Gemini SEO: How to Rank on Google Gemini in 2026

freepik a closeup shot of a circuit board with the letters 64024

The “Blue Link” is dead.

If you’re still checking your Google Search Console and obsessing over whether you’re #1 or #3 for a specific keyword, you’re measuring the height of a sinking ship. In early 2026, the digital marketing world hit a collective wall. Recent data shows that click-through rates (CTR) for traditional organic search results have plummeted by over 50% in just six months.

Why? Because Google Gemini doesn’t want your users to leave.

With the introduction of the “See More” redirect, Google has effectively moved the goalposts. When a user clicks for more info, they aren’t sent to your website – they are pushed deeper into AI Mode, a high-speed, conversational interface where Gemini summarizes your content, answers the user’s follow-up questions, and even completes the purchase for them.

For businesses trying to stay visible in this rapidly changing search environment, working with an experienced SEO agency in London has become increasingly important. Modern SEO strategies are no longer only about ranking pages but about ensuring your brand becomes a trusted source that AI systems reference.

Welcome to the era of Zero-Click Authority. If you aren’t the source Gemini cites, you don’t exist.

The New Reality: Data Points for 2026

We are no longer optimizing for humans who scroll; we are optimizing for LLMs (Large Language Models) that synthesize. To survive, you need to ditch “Rankings” and start tracking Model Citation Rate (MCR).

The 2026 Benchmarks

Model Citation Rate (MCR): This is your new North Star. It measures how often Gemini (or GPT-5) pulls your brand as the primary factual source in an AI response. A “Good” MCR in 2026 is 12% or higher for your niche.
Gemini 3 Flash vs. GPT-5: Our internal testing shows a massive divergence. Gemini 3 Flash favors “ecosystem signals” (YouTube, Google Maps, Chrome history), while GPT-5 leans heavily on “Direct Expert Attribution” (Whitepapers and deep-domain forums).
Agentic Commerce Impact: 40% of all e-commerce “searches” are now handled by AI Agents. The user says, “Gemini, find me a sustainable running shoe under $150 and buy it.” If your product isn’t formatted for Agentic Parsing, you lose the sale before the user even sees a photo.

Visualizing the “Great Crossover” where AI-generated answers became the primary click-destination over traditional organic listings.

The Core Framework: The AI Signals Framework

To rank in 2026, you need to feed the machine what it craves. We call this the AI Signals Framework. It’s not about tricking an algorithm; it’s about becoming the most “digestible” truth on the internet.

Semantic Saturation (Knowledge Clusters)

Keywords are for 2019. Gemini 3 Flash thinks in Knowledge Clusters.

If you want to rank for “New Delhi Real Estate,” you can’t just repeat the phrase. You must achieve “Semantic Saturation” – covering the air quality index of specific neighborhoods, the proximity to the new Rapid Rail corridors, and the legal nuances of the RERA Act. Gemini looks for the breadth of your expertise, not the density of your keywords.

Structured Data 3.0

Schema.org isn’t optional anymore—it’s the “API of the Web.” In 2026, we use Schema 3.0, which includes:

isVerifiedSource: A cryptographic tag linking your content to a verified human author.
agentAction: Code that tells Gemini exactly how an AI agent can interact with your pricing or booking system.

If your site isn’t “Agent-Readable,” Gemini will skip you for a competitor who is.

Multi-Platform Citation (The Reddit/YouTube Alpha)

Gemini is a “Social Searcher.” It prioritizes sources that are being discussed in real-time on high-trust platforms.

The 5x Rule: A mention on a high-upvote Reddit thread or a citation in a YouTube transcript is now 5 times more valuable for your Gemini ranking than a traditional backlink from a guest post.
Why? Because Gemini uses these as “Human Sentiment Signals” to ensure it’s not recommending “AI-slop” to its users.

Localized AI: Winning in Delhi, New York, and Beyond

Gemini’s “Near Me” logic has evolved. In 2026, it doesn’t just look at distance; it looks at Live Context.

If a user in Delhi asks, “Where should I go for lunch?” Gemini considers:

Zomato/Google Map sentiment (The last 24 hours of reviews).
Current traffic on the Outer Ring Road.
Real-time menu availability (parsed via Agentic AI).

