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EpicEdits, a digital marketing agency based in London, has just released a new blog post titled “AI Powered SEO Strategies: Boost Your LLM Rankings Now.” This comes after Google’s June 2025 Core Update and the introduction of AI summaries in Google Discover, which has significantly impacted web traffic. Some publishers have seen their numbers drop by up to 40%.
The post was crafted by Jacob Milner, the founder of EpicEdits and a former Royal Marines Commando. With his extensive SEO knowledge, he’s created what is being called the first detailed guide for travel and luxury-jet brands. This aims to help these sectors regain online visibility lost due to Google’s recent algorithm changes. Supported by proprietary case-study data, early users of the guide’s strategies are reporting a 35–50% increase in organic traffic and a 20% rise in enquiry rates within three to six months. For those interested in enhancing their business’s search rankings, EpicEdits provides a comprehensive portfolio of SEO services such as specialised SEO strategies, technical audits, keyword research, on-page optimisation, content strategy, link building, local SEO, and detailed monthly reporting, all of which can be explored further through their dedicated SEO services offering.

“This blog post comes at a crucial time as the £1 trillion global travel market prepares for its peak booking season,” said Jacob Milner. “We’re committed to offering insights that do more than scratch the surface, turning into real-world results for our clients in the luxury travel sector, especially those seeking Travel SEO Services.”
The blog features a step-by-step checklist to integrate AI and LLM techniques into SEO campaigns. It includes travel-specific examples aimed at private-jet brokers, luxury tour operators, and yacht charter companies. These examples provide actionable guidelines for creating prompts, adjusting schema, and using authority-driven PR to improve search visibility. The insights target those interested in implementing AI Powered SEO Strategies to boost their online presence.
EpicEdits aims to both inform and engage its audience. The post includes a call-to-action, urging readers to delve into the content and then schedule a complimentary strategy session. This aims to offer custom insights tailored to each business’s specific goals and challenges.
Milner commented, “In an industry that’s always changing due to advancements like AI, businesses need to adapt fast. This guide helps them do just that. We’re dedicated to breaking down complex SEO strategies into easy-to-understand and actionable steps.”
EpicEdits is well-known for its SEO expertise in the luxury travel industry. Led by Jacob Milner, the team uses data science combined with storytelling-driven digital PR to turn online visibility into valuable bookings. Their services range from Technical SEO and Link Building to specialised areas like Luxury Travel SEO, Travel SEO Services, and Private Jet SEO Services.
Since its launch, the company has earned a reputation for delivering measurable results without tying clients into long-term contracts. Their approach emphasises flexibility, transparency, and detailed reporting—qualities that are especially attractive to industries that need adaptable service delivery, such as luxury travel and private aviation.
EpicEdits is also moving ahead by integrating new AI technologies within its services. With the luxury travel sector’s unique needs in mind, the agency is focused on adapting to and leveraging changes spearheaded by Google and other search engines, keeping their clients at the forefront of search rankings. You can explore more on how EpicEdits integrates AI with its wide array of services including Google PPC, web design, content marketing, and social media marketing, showcasing their vast expertise and innovation in the digital marketing landscape on their website.
Plans are in motion to distribute this blog post to media and industry outlets in the UK, US, and UAE. These regions have a strong presence in SEO, digital marketing, private jet, and luxury travel sectors, making them ideal targets for EpicEdits’ advanced insights.
For more information on EpicEdits and the new guide, interested individuals can visit their website or contact Jacob Milner directly at info@epicedits.co.uk.
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IIT Roorkee has announced the launch of a new postgraduate certification course in AI-enabled Digital Marketing and MarTech, in collaboration with edtech firm Futurense Technologies.
This six-month programme is being touted as India’s first full-stack, no-code AI marketing certification tailored specifically for working professionals.
It is set to commence from October 11, 2025, and will be delivered in a weekend-only online format.

