m., or trying to hit ARR goals in a tough quarter.
The emotional disconnect limits the deep resonance it can have with your readers.
AI helps fill the pipeline, but storytelling still needs a human soul.
Exactly! There are no automation options that can replace the lived experience of your product team, your users or your market.
AI Writer vs SME Writer in SaaS Content Marketing
To get a sense of how AI writers compare with human subject matter experts (SMEs) in SaaS content marketing, here’s a straightforward comparison:
Criteria | AI Writer | SME Writer |
Speed | Extremely fast in seconds. | Slower, due to research, and experience reflection. |
Nuance & Insights | Lacks context and often misses niche pain points. | Rich, specific insights drawn from lived SaaS experience. |
Cost | Low upfront cost; subscription-based. | Higher due to human expertise and hourly/project rates. |
Accuracy | Prone to hallucinations and misinformation. Needs human review. | High accuracy, especially for industry-specific or technical content. |
Brand Voice Control | Often generic; requires heavy prompt tuning. | Strong brand consistency if the SME understands tone and audience. |
To get a sense of how AI writers compare with human subject matter experts (SMEs) in SaaS content marketing, here’s a straightforward comparison:
Criteria | AI Writer | SME Writer |
Speed | Extremely fast in seconds. | Slower, due to research, and experience reflection. |
Nuance & Insights | Lacks context and often misses niche pain points. | Rich, specific insights drawn from lived SaaS experience. |
Cost | Low upfront cost; subscription-based. | Higher due to human expertise and hourly/project rates. |
Accuracy | Prone to hallucinations and misinformation. Needs human review. | High accuracy, especially for industry-specific or technical content. |
Brand Voice Control | Often generic; requires heavy prompt tuning. | Strong brand consistency if the SME understands tone and audience. |
To get a sense of how AI writers compare with human subject matter experts (SMEs) in SaaS content marketing, here’s a straightforward comparison:
Criteria | AI Writer | SME Writer |
Speed | Extremely fast in seconds. | Slower, due to research, and experience reflection. |
Nuance & Insights | Lacks context and often misses niche pain points. | Rich, specific insights drawn from lived SaaS experience. |
Cost | Low upfront cost; subscription-based. | Higher due to human expertise and hourly/project rates. |
Accuracy | Prone to hallucinations and misinformation. Needs human review. | High accuracy, especially for industry-specific or technical content. |
Brand Voice Control | Often generic; requires heavy prompt tuning. | Strong brand consistency if the SME understands tone and audience. |
The Emergence of the Hybrid Workflow
Now this gets fun.
A growing number of SaaS marketers are leveraging hybrid workflows, where marketers can leverage the power of AI with the power of human writers.
This looks like:
Subject Matter Experts leveraging AI to quickly write first drafts or rework older blogs.
Content strategist arranging AI prompts with structured guidance and then refining with human creativity.
AI doing the SEO outlines and the Subject Matter Experts adding product stories, market context, and real-life stories.
Now this gets fun.
A growing number of SaaS marketers are leveraging hybrid workflows, where marketers can leverage the power of AI with the power of human writers.
This looks like:
Subject Matter Experts leveraging AI to quickly write first drafts or rework older blogs.
Content strategist arranging AI prompts with structured guidance and then refining with human creativity.
AI doing the SEO outlines and the Subject Matter Experts adding product stories, market context, and real-life stories.
Now this gets fun.
A growing number of SaaS marketers are leveraging hybrid workflows, where marketers can leverage the power of AI with the power of human writers.
This looks like:
Subject Matter Experts leveraging AI to quickly write first drafts or rework older blogs.
Content strategist arranging AI prompts with structured guidance and then refining with human creativity.
AI doing the SEO outlines and the Subject Matter Experts adding product stories, market context, and real-life stories.
Let’s Play a Game: Can You Tell Which Intro Is AI?
Game Analysis:
Which introduction feels more human-like and which introduction sounds more like a tool?
Check out the rhythm: The real one flows, while the AI introduction is somewhat choppy and uses somewhat of a check-list structure filled with abstractions.
Insight density: Human version has specifics such as story, product, customers, while AI version has generalities.
For Example 1, the introduction states: “I'm working with sales and marketing teams on using AI. Here is the 3 stages I'm observing.”
That kind of phrasing is generic, missing a personal voice and the flow feels choppy. This is an example of Echo Content Syndrome which is content that looks polished but echoes thousands of similar posts.
While Example 2, “I’ve done a few of these posts myself; the last one I did:
→ Added 2,300 new followers in 3 days…”
This text sets a strong POV, lists clear bullets, and feels personal.
So if you had a gut feeling in which one was written by a real person — trust it.
The more grounded, specific, and personal it feels to how it connects with you, the more likely it is to resonate.
Game Analysis:
Which introduction feels more human-like and which introduction sounds more like a tool?
Check out the rhythm: The real one flows, while the AI introduction is somewhat choppy and uses somewhat of a check-list structure filled with abstractions.
Insight density: Human version has specifics such as story, product, customers, while AI version has generalities.