To rank locally, your “Google Business Profile” must be updated daily, not monthly. The AI favors businesses that show “Active Life.”

The ‘Agentic’ Checklist: Your 2026 Action Plan

Stop auditing for 2026. Start optimizing for the Agent. Use this technical checklist:

Enable “AI-Readiness”: Ensure your robots.txt explicitly allows GoogleOther and Gemini-Bot to crawl your full JavaScript renders.
Deploy Knowledge Graphs: Use internal linking to create a “topic map” that even a basic LLM can map in under 50ms.
Optimize for “Query Fan-Out”: Write your headers as answers to the 5 most likely follow-up questions a user would ask Gemini.
Human-in-the-Loop Verification: Add “Expert Review” timestamps to every page. Gemini filters for “freshness” more aggressively than the old core updates ever did.
Video-to-Text Mapping: Ensure every YouTube video you produce has a timestamped, keyword-rich transcript on your site. Gemini loves cross-referencing video data with text data.

The Final Word: Be the Source, or Be Forgotten

The shift to Gemini Search isn’t a “tweak” to the algorithm; it’s a total replacement of the search experience. The websites that thrive in 2026 won’t be the ones with the best “SEO hacks.” They will be the ones that Gemini trusts to provide the “Final Answer.”

A flow chart showing how Gemini identifies a need, scans verified Knowledge Clusters, checks social sentiment on Reddit, and completes a transaction via an Agentic API.

The era of the blue link is over. The era of the Cited Authority has begun. Are you in the summary, or are you in the graveyard?

June 28, 2025March 30, 2026

How GEO Helps You Stand Out in AI Search

Generative Engine Optimization (GEO) is an emerging content strategy that focuses on making your information accessible, understandable, and useful for AI-powered engines like ChatGPT, Google’s AI Overviews, Perplexity, and Claude. As AI search becomes more advanced, users are increasingly getting direct answers instead of browsing long lists of links. That means your content now needs to serve not just humans, but also the AI systems that summarize, interpret, and generate responses based on what they find.

Why GEO Matters More Than Ever

Traditional strategies optimized content for search engine algorithms that ranked websites. GEO, on the other hand, optimizes your content for AI-generated answers. Instead of trying to be first on the search results page, GEO aims to make your content part of the actual answer that AI platforms display.

These engines don’t just find pages—they digest them, understand the context, and use snippets of information from multiple sources to create a synthesized answer. If your content isn’t structured or written in a way that AI can easily parse, you might be left out—even if your content is high quality.

Key Principles of Generative Engine Optimization

1. Response Generation

Your content should be written in a way that allows generative AI systems to quote or use it in full or partial responses. This means clarity and completeness are essential.

Example:
Bad: “We offer financial help.”
Good: “Our company provides low-interest loans to small businesses with fewer than 50 employees to help them grow and cover operational expenses.”

The second version is more detailed and direct—perfect for AI to use in generated answers.

2. Content Contextualization

AI models need content that is easy to understand and place within context. Rather than stuffing content with keywords, GEO encourages writing that is informative, well-organized, and relevant.

Example:
If you’re writing about skincare, don’t just say, “This product is the best.” Instead, say, “This vitamin C serum helps reduce dark spots and improves skin tone by stimulating collagen production.”

You’re not just describing—it’s contextualized with what, how, and why.

3. Information Synthesis

AI search tools pull pieces of content from various sources to build a comprehensive answer. That means your content should be factually accurate, up to date, and complete so it becomes a reliable source for synthesis.

Example:
An article on electric vehicles should include stats (e.g., battery range), pros and cons, comparisons with gas vehicles, and explanations of charging types. The more complete and informative, the better the chance AI will use it.

4. Understanding User Intent

GEO works best when you align your content with the actual needs and questions of users—not just the keywords they type. AI platforms focus on intent, so content must aim to answer why someone is asking something, not just what they’re asking.

Example:
If someone asks, “Is remote work better for productivity?”, your article should address different scenarios (e.g., introverts vs. extroverts, industries, distractions at home), not just give a one-size-fits-all answer.

This approach increases the likelihood your content is selected for nuanced, well-rounded AI responses.

