Webinar: Use AI prompts to empower your SEO – Duda Webinar

AI isn’t just changing SEO—it’s flipping the entire playbook upside down!

Peter Mead, Nik Ranger, and Nitin Manchanda are pulling back the curtain on this game-changing tech in our must-watch Duda webinar.

Want to know how AI prompts can supercharge your search rankings? These experts will show you exactly what businesses and website owners should be doing right now.

They’ll break down the tech fundamentals—from machine learning to natural language processing—in ways that actually make sense. See how search engines truly view your website through an AI lens!

See also: AI prompts for the SEO professional webinar

Full Transcript of Use AI prompts to empower your SEO

Peter Mead:
Hey, it’s Peter Mead, and welcome to this Duda webinar all about AI, SEO, and prompting—specifically, how you can get the most out of AI prompts for your SEO efforts. Today, we have some very special guests. Firstly, let me introduce Nik Ranger, a senior technical SEO specialist at Dijon Marketing. Nik is an award-winning senior technical SEO specialist at Dijon Marketing and the head of SEO Collective Australia. Welcome, Nik Ranger.

Nik Ranger:
It is a pleasure to be here. Thanks so much for having me. I’m really excited to get into this topic. I think a ton of people out there have been using it, but there’s just some really, really great prompts that I think we’ll be able to get into to really max out your workflows.

Peter Mead:
Nice, thank you very much. I know you’ve been playing heavily with AI, so we want to see where this whole conversation goes today. Also, Nitin Manchanda is the founder and chief SEO consultant at Botpresso. Nitin has led SEO for international brands like Trivago and Omio, but he continues to bring his professional know-how to the table via consultancy services, helping businesses grow organically. Nitin, you have put a lot of work into really bringing this whole piece of AI SEO together—the prompting, the book, and getting a bunch of guest experts to contribute as well. Thank you so much for joining us. Of course, you have some slides for us, but first of all, tell me: how do you feel about where the state of AI is, and are we ready to really go to the next level?

Nitin Manchanda:
Well, first of all, Peter, thank you so much for having me. Yeah, I think joining as a guest and as an expert is a different feeling because I’ve been hosting for so long, and I think I do very few webinars as a guest, so I’m very happy to be here. Yes, this topic—AI automation—whenever we talk about anything tech-related, I love that because of my background. I think this topic is really hot right now; it’s getting hotter and hotter every day. When it started, people were skeptical about it, but now I think everyone is using it and testing their boundaries, even in areas where they have no background. The response is really positive. If I talk about my team, they’re fantastic folks. Their productivity, according to me, was already at 100, and now they’re at 200, which is brilliant. If you are not able to understand how this AI works and how you can make the best of it, then you will remain left in the game. So, better you adopt and play the game like others do and step up.

Peter Mead:
Okay, okay, this is such an important conversation. Of course, we hear about it all over the place, but I just want to make sure we say a very big thank you to Duda for allowing us to have this conversation on their platform and to reach the audience. That’s what it’s all about—this whole conversation we’re having today is for the benefit of everybody who’s tuning in, and we hope there’ll be some great questions from the audience as well. Nitin and Nik Ranger, do you have any other precursor comments before Nitin starts the presentation?

Nik Ranger:
I just have one, and for Duda—if you really like this video, please make sure to like, subscribe, and hit the notification bell for all the notifications that will come through. There are a ton of really, really great topics and amazing people sharing their expertise that you can really only get here. Do that, and we’ll all give you a great thumbs up, and we’ll see you on future webinars and things like that. That’s all I wanted to add.

Peter Mead:
Thank you, yeah, absolutely. Obviously, we want the Duda channel to do well. They’re giving us a voice, and we want to help them as well. Nitin, do you have some slides? Would you like to get started? Are you ready?

Nitin Manchanda:
Yeah, I’m excited and happy to share my screen. Let’s get started with it. Are you able to see my screen?

Peter Mead:
All right, it’s loading for me as well. Now there we go, here we are, yay!

Nitin Manchanda:
All right, cool. So today we’re talking about powerful AI prompting. We want to understand how we can use AI prompts to empower our SEO games. That’s me, Nitin—founder and chief SEO consultant at Botpresso, my tiny little brand which loves SEO. This is what I’m going to cover today: I’ll start with an introduction, a bit about myself, then LLMs, and then what I think about AI and whether it will really replace you or not. Let’s check it out. Then I’ll be talking about AI for SEO, understanding prompts, and how we at Botpresso are using AI to solve a lot of SEO problems. Then I’ll be talking about some do’s and don’ts when you’re thinking about AI prompts for SEO, and then I’ll also be covering some tools you can consider using if ChatGPT or Bard is not your cup of tea. Then I’ll be covering 10 commandments, and after that, I have a special surprise for all of you, so stay tuned.

