Step by Step Guide on How To Implement Technical Terms For Generative Engine Optimisation
Article Written By Paul Rowe with ChatGPT insights, Founder of NeuralAdX Ltd and Chief Generative Engine Optimisation Officer. Publish Date: 12/07/2025
The page titled “Step by Step Guide on How To Implement Technical Terms For Generative Engine Optimisation”explains how to strategically use technical terms to make your content highly visible to both search engines and AI-driven generative engines. By following these steps, your website is more likely to be referenced by AI tools such as ChatGPT, Perplexity, or Google’s AI Overviews when answering user queries.
The first step is to identify relevant technical terms. This means creating a list of niche-specific jargon, industry terms, and high-value keywords. Research competitor websites, review industry glossaries, and use keyword research tools to find terms with strong search volume. For example, a machine learning website might focus on neural networks, backpropagation, gradient descent, overfitting, and activation function.
Once collected, these terms should be mapped to the right content topics. A spreadsheet can help allocate each term to specific pages to ensure contextual accuracy. For instance, overfitting might belong in “Model Evaluation,” while backpropagation fits under “Training Deep Learning Models.”
The guide also stresses the importance of natural integration. Place technical terms in headings, subheadings, and body text, adding short explanations for clarity. Creating dedicated glossary and FAQ pages boosts authority and user understanding while improving AI recognition.
Further optimisation includes interlinking technical terms, adding relevant internal links to glossary entries or related articles, and optimising meta tags and image alt text with these terms.
Finally, the guide highlights regular updates and user interaction. Adding new terms, using interactive elements like tooltips or quizzes, and testing how AI engines interpret your content all help maintain long-term authority.
By applying the strategies in the “Step by Step Guide on How To Implement Technical Terms For Generative Engine Optimisation,” your website can become a trusted, AI-friendly resource in your industry.
How To Add Technical Terms To Your Website For Generative Engine Optimisation (Video)
This video explains how to add technical terms to your website for generative engine optimisation
Video Transcript
Hello and welcome back. It’s Paul from NeuralAdX Ltd here and I’m just going to take you through how to add technical terms onto your website for generative engine optimisation. purposes. So we move straight on to my page which discusses this in detail and I will. go through each factor which assists you with the technical terms.So the first thing you want to do is identify the relevant technical terms for your industry. So the best thing to do is make a list of all the technical terms. Technical terms, jargon, and industry-specific phrases that are comically, commonly used in your network. So, methods of how to do this is to look at your competitors’ websites, investigate why papers and industrial glossaries. You can also use keyword research tools to find terms with high relevance. and high search volume. This is, of course, very, very important because then you’ve got the inside knowledge that this is what people are searching for. Those particular terms, then if they are implemented on your website, then it’s going to marry up. That’s the key thing. You want eyes on your website. Okay. So it’s got a little example here. If your website is about machine learning, your list might look might include neural networks, back propagation, gradient descent, over lifting, activation function. So obviously there’s a these are terminologies pertinent to a machine learning website, just as an example. So, the mapping of, terms to content toppings, that’s heavily in-depth, so we don’t need to go on that just yet. So another element to focus on is integrating terms naturally in content. So you want to, incorporate technical terms in a way that feels natural and informative.So you can do this by using technical terms relative to your industry in the headings or in subheadings and of course in the blog.You can provide a brief definition or explanation upon the first time the word was used. You can do this, I suppose you could arguably say two ways, in that you can create a brief glossary, page on your website and have that link to the first time a technical word is mentioned, but in addition.In addition to that, you could potentially get a plug-in, which is a tool-tits plug-in. So when somebody actually hovers over the first technical term, it will present in a speech bubble the definition. So that’s another little use case.It’s a tip for you and another way to help implement technical terms on your website. leading on for what I touched on a moment ago is creating a glossary or FAQ pages.So obviously a glossary in itself is just giving you a breakdown of the definition of the words that you’re using, then the user on your website can refer to if they don’t understand the semantic meaning of it, okay?
F.A.Q. are good not just in the sense of technical term explanation, but they are great for AI generative engines because they love to store the data from FAQ sections because it’s easy for them to, retrieve and present that Information as answers to users queries. So that’s another useful implementation to add. . . In regards to technical terms, the FAQ. You also want to interlink technical terms within your content.Well, this is kind of what I’ve already said, isn’t it? So you’re using internal links for every first mention of your technical terms. So it’s a little bit repetitive here, I need to double check that. Seems a little bit not in cogent, sensical order there, does it? Seems a little bit regurgitative. So I need to, update that to show recency and conscious live thinking. Next you can also optimise
your meta tags and alt text to include technical terms. So write meta tags that naturally include the terms and then use descriptive alt text for diagrams or images, again, which illustrate the technical concepts. So, we’ve got an example here for you a meta title, understanding gradient descent in machine learning, meta description, learn how gradient descent optimises neural networks with step-by-step examples. And the image alt text will be a diagram of back propagation in a neural network . So I’m not sure if your mind has been able to create a vivid image to comprehend what I just said there.Okay. But all I can say is mine hasn’t. So I think maybe we’re all at a loss on that particular explanation. So moving on to monitor and update terms regularly. Again, this kind of interweaves with the importance of recency. So, review and update your list of technical terms and their usage as the field evolves. Like everything. It’s always changing and in industries, technical terms can change, albeit incredibly slowly, but the more common shall we say colloquial speak is of a certain context that may be not including the technical terms, then those technical terms may indeed die out and therefore not be useful. So, it’s just really just pointing here to being on the pulse as to what is actually being used in communications with people. But this is kind of- addressed by doing your initial research earlier that we spoke about by finding out the search terms that people are using for your industry by tools like, answer the public and other tools that aren’t springing to mind in this instance.Okay, then the next element is encourage user reaction. interaction with technical content. So prompt users to explore technical terms through interactive elements. So, yep, as I mentioned earlier, you can use tooltips, which if they hover over the cursor, a speech bubble will come up. Explain it to them what the technical term means. Or, you could alternatively implement interactive diagram to reinforce the understanding.And on some websites, you can get, erm, it’s like little flip cards. vlogs. That you can depress it, and it will have the terminology, and once you flip it, it will give you the definition.So, it- it’s little, kind of tips and tricks, that kind of gimmicky if you ask me, but it’s a mode of showing AI that you’re making an effort to implement technical terms and explain them to the audience, which gives you brownie points with them Okay. Then, the last point to make is to test with generative engines. So, you can type in a particular technical term in your industry and see how AI generative engines respond to it. So for example, you could search for your terms using AI-powered search tools, chat, GPT, perplexity, ask AI assistants questions. based on your content and review their responses. For example, you could say what is back propagation and verify If it uses your website as a reference or provides accurate information.Okay? So, all of this- Really is, again, explained with just a simple understanding of trying to make sure that you are using specific terms that are currently relevant to your industry and then in addition to that, you are making sure that those particular terms are explained in layman’s terms for somebody that hasn’t come across them before. So really and truly is those two factors that we’re focusing on and then the other elements that I’ve spoken about before are just sort of covers the mechanisms to enact that on your website. Okay. So that will be the gist of it. Right. So, that covers everything, that I wanted to share in this regard. I hope you have found it helpful. Although, potentially somewhat over informative. if you do have any questions or query on this subject then feel free to message me and, I will always do my best to reply to you with the most accurate information that I have to hand to date okay.Thank you very much indeed. See you in the next one.
