May 21, 2025
That’s a wrap on I/O 2025! Here’s what we announced, launched and demoed.
Yesterday at Google I/O, we shared how we’re taking the progress we’re making in AI and applying it across our products. Major upgrades are coming to our Gemini app, our generative AI tools and everything in between — including some truly incredible progress we’re making with our AI models (and new ways you can access them).
Here’s a list of I/O 2025’s highlights — many of which you can try today!
1. Try it now! AI Mode is starting to roll out for everyone in the U.S. right on Search. But if you want to get access right away, opt in via Labs.
2. For questions where you want an even more thorough response, we’re bringing deep research capabilities into AI Mode in Labs, with Deep Search.
3. Live capabilities from Project Astra are coming to AI Mode in Labs. With Search Live, coming this summer, you can talk back-and-forth with Search about what you see in real-time, using your camera.
4. We’re also bringing agentic capabilities from Project Mariner to AI Mode in Labs, starting with event tickets, restaurant reservations and local appointments.
5. Coming soon: When you need some extra help crunching numbers or visualizing data, AI Mode in Labs will analyze complex datasets and create graphics that bring them to life, all custom built for your query. We’ll bring this to sports and finance queries.
6. We’re introducing a new AI Mode shopping experience that brings together advanced AI capabilities with our Shopping Graph to help you browse for inspiration, think through considerations and find the right product for you.
7. Try it now! You can virtually try on billions of apparel listings just by uploading a photo of yourself. Our “try on” experiment is rolling out to Search Labs users in the U.S. starting today — opt in to try it out now.
8. We also showed off a new agentic checkout to help you buy at a price that fits your budget with ease. Just tap “track price” on any product listing, set what you want to spend and we’ll let you know if the price drops.
9. We shared some updates on AI Overviews: Since last year’s I/O, AI Overviews have scaled up to 1.5 billion monthly users in 200 countries and territories. That means Google Search is bringing generative AI to more people than any other product in the world.
10. In our biggest markets like the U.S. and India, AI Overviews is driving over 10% increase in usage of Google for the types of queries that show AI Overviews.
11. And starting this week, Gemini 2.5 is coming to Search for both AI Mode and AI Overviews in the U.S.
12. Try it now! Now Gemini is an even better study partner with our new interactive quiz feature. Simply ask Gemini to “create a practice quiz on…” and Gemini will generate questions.
13. In the coming weeks we’ll also make Gemini Live more personal by connecting some of your favorite Google apps so you can take actions mid-conversation, like adding something to your calendar or asking for more details about a location. We’re starting with Google Maps, Calendar, Tasks and Keep, with more app connections coming later.
14. Try it now! Starting today, camera and screen sharing capabilities for Gemini Live are beginning to roll out beyond Android to Gemini app users on iOS. ¹
15. Try it now! Starting today, we’re introducing a new Create menu within Canvas that helps you explore the breadth of what Canvas can build for you, allowing you to transform text into interactive infographics, web pages, immersive quizzes and even podcast-style Audio Overviews in 45 languages.
16. Try it now! Starting today, you can upload PDFs and images directly into Deep Research so your research reports draw from a combination of public information and details that you provide.
17. Soon, you’ll be able to link your documents from Drive or from Gmail and customize the sources Deep Research pulls from, like academic literature.
18. We announced Agent Mode, an experimental feature where you will be able to simply describe your end goal and Gemini can get things done on your behalf. An experimental version of Agent Mode in the Gemini app will be coming soon to Google AI Ultra subscribers.
19. Try it now! Gemini in Chrome will begin rolling out on desktop to Google AI Pro and Google AI Ultra subscribers in the U.S. who use English as their Chrome language on Windows and macOS.
20. The Gemini app now has over 400 million monthly active users.
21. With our latest update, Gemini 2.5 Pro is now the world-leading model across the WebDev Arena and LMArena leaderboards.
22. We’re infusing LearnLM directly into Gemini 2.5, which is now the world’s leading model for learning. As detailed in our latest report, Gemini 2.5 Pro outperformed competitors on every category of learning science principles.
23. We introduced a new preview version of our leading model, Gemini 2.5 Flash, with stronger performance on coding and complex reasoning tasks that is optimized for speed and efficiency.
24. 2.5 Flash is now available to everyone in the Gemini app, and we’ll make our updated version generally available in Google AI Studio for developers and in Vertex AI for enterprises in early June, with 2.5 Pro soon after.
25. 2.5 Pro will get even better with Deep Think, an experimental, enhanced reasoning mode for highly-complex math and coding.
26. We’re bringing new capabilities to both 2.5 Pro and 2.5 Flash, including advanced security safeguards. Our new security approach helped significantly increase Gemini’s protection rate against indirect prompt injection attacks during tool use, making Gemini 2.5 our most secure model family to date.