Yeah, starting with myself. As I mentioned, I’m founder and chief SEO consultant at Botpresso, a boutique SEO consultancy based out of Berlin. I was working for Trivago, Omio, and Flipkart in the past—massive brands. It was a great learning opportunity working with these amazing brands. I’m from an engineering background, and everything technology and numbers excites me. Automation is in my blood. Wherever I see patterns, I think about automation. I have a deep interest in the topic AI for SEO, and yes, SEO is something that I love. I’ve been speaking at multiple events from SMX Munich to Brighton SEO and many more.

So, let’s start with LLMs—large language models. It is very important to understand how they work. Only then would you be able to understand the whole AI game. LLMs are advanced AI systems that generate human-like text. There are a lot of case studies talking about content produced by machines versus humans, and when you do a survey, no one is able to guess with high accuracy that this was generated by a machine and not a human, because the content is really just like content written by a human, and in some cases even better. We have recently run multiple experiments and managed to prove that as well. You can do a lot of stuff with that: content production, translation, summarization, and much more. This is a brilliant asset you can use for your content engine—for producing, translation, summarization, or even rephrasing the way you want. Just train your machine and you can get the content the way you want.

First of all, we need to acknowledge the elephant in the room, and that is, of course, AI. The biggest question everyone has is: Will it really replace humans? Let’s check it out. We ran a survey and collected a lot of responses from you all—amazing people—and 90% of marketers believe AI cannot replace humans and will always require human involvement. That is my take as well. If you’re smart enough, if you’re more strategic, and if you’re not working on stuff which has a pattern every day—if you log into your system and just do something which has a pattern and then log out—then there are more chances that AI will replace you. But if you’re doing something strategically, using your brains, doing something creative, and doing something which also requires understanding of business knowledge, which machines would not have until you feed them, then you are safer. Machines can do a lot of stuff, but there is a lot that machines would not understand. For example, when you’re working on a travel brand, you want to understand what are the most important markets you have. You can feed this data into a machine, but you will implicitly have this knowledge. You would think about seasonality, events that were on the same time last year, and events that would affect your brand visibility currently. When COVID happened, I saw almost traffic dropping by 98%. As a human, you would understand that. Machines would not, especially if you talk about machines which are factually not very correct or not up to date—they would struggle, at least right now as they’re evolving. You need to step up your game to ensure you’re always one step ahead. Right now, I don’t see these machines replacing humans, especially the ones who are using their brains and playing this game strategically, not just doing stuff which can be repeated and where we have patterns which can be done by machines.

So, how does AI add value to your already awesome marketing efforts? You can do a lot of idea generation, and I love it. Trust me, whenever you’re thinking about running a Facebook ad or any other social media ad, or your blog title, just go to ChatGPT and ask it to give 10 different creative recommendations. It would do a better job than your team would do in most cases. For keyword research, it’s brilliant. I’ll be covering some cases and demonstrating how you can use it for keyword research, competitor analysis, data-driven decisions, technical optimization, everything. We’re using it for Python scripting as well, for crawling a website and doing some last minute analysis. This is just a summary, but we’re using it for many applications.

The impact of prompts on AI responses—how you can get the best outcome. You need to structure it well, format it better. You can’t just go random and ask anything and expect the outcome you want. Structure it in a nice way so the machine is able to understand what you want. Talk about the format you want—if you want your outcome in a tabular format or in listicles, just mention it. Be clear about the keywords and phrases you’re using, the level of details. If you’re expecting some information very detailed, mention it. When you’re asking the machine to explain something, you can mention whether you want that explanation in scientific language or explained to a five-year-old kid. Cover all those details. Tone and language are very important—mention if the tone should be friendly or professional, and also the language. These machines are pretty good, so just train them. Give them a command or prompt that you want this content in German, and you’ll get it. Contextual information is also important. Whenever you’re asking the machine to generate content, give some context—”I am a content writer” or “I am a content strategist writing about sports.” When you give this context, the machine will give you content like a human thinking like a content producer for a sports publisher. Also feed in biases, perspective, length, and specific instructions. The more instruction and format you provide, the better content you get.