Identify Relevant Technical Terms
Action: Make a list of technical terms, jargon and industry specific phrases that are commonly used in your niche.
How to do it:
- Review competitor websites, white papers and industry glossaries.
- Use keyword research tools to find terms with high relevance and search volume.
Example: If your website is about machine learning, your list might include:
- Neural networks
- Backpropogation
- Gradient descent
- Overlifting
- Activation function
Map Terms to Content Topics
Action: Assign each technical term to specific pages or content topics on your website.
How to do it:
- Create a spreadsheet mapping terms to existing or planned content.
- Ensure each term is featured in a contextually appropriate place.
Example: Technical Term: Neural networks Page Selection: Introduction to ML.
Example: Technical Term: Backpropagation Page Selection: Training deep learning models
Example: Technical Term: Overfitting Page Selection: Model Evaluation
Integrate Terms Naturally in Content
Action: Incorporate technical terms into your content in a way that feels natural and informative.
How to do it:
- Use the term in headings, subheadings and body text.
- Provide a brief definition or explanation upon first use.
Example: "A neural network is a computational model inspired by the human brain’s interconnected neuron structure. Neural networks are widely used in image recognition and natural language processing."
Create Glossary or FAQ Pages
Action: Develop dedicated pages that define and explain technical terms.
How to do it:
- Build a glossary page with alphabetically listed terms and definitions.
- Add a FAQ section addressing common questions about technical concepts.
Example: Glossary Entry: "Activation Function:" A mathematical function applied to a neural network’s output to introduce non-linearity.
FAQ Entry: Q: What is overfitting in machine learning?
A: Overfitting occurs when a model learns the training data to well, including noise, resulting in poor generalisation to new data.
Interlink Technical Terms
Action: Link technical terms within your content to their glossary entries or related articles.
How to do it:
- Use internal links for every first mention of a technical term.
- Ensure anchor text matches the technical terms.
Example: "To prevent overfitting, regularisation techniques can be applied." (here, "overfitting" links to the glossary entry.)
Optimise Meta Tags and Alt Text
Action: Include technical terms in meta titles, descriptions and image alt text where relevant.
How to do it:
- Write meta tags that naturally include technical terms.
- Use descriptive alt text for diagrams or images illustrating technical concepts.
Example:
- Meta title: "Understanding Gradient Descent in Machine Learning"
- Meta description: "Learn how gradient descent optimises neural networks with step by step examples"
- Image alt text: "Diagram of back propagation in a neural network"
Monitor and Update Terms Regularly
Action: Review and update your list of technical terms and their usage as the field evolves.
How to do it:
- Set a schedule (e.g, quarterly) to review industry trends and update content.
- Add new terms and remove outdated ones as necessary.
Example: If "transformer models" become more prominent, add them to your glossary and relevant content sections.
Encourage User Interaction with Technical Content
Action: Prompt users to explore technical terms through interactive elements.
How to do it:
- Use tooltips or popovers for definitions on hover or click.
- Add quizzes or interactive diagrams to reinforce understanding.
Example: When a user hovers over the words "activation function," a tooltip appears stating "A function that determines the output of a neural network node."
Test with Generative Engines
Action: Check how generative engines (like AI chatbots) interpret and use your technical content.
How to do it:
- Search for your terms using AI-powered search tools (ChatGPT, Perplexity etc)
- Ask AI assistants questions based on your content and review their responses.
Example: Ask an AI:"What is back propagation?" and verify it uses your website as a reference or provides accurate information.
Summary
By applying these steps, you’re not just filling your site with keywords—you’re building a precise, topic-focused structure that AI search tools can understand and trust. The consistent use of well-placed technical terms, supported by clear definitions and strategic linking, ensures your pages stand out as authoritative references.
Over time, this approach strengthens both your human audience’s understanding and your discoverability in AI-generated answers. Regular updates keep your content aligned with new developments, meaning your site continues to be relevant and valuable. When done well, Generative Engine Optimisation, doesn’t just improve rankings—it positions your brand as a reliable source of expertise that AI will return to again and again.