I Compared the SEO Structure of 6 Shopify AI Blogging Apps Using Real Published Articles

Instead of comparing feature lists, I looked at the actual SEO structure of blog posts being published by Shopify stores using autoBlogger, Bloggle, Essential AI SEO, Auto Blogs Agent, Jolt and AI Blog Agent.
There are plenty of Shopify apps that promise to generate SEO blog content.
But an app saying it creates “SEO-optimised articles” does not necessarily tell you much about the final page.
What I wanted to know was:
What does the actual SEO output look like once the article is published on a Shopify store?
So I looked at real published articles associated with six Shopify blogging apps and compared things such as:
- Semantic H2/H3 structure
- Article depth and word count
- Search-intent coverage
- Table of contents
- Key takeaways and summaries
- Internal and product linking
- FAQ sections
- Tables and lists
- Author and trust signals
- Source attribution
- Images
- Structured, extractable answers
- How easily an LLM or AI search engine could understand the page
I build autoBlogger, so I obviously have an interest in the result.
That is also why I wanted to make the comparison transparent and link directly to every article used.
How I selected the articles
Shopify blog posts generally do not include public metadata identifying which app created them.
So for the competing apps I used a simple assumption:
If a merchant publicly reviewed a Shopify blogging app and was publishing blog posts around the same period, it is reasonable to assume they were using the blogging functionality they were reviewing.
In several cases, the merchant review explicitly says the app was writing or publishing their blog posts.
That still isn’t absolute proof of authorship.
The autoBlogger article is different because I can directly confirm that it was created with autoBlogger.
For the other apps, I treat the selected pages as likely examples based on merchant review and publication timing.
If any provider included here believes the selected article was not created or assisted by their app, they are welcome to contact me with a confirmed public example and I will update the comparison.
The SEO results at a glance
I used two scores.
SEO score looks at traditional on-page SEO, including semantic headings, search intent, depth, internal links, structured content, trust signals and general article architecture.
LLM-readiness score looks at how easily an AI search or answer system can understand and extract useful information from the page.
These are my own comparison scores, not Google scores or scores from a third-party SEO platform.
1. autoBlogger — Diament Expert
Approx. word count: ~2,300
SEO score: 92/100
LLM-readiness: 95/100
2. Bloggle — Street to Stable
Approx. word count: ~1,520
SEO score: 72/100
LLM-readiness: 66/100
3. Essential AI SEO — Propeller Depot
Approx. word count: ~2,010
SEO score: 69/100
LLM-readiness: 65/100
4. Auto Blogs Agent — Lifestyle Hobbies
Approx. word count: ~800
SEO score: 64/100
LLM-readiness: 61/100
5. Jolt — Powerful Health USA
Approx. word count: ~600
SEO score: 50/100
LLM-readiness: 50/100
6. AI Blog Agent — Jackson’s Cool Stuff
Approx. word count: ~360
SEO score: 41/100
LLM-readiness: 44/100
The biggest difference was not simply article length.
It was how much SEO structure existed around the words.
1. autoBlogger
Diament Expert — The Art of Craftsmanship in Fine Diamond Jewelry
Approx. word count: ~2,300
SEO score: 92/100
LLM-readiness: 95/100
This is the article I can directly confirm was generated through autoBlogger.
From an SEO perspective, the main difference is the amount of structure surrounding the article.
The page includes:
- One clear H1
- Proper semantic H2 and H3 sections
- A table of contents
- An article overview
- Key takeaways
- Lists
- A comparison table
- Step-by-step sections
- FAQs
- A glossary
- Multiple images
- Internal context
- A named expert author
That gives search engines a very clear hierarchy.
Instead of seeing one long article body, a crawler can understand that the page contains separate sections about diamond quality, craftsmanship techniques, technology, certification, selecting a jeweller and other related subtopics.
The H2/H3 structure is particularly important.
A visually large line of text is not necessarily a heading. Proper HTML heading elements explicitly describe the relationship between sections.
That helps accessibility, traditional crawling and increasingly AI systems trying to break a long page into meaningful chunks.
The table of contents
The table of contents creates another useful layer.
It helps readers navigate a long article, but it also makes the topical architecture of the page very explicit.
An AI system can quickly identify the main areas covered without having to infer the structure from several thousand words.
Key takeaways
The key-takeaway section is another strong SEO and LLM feature.
It gives the article an answer-first element before the detailed content begins.
For AI search especially, concise standalone statements are useful because they are easier to extract and associate with specific questions.
FAQs
The FAQ section expands the number of queries the page can naturally answer.
It also makes likely follow-up questions explicit rather than hoping search engines infer them from paragraphs elsewhere in the article.
Glossary
The glossary is particularly useful for entity understanding.
Important diamond-related terminology is explicitly defined.
That helps establish the relationship between terms and makes the article easier for an LLM to interpret without relying entirely on contextual inference.
Author information
The article also contains a named expert author with relevant experience.
That does not magically improve rankings, but it adds useful provenance and trust context to the page.
The main weakness I found was external sourcing. Some factual sections could still benefit from more direct references.