27. We’re bringing Project Mariner‘s computer use capabilities into the Gemini API and Vertex AI. Companies like Automation Anywhere, UiPath, Browserbase, Autotab, The Interaction Company and Cartwheel are exploring its potential, and we’re excited to roll it out more broadly for developers to experiment with this summer.
28. Both 2.5 Pro and Flash will now include thought summaries in the Gemini API and in Vertex AI. Thought summaries take the model’s raw thoughts and organize them into a clear format with headers, key details and information about model actions, like when they use tools.
29. We launched 2.5 Flash with thinking budgets to give developers more control over cost by balancing latency and quality, and we’re extending this capability to 2.5 Pro. This allows you to control the number of tokens a model uses to think before it responds, or even turn its thinking capabilities off. Gemini 2.5 Pro with budgets will be generally available for stable production use in the coming weeks, along with our generally available model.
30. We added native SDK support for Model Context Protocol (MCP) definitions in the Gemini API for easier integration with open-source tools. We’re also exploring ways to deploy MCP servers and other hosted tools, making it easier for you to build agentic applications.
31. We introduced a new research model, called Gemini Diffusion. This text diffusion model learns to generate outputs by converting random noise into coherent text or code, like how our current models in image and video generation work. We’ll continue our work on different approaches to lowering latency in all our Gemini models, with a faster 2.5 Flash Lite coming soon.
32. We introduced Google AI Ultra, a new AI subscription plan with the highest usage limits and access to our most capable models and premium features, plus 30 TB of storage and access to YouTube Premium.
33. Google AI Ultra is available in the U.S. now, with more countries coming soon. It’s $249.99 a month, with a special offer for first-time users of 50% off for your first three months.
34. College students in the U.S., Brazil, Indonesia, Japan and the U.K. are also eligible to get a free upgrade of Gemini for a whole school year — more countries are coming soon.
35. There’s also Google Al Pro, which gives you a suite of Al tools for $19.99/month. This Pro plan will level up your Gemini app experience. It also includes products like Flow, NotebookLM and more, all with special features and higher rate limits.
36. Try it now! We announced Veo 3, which lets you generate video with audio and is now available in the Gemini app for Google AI Ultra subscribers in the U.S., as well as in Vertex AI.
37. We also added new capabilities to our popular Veo 2 model, including new camera controls, outpainting and object add and remove.
38. We showed you four new films created with Veo alongside other tools and techniques. View these films from our partners and other inspirational content on Flow TV.
39. Try it now! Imagen 4 is our latest Imagen model, and it has remarkable clarity in fine details like skin, fur and intricate textures, and excels in both photorealistic and abstract styles. Imagen 4 is available today ² in the Gemini app.
40. Imagen 4 is also available in Whisk, and to enterprises in Vertex AI.
41. Soon, Imagen 4 will be available in a Fast version that’s up to 10x faster than Imagen 3.
42. Imagen 4 can create images in a range of aspect ratios and up to 2K resolution so you can get even higher-quality for printing and presentations.
43. It is also significantly better at spelling and typography, making it easier to create your own greeting cards, posters and even comics.
44. Try it now! Flow is our new AI filmmaking tool. Using Google DeepMind’s best-in-class models, Flow lets you weave cinematic films with control of characters, scenes and styles, so more people than ever can create visually striking movies with AI.
45. Flow is available today for Google AI Pro and Ultra plan subscribers in the United States.
46. In April, we expanded access to Music AI Sandbox, powered by Lyria 2. Lyria 2 brings powerful composition and endless exploration, and is now available for creators through YouTube Shorts and enterprises in Vertex AI.
47. Lyria 2 can arrange rich vocals that sound like a solo singer or a full choir.
48. Lyria RealTime is an interactive music generation model that allows anyone to interactively create, control, and perform music in real time. This model is now available via the Gemini API in Google AI Studio.
49. We announced a partnership between Google DeepMind and Primordial Soup, a new venture dedicated to storytelling innovation founded by pioneering director Darren Aronofsky. Primordial Soup is producing three short films using Google DeepMind’s generative AI models, tools and capabilities, including Veo.
50. The first film, “ANCESTRA,” is directed by award-winning filmmaker Eliza McNitt and will premiere at the Tribeca Festival on June 13, 2025.
51. To make it easier for people and organizations to detect AI-generated content, we announced SynthID Detector, a verification portal that helps to quickly and efficiently identify content that is watermarked with SynthID.
52. And since launch, SynthID has already watermarked over 10 billion pieces of content.
53. We are starting to roll out the SynthID Detector portal to a group of early testers. Journalists, media professionals and researchers can join our waitlist to gain access to the SynthID Detector.
54. We’re working to extend our best multimodal foundation model, Gemini 2.5 Pro, to become a “world model” that can make plans and imagine new experiences by understanding and simulating aspects of the world, just as the brain does.