For Example 1, the introduction states: “I'm working with sales and marketing teams on using AI. Here is the 3 stages I'm observing.”
That kind of phrasing is generic, missing a personal voice and the flow feels choppy. This is an example of Echo Content Syndrome which is content that looks polished but echoes thousands of similar posts.
While Example 2, “I’ve done a few of these posts myself; the last one I did:
→ Added 2,300 new followers in 3 days…”
This text sets a strong POV, lists clear bullets, and feels personal.
So if you had a gut feeling in which one was written by a real person — trust it.
The more grounded, specific, and personal it feels to how it connects with you, the more likely it is to resonate.
Game Analysis:
Which introduction feels more human-like and which introduction sounds more like a tool?
Check out the rhythm: The real one flows, while the AI introduction is somewhat choppy and uses somewhat of a check-list structure filled with abstractions.
Insight density: Human version has specifics such as story, product, customers, while AI version has generalities.
For Example 1, the introduction states: “I'm working with sales and marketing teams on using AI. Here is the 3 stages I'm observing.”
That kind of phrasing is generic, missing a personal voice and the flow feels choppy. This is an example of Echo Content Syndrome which is content that looks polished but echoes thousands of similar posts.
While Example 2, “I’ve done a few of these posts myself; the last one I did:
→ Added 2,300 new followers in 3 days…”
This text sets a strong POV, lists clear bullets, and feels personal.
So if you had a gut feeling in which one was written by a real person — trust it.
The more grounded, specific, and personal it feels to how it connects with you, the more likely it is to resonate.
Why LinkedIn Feels AI-Generated Now
Statements such as "Here's what nobody tells you..." and "In today's fast-paced digital world..." fall under the umbrella of basic AI-intros.
LinkedIn post-1:
And the post above uses the general AI template, lacking insider stories or unique brand voice.
Checking for AI content on the linkedin post shows 100% AI content which reduces engagement.
LinkedIn post-2:
The above post uses structured bullets and a personal brand story.
Checking for AI content on the LinkedIn post shows 0% AI content which increases engagement due to the personal brand touch.
That’s the difference right there.
AI, while it can help shape your thinking, it's the human voice, context and experience that will pull people in on LinkedIn.
Statements such as "Here's what nobody tells you..." and "In today's fast-paced digital world..." fall under the umbrella of basic AI-intros.
LinkedIn post-1:
And the post above uses the general AI template, lacking insider stories or unique brand voice.
Checking for AI content on the linkedin post shows 100% AI content which reduces engagement.
LinkedIn post-2:
The above post uses structured bullets and a personal brand story.
Checking for AI content on the LinkedIn post shows 0% AI content which increases engagement due to the personal brand touch.
That’s the difference right there.
AI, while it can help shape your thinking, it's the human voice, context and experience that will pull people in on LinkedIn.
Statements such as "Here's what nobody tells you..." and "In today's fast-paced digital world..." fall under the umbrella of basic AI-intros.
LinkedIn post-1:
And the post above uses the general AI template, lacking insider stories or unique brand voice.
Checking for AI content on the linkedin post shows 100% AI content which reduces engagement.
LinkedIn post-2:
The above post uses structured bullets and a personal brand story.
Checking for AI content on the LinkedIn post shows 0% AI content which increases engagement due to the personal brand touch.
That’s the difference right there.
AI, while it can help shape your thinking, it's the human voice, context and experience that will pull people in on LinkedIn.
Risks of Over-Reliance: What SaaS Brands Must Avoid
AI content can really help but is there such a thing as too much?
That is where things get dicey.
If you are over-relying on AI to scale content without human guardrails, your SaaS brand could be heading into some familiar and costly pitfalls:
Brand Tone Ruin Across Channels
AI doesn’t really understand your voice unless you consistently train it.
Without endless training: blog posts, landing pages, and social content risk being out of tone as in sounding completely disconnected from your brand.
Omniscent explains:
Consistently maintaining the same brand tone and voice when using AI is difficult, especially when using different formats or platforms.
Your audience will also pick up when the tone is inconsistent.
It is important for SaaS brands to maintain brand tone to cultivate trust and credibility with their audiences.
Weak Thought Leadership
Real thought leadership is original, informs us through their lived experience, and is willing to take risks.
AI is inherently conservative and generative.
It generates content by rewording other content that already exists on the internet.
And AI can’t replace lived experiences or create opinionated perspectives informed by product experience.
If you feel like your blog is a remix of everything else published in your category, you are not leading; you are repeating.
Less Differentiation in Clogged Markets
When all SaaS companies are utilizing the same tools, prompts, and SEO techniques, you’re going to get the same result, which has a direct impact on differentiation in a clogged market.
Content generated by AI generically will blend into or get lost in the wider digital noise if it isn’t tailored.
This is particularly challenging for new SaaS brands trying to build their reputation.
SEO Penalties for Low-Value or Duplicate Content
Content that is unoriginal, auto-generated, or adds little or no value is less likely to perform well.
Be wary of content that is mostly intended for search engines versus for people.
If you are creating AI-generated page after AI-generated page with minimal edits, don't be surprised if your ranking falls over time!