One of the key highlights of this course is that it does not require prior coding experience.
To bridge the knowledge gap, participants will first undergo a Futurense Bridge Course, a pre-course foundation module that introduces prompt engineering, no-code AI workflows, and integration tools essential for modern marketing.
On successful completion, learners will receive a certificate jointly issued by IIT Roorkee and Futurense. There is also an optional two-day on-campus immersion at IIT Roorkee for additional experiential learning.

The programme is designed to empower professionals with the ability to design and deploy AI-driven marketing systems. These include tools for customer relationship management (CRM), analytics, automation, and content generation.
Participants will be trained on more than 30 AI tools, such as ChatGPT, Claude, Jasper, Segment, HubSpot, Canva AI, Google Analytics 4, and Looker Studio.
In addition to coursework, learners will participate in live AI clinics, tackle real brand briefs, and develop capstone projects to demonstrate their applied skills.

According to IIT Roorkee, this course comes in response to the growing integration of AI in digital marketing, where over 88% of marketers reportedly use GenAI tools but fewer than 10% apply them across the full marketing funnel.
Emerging job roles such as AI Content Strategist and MarTech Architect are growing annually at a rate of 15-22%, reflecting the strong demand for professionals who can implement cross-platform, real-time AI-powered marketing campaigns.

The course is open to digital marketers, content creators, product managers, entrepreneurs, and marketing consultants. The programme includes over 120 hours of live instruction, industry mentorship, and project-based learning.
The course fee is Rs 1.40 lakh plus GST. Learners will complete live weekend classes, hands-on assignments, and a final capstone project.

IIT Roorkee has announced the launch of a new postgraduate certification course in AI-enabled Digital Marketing and MarTech, in collaboration with edtech firm Futurense Technologies.
This six-month programme is being touted as India’s first full-stack, no-code AI marketing certification tailored specifically for working professionals.
It is set to commence from October 11, 2025, and will be delivered in a weekend-only online format.

One of the key highlights of this course is that it does not require prior coding experience.
To bridge the knowledge gap, participants will first undergo a Futurense Bridge Course, a pre-course foundation module that introduces prompt engineering, no-code AI workflows, and integration tools essential for modern marketing.
On successful completion, learners will receive a certificate jointly issued by IIT Roorkee and Futurense. There is also an optional two-day on-campus immersion at IIT Roorkee for additional experiential learning.

The programme is designed to empower professionals with the ability to design and deploy AI-driven marketing systems. These include tools for customer relationship management (CRM), analytics, automation, and content generation.
Participants will be trained on more than 30 AI tools, such as ChatGPT, Claude, Jasper, Segment, HubSpot, Canva AI, Google Analytics 4, and Looker Studio.
In addition to coursework, learners will participate in live AI clinics, tackle real brand briefs, and develop capstone projects to demonstrate their applied skills.

According to IIT Roorkee, this course comes in response to the growing integration of AI in digital marketing, where over 88% of marketers reportedly use GenAI tools but fewer than 10% apply them across the full marketing funnel.
Emerging job roles such as AI Content Strategist and MarTech Architect are growing annually at a rate of 15-22%, reflecting the strong demand for professionals who can implement cross-platform, real-time AI-powered marketing campaigns.

The course is open to digital marketers, content creators, product managers, entrepreneurs, and marketing consultants. The programme includes over 120 hours of live instruction, industry mentorship, and project-based learning.
The course fee is Rs 1.40 lakh plus GST. Learners will complete live weekend classes, hands-on assignments, and a final capstone project.