55. Updates to Project Astra, our research prototype that explores the capabilities of a universal AI assistant, include more natural voice output with native audio, improved memory and computer control. Over time we’ll bring these new capabilities to Gemini Live and new experiences in Search, Live API for devs and new form factors like Android XR glasses.
56. And as part of our Project Astra research, we partnered with the visual interpreting service Aira to build a prototype that assists members of the blind and low-vision community with everyday tasks, complementing the skills and tools they already use.
57. With Project Astra, we’re prototyping a conversational tutor that can help with homework. Not only can it follow along with what you’re working on, but it can also walk you through problems step-by-step, identify mistakes and even generate diagrams to help explain concepts if you get stuck.
58. This research experience will be coming to Google products later this year and Android Trusted Testers can sign up for the waitlist for a preview.
59. We took a look at the first Android XR device coming later this year: Samsung’s Project Moohan. This headset will offer immersive experiences on an infinite screen.
60. And we shared a sneak peek at how Gemini will work on glasses with Android XR in real-world scenarios, including messaging friends, making appointments, asking for turn-by-turn directions, taking photos and more.
61. We even demoed live language translation between two people, showing the potential for these glasses to break down language barriers.
62. Android XR prototype glasses are now in the hands of trusted testers, who are helping us make sure we’re building a truly assistive product and doing so in a way that respects privacy for you and those around you.
63. Plus we’re partnering with innovative eyewear brands, starting with Gentle Monster and Warby Parker, to create glasses with Android XR that you’ll want to wear all day.
64. We’re advancing our partnership with Samsung to go beyond headsets and extend Android XR to glasses. Together we’re creating a software and reference hardware platform that will enable the ecosystem to make great glasses. Developers will be able to start building for this platform later this year.
65. A few years ago, we introduced Project Starline, a research project that enabled remote conversations that used 3D video technology to make it feel like two people were in the same room. Now, it’s evolving into a new platform called Google Beam.
66. We’re working with Zoom and HP to bring the first Google Beam devices to market with select customers later this year. We’re also partnering with industry leaders like Zoom, Diversified and AVI-SPL to bring Google Beam to businesses and organizations worldwide.
67. You’ll even see the first Google Beam products from HP at InfoComm in a few weeks.
68. We announced speech translation, which is available now in Google Meet. This translation feature not only happens in near real-time, thanks to Google AI, but it’s able to maintain the quality, tone, and expressiveness of someone’s voice. The free-flowing conversation enables people to understand each other and feel connected, with no language barrier.
69. Over 7 million developers are building with Gemini, five times more than this time last year.
70. Gemini usage on Vertex AI is up 40 times compared to this time last year.
71. We’re releasing new previews for text-to-speech in 2.5 Pro and 2.5 Flash. These have first-of-its-kind support for multiple speakers, enabling text-to-speech with two voices via native audio out. Like Native Audio dialogue, text-to-speech is expressive, and can capture really subtle nuances, such as whispers. It works in over 24 languages and seamlessly switches between them.
72. The Live API is introducing a preview version of audio-visual input and native audio out dialogue, so you can directly build conversational experiences.
73. Try it now! Jules is a parallel, asynchronous agent for your GitHub repositories to help you improve and understand your codebase. It is now open to all developers in beta. With Jules you can delegate multiple backlog items and coding tasks at the same time, and even get an audio overview of all the recent updates to your codebase.
74. Gemma 3n is our latest fast and efficient open multimodal model that’s engineered to run smoothly on your phones, laptops, and tablets. It handles audio, text, image, and video. The initial rollout is underway on Google AI Studio and Google Cloud with plans to expand to open-source tools in the coming weeks.
75. Try it now! Google AI Studio now has a cleaner UI, integrated documentation, usage dashboards, new apps, and a new Generate Media tab to explore and experiment with our cutting-edge generative models, including Imagen, Veo and native image generation.
76. Colab will soon be a new, fully agentic experience. Simply tell Colab what you want to achieve, and watch as it takes action in your notebook, fixing errors and transforming code to help you solve hard problems faster.
77. SignGemma is an upcoming open model that translates sign language into spoken language text, (best at American Sign Language to English), enabling developers to create new apps and integrations for Deaf and Hard of Hearing users.
78. MedGemma is our most capable open model for multimodal medical text and image comprehension designed for developers to adapt and build their health applications, like analyzing medical images. MedGemma is available now for use now as part of Health AI Developer Foundations.
79. Stitch is a new AI-powered tool to generate high-quality UI designs and corresponding frontend code for desktop and mobile by using natural language descriptions or image prompts.
80. Try it now! We announced Journeys in Android Studio, which lets developers test critical user journeys using Gemini by describing test steps in natural language.
