Ocula Boost vs ChatGPT: Which AI tool is better for eCommerce?
ChatGPT is a game-changer in daily life – brilliant for everything from summarising texts to brainstorming in a hurry. But if you’re an ambitious eCommerce team looking for a specialist product content generation solution, you may find that ChatGPT falls short in its capabilities.
Although ChatGPT is a great starting point for building product descriptions, it can take hours of manual refining and editing to bring that copy up to standard across the board.
But what alternative product content tools are out there?
In this guide, we’ll compare ChatGPT with Ocula Boost, an AI tool specifically designed to deliver measurable eCommerce results. Boost’s features include generating and optimising your on-page copy – including product descriptions, alt text, titles and specifications – as well as providing actionable competitor comparisons, baked-in SEO, and wider analysis.
We’ll consider how ChatGPT and Boost measure up against each other in terms of quality, scalability, configurability, and overall time saved.
By the end of this guide, you’ll be empowered to make an informed decision about which AI tool is better for your eCommerce team.
How to leverage AI to supercharge eCommerce Product Content: Ocula Boost vs ChatGPT
These days, ChatGPT seems to be everywhere: it suggests last-minute recipes, creates first drafts in seconds, and even helps your kids with their homework. It’s an AI jack-of-all-trades.
But world-class Product Detail Pages aren’t one-size-fits-all.
Whilst ChatGPT is a generic AI that’s great at tidying up initial ideas, it isn’t trained or designed for eCommerce optimisation at scale.
To maximise the value you get from an AI product content tool, you could consider:
The tool’s configurability – its content should match your brand’s formatting, tone of voice, and other important guidelines
How much you trust the reliability and quality of the generated content
How the tool performs at scale
Whether it automates SEO and keyword optimisation, including analysis of high performing competitors
The amount of time invested – including set-up and integration, plus manual revision of any AI-generated material
We’ll use these five indicators to compare the respective value that ChatGPT and Boost can offer your eCommerce team.
If you’re already familiar with ChatGPT and want to learn more about Boost via a call, you can book a free, no-commitment demo here. For an in-depth comparative breakdown, read on!
What is Ocula Boost?
Ocula Boost is the best-in-class AI tool we’ll be comparing to ChatGPT in this guide.
Boost is a content scoring and generation platform that optimises product detail and category pages to drive traffic uplift. Unlike ChatGPT, Boost was created specifically for eCommerce and travel retailers. This means it’s been trained on millions of eCommerce PDPs, and is capable of highly tailored, bespoke copy that drives conversions.
When you log into Boost, the first thing you’ll see is this dashboard:
At a glance, you see scores for your site’s content, accessibility, and technical performance.
These scores are calculated based on the number of errors and opportunities the Boost AI detects across your site’s Product Detail Pages.
You can also view how your PDPs rank compared to your competitors’ – and why.
Scrolling down the page, you can filter your PDPs by category. You’re able to input different guardrails and guidelines for each of these categories, so that Boost produces custom content for each specific set of requirements.
Clicking through to the Beauty category, Boost compares your content score to the score of your highest ranking competitor. In the above screengrab, the example company scores highest on title and specs, but significantly lower than its competitor in terms of description quality.
The amber opportunity score reveals that there are 2,713 areas where the Beauty category’s content could be optimised for better conversion or discoverability.
Let’s use Boost to take these opportunities on board.
Clicking through to a specific PDP, we can see that The Ordinary Azelaic Acid Suspension has an overall content score of 40, with 2 errors and 18 opportunities.
Boost’s AI content generator optimises the product’s title by increasing the number of keywords and overall word count. This more than doubles the potential search volume of the PDP from 14,112 up to 36,387.
Alongside the title, Boost also generates SEO-optimised copy for your description, specs, and any alt text.
So, how does Boost compare with ChatGPT?
To recap, we’re considering the two tools in terms of their configurability, quality, scalability, SEO capabilities, and the overall time you’ll save.
Configurability: ChatGPT vs Boost
ChatGPT: Whilst ChatGPT is first and foremost a generic AI chatbot, it can still be configured to meet specific eCommerce brand requirements – to a limited extent. The more rules or PDPs that ChatGPT is asked to generate, the less consistent it becomes.
Generating eCommerce content with ChatGPT generally requires significant time investment from a human content editor, who manually alters each description to ensure accuracy. At scale, this process becomes a huge time-sink.