5. Content Formatting for AI Readability

Structure your content in a way that both humans and machines can read and interpret easily. That means:

Use headings (H2, H3) and subheadings
Write short, clear paragraphs
Use bullet points or numbered lists
Include tables, FAQs, or summaries
Provide definitions or examples for complex terms

Example:
Instead of writing a big block of text about the health benefits of yoga, break it into sections like:

Improves flexibility
Reduces stress
Supports mental health
Each with a short paragraph explaining the benefit.

6. Research-Driven Strategy

Just like traditional optimization needed keyword research, GEO relies on analyzing how AI systems are generating responses. This includes:

Studying which sources AI tools cite or paraphrase
Reviewing which content formats (FAQs, how-to guides, explainers) they prefer
Noticing patterns in tone, length, and sentence structure

Over time, this insight helps you refine how you create content, making it more likely to be selected in AI-generated results.

7. Performance Tracking for Generative Engines

Instead of tracking just keyword rankings, GEO focuses on:

Referral traffic from AI platforms (e.g., if Bing Copilot or Perplexity links to your site)
Mentions or citations in AI-generated answers
How your content appears in AI responses (direct quotes, paraphrased summaries, etc.)

Tools for monitoring AI-driven platforms are still developing, but tracking traffic from these sources, along with brand visibility, will become crucial.

Example in Action

Let’s say you run a travel blog and want your article about “best destinations for solo female travelers” to be picked up by AI tools.

A good GEO-optimized section might look like this:

“Some of the safest and most popular destinations for solo female travelers in 2025 include Japan, Portugal, and New Zealand. These countries rank high in safety, public transport access, and cultural openness. For example, Japan offers efficient train systems and low crime rates, making it ideal for solo exploration.”

This paragraph is:

Factual
Well-structured
Directly answers a user query
Easy for AI to use in summary

Why Choose Digikestra?

Digikestra is a trusted partner for businesses looking to improve their digital presence. With expertise in crafting high-quality, SEO-optimized content and helps brands drive engagement, enhance visibility, and achieve sustainable growth through data-driven marketing strategies.

FAQs about Generative Engine Optimization

1. Is GEO replacing traditional search engine optimization?

Not entirely, but it’s becoming a vital complement. While traditional SEO still matters for visibility on search engines, GEO ensures that your content is seen—and used—within AI-powered search results.

2. How do I know if my content is being used by AI tools?

Currently, tools like Google Search Console don’t yet fully track AI Overviews or tools like ChatGPT. However, you can monitor AI platforms manually, set up alerts for brand mentions, or watch for spikes in referral traffic from emerging AI browsers and assistants.

3. What types of content work best for GEO?

Content that answers real questions in detail, including how-to guides, FAQs, comparisons, summaries, and educational pieces. Content that offers clarity, structure, and context performs well in generative AI systems.

4. Do I need to use special tools for GEO?

Not necessarily, but tools that help analyze user intent, readability, content gaps, and AI usage patterns can be very useful. Keep an eye on evolving platforms that are building GEO-specific analytics.

Final Thoughts

GEO represents a major shift in how content creators, businesses, and marketers need to think. Instead of focusing only on how to get to the top of the search engine results, the goal is now to become part of the answer.

By making your content easy to understand, helpful, and AI-friendly, you increase the chances that it gets included in AI-generated responses—and that’s where more users are turning every day. Start optimizing now, and you’ll be ahead of the curve as generative search continues to grow.

June 8, 2025March 30, 2026

How Google’s Generative Search Is Changing SEO – What It Means for Your Business

What is GEO (Generative Search Experience)?

GEO is Google’s next step toward a more AI-powered search experience. Instead of simply showing a list of blue links, Google now uses artificial intelligence to create short summaries, answer questions, and suggest next steps—all directly within the search results.

This means users may get what they’re looking for without ever clicking through to a website. For businesses, this changes everything.

Why GEO Matters for SEO

Let’s say someone searches for “how to choose a diamond ring.” In the past, your blog post on diamond buying tips could rank #1 and attract lots of visitors. But now, GEO might show an AI-generated summary at the top, pulling answers from multiple websites. Your post could still be useful—but it might no longer be the first thing people see.