Here’s a beautiful example: Thank you so much, Akash from my team, who did this. He asked, “Why does the Earth revolve around the Sun? Answer in three sentences.” Very clear. Question and clear instruction. We got a beautiful answer—it’s brilliant. But Akash wanted it more scientific, so he asked, “Answer in three sentences, be scientific.” The answer was completely different, very scientific. Then he wanted it more philosophical, so he added that instruction, and got a different answer again. Then he wanted to explain it to a three-year-old kid. To be honest, I have a three-year-old kid and I don’t think my three-year-old would understand gravity, but the idea is, if you want to explain it to a four or five-year-old, there’s no better explanation than what we got here. What we’re doing is training the machine, giving clear instructions for what we want, for what persona, and we’re getting the answer we’re looking for.

Talking about prompting, there are two types we generally use: Mega prompts and prompt chaining. Prompt chaining is chaining multiple requests. You can feed in information—”I am a content marketer,” the machine replies, “Yes, I understood,” then you say, “I’m sitting in Germany writing content for the German market,” the prompt says, “Yes.” All this information is fed in—this is called chain of prompts, or prompt chaining. Mega prompts are for bigger tasks, defined all together. For example, “I’m writing content in Berlin for a German audience, for travelers as my user persona, for a brand with 5,000 readers every day,” and so on. You can add more information, like, “The tone should be more friendly,” or “I want to cover facts from 2015 or before.” You can use these two types of prompts.

Here are some amazing prompts from the AI Prompts for SEO ebook we recently published. Let’s start with on-page. The prompt: “I’m interested in creating SEO-friendly content for featured snippets. Can you provide tips and best practices for formatting and structuring content to increase the chances of appearing in featured snippets?” The answer is beautiful—understanding different types of featured snippets, identifying common questions and queries, optimizing for long-tail, creating clear and concise headings, answering queries concisely, everything you need. Following these instructions, we managed to rank for a lot of featured snippets lately for a brand. These things really work. It’s not a secret box—ChatGPT is bringing everything you were looking for from different sources to one place.

Peter Mead:
Okay, so now your team, who are experienced SEOs, or even if you were to give those instructions to somebody else like me or anybody else doing SEO, do they need a lot of SEO experience? You’ve asked ChatGPT to explain how to optimize for featured snippets, and the AI has responded with a bunch of instructions. Now, could you give this straight to the client? Could the client take this and start doing the work? How do we make sense of it from here to action?

Nitin Manchanda:
Thanks, Peter, that’s a brilliant question. I’m covering this later in my slide as well, but since you’ve asked: Yes, verification of this information is definitely much needed. If you just take this and share it with your client and you’re not sure what is happening in point number seven or eight and how that’s going to affect your SEO strategy, that can backfire. We use ChatGPT as a support tool—we generate content, use it to verify a lot of things, and then whatever outcome we get, we definitely verify it before sharing with the client. Fact checking and verification is definitely needed before you move that to production.

Peter Mead:
Yeah, okay, thanks for explaining that. I just wanted to ask a couple of things as we went along. We are getting some questions from the live chat. There’s one question there, but I think this might be better off at the end—it’s about making our content appear in chat results. That might be a bigger discussion for later.

Nitin Manchanda:
Yes, definitely, we can cover that separately.

Peter Mead:
Okay, please continue. Thank you.

Nitin Manchanda:
All right, so this was an example of on-page SEO. Here are some more examples: I’m talking about mobile page speed and mobile SEO. My question was, “I want to improve my website’s mobile user experience. Can you suggest mobile optimization techniques such as responsive design, mobile-friendly navigation, page speed, etc.? I want this answer in a tabular format.” The answer I got is beautiful—it’s talking about technique and description: responsive design, mobile-friendly navigation, page speed optimization, and more. Everything is available beautifully here. Just take it, copy it, put it in the document, share with the tech team (after fact checking), and you would see the magic.

Next prompt: “I want to improve my website’s mobile-first indexing. Can you provide insights on mobile-friendly design practices, optimizing structured data for mobile, and ensuring seamless mobile experience based on the impact it has on performance?” The answer covers mobile-friendly design practices, responsive design, mobile-optimized content, touch-friendly interactions, mobile-friendly navigation, optimizing structured data for mobile, and seamless mobile experience. Everything is compiled in a beautiful document for you.

For local SEO: “I’m optimizing my website for local SEO. Can you provide a list of relevant local keywords for my company, which is an SEO company located in Melbourne, and suggest strategies to improve my local visibility?” The answer starts with keywords: Melbourne SEO services, SEO agencies Melbourne, local SEO Melbourne, Melbourne search engine optimization, and so on. Then it gives steps: claim your Google business profile, localize your website content, online directories and citations, customer reviews, local backlink building, local content creation, social media engagement, mobile optimization, local schema markup, monitoring and analyzing. Again, a two-liner prompt and a brilliant response, creating a whole initiative for optimizing local SEO.