81. Version Upgrade Agent in Android Studio is coming soon to automatically update dependencies to the latest compatible version, parsing through release notes, building the project and fixing any errors.
82. We introduced new updates across the Google Pay API designed to help developers create smoother, safer, and more successful checkout experiences, including Google Pay in Android WebViews.
83. Flutter 3.32 has new features designed to accelerate development and enhance apps.
84. And we shared updates for our Agent Development Kit (ADK), the Vertex AI Agent Engine, and our Agent2Agent (A2A) protocol, which enables interactions between multiple agents.
85. Try it now! Developer Preview for Wear OS 6 introduces Material 3 Expressive and updated developer tools for Watch Faces, richer media controls and the Credential Manager for authentication.
86. Try it now! We announced that Gemini Code Assist for individuals and Gemini Code Assist for GitHub are generally available, and developers can get started in less than a minute. Gemini 2.5 now powers both the free and paid versions of Gemini Code Assist, features advanced coding performance; and helps developers excel at tasks like creating visually compelling web apps, along with code transformation and editing.
87. Here’s an example of a recent update you can explore in Gemini Code Assist: Quickly resume where you left off and jump into new directions with chat history and threads.
88. Firebase announced new features and tools to help developers build AI-powered apps more easily, including updates to the recently launched Firebase Studio and Firebase AI Logic, which enables developers to integrate AI into their apps faster.
89. We also introduced a new Google Cloud and NVIDIA developer community, a dedicated forum to connect with experts from both companies.
90. We introduced Google AI Edge Portal in private preview, a new solution from Google Cloud for testing and benchmarking on-device machine learning (ML) at scale.
91. Gmail is getting new, personalized smart replies that incorporate your own context and tone. They’ll pull from your past emails and files in your Drive to draft a response, while also matching your typical tone so your replies sound like you. Try it yourself later this year.
92. Try it now! Google Vids is now available to Google AI Pro and Ultra users.
93. Try it now! Starting today, we’re making the NotebookLM app available on Play Store and App Store, to help users take Audio Overviews on the go.
94. Also for NotebookLM, we’re bringing more flexibility to Audio Overviews, allowing you to select the ideal length for your summaries, whether you prefer a quick overview or a deeper exploration.
95. Video Overviews are coming soon to NotebookLM, helping you turn dense information like PDFs, docs, images, diagrams and key quotes into more digestible narrated overviews.
96. We even shared one of our NotebookLM notebooks with you — which included a couple of previews of Video Overviews!
97. Our new Labs experiment Sparkify helps you turn your questions into a short animated video, made possible by our latest Gemini and Veo models. These capabilities will be coming to Google products later this year, but in the meantime you can sign up for the waitlist for a chance to try it out.
98. We’re also bringing improvements based on your feedback to Learn About, an experiment in Labs where conversational AI meets your curiosity.
99. As Sundar shared in his opening keynote, people are adopting AI more than ever before. As one example: This time last year, we were processing 9.7 trillion tokens a month across our products and APIs. Now, we’re processing over 480 trillion — 50 times more.
100. Given that, it’s no wonder that the word “AI” was said 92 times during the keynote. But the amount of “AIs” we heard actually took second place — to Gemini! ♊
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Available to users 18+.
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You are here: Influencer Marketing Hub » 58 Best SEO Agencies To Help You Rank in 2024 » 15 Ways to Use ChatGPT to Boost Your SEO Strategy
In the world of AI, calling 2022 the year of ChatGPT won’t be an overstatement since the chatbot set the record for the fastest-growing user base with 100 million monthly active users only two months after its launch. Capable of generating human-like text, ChatGPT is undoubtedly a revolutionary AI tool.
Among the many things that ChatGPT can be used for is SEO. From optimizing your content to researching keywords and generating FAQs, ChatGPT can assist in many aspects of your SEO strategy. With features like file uploading and translation, ChatGPT has become even more functional, particularly for international SEO.
This AI-driven shift in SEO, as outlined in our SEO Trends Report, allows marketers to supplement their SEO tasks. But the human element cannot be ignored.
In this guide, we discuss some ways to use ChatGPT to boost your SEO strategy. We share prompts and explain how you can tweak them to get customized results.

ChatGPT is an AI chatbot that uses a transformer-based deep learning algorithm to generate human-like text. With a set of prompts or keywords from a user, ChatGPT can produce stories, essays, and expositions, as well as hold conversations almost as well as any human.
Source: openai.com
While ChatGPT wasn’t the first chatbot with natural language processing (NLP) capabilities, it is undoubtedly one of the most successful and widely used ones. The tool being free has a huge role to play in its widespread adoption.
With time, OpenAI has added more and more features to ChatGPT. For example, you can upload images and files to your prompts to make them more specific and receive highly detailed responses. You can also set the personality of your chatbot to make it more aligned with your brand’s voice.