It’s also common for ChatGPT to “hallucinate” – that is, produce false or misleading information – if a user tries to stack too many requirements in one prompt.
Boost: Boost automatically ensures all tone-of-voice, brand guidelines, keyword and formatting requirements are reliably adhered to – nothing is too complex. Its configurability makes it ideal for teams managing diverse product ranges.
Whilst giving ChatGPT too many requirements can lead to hallucinations, Boost’s proprietary chain-of-thought approach ensures that client requirements are atomised and fed into Boost step-by-step. This ensures that Boost reliably meets complex and varied copy requirements, with no additional time invested by the user – and no unexpected additions or inaccuracies. Every piece of copy produced by Boost is unique.
ChatGPT does not take this methodical approach, and so struggles to handle multiple rules or requirements.
Winner: Boost
Reliability and quality: ChatGPT vs Boost
ChatGPT: Whilst ChatGPT is brilliant as a brainstorming tool, it isn’t built to produce world-class PDPs without significant human input. An eCommerce content specialist must manually edit and polish ChatGPT’s copy.
As well as this, ChatGPT sometimes introduces inaccuracies into product descriptions, or ignores important aspects of brand identity. This is especially true if it’s asked to stick to several rules at once, with different rules for multiple complex categories. Its data may also be out-of-date.
The more PDPs ChatGPT generates, the more it tends towards repetition.
Boost: Boost’s copy generation has been fine-tuned on millions of eCommerce PDPs. Boost takes a highly robust, two-part approach to Quality Assessment, with both AI and computational-based quality checks. Its generation is rooted in up-to-date, real-time data you know you can trust.
At the same time, rest assured: Boost never automatically pushes any content live without permission. So if you’d prefer to check over its generated content with a human eye, you can.
Winner: Boost
Scalability: ChatGPT vs Boost
ChatGPT: Designed for single tasks, ChatGPT is not intended to be used at scale. ECommerce teams utilising ChatGPT must generate content one-by-one.
Boost: Boost excels at scale, generating and optimising thousands of PDPs in real-time. With seamless API-integration into your PIM system, outputs are automatically formatted to match your specifications.
Winner: Boost
SEO: ChatGPT vs Boost
ChatGPT: ChatGPT can provide general keyword suggestions, but lacks the deep SEO integrations required for comprehensive keyword research. It is capable of using data from publicly available sources – like your site or your competitors’ – to generate a downloadable CSV with keywords organised by category. However, it does not have a rigorous keyword selection process, and explicitly recommends utilising external tools like SEMrush for a more accurate result.
Boost: Boost automatically runs keyword research for all PDPs – with no further effort involved. Like ChatGPT, it makes use of publicly available sources such as competitor sites, but also allows you to input large proprietary datasets. It automatically takes factors such as keyword difficult and domain authority into account, injecting relevant keywords into generated copy without sacrificing tone of voice or other brand requirements.
In contrast to ChatGPT, Boost automates the manual keyword research process by independently accessing tools like SEMrush. The best performing relevant keywords are then incorporated into your generated copy.
The prioritised keyword lists for each product detail page can also be directly exported from the Boost platform.
Winner: Boost
Time Saved: ChatGPT vs Boost
ChatGPT: While ChatGPT generates drafts quickly, significant time must be spent revising, prompting, and integrating the content on an individual basis. Keyword research and competitor analysis also require external tools and substantial manual effort.
Boost: Boost saves days and weeks of writing, editing and integration by producing content that’s ready to go! Its optional, simple, no-code integration with your PIM system means that content can be bulk-uploaded with ease. No IT involvement is required during set-up.
Winner: Boost
In summary – Why choose Boost over ChatGPT?
So, the scores are in. When selecting the best fit for your content generation needs, it’s important to consider your individual goals and requirements.
For teams focused on eCommerce, Boost outperforms ChatGPT in configurability, reliability, scalability, SEO, and time efficiency.
While ChatGPT has versatile drafting potential, Boost’s specialised design makes it the better choice for:
Creating high-quality, publishable content at scale
Adhering to complex brand guidelines
Automating SEO and competitor analysis
With Boost, the AI handles the heavy lifting.
For teams that require a scalable content generator that they can rely on, Ocula Boost is the best choice. Ready to see the difference for yourself?
Related Posts