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Written byby Raegan Hedley
Published on January 31, 2025
Reading time 7 minutes
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Artificial intelligence (AI) is supercharging social media marketing. Think of AI social media tools like Sprout Social as your marketing pit crew. They can fine-tune your social media engine, swap out tired tactics and keep you running at peak performance—they just can’t drive the car. The AI in social media examples we’re sharing in this article come from brands with a skilled driver and a solid race strategy to help them win.
AI and automation have arrived to help free up time and open up new creative possibilities. Just in time, too: According to The Social Media Productivity Report, 63% of social media marketers are feeling burnt out. AI is accelerating everything from content creation to trendspotting to reporting, and these examples are the tip of the iceberg. More brands are finding creative ways to use AI in marketing every day.
Find out how AI can enhance your social media marketing, and check out the AI in social media examples below to see how brands are using AI to stay ahead of competitors.
Looking forward, AI will play a significant role in the future of social media. A recent Sprout Pulse Survey found that 82% of marketers who are using AI and ML tools in their workflow have already seen positive results. And according to The 2023 State of Social Media Report, 93% of business leaders expect to invest more in AI and ML technology for marketing over the next three years. AI social media tools offer brands a way to stay competitive and raise their content and customer experience standards.
Not sure where to start with adding AI to your social media strategy? Our AI marketing toolkit has ready-to-use templates, practical tips and strategies to help you confidently implement AI and future-proof your marketing efforts.
Get the AI Marketing Toolkit
To put the speed of AI uptake in perspective, the US adopted gen AI faster than personal computers and the internet. Marketers love it because it can generate personalized replies, ideas, captions, videos and images in a few clicks. To stay competitive in today’s marketplace, you need to explore how to use AI for social media beyond content creation.
Using AI in social media can help brands grow their engagement, better manage social media, provide personalized customer care, improve ads, analyze data faster and scale social media marketing strategies. It turns data into actionable insights and makes workflows smoother. As more brands use AI, social media marketing standards will keep rising, and brands will find new ways to stay ahead using AI tools.
AI gives you access to valuable information, but it’s how you use it to improve your social media marketing that counts. Let’s look at some AI in social media examples to see how brands use AI to their advantage.
Global brands need a head start if they’re going to respond to social media microtrends (conversations that dominate social platforms for three days, max).
Mastercard built a digital marketing engine to monitor conversations across social media and identify microtrends before they go mainstream. The technology helps Mastercard target relevant trends by cross-referencing them with specific approved topics. If it’s a good fit for MasterCard, AI will notify the marketing team, and if they want to participate, the brand taps in with pre-made social media posts and targeted ads.

You too can use features like listening spike alerts and industry themes in Sprout to get notified of micro-trends and respond to them before they pass.
During the COVID-19 pandemic, Chipotle used AI to track shifts in customer sentiment and behavior on social media. According to Forbes, the brand used these analytics to inform its marketing, customer service, food safety practices and more. It enabled Chipotle to change its messaging in response to what was happening, which meant talking about free delivery and employee and guest safety.
Using sentiment analysis also led to successful campaigns like #ChipotleTogether, where Chipotle got celebrities like Colton Underwood (The Bachelor) and Kaskade to host lunch parties and gave away free burritos.

Mercedes-Benz launched an out-of-the-box, localized campaign at their headquarters in Poland to promote their new T-Class vehicle. Called “The moody colors of Poland,” the campaign was aimed at encouraging people to be in tune with their emotions, and showed they could match their mood to the color of the T-Class interior that came in all eight ambient lighting shades (happiness was yellow, relaxation was green, etc.).
The company used an AI tool to identify and gather Polish social media posts on Facebook, Instagram, Twitter and blogs via emotion-focused keywords and hashtags (#joy, #love, #sadness, etc.).
Based on how its Polish audience was feeling online the previous day, the lighting on one of the floors of their headquarters building, billboard and a special outdoor display featuring the T-Class would change.