There are plenty of Chrome extensions with different functionalities that you can incorporate into ChatGPT to make it even more dynamic. OpenAI also has a GPT Store, where you can find and use pre-trained models.
In the paid plan, ChatGPT Plus, you also get access to DALL-E, a visual language AI that can generate images from text. It also comes with ChatGPT’s Bing integration, allowing you to browse the web through the chatbot. Plus, the paid version lets you create visual elements like charts and graphs from your data.
Source: openai.com
Considering all these features, it’s no surprise that ChatGPT has become a go-to tool for many businesses to improve their SEO strategy. 
While some use cases of ChatGPT for SEO marketing are quite simple, such as generating content ideas, others require a bit more creativity. Either way, you can use ChatGPT as the starting point for your SEO efforts.
In some cases, such as content outline generation, content summarization, keyword translation, and ad copy creation, you can also rely on ChatGPT’s outputs as end results. The key is not to eliminate human input entirely.
With that in mind, here are some ways to incorporate ChatGPT into your SEO marketing strategy. 

SEO is not just about stuffing your web pages with related keywords. Search engines also analyze content in terms of reliability and relevance. For example, Google’s E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) guidelines require content to have high expertise and authority.
ChatGPT can help optimize your content by generating topic ideas around your keywords, suggesting related keywords, creating relevant questions, and even crafting meta descriptions for your web pages. Its Bing integration also allows you to search for relevant information and statistics in real-time to back up your content.
Suppose we’re writing an article about the potential of TikTok influencer marketing. Our keyword is ”TikTok influencer marketing,” which we want to include in our on-page SEO elements.
To start, you can use ChatGPT to suggest how to optimize your content. From there on, you can use these suggestions to your advantage. Here’s a simple prompt we used:
Suggest ways to optimize my article on the potential of TikTok influencer marketing.
ChatGPT optimization ideas
One of the suggestions ChatGPT gave us was comparative analysis. Instead of doing that ourselves, we can simply ask:
Can you provide any comparative analysis of TikTok influencer marketing and other social media platforms? Present the data in a table.
ChatGPT comparison table
ChatGPT created a table comparing TikTok, Instagram, and YouTube. Now, it’s up to us to either use the table as is in our content or use the pointers in it to create an in-depth comparative analysis for our article.
Another way to optimize this article would be to create a meta description for it. Again, you can put ChatGPT to work. Here’s the prompt:
Create a meta description for my article on the potential of TikTok influencer marketing.
ChatGPT meta description generation
ChatGPT generated a meta description that includes our primary keyword and is within Google’s specified character limit of 50 to 160 characters. These are just a few examples of content optimization via ChatGPT; you can further explore its capabilities to improve your content’s overall performance.
Summaries help your SEO efforts because most users will not read entire passages when researching something. So, you can use ChatGPT to add a Too Long; Didn’t Read (TLDR) summary at the top of your article or blog post.
It can also help you create featured snippets, which can improve your ranking on search engine result pages (SERPs). We already have a guide on TikTok marketing on our website. So, we used it as an example to show you how ChatGPT can summarize content.
You can either upload a text file or directly paste the content of your article in the text box to generate a summary. We used this prompt after pasting our article in ChatGPT. 
Summarize this content to create a TLDR section for our blog.
ChatGPT TLDR output
ChatGPT went through our content and created a TLDR section with the gist of our article. A summary not only helps readers get a quick understanding of the main points but also improves the chances of the article being featured as a snippet on Google.
Idea generation is among the most common use cases of AI. In a HubSpot survey, 33% of marketers said they use AI to generate ideas.
How marketers use AI
It’s quite simple to generate ideas with ChatGPT. Simply prompt it with a topic or a question, and let it generate ideas for you. Be it for a blog post, a whitepaper, or video scripts, ChatGPT can easily provide you with ideas within seconds.
For example, if your primary keyword is ”TikTok marketing,” you can ask ChatGPT to generate ideas by entering the prompt:
Generate blog post ideas for TikTok marketing.
ChatGPT idea generation
ChatGPT can also give you a writing prompt, which can be particularly helpful for overcoming writer’s block. For example, if you only have a keyword or a topic idea, you can get a writing prompt from ChatGPT to get started.
From the list of ideas that ChatGPT gave us, we selected ”How to Choose the Right TikTok Influencer for Your Brand.” We used this prompt to ask the chatbot to provide us with a writing prompt on which to base our content.
Provide a writing prompt for “How to Choose the Right TikTok Influencer for Your Brand.”
ChatGPT writing prompt
The writing prompt ChatGPT provided us covered all topics, such as engagement rates, niches, authenticity, collaborations, and so on. ChatGPT even gave us a pattern and hierarchy of information to follow in our article. 