Here’s how this impacts your SEO strategy:

Content quality matters more than ever – Google is picking content that’s helpful, accurate, and easy to understand.
Your brand’s authority is crucial – Sites with strong reputations are more likely to be featured in AI summaries.
Structured data and clear answers win – Pages that are well-organized and directly answer search questions have a better chance of being chosen.

Adapting to the New SEO World

So, how can your business adapt to these changes?

Focus on real value – Don’t just write for rankings. Write to help your audience with clear, honest answers.
Use FAQs and summaries – Format your content so it’s easy for Google to understand and use in its AI responses.
Refresh old content – Make sure older blog posts are still accurate, relevant, and well-structured.
Double down on branding – Build your site’s reputation through reviews, social proof, and helpful content.

Need Help Navigating SEO Changes?

If all this sounds a bit overwhelming, you’re not alone. The world of SEO is evolving fast, and staying ahead of the curve takes time and expertise. That’s where working with an experienced SEO agency in London can make a real difference.

Whether you’re looking to improve your content, optimize your website, or better understand Google’s latest updates, the right agency can help you grow your traffic—even in the age of AI.

Generative search is here to stay, and it’s reshaping the way we think about SEO. Instead of chasing rankings, it’s time to focus on building trust, answering real questions, and creating content that helps people.

Frequently Asked Questions (FAQs)

1. What is GEO in SEO?
GEO stands for Google’s Generative Search Experience, an AI-powered feature that creates summaries and answers within the search results, changing how SEO content is displayed.

2. Is traditional SEO still relevant?
Yes, but it’s evolving. Traditional SEO basics like keyword research and on-page optimization are still important, but now content needs to be structured and written in a way that AI can understand easily.

3. How can I optimize my content for GEO?
Use clear headings, concise answers, and structure your pages with bullet points, FAQs, and schema markup. Focus on user intent and provide valuable, well-researched information.

4. Will GEO reduce traffic to my website?
It might for some queries, especially informational ones. That’s why it’s important to optimize for both visibility in GEO and for encouraging users to click through for more details.

5. Can an SEO agency help with GEO updates?
Absolutely. A skilled agency in London can audit your content, update your strategy, and help you stay ahead of AI-driven search trends.

At Digikestra, a trusted SEO agency in London, we help businesses stay competitive by blending proven SEO methods with the latest AI-focused strategies. Let’s build your online presence for the future of search.

January 16, 2025March 30, 2026

How to Rank at top in Google’s AI Overviews

You’re probably aware that Google recently rolled out a new AI-powered feature called AI Overviews to US users, with plans to expand it globally to over 1 billion more people by the end of this year. This is honestly a really big deal – one of the most significant changes to how Google search works in the last couple of decades.

Naturally, all businesses and marketers are now scratching their heads, wondering how they can get their websites to show up in these new AI-generated search overviews. In this article, I’m going to break down exactly what these AI Overviews are, how they work, and most importantly, how you can optimize your website’s content to get featured and rank highly in them.

But first, let me quickly explain the key difference between AI Overviews and Google’s previous technology called SGE or “Supplemental Google Experiences”. When you search for something on Google now, you’ll see this new AI-generated overview section at the very top, followed by the regular organic search results beneath it.

These AI Overviews pull in text snippets and source links from across the web, supposedly using Google’s large language model called Gemini to automatically generate this overview content. However, the exact process may be a bit different from what Google is publicly saying.

The reason every marketer is so excited about these AI Overviews is that they display information right there on the search page, potentially reducing how many people need to click through to actual websites. So getting your content featured in these Overviews is going to be crucially important.

For the most part, these AI Overviews seem to be triggered for informational, question-based searches starting with words like “what”, “how”, “when”, “why”, and so on. Google does appear to be more cautious about displaying AI Overviews for financial, local business, or other types of searches though.

One key difference is that unlike Google’s previous SGE boxes, these new AI Overviews currently don’t have that handy “Ask a follow-up question” functionality. They also have reduced coverage compared to when Google was initially testing this technology.