The campaign received many accolades and is an example of how AI insights from social media can directly plug into your marketing campaigns to make them more creative and strategic.
Louis Vuitton uses sentiment analysis to stay on top of sensitive and problematic content. The brand assesses over 250,000 messages a month on social media. When it comes to sensitive topics like cultural appropriation or animal welfare, the brand gets notified when they are mentioned. Additionally, when user-generated content is considered “toxic,” the AI automatically removes the content, protecting the brand’s integrity and ensuring the safety of its online spaces.
Brands that work in heavily regulated industries, like Vanguard Institutional, need guardrails to ensure they’re staying compliant on social media. This is why the brand turned to AI to experiment with its messaging on LinkedIn.
They tested multiple versions of messages, analyzed the components and identified the most effective phrases for the audience. This enabled the brand to refine the social media posts it puts out on LinkedIn and create personalized content that customers are more likely to engage with.

Use this strategy to strengthen your own social ROI. With Sprout, you can use our generative AI tools to create and test different captions on social media, using reporting tools to identify what drives the best engagement.
As the NFL brand expands beyond the US, it’s experimenting with AI to make its marketing and fan experiences more engaging and authentic. The brand is working to create an AI to scale and personalize content. It wants to generate copy in multiple languages, change out creative based on the channel or location and personalize IRL experiences using AI.
For example, if a player is more popular in the US, the NFL would use that person’s image in ads and on social media, but if Germany prefers a different player, its AI solution would be able to translate the copy and swap out the image or video.
If we’re looking at AI in social media examples, we can’t overlook our own case study. Adopting AI in our processes has been part of building a culture of AI.
Our AI tools have helped our team be more productive, refined our brand voice and kept us ahead of social media trends. It’s helped our social team save 72 hours/quarter and $16,000 annually in reporting. We’re working smarter and delivering high-quality content with assistance from AI.
Sprout’s AI Assist is like a social media assistant that spots patterns, simplifies tasks and helps us brainstorm when we’re stuck. These tools enable us to auto-schedule content based on performance insights and select the best times to post for engagement, and do much more, so we’re able to spend less time on manual tasks and more time creating meaningful connections.
Here’s how we’re using AI to drive better business results.



By integrating AI Assist, we’re saving time and creating better content and experiences for our audience.
These AI in social media examples prove that when you use AI for more than content creation, you can discover new levels of efficiency, creativity and audience engagement. From simplifying workflows to delivering data-driven insights, AI tools empower brands to make smarter decisions, faster. Brands that adopt AI early and find new ways to harness it will lead in 2025.
If you want to create your own AI social media marketing strategy, download our AI Marketing Resources Toolkit to learn how.
 
