🤖 Why Add AI to Your Website?
Adding AI can make your website more helpful, more interactive, and in some cases, more fun. Tools like OpenAI’s ChatGPT (for natural language conversation) and DALL·E (for AI-generated images) can be plugged in via APIs - allowing your website to respond dynamically to users’ questions or preferences.
Here are some real-world use cases:
- “Ask me anything about this product”: If your product pages are content-rich (e.g. specs, reviews, FAQs), AI can use that to give instant, relevant answers.
- Visualising custom packages: If users are building bundles or selecting features, DALL·E can dynamically generate mockups or visuals based on their choices.
- Personal shopping assistants: AI could recommend products based on real-time inputs - like interests or preferences - making the experience feel more curated.
🔑 How It Works: Getting Access to AI Tools
To get started, you'll need to sign up for an OpenAI account and retrieve an API key. This is what connects your website to their AI models.
From there, a developer can help set up API calls - meaning your site can send a prompt to ChatGPT (e.g. “What are the top benefits of this product?”) and get a natural language response back in real time.
No need to build your own AI - you’re tapping into powerful, pre-trained models.
💸 What Does It Cost?
OpenAI’s pricing is usage-based:
- ChatGPT API: As low as $0.0015 per 1,000 tokens (about 750 words) with GPT-3.5, with GPT-4 costing more.
- DALL·E: Around $0.04–$0.08 per image depending on resolution.
So if you’re running a product Q&A widget or offering dynamic visuals during checkout, your costs could range from £10–£100/month depending on traffic and usage - and you can always set limits.
📉 Does AI Help or Hurt SEO?
Let’s be honest: a lot of AI widgets live inside JavaScript-based elements or chat interfaces - and that means search engines can’t easily crawl or index the content. So while AI might improve user experience, it won’t necessarily help you rank better in Google.
In fact, if you replace crawlable, optimised HTML content with AI-powered features, you could unintentionally weaken your SEO performance.
That said, you can use AI behind the scenes to create helpful content, which you then publish as regular text - for example, using AI responses to generate FAQs or long-form guides.
🧠 Capture & Reuse the Best AI Responses
Here’s a smart way to make the most of AI without depending on it completely:
- Let users rate the AI’s answers (thumbs up/down, or emoji-style).
- Store the best responses.
- Curate those into real content over time - like FAQs, guides, or snippets on your product pages.
You’re not training your own AI here - you’re simply capturing what works and reusing it in a more structured, SEO-friendly way.
🔐 AI and Personalisation: What About Privacy?
The dream is real-time personalisation: “Hello John, based on your preferences, here’s what we recommend.”
But here’s where things get tricky: most AI tools (like ChatGPT) don’t know your customer unless you tell them - and that means sending personal data in the API request.
Take this example:
You want to recommend holiday destinations. Your prompt to the AI might be:
“My customer John is 50 years old, lives in Scotland, has three children, and wants ideas for family-friendly travel destinations.”
That’s helpful context - but is it legal?
Under GDPR and similar laws, sending personally identifiable information (PII) to third-party APIs requires clear user consent. Even if OpenAI doesn’t store that data, you’re still responsible for ensuring compliance.
A safer approach? Anonymise the data:
“User is in their 50s, based in the UK, and looking for family-friendly travel destinations.”
This still gives the AI useful input - without putting you at legal risk.
💬 Why Have AI Chatbots Failed (Until Now)?
Let’s not sugar-coat it: most AI chatbots up to now have been clunky, unhelpful, and sometimes embarrassing. That’s because they were often rule-based or poorly trained.
But newer tools like ChatGPT are different:
- They understand nuance and context
- They can adapt tone and language
- They work out of the box, without months of training
The result? A chatbot that actually feels human, and genuinely helps customers.
Still, remember - you’re trusting a third-party AI to speak for your brand. The tone, accuracy, and usefulness of responses need to reflect your values and quality standards.
🧭 Final Thoughts: Use AI APIs - Don’t Build Your Own (Yet)
Most businesses don’t need to train their own AI. The smartest move right now? Use powerful existing APIs to test and scale AI in a controlled, cost-effective way.
But remember:
- These tools are not yours. You’re borrowing intelligence - not building it.
- That means trusting an external system to represent your brand on your site, app, or customer interface.
- Quality control, data privacy, and UX still need your full attention.
Done right, adding AI to your digital experience can be a leap forward in personalisation, engagement, and value. Just make sure you know what you're connecting, what you're sharing, and how it reflects on your business.
💡 Want a free consultation on the AI tech stack for your business? Feel free to reach out-we’d be happy to help!