Semantic SEO is a fairly recent development in SEO marketing, where the focus shifts from individual keywords to the meanings and topics behind keyword searches. When a user inputs a query, the search engine tries to understand the intent of the search to provide more relevant results instead of simply returning web pages that contain the search keywords.
ChatGPT helps in semantic SEO in two ways:
ChatGPT can also help you identify similar words and phrases that you can use to avoid keyword stuffing, which lowers your SEO ranking. By using synonyms and variations of keywords, you can signal to search engines that your content is relevant and useful.
For example, let’s say our primary keyword is ”ROI of TikTok influencer marketing.” We can use this prompt to gauge the search intent of our target audience.
Explain the intent behind a user’s search for “ROI of TikTok influencer marketing.” Which topics should an article cover to provide value and relevance to the user’s search?
ChatGPT output for user intent evaluation
ChatGPT explains the user intent and provides a list of topics that our article should cover. We can then go ahead and ask it to generate similar keywords and phrases by using this prompt:
What are some other relevant keywords and phrases that we can include in our article on the ROI of TikTok influencer marketing?
ChatGPT keyword research
ChatGPT provided us with a list of primary, secondary, and long-tail keywords. If you already have a list of keywords you’ve exported from Google Search Console and want to cluster them, ChatGPT can do that, too. We have a helpful guide explaining the entire process.
SEO marketing typically calls for a periodical restructuring of content to keep things up-to-date. Updated posts rank higher in search engines, so websites will need to revise while keeping their already-optimized content.
ChatGPT can paraphrase and modify your copy so that it retains effective keywords while providing new information. Suppose you reviewed a book on your blog. Now, there’s a sequel, and you want to publish a post that discusses the original book while introducing readers to the sequel.
ChatGPT can paraphrase the content from your previous post. Then, you can add new content about the new book to make the article more informative and fresh.
Even if you don’t want to add new content, you can simply repurpose the old one to add more keywords or update data. For example, we have an article on SEO services for maximum impact.
The current introduction doesn’t include the keyword ”SEO services” and rather has alternatives like ”SEO solutions” and SEO packages.” We want to update it to include our primary keyword without sounding repetitive.
Current introduction
We can use ChatGPT to rephrase the introduction, adding ”SEO services” to it without making any drastic changes to the original content. A simple prompt like this can do the trick:
Paraphrase this content and include ”SEO services” in the first sentence.
ChatGPT paraphrasing
ChatGPT rephrased the content for us and included our desired keyword. If you’re not satisfied with the first result, you can simply keep prompting ChatGPT until you get the desired outcome.
Another way to use ChatGPT for SEO is by researching keywords. ChatGPT can generate a list of related keywords and phrases based on your input.
For example, if our keyword is ”ChatGPT SEO,” we can use this prompt to generate a list of related keywords:
Generate a list of SEO-related keywords and phrases for ”ChatGPT SEO”.
ChatGPT keyword generation
Similarly, if you want to use question-based keywords, you can prompt ChatGPT to provide you with these keywords. Simply tweak the prompt to ask for questions related to your topic, such as:
Generate a list of question-based SEO keywords and phrases for ”ChatGPT SEO”.
ChatGPT keyword generation
You can use these keywords in headers for content optimization.
While there are plenty of link-building tools to help you, ChatGPT can also be utilized to augment your campaigns. You can ask ChatGPT for some of the best practices on link building, provide you with information on strategies for effective link-building campaigns, and even improve your backlink analysis. 
Here’s a simple prompt to use:
Provide me with some tips to improve my link-building strategy.
ChatGPT link-building strategies
According to ChatGPT, one of the strategies for link-building is guest blogging. You can get ChatGPT’s help to find guest blogging opportunities by asking for them in your prompt.
Can you suggest some opportunities for guest blogging for my article on TikTok influencer marketing?
ChatGPT guest blogging ideas
ChatGPT provides suggestions with actual blog names for guest blogging, making it easier for you to reach out and collaborate with relevant blogs.
Translating content and keywords can help promote your website in other locations and languages, which is significant if you are targeting a global audience.
Even if you are located in a limited geographical area, there might be second or third languages spoken among your target market that would make it sensible to include translations for better SEO.
Suppose you’re reaching your Canadian audience in Quebec, primarily the French speakers. You have two versions of your website: English and French.
ChatGPT can help you translate English keywords into French to improve your website’s visibility for your French-speaking audience in Quebec. Here’s the prompt you can use:
Translate the following keywords into French.
ChatGPT translation
Simply paste the list of keywords or upload a spreadsheet with your keyword list, and ChatGPT will provide you with the French translation for each keyword. 
As we’ve already discussed earlier, title tags and meta descriptions are important elements of on-page SEO. While the title tag helps with ranking, the meta description serves as the first impression of your website to potential visitors.
Although Google does not factor in meta descriptions for rankings, it can increase your click-through rates if it is written well. ChatGPT can create both of these elements for your website.