Additional risks to be aware of
Outdated content: AI writers are also trained on static data. It may not be current in terms of product updates and shifts in the industry.
Over dependence can reduce learning: As your team relies more on AI for content generation, they stop building their writing, messaging and other skills.
Division of legal and compliance problems: AI, without human direction, relies on phrasing that would violate your compliance standards especially if you are working in a regulated SaaS market.
AI content can really help but is there such a thing as too much?
That is where things get dicey.
If you are over-relying on AI to scale content without human guardrails, your SaaS brand could be heading into some familiar and costly pitfalls:
Brand Tone Ruin Across Channels
AI doesn’t really understand your voice unless you consistently train it.
Without endless training: blog posts, landing pages, and social content risk being out of tone as in sounding completely disconnected from your brand.
Omniscent explains:
Consistently maintaining the same brand tone and voice when using AI is difficult, especially when using different formats or platforms.
Your audience will also pick up when the tone is inconsistent.
It is important for SaaS brands to maintain brand tone to cultivate trust and credibility with their audiences.
Weak Thought Leadership
Real thought leadership is original, informs us through their lived experience, and is willing to take risks.
AI is inherently conservative and generative.
It generates content by rewording other content that already exists on the internet.
And AI can’t replace lived experiences or create opinionated perspectives informed by product experience.
If you feel like your blog is a remix of everything else published in your category, you are not leading; you are repeating.
Less Differentiation in Clogged Markets
When all SaaS companies are utilizing the same tools, prompts, and SEO techniques, you’re going to get the same result, which has a direct impact on differentiation in a clogged market.
Content generated by AI generically will blend into or get lost in the wider digital noise if it isn’t tailored.
This is particularly challenging for new SaaS brands trying to build their reputation.
SEO Penalties for Low-Value or Duplicate Content
Content that is unoriginal, auto-generated, or adds little or no value is less likely to perform well.
Be wary of content that is mostly intended for search engines versus for people.
If you are creating AI-generated page after AI-generated page with minimal edits, don't be surprised if your ranking falls over time!
Additional risks to be aware of
Outdated content: AI writers are also trained on static data. It may not be current in terms of product updates and shifts in the industry.
Over dependence can reduce learning: As your team relies more on AI for content generation, they stop building their writing, messaging and other skills.
Division of legal and compliance problems: AI, without human direction, relies on phrasing that would violate your compliance standards especially if you are working in a regulated SaaS market.
AI content can really help but is there such a thing as too much?
That is where things get dicey.
If you are over-relying on AI to scale content without human guardrails, your SaaS brand could be heading into some familiar and costly pitfalls:
Brand Tone Ruin Across Channels
AI doesn’t really understand your voice unless you consistently train it.
Without endless training: blog posts, landing pages, and social content risk being out of tone as in sounding completely disconnected from your brand.
Omniscent explains:
Consistently maintaining the same brand tone and voice when using AI is difficult, especially when using different formats or platforms.
Your audience will also pick up when the tone is inconsistent.
It is important for SaaS brands to maintain brand tone to cultivate trust and credibility with their audiences.
Weak Thought Leadership
Real thought leadership is original, informs us through their lived experience, and is willing to take risks.
AI is inherently conservative and generative.
It generates content by rewording other content that already exists on the internet.
And AI can’t replace lived experiences or create opinionated perspectives informed by product experience.
If you feel like your blog is a remix of everything else published in your category, you are not leading; you are repeating.
Less Differentiation in Clogged Markets
When all SaaS companies are utilizing the same tools, prompts, and SEO techniques, you’re going to get the same result, which has a direct impact on differentiation in a clogged market.
Content generated by AI generically will blend into or get lost in the wider digital noise if it isn’t tailored.
This is particularly challenging for new SaaS brands trying to build their reputation.
SEO Penalties for Low-Value or Duplicate Content
Content that is unoriginal, auto-generated, or adds little or no value is less likely to perform well.
Be wary of content that is mostly intended for search engines versus for people.
If you are creating AI-generated page after AI-generated page with minimal edits, don't be surprised if your ranking falls over time!
Additional risks to be aware of
Outdated content: AI writers are also trained on static data. It may not be current in terms of product updates and shifts in the industry.
Over dependence can reduce learning: As your team relies more on AI for content generation, they stop building their writing, messaging and other skills.
Division of legal and compliance problems: AI, without human direction, relies on phrasing that would violate your compliance standards especially if you are working in a regulated SaaS market.
Atqia Bilkis
Atqia Bilkis
Atqia Bilkis
SEO Content Specialist
SEO Content Specialist
I spend my days turning complex ideas into snackable content, where even casual scrollers stick around like it’s storytime. And yes, sometimes my creative thinking breaks suspiciously resemble naps don’t tell my mates.
I spend my days turning complex ideas into snackable content, where even casual scrollers stick around like it’s storytime. And yes, sometimes my creative thinking breaks suspiciously resemble naps don’t tell my mates.
I spend my days turning complex ideas into snackable content, where even casual scrollers stick around like it’s storytime. And yes, sometimes my creative thinking breaks suspiciously resemble naps don’t tell my mates.
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