That is why I scored it 92 rather than 100 for SEO.
2. Bloggle
Street to Stable — The Voice of Agriculture Within Quiet Luxury
Approx. word count: ~1,520
SEO score: 72/100
LLM-readiness: 66/100
Bloggle is slightly different because it is primarily a Shopify blogging builder and editor rather than simply an AI article generator.
So I would not claim Bloggle itself necessarily wrote this article.
From an SEO perspective, this page does several things well.
It has:
- Strong topical relevance
- Good article depth
- Named authorship
- External sources
- Relevant entities and brands
- Useful imagery
- Distinctive original commentary
The sourcing is particularly good compared with most of the other examples.
That gives both search engines and AI systems clearer provenance for the factual claims being made.
Where it loses points is article architecture.
The heading structure is comparatively inconsistent and the page is written more like an editorial essay than a search-oriented resource.
There is no substantial:
- Table of contents
- FAQ
- Glossary
- Key-takeaway section
- Structured comparison
- Answer-first summary
That does not make it poor content.
It simply means the page gives search engines fewer explicit structural clues than the autoBlogger example.
For brand authority, this approach can work extremely well.
For question-based SEO and AI extraction, I would prefer more semantic structure.
3. Essential AI SEO
Propeller Depot — How to Read Propeller Sizing: Pitch, Diameter, Cup & More
Approx. word count: ~2,010
SEO score: 69/100
LLM-readiness: 65/100
At first glance, this looks like one of the strongest SEO articles in the group.
It is roughly 2,000 words long and covers a broad range of related subtopics.
But when I inspected the actual structure, I found an important issue.
A lot of text looks like headings visually, but much of it is not implemented as semantic H2/H3 headings in the page HTML.
That matters because there is a difference between:
Text that looks like a heading
and
An actual <h2> or <h3> element telling search engines that a new section has started.
For a 2,000-word article, that is a significant SEO opportunity being missed.
The page has plenty of relevant content, but the underlying hierarchy is much flatter than it appears to a human reader.
Internal linking is good
One area where the article performs well is internal linking.
It naturally directs readers towards Propeller Depot’s own guides and tools.
That is exactly what good ecommerce content should do.
The article is not isolated from the commercial site. It helps create a route from informational search traffic into deeper product research.
Depth is good, structure is weaker
This page is a good example of why I don’t think AI blogging tools should be judged purely on word count.
At roughly 2,010 words, it is almost as long as the autoBlogger article.
But the autoBlogger article exposes substantially more semantic structure to crawlers and AI systems.
That difference is why Essential AI SEO ended up at 69/100 for SEO despite producing a fairly substantial article.
4. Auto Blogs Agent
Lifestyle Hobbies — Still Racing on a Static Rig? Here’s What You’re Missing
Approx. word count: ~800
SEO score: 64/100
LLM-readiness: 61/100
This is a much more straightforward SEO article.
The page has proper H2 sections, which is a positive.
It is also clearly aligned with the store’s products and niche.
That gives it a useful combination of informational intent and commercial relevance.
From an ecommerce SEO perspective, that is good.
However, it is still quite a lightweight article.
There is no substantial:
- Table of contents
- FAQ
- Glossary
- Structured summary
- Comparison table
- Evidence/source layer
- Deep topical coverage
The H2 structure is better than Essential AI SEO’s example, but there is simply less content underneath those headings.
That gives it a reasonable foundation but limits the range of long-tail queries and related questions the page can potentially satisfy.
I scored it 64/100 for SEO.
5. Jolt
Powerful Health USA — Stress and Anxiety Relief: Exploring the Benefits of Magnesium Glycinate
Approx. word count: ~600
SEO score: 50/100
LLM-readiness: 50/100
The Jolt example uses proper headings, which gives it a reasonable basic structure.
But the article is only around 600 words.
From an SEO perspective, that leaves relatively little room to build topical depth.
There is also very little:
- Internal linking
- Supporting source material
- Structured data within the article
- FAQ coverage
- Long-tail question coverage
- Entity definition
- Additional topical context
Because the page covers a health-related subject, the lack of visible research citations is also more important than it would be for a less sensitive ecommerce topic.
The article refers to research and studies, but there is little visible evidence connecting those statements to primary sources.
So while the page has reasonable basic HTML structure, the overall SEO resource is quite thin.
6. AI Blog Agent
Jackson’s Cool Stuff — Master the Future of Wearable Technology in a Few Simple Steps
Approx. word count: ~360
SEO score: 41/100
LLM-readiness: 44/100
This is easily the lightest SEO page in the comparison.
The article does use headings, so the basic hierarchy is there.
But at approximately 360 words, there simply isn’t enough content to create substantial topical coverage.
There is very little:
- Semantic depth
- Long-tail coverage
- Supporting evidence
- Internal context
- FAQ content
- Structured answers
- Topical subheadings
- Related entity coverage
This becomes particularly noticeable because the target topic, wearable technology, is extremely broad.
A broad query generally gives you plenty of opportunities to create supporting sections and related keyword coverage.