For example, if you want to write an article on “ChatGPT SEO,” you can use the following prompt to generate a title tag and meta description:
Generate a title tag and meta description for an article on ChatGPT SEO strategies. Provide three variations.
ChatGPT meta title and meta description generation
ChatGPT will provide you with a list of options, and from there, you can choose the one that best fits your needs.
Unless you’ve been in the same business for a long time, it’s hard to come up with true, frequently asked questions by yourself. ChatGPT can sift through volumes of content online and give you the most frequently searched questions related to your industry or product and service range.
It can even answer these questions for you or provide a list of possible answers that you can choose from. An FAQ section can improve your article’s ranking by increasing your content’s chance of appearing in the People Also Ask (PAA) box on Google search results.
For the article on ChatGPT SEO, you can use this prompt to generate some FAQs:
Generate 5 FAQs related to ChatGPT SEO strategies.
ChatGPT FAQs generation
As you can see, ChatGPT also answers these questions. If you’re not satisfied, you can ask the tool to regenerate the answer. HubSpot data shows that over half the marketers get their desired results with three prompts. So, you shouldn’t hesitate to use multiple prompts to get the best possible outcome.
Number of prompts marketers use to get desired results
You can use ChatGPT to create customized copy for each of your customer segments. With the right prompts, you can generate several versions of your own witty and creative ad copy that will best serve different buyer personas.
You can also specify the keywords you want to be included in the copy, and ChatGPT will make sure it uses them within the generated text. For a more personalized approach, you can even use customer data such as demographics or purchase history to generate ad copy that specifically targets each individual customer.
For example, if your customer has previously purchased a product from your brand, ChatGPT can generate an ad copy that highlights this and suggests complementary products or upsells. Here’s what that prompt would look like:
Generate ad copy targeting a customer who has previously purchased from our brand. We sell athleisure products, such as leggings, sports bras, and tank tops.
ChatGPT ad copy generation
Just like ad copy, ChatGPT can also write compelling content for your website’s landing pages. You can also include call-to-action (CTA) prompts to encourage visitors to take action and convert into leads or customers.
Here are some examples of prompts you can use:
ChatGPT CTA generation
Make sure you provide enough information about your brand or product. The more detailed the prompt, the more specific and relevant the generated content will be. You can also provide multiple prompts to get a variety of options for your landing page copy and CTAs.
Product and service descriptions help improve eCommerce SEO by providing more information about your offerings. You can use ChatGPT to create product and service descriptions that illustrate your catalog while utilizing appropriate keywords to appear in searches.
Suppose you’re a personal loan provider, and you want to create a service description for your website. If you have a file containing all the information about your services, you can upload it and ask ChatGPT to create a short description for your website.
The same works for products, too. Alternatively, you can provide some pointers about your product and create a product description.
Let’s say you sell floating shelves. Your shelves are made of bamboo and come in various sizes. You can provide this information to ChatGPT and ask it to generate a product description for your website.
ChatGPT product description generation
When it comes to SEO strategy, newsletters don’t have much of a direct impact on your search rankings. However, link building does, and email newsletters are an excellent way to obtain more backlinks to your website by distributing your content to customers.
Sticking to our personal loan provider example, here’s a prompt you can give ChatGPT:
We’ve recently launched a newsletter to keep our customers updated about the latest offers and news from our company. Our target audience is individuals looking for personal loans with good credit scores. Generate some newsletter templates that we can use to distribute our content.
ChatGPT newsletter template idea
You can then couple these newsletter templates with personalized content generated by ChatGPT to create engaging newsletters for your subscribers. According to 43% of marketers, the most effective strategy for making AI prompts work is to use follow-up prompts to expand on the previous ones. You can do exactly that with these templates. 
Most effective strategies for promoting gen AI
Last but not least, ChatGPT can also assist you in analyzing analytics reports. Suppose you used a tool to get social media analytics for your business, and you want to understand the data better.
Upload your analytics data to ChatGPT in a spreadsheet form. Then, ask questions about your findings. For example, you can ask, “What is the general sentiment of our social media followers?”
ChatGPT will answer your questions based on the data you provided. The Plus plan also creates graphs and visual representations of your data, making it easier to interpret and share with your team. Alternatively, you can use a pre-trained model from the GPT store. 
Dr. Graph is a GPT that creates charts and graphs based on the data you provide in ChatGPT. We used a subsection from our Influencer Marketing Benchmark Report to create pie charts for the most popular Instagram and Facebook post types. 
Subsection of our report
ChatGPT did a splendid job of creating pie charts to show this data visually. You can always go ahead and change the colors or chart type. 
ChatGPT pie chart creation
We’ve seen how powerful ChatGPT’s functionalities are. It can write entire paragraphs, summarize reports, provide insight, and process data. However, it goes without saying that human touch is still necessary despite ChatGPT’s advanced capabilities. 