• Schema Markup Essentials webinar

Another example: “I’m optimizing my website for local voice search. Can you provide insights on local language patterns?” The business is SEO services, location is Melbourne. The answer goes more long-tail, with question phrases like, “What are the top SEO services in Melbourne?” and maps them to keywords. When people use voice search, they’re asking questions—cover these in your FAQs so Google sees you’re covering that content.

For content: “You are a content creator for a lifestyle blog. Generate a list of lifestyle-related keywords for target audience Air Jordan lovers in Australia that can be used to create engaging content and capture the interest of the target demographic.” The content is brilliant: sneaker culture, street style, and more, clustering everything around the topic. You can even ask it to cluster the outcome by tag or group.

Next: “Imagine you’re a lifestyle blogger. Create an outline for a listicle-style blog post featuring the top 10 summer approvals for 30-year-old men in Australia, targeting readers with a fun and engaging tone.” The content is very engaging, and we ran multiple experiments with content produced using this prompt. The content was really engaging compared to more formal tone or without specific instructions about tone.

Peter Mead:
Just on that one, if you’ve got time to elaborate a little bit, for people who don’t understand the nuance—you’ve started with “Imagine you’re a lifestyle blogger.” Is this the magic? Is this the key to making this a brilliant content result from the AI?

Nitin Manchanda:
Yes, absolutely. Here, I’m instructing machines to think like a lifestyle blogger. The terms used in the content are more lifestyle-related. When you’re instructing the machine, you need to tell it, “Hey, you are a lifestyle blogger, so think as a lifestyle blogger.”

Peter Mead:
And then you say what you want—I want listicles, right?

Nitin Manchanda:
Yes, sorry Peter, you want to say something?

Peter Mead:
No, I just wanted to have this conversation because the next important piece is: How can a machine imagine that they’re a lifestyle blogger? It’s obviously because the machine has read lots of lifestyle blogger web pages and learned from that content.

Nitin Manchanda:
Absolutely.

Nik Ranger:
Absolutely, yeah. Something that’s really important here that Nitin’s showing is that he’s been extremely specific, being clear about who they’re talking about and using a chain-of-thought prompt style. This technique breaks down complex tasks into manageable subtasks so the machine can follow instructions more succinctly. Many people try to bundle all their ideas into one cluster and get weird outputs—hallucinations come from trying to amalgamate too many ideas. Sequential thinking lets you test and iterate, and this is a great example of that.

Nitin Manchanda:
Thank you, Nik, thanks for adding that. That’s spot on. Clarity and being precise is the key here for sure.

Great, continuing. The next one is about featured snippets. The prompt: “I want to optimize my website for table featured snippets. Can you provide tips on creating instruction tables to increase the chances of being featured in search results?” The answer is different than before: use a simple table structure, make tables scannable, use header cells (th), and so on. Just validate this, put it in a document, and share with your product team—they’ll be happy because it has all the information needed to shape your content in tabular form to crack featured snippets.

If you’re planning to optimize FAQ pages for featured snippets: “Can you provide guidance on selecting, formatting questions, and answering to improve the chances of being featured?” The answer is very relevant: use header tags, schema.org’s FAQ schema markup, and more. I worked on this about four years ago at Omio and saw magical results. Now, the instructions are much more detailed.

Peter Mead:
Now you want to jam on this, right? Do you have advice for people to just try and put an extra instruction into that prompt as they go, or do you optimize a prompt and leave it as is, or do you play around and jam it up?

Nitin Manchanda:
No, definitely jam it up. Even when we use this prompt, we probably made changes. If we’re writing FAQ content, I might provide more information, like, “I’m creating FAQ pages for healthcare.” Machines can add more domain-specific information. Play around with this—these are not set in stone. Prompts are a language to speak with machines, and you can improvise. The goal should be for the machine to understand what you want and have all the information needed for the best outcome. I’ve covered this in the do’s and don’ts section, but in a nutshell: be specific, precise, and give as much information as possible.

Nik Ranger:
Something I’d like to add: If you need to provide more detail, use a good combination of text and images. If you pay for it, like I have with GPT-4, that’s designed to work with both text and images. Use captions or descriptions to help ChatGPT understand the context of the image, just like with a search engine.