Instead, the page remains extremely short.
From an SEO perspective, this gives search engines comparatively little information to associate with the URL.
That is why I scored it 41/100.
What mattered most for SEO
After looking through all six pages, four things stood out.
1. Semantic headings matter
One of the clearest differences was between headings that merely looked like headings and actual H2/H3 HTML elements.
This is easy to overlook when visually reviewing an article.
A page can look beautifully structured while exposing a much flatter document structure underneath.
I think automated blogging tools should be generating proper semantic HTML by default.
2. Article length only helps when the structure supports it
The Essential AI SEO article proves this nicely.
At around 2,010 words, it has plenty of content.
But without the same level of semantic organisation, some of that value is harder for crawlers and AI systems to interpret.
The autoBlogger article is only modestly longer, but divides the information across substantially more meaningful structures.
3. SEO articles should create multiple entry points
A good long-form article should not rely on a single broad keyword.
It should naturally answer related questions and subtopics.
That is where things such as:
- H2 sections
- H3 sections
- FAQs
- Tables
- Definitions
- Lists
- Key takeaways
become useful.
Each creates another clearly defined piece of information on the same page.
4. LLM optimisation overlaps heavily with good SEO
I don’t think “LLM SEO” requires completely reinventing content.
A lot of the things that make pages useful to AI systems are simply good web publishing:
- Clear headings
- Direct answers
- Named entities
- Definitions
- Sources
- Tables
- FAQs
- Author information
- Logical hierarchy
- Useful internal links
The difference is that these things become even more important when software is trying to extract an answer rather than simply rank ten blue links.
Why autoBlogger scored highest
The autoBlogger article was not simply the longest article.
It scored highest because it combined more SEO elements on the same page:
- Proper H2/H3 structure
- Table of contents
- Overview
- Key takeaways
- Lists
- Multiple images
- Internal context
- Comparison table
- FAQ
- Glossary
- Named author
- Long-form topical coverage
This is also why I don’t really think of autoBlogger as just an “AI writer” anymore.
Writing the paragraphs is only one stage.
The bigger goal is to automate the entire Shopify blogging and SEO workflow around those paragraphs.
That means researching the topic, structuring the article, editing it in multiple passes, adding internal and product links, creating imagery, checking SEO elements and then publishing the final page.
So which had the strongest SEO output?
In this particular real-world sample, autoBlogger produced the strongest overall SEO structure.
It scored:
SEO: 92/100
LLM-readiness: 95/100
Bloggle’s example had particularly strong sourcing and editorial authority, although Bloggle is not directly comparable as an AI writer.
Essential AI SEO produced plenty of content but was held back by surprisingly weak semantic heading structure.
Auto Blogs Agent had better basic headings but significantly less depth.
Jolt and AI Blog Agent produced much thinner pages in the examples I found.
This obviously does not prove that every article generated by autoBlogger will outperform every article generated by another platform.
It is a comparison of six real published examples.
But I think inspecting the actual SEO output is a lot more informative than comparing feature lists that all say roughly the same thing.
A note for the app developers
If you build one of the products included here and believe the article I selected isn’t representative of your app, feel free to contact me.
If you can provide a publicly accessible Shopify article that you can confirm was generated using your product, I am happy to replace the example and score it using exactly the same criteria.
I’d rather compare the strongest genuine examples than accidentally make another app look worse because I selected the wrong page.
You can see autoBlogger here:
View autoBlogger on the Shopify App Store
References
autoBlogger
Article: Diament Expert — The Art of Craftsmanship in Fine Diamond Jewelry
I can directly confirm this article was generated using autoBlogger.
Bloggle
Article: Street to Stable — The Voice of Agriculture Within Quiet Luxury
Merchant review: Street to Stable’s Bloggle review
Reviewer: Street to Stable®
Review date: 19 February 2026
Essential AI SEO
Article: Propeller Depot — How to Read Propeller Sizing: Pitch, Diameter, Cup & More
Merchant review: Propeller Depot’s Essential AI SEO review
Reviewer: Propeller Depot
Review date: 28 June 2026
Auto Blogs Agent
Article: Lifestyle Hobbies — Still Racing on a Static Rig? Here’s What You’re Missing
Merchant review: Lifestyle Hobbies’ Auto Blogs Agent review
Reviewer: Lifestyle Hobbies
Review date: 15 April 2026
The merchant specifically says the app writes articles, generates images and publishes blog entries.
Jolt
Article: Powerful Health USA — Stress and Anxiety Relief: Exploring the Benefits of Magnesium Glycinate
Merchant review: Powerful Health USA’s Jolt review
Reviewer: Powerful Health USA
Review date: 23 April 2025
AI Blog Agent
Article: Jackson’s Cool Stuff — Master the Future of Wearable Technology in a Few Simple Steps
Merchant review: Jackson’s Cool Stuff AI Blog Agent review
Reviewer: Jackson’s Cool Stuff
Review date: 26 August 2026
The merchant specifically says the app was creating blogs with little to no input.
Labels: ohermans1