Raegan Hedley
Raegan Hedley is a professional writer and editor, and the creator of Gold-Standard Writing Guidelines, a service that helps brands create writing and communication guidelines. When she’s not writing, you can probably find her teaching a spin class.
Read all articles by Raegan Hedley
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Video summaries join audio overviews as Google expands AI-powered content creation capabilities for researchers and teams.
Google introduced Video Overviews for NotebookLM on July 29, 2025, expanding its artificial intelligence research assistant beyond audio-only content summaries. The new feature creates narrated slides that combine visuals with spoken explanations, according to the company’s announcement. A redesigned Studio panel accompanies the video capability, enabling users to generate multiple outputs of the same type within individual notebooks.
Video Overviews represent the first visual format in NotebookLM’s multimedia expansion strategy. According to Shan Wang, Senior UX Designer at Google, the feature functions as “a visual alternative to Audio Overviews.” The AI system generates new visuals while incorporating images, diagrams, quotes and numerical data from uploaded documents. This approach targets complex concepts requiring visual explanation, particularly data visualization, process demonstration and abstract concept clarification.
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The customization options mirror existing Audio Overview controls. Users can specify focus topics, learning objectives, target audiences and expertise levels through detailed prompts. Generic requests such as “I know nothing about this topic; help me understand the diagrams in the paper” work alongside specialized instructions like “I’m already an expert on X and my team works on Y; focus on Z.” English language support launches immediately, with additional languages planned for future releases.
NotebookLM’s Studio panel underwent comprehensive redesigning to accommodate multiple content formats simultaneously. The updated interface displays four distinct tiles for creating Audio Overviews, Video Overviews, Mind Maps and Reports. Previously, users could generate only one output per type within each notebook, limiting content variety and team collaboration possibilities.
Multi-output capability unlocks several organizational use cases. Public notebook creators can develop Audio Overviews in different languages for global accessibility. Team environments benefit from role-specific Audio and Video Overviews tailored to department needs, reducing preparation time across organizations. Educational applications include chapter-focused Mind Maps or Video Overviews covering different course sections for comprehensive exam preparation.
The Studio’s multitasking functionality enables simultaneous content consumption. Users can listen to Audio Overviews while exploring Mind Maps or reviewing Study Guides within the same interface. This concurrent access supports diverse learning preferences and workflow requirements across professional and academic environments.
Technical implementation leverages Google’s Gemini 1.5 AI model for multimodal content processing. The system analyzes uploaded documents, presentations, and media files to extract relevant visual elements for integration into Video Overview slides. Processing capabilities extend beyond text analysis to include diagram interpretation, data visualization and multimedia content synthesis.
Document format compatibility encompasses PDF files, Google Docs, Google Slides, and web pages. The platform supports YouTube URL integration and maintains citation accuracy for source attribution. These technical specifications align with NotebookLM’s research-focused positioning, emphasizing verifiable information sources over general conversational AI interactions.
Enterprise adoption has accelerated since NotebookLM removed its “Experimental” label in October 2024. According to Steven Johnson, Editorial Director at Google Labs, over 80,000 organizations currently utilize the platform. The Business version, available through Google Workspace, provides enhanced security features, administrative controls and capacity increases targeting institutional customers.
Data privacy protocols maintain strict separation between user content and AI model training processes. Organizational data remains accessible only to designated users, addressing enterprise concerns about proprietary information exposure through AI platform usage. These privacy commitments support adoption among organizations requiring AI assistance while maintaining information governance compliance.
The video feature launch occurs within Google’s broader AI integration strategy across its product portfolio. NotebookLM mobile applications launched in May 2025, introducing iOS and Android versions with offline capabilities. Premium tier NotebookLM Plus arrived in December 2024, providing enhanced capacity limits and enterprise-grade features for business customers.
Marketing teams represent a significant user segment for the enhanced Studio capabilities. Content creation workflows benefit from multiple output generation, enabling team members to produce Audio Overviews for podcast-style content, Video Overviews for presentation materials, and Mind Maps for strategic planning sessions. The ability to create role-specific summaries addresses different stakeholder information needs within marketing organizations.
Competitive positioning emphasizes source-grounded responses and citation accuracy over general-purpose AI assistant capabilities. This research integrity focus targets professionals requiring verifiable information sources rather than conversational AI interactions. The Google ecosystem integration provides workflow advantages for organizations utilizing Google Workspace, reducing friction for users managing research within established productivity environments.
International deployment follows Google’s standard localization approach, beginning with English-language markets before expanding to additional regions. The gradual rollout strategy enables user feedback collection and system optimization before broader availability. Technical limitations exist in the current implementation, with the company actively soliciting improvement suggestions through its Discord community channel.