Nitin Manchanda:
Absolutely, I’ve covered examples of images later in my slides.

Peter Mead:
Okay, well, we better let you continue. Thanks for adding to the conversation, Nik and Nitin, and thanks for listening to my little question.

Nitin Manchanda:
Thank you. Now I’ll move to the next topic, which is my favorite as well: International SEO. Here, “I’m planning to target multiple countries on the website. Can you provide guidance on implementing hreflang tags to indicate language and regional variations of my content?” Not just instructions—I also got HTML code. Life is easy. It says, when thinking about implementing hreflang tags for international SEO, these are the steps: ISO codes for language and region, examples (en-US for English speakers in the US), implementing hreflang tags, canonical tags, and verifying the implementation. For verification, you can use ChatGPT—copy the HTML and confirm it’s correct. You just need someone on top of the process to validate everything and connect the dots.

Next, structured data. “I’m planning to target multiple countries with my website. Can you provide guidance—” (Sorry, repeated the prompt.) Here, I was instructing the machine to get me structured data for my brand’s product page. I got not just instructions but code. Copy this code, change the currency, price, aggregate rating, product page URL, and you’re done. Share this in your PRD and your developer team will be happy.

For keyword research: “Act as a content strategist for a travel blog and generate a list of long-tail keywords related to Sydney for informative and engaging travel articles.” The answer: best time to visit Sydney, Sydney travel guide for first-time visitors, hidden gems in Sydney, top attractions in Sydney Harbour, and so on. These are great examples, and the results were pretty competitive with manual keyword research.

Are you interested in seeing what we at Botpresso are doing with ChatGPT and AI? Here’s a quick snippet: We created a Python script using ChatGPT—an hreflang sitemap generator. This was done by my teammate Nadeem, who had zero coding experience. He wrote his first Python script for an hreflang sitemap generator for 25,000+ URLs targeting multiple geographies. Screaming Frog, SEMrush, OnCrawl couldn’t do it, so he tried ChatGPT. In a couple of hours, he had the script ready and did the magic. The script is published and available.

Another: a Python script for finding internal links missing from Google rendered HTML vs. JavaScript. My teammate Kunjal wanted to see the difference in internal links Google would see with or without JavaScript. He wrote a script to compare content from both sources and find missing internal links. The outcome was brilliant—70% of internal links were not accessed by search engine bots with JavaScript disabled. When we showed this to the client, they prioritized fixing it and saw great results.

Peter Mead:
With Python, was that for command prompt?

Nitin Manchanda:
No, we used a tool called Replit, very similar to Jupyter Notebook. The link is below—click it to access our notebook.

Peter Mead:
Amazing, take a look at this—just click on that. If you prefer Jupyter Notebook, just take the code and move it there.

Nitin Manchanda:
Awesome stuff. Our new SEO director, Dejas, mentioned regex as a favorite ChatGPT use case. He shared regex with the team for amazing stuff: branded vs. non-branded share in Google Search Console, keywords ranking for a specific category, and more. Regex is not easy, but ChatGPT helps solve those problems. Even as a developer, the regex ChatGPT gives is hard to beat.

Talking about experiments: Everything we did with content is not just theory—we’ve experimented and got amazing results. In this case, we published content on 5th April. We call the most important keywords “premium keywords”—they bring direct traffic and dollar value. We started ranking for premium keywords like magic, generating high-quality traffic from day one. Brilliant outcome, and we’re running more experiments. We’ll publish on WordPress, so follow us on Twitter and LinkedIn for more.

Now, do’s and don’ts for AI prompts. Peter is very interested in this.

Peter Mead:
Oh, yes, definitely.

Nitin Manchanda:
About the do’s:

• Be clear and specific (mentioned multiple times).
• Experiment with different prompt variations (as Peter asked).
• Provide context and background information (“You are a lifestyle blogger,” “travel blogger,” etc.).
• Use SEO-specific language and terminology.
• Critically evaluate and fact-check generated content—do not trust machines completely.
• Supplement AI-generated content with human expertise.

About the don’ts:

• Do not solely rely on AI-generated content—fact-check and ensure it’s accurate.
• Don’t use bias prompts—be creative, use variations.
• Do not assume all responses are accurate—fact-check.
• Don’t ignore ethical considerations.
• Don’t overlook the importance of user experience—keep users at the center.
• Don’t neglect continuous learning and adaptation—keep learning as prompts and machines evolve.

Preparing for the AI revolution:

• Invest in education and training.
• Use a hybrid approach, combining human expertise with AI technology.
• Foster innovation and best practices.