When using ChatGPT for SEO, we recommend using it as a tool to assist with content creation and optimization rather than relying solely on its outputs. For more personalized results, you can train the AI with specific industry-related data and terminology. More importantly, always double-check the tool’s outputs.
ChatGPT is prone to biases, and that’s the last thing you want your customers to see. Use a human-ChatGPT coalition in your SEO marketing for the best results. 
ChatGPT can help you generate specific keywords and phrases for your local business. You can also use it to generate location-based content, such as city or neighborhood-specific guides and blogs.
While ChatGPT itself cannot create backlinks, it can provide suggestions for high-quality and relevant content that has a higher chance of getting backlinked by other websites.
ChatGPT has plenty of use cases for improving SEO, such as generating relevant keywords and topics, providing content ideas for blog posts, creating product descriptions, writing newsletters, and optimizing FAQs to increase the chances of appearing in Google’s PAA box.
ChatGPT is not a replacement for traditional SEO tools, but it can be used in addition to them to enhance and streamline the content creation process.
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Ahrefs Review: Is It the Ultimate SEO Tool for 2025?  Exploding Topics
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Search is still the cornerstone of digital advertising, but only adaptive brands will thrive in the face of constant algorithm shifts and rising competition
The digital advertising market is thriving, up 11% to £29.6bn in 2023, according to the latest report from the IAB. Search (PPC and SEO) remains the backbone of the industry, accounting for nearly half of that total, at £14.7bn.
Despite these strong numbers, search is at a pivotal moment. The landscape is changing rapidly and advertisers cannot afford to be complacent. To continue driving results, it’s essential to reassess and optimise search strategies.
The current challenge
Accountability for marketing spend has always been important, but with advanced analytics, every penny is scrutinised like never before. The pressure to optimise ROI has led many brands to chase quick wins, often overinvesting in paid acquisition. While paid channels have proven effective, rising costs are causing diminishing returns.
To demonstrate short-term success, some marketers are focusing on immediate results rather than long-term strategies. But short-term gains aren’t always sustainable, and this approach can lead to missed opportunities for long-term value.

A changing landscape
Advertisers face a search landscape that is constantly shifting. Google’s algorithm changes are unpredictable, and new updates – such as AI Overviews – are making the rules of search more complex. Brands that once focused solely on the three pillars of SEO – technical performance, content and authority – are finding it harder to keep up. Recent Google updates have forced brands to rethink their content strategies to stay competitive.
Regulatory changes, such as the EU’s Digital Markets Act, also complicate the landscape. Designed to limit the power of major digital platforms, these regulations are impacting how advertisers approach search.
At the same time, customer behaviour is becoming more fragmented. Consumers move through increasingly complex paths to purchase, with more touchpoints across channels such as social media, influencers and TikTok Search. This creates new challenges – and opportunities – for search marketers.
The case for SEO
SEO, though often overlooked, remains a vital but underutilised channel. Many marketers still view it as something that should be cheaper or even free. But successful SEO takes time. A well-crafted SEO strategy doesn’t yield immediate results; it grows and matures over time, delivering significant long-term value. Yet, adjusting strategies quickly to keep up with search trends requires patience and persistence.
Why search still matters
But, with the right strategic approach, search remains an essential element of the marketing mix. It can deliver huge brand value and long-term results, especially for smaller brands, helping them punch above their weight. 
But, content strategies need to change and SEO professionals must adopt a critical mindset to stay ahead of Google’s continuously changing narrative.
Traditional SEO tactics still matter. Brands still need to focus on technical search, content and authority, but the way they deliver results has evolved. 
Because Google has honed its algorithms to drive the best experience for users, it is even more important to look at content and authority. Brands must think about where the audience is in the customer journey from research to purchase. That means considering basics such as what the customer is looking for on the web page and how that experience can be delivered better, such as by organising product information in a way that users want.
Aligning SEO and brand strategy
Algorithm updates have highlighted the need to integrate brand-building efforts into SEO strategies. Combining SEO with PR, social media, and influencer marketing can strengthen a brand’s credibility and trustworthiness, which are crucial for search success.
SEO and branding strategies must work hand-in-hand. This integration ensures brands don’t lose the valuable search presence they’ve spent years building. Pairing SEO with a solid digital and technology strategy is essential to maintaining a competitive edge.
Search has been a cornerstone of digital marketing for years, yet it’s easy to overlook in the rush to adopt newer, flashier channels. The continued dominance of search in digital advertising spend shows that it remains an invaluable tool for marketers.
To succeed, brands must keep a close eye on evolving search trends, continuously test new approaches, and stay vigilant in this dynamic environment. Adaptation is key, and search strategies must evolve to meet the needs of today’s market.
To learn more about digital performance, visit IDHL online

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