The video capability addresses content consumption preferences across diverse professional and educational contexts. Visual learners benefit from diagram-rich presentations, while audio-focused users can maintain existing workflow patterns. This multi-modal approach supports inclusive design principles, accommodating different accessibility requirements and learning styles within team environments.
Development timeline suggests continued innovation throughout 2025, building upon the platform’s evolution from experimental tool to enterprise-ready research assistant. Featured notebooks launched in July 2025, providing professionally curated content from organizations like The Economist and Oxford University projects. These partnerships establish NotebookLM as a professional research platform rather than experimental AI demonstration.
Future development priorities include additional Video Overview formats beyond narrated slides. The company indicated plans for format expansion as the feature develops further, suggesting presentations, interactive content or specialized industry templates. This roadmap aligns with enterprise customer requirements for diverse content creation capabilities within unified research environments.
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Who: Google developed Video Overviews for NotebookLM, with contributions from Senior UX Designer Shan Wang and Software Engineer Usama Bin Shafqat.
What: Video Overviews generate narrated slides combining visuals with spoken explanations, while the redesigned Studio panel enables multiple output creation within individual notebooks.
When: The features launched on July 29, 2025, with English language support available immediately and additional languages planned for future releases.
Where: The update rolls out globally to all NotebookLM users through the web-based platform, with future mobile application integration planned.
Why: The development addresses user requests for visual content creation capabilities while supporting diverse learning preferences and team collaboration requirements across professional and educational environments.
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NotebookLM: Google’s artificial intelligence research assistant designed for document analysis and content synthesis. The platform processes uploaded materials including PDFs, web pages, and multimedia files to generate summaries, answer questions, and create various output formats. Built on Google’s Gemini 1.5 AI model, NotebookLM emphasizes source-grounded responses and citation accuracy, distinguishing it from general-purpose conversational AI tools.
Video Overviews: The newest multimedia feature enabling AI-generated narrated slide presentations. These visual summaries combine spoken explanations with graphics, diagrams, and data extracted from uploaded documents. Video Overviews serve as visual alternatives to existing Audio Overviews, particularly effective for explaining complex data, demonstrating processes, and making abstract concepts more accessible through visual representation.
Studio Panel: The redesigned interface controlling content generation within NotebookLM notebooks. The updated Studio displays four distinct creation tiles for Audio Overviews, Video Overviews, Mind Maps, and Reports. This interface upgrade enables multiple output generation of the same type within individual notebooks, supporting diverse team collaboration needs and comprehensive content creation workflows.
Audio Overviews: AI-generated spoken summaries that convert complex written material into conversational podcast-style discussions. These features allow customization through user prompts specifying focus areas, expertise levels, and target audiences. Audio Overviews support offline playback through mobile applications and enable multitasking while consuming other notebook content simultaneously.
Google Workspace: The enterprise productivity suite integrating NotebookLM Business for organizational customers. This integration provides enhanced security features, administrative controls, and capacity increases targeting institutional users. Google Workspace compatibility reduces workflow friction for organizations already utilizing Google’s productivity ecosystem, including Docs, Slides, and Drive integration.
Gemini 1.5: Google’s advanced AI model powering NotebookLM’s multimodal content processing capabilities. This technology enables document analysis, visual element extraction, and multimedia content synthesis across various input formats. Gemini 1.5 supports the platform’s research integrity focus through source-grounded responses and accurate citation generation for professional applications.
Enterprise Features: Business-focused capabilities including enhanced security protocols, administrative controls, and expanded capacity limits. These features address organizational requirements for team collaboration, data privacy, and scalable deployment across departments. Enterprise functionality targets sales teams, marketing departments, educational institutions, and other professional environments requiring AI-powered research assistance.
Mind Maps: Visual organization tools converting complex information into structured diagrams showing relationships between concepts. NotebookLM generates these outputs automatically from uploaded documents, helping users understand hierarchical information structures and conceptual connections. Mind Maps complement other output formats by providing spatial representation of document content and supporting visual learning preferences.
Mobile Applications: iOS and Android versions of NotebookLM launched in May 2025, extending platform capabilities to mobile devices. These applications support offline Audio Overview playback, cross-platform content sharing, and field research integration. Mobile functionality enables team members to capture research materials during conferences, client meetings, or field work for immediate integration into shared notebooks.
Citation Accuracy: The platform’s commitment to providing verifiable source attribution for all generated content. This research integrity focus ensures users can trace information back to original documents, supporting academic and professional applications requiring source verification. Citation accuracy differentiates NotebookLM from general conversational AI tools by maintaining transparency about information sources and supporting fact-checking requirements.

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