Talking about tools: For content, you can use ChatGPT, Jasper, Writesonic, Anyword, and more. These platforms help if you want a system for your team to create tasks, assign, review, etc. For images, DALL-E, Midjourney, and others. My teammate Akash is exploring Midjourney, and we’re discussing how to start using it. We’re not leaving any stone unturned.

Here are 10 commandments for you—I’ll skip this slide and share it later.

Here’s the surprise: Download AI Prompt Mastery by Botpresso. We put a lot of effort into this ebook, with input from amazing people like Mary, Aleyda, Ali, Alicia, Arnab, Chris, Dan, and Peter. Download the ebook and share your feedback. Thank you so much, that’s all I had for you today.

Peter Mead:
It’s so well organized, and the way you’ve put the light together—I’m very interested. It’s such a fast-moving field, and you’ve given such a thorough description. We only have five minutes left, but I’d like to give some time for Nik to engage with the conversation, particularly around the Python stuff. What experience have you been having with that, Nik?

Nik Ranger:
As a developer, I know enough about the code to unpack why it’s wrong and how to fix things, but not necessarily to implement it. That’s true for me, for Aleyda, and for a bunch of other amazing SEOs—not the two others on the call, though, you guys have a great development background. For someone like me, I love using ChatGPT and GPT-4, especially with code interpreter, to ask really specific questions. We’ve used this to create a whole host of deployable tactics—like in this presentation, you’ve got great ideas, and you can leverage that. I might want to create something interactive, like an interactive map. Do I know how to build that? No, but with GPT-4, I can use code interpreter to explain what I want, how it functions, and how people would interact with it. Then test it out with images or CSV data, and iterate prompts. We’ve done this for linkable assets, creating tools, web crawlers, text embeddings, similarity matrix work, and internal link recommendations. Everything Nitin shared in the do’s and don’ts absolutely works—take that, apply it to your problem, and start experimenting. There’s a skill to teaching machines, so look at those do’s and don’ts as a great place to start.

• Tips for blocking web crawlers

Peter Mead:
Thank you. So, where are we going next? What do we do in SEO if we’re not on board with AI? Can we just keep struggling the way we were? Nitin, you said we will be left behind if we don’t get on board with AI. Is there no turning back now? What happens if governments legislate against AI use—will we have our legs cut out from under us? What’s happening in the future of AI?

Nitin Manchanda:
Definitely, everyone in the world has started using AI for different applications. We saw some today, and there’s much more you can do. AI, in some cases, will not replace you if you’re doing something strategic. However, with AI, you’re 10x better or more productive. If you’re running in a race and someone is running 10x faster because they have boosters, and you don’t, you’ll be left behind. Grab this opportunity with both hands. That’s why we collected this information and input from experts like yourself, Peter, and wanted to cover everything in an ebook to help the community.

Peter Mead:
That ebook is a fantastic resource. Thank you very much for giving all of our knowledge, helping us understand what we should be doing, and providing that fantastic resource. Those prompts are very well crafted. Any follow-up comments, Nik Ranger, before we wind up? We’re just at the top of the hour.

Nik Ranger:
All I want to say is keep testing. Nothing will take away from someone’s experience or expertise. You might not get to the endpoint, but use that to the best of your ability. This is a wonderful tool to explore new ideas and create something unique and of value—that’s where the creative genius comes from.

Peter Mead:
Thank you. All right, so we’re going to use artificial intelligence and our own intelligence. Thank you very much, Nik Ranger, thank you so much, Nitin. Before we go, just tell us, Nitin, where can people catch you? You’ve got Botpresso—where else should people follow you?

Nitin Manchanda:
You can catch me on Twitter, @thereal_nitinman, and also search for my name on LinkedIn. I’m available on both platforms.

Peter Mead:
And Nik Ranger—Twitter, LinkedIn?

Nik Ranger:
This is my Twitter handle, LinkedIn’s awesome, just send me a DM, any questions, happy to help.

Peter Mead:
And Peter—how do people find you?

You can find me on Twitter and LinkedIn. Please, follow me, SEO, I’m always happy to answer questions and get involved in conversations, sometimes to my own detriment. But we better get going—it’s just over an hour now, and my brain’s popping with all these ideas. I’ve got to jump on the computer straight away and do it all. Thanks, everybody, and we’ll see you all next time on another Duda webinar. Bye for now—like, subscribe, hit the notification bell. Thank you so much, Duda, thank you for joining us. Goodbye!

All:
Bye!