But despite some of those limitations, AI Overviews present a massive opportunity for businesses to increase their visibility and drive more traffic from Google. So let me share the strategies we’ve found to be effective for actually getting your content to rank…

Here are stepwise instructions on how to optimize your website content to rank in Google’s new AI Overviews:

Step 1: Understand AI Overviews and how they differ from traditional search
AI Overviews are Google’s new AI-generated summaries that appear at the top of search results for informational queries like “what, how, when, why” type questions. These overviews pull in text snippets and links from various websites to provide a comprehensive answer.

Step 2: Optimize your site’s SEO foundation
Before targeting AI Overviews, ensure your website has a strong SEO foundation. This includes optimizing titles, meta descriptions, site speed, user experience, and engagement metrics like bounce rate. A solid technical SEO base is crucial.

Step 3: Create query-matching content
Identify the specific informational queries you want to rank for in AI Overviews. Then, create high-quality content that directly answers those questions concisely and readably. Summarize the key points in clear language.

Step 4: Get your content indexed quickly
Once your content is published, submit those pages for indexing in Google Search Console. AI Overviews tend to refresh and update more rapidly than regular rankings.

Step 5: Monitor and refine your optimization
Keep a close eye on which content snippets Google is pulling into the AI Overviews for your target queries. You may need to adjust and refine your content to better match what the AI is looking for.

Step 6: Stay up-to-date on AI Overview criteria
As this technology is still new, Google’s criteria for what content gets surfaced in AI Overviews will likely evolve. Pay attention to updates and be prepared to adapt your optimization tactics accordingly.

The key is creating content that clearly and concisely answers searchers’ questions in a way that Google’s AI can understand and pull into the Overview snippets. With a solid strategy, you can increase your chances of visibility in this new search landscape.

December 3, 2024March 30, 2026

How to utilize AI to improve keyword research?

Introduction:

Struggling with traditional keyword research? Spending hours pouring over spreadsheets? There’s a better way. AI-powered keyword research tools are revolutionizing the SEO game, offering a faster, more efficient, and insightful approach. This guide explores how AI can elevate your keyword research, helping you discover hidden opportunities, save valuable time, and outrank the competition.

Why AI?

Imagine a super-powered assistant analyzing vast amounts of data in seconds, uncovering insights that would take humans days. That’s the power of AI. These intelligent tools leverage machine learning algorithms to:

Understand Search Intent: AI goes beyond simple keyword matching, analyzing the context and meaning behind searches to identify the user’s true intent.
Predict Trends: Don’t get caught playing catch-up. AI can predict keyword trends based on historical data, allowing you to proactively optimize your content calendar.
Generate Smart Suggestions: Stuck for keyword ideas? AI tools can analyze seed keywords and generate comprehensive lists of related terms, long-tail keywords, and valuable phrases, expanding your targeting potential.

Benefits of AI Keyword Research:

Save Time: Ditch the manual labor. AI tools analyze data rapidly, freeing up your time for strategy and content creation.
Data-Driven Insights: AI analyzes user intent, search patterns, and competitor strategies, providing comprehensive insights to refine your keyword approach.
Uncover Hidden Opportunities: AI can identify valuable keywords you might have missed, opening doors to untapped markets and audience segments.

Challenges of AI Keyword Research:

Over-reliance on Automation: Don’t let AI do all the thinking. Utilize AI as a tool, not a replacement for your industry knowledge and intuition.
Data Quality Matters: AI is only as good as the data it’s trained on. Be wary of outdated or biased data that could lead to inaccurate suggestions.
Context is Key: AI might miss industry-specific jargon or language nuances. Interpret results through the lens of your business.

Top AI Keyword Research Tools:

AI-Enhanced Powerhouses:
- Semrush: Renowned for its in-depth capabilities, Semrush leverages AI integrations to analyze keyword difficulty, search volume, and SERP performance. Its Keyword Magic Tool identifies keyword clusters and suggests long-tail options based on user intent.
- Ahrefs: Another SEO giant, Ahrefs uses AI to power its data-driven insights. It excels in competitor analysis, revealing which keywords your rivals rank for and where your content gaps lie. AI also improves traffic estimations and keyword difficulty scores.
Pure AI Solutions:
- Jasper AI: This content creation powerhouse offers keyword research capabilities. Prompt Jasper to generate keyword ideas, content outlines, and even articles based on seed keywords (human review remains crucial). Jasper is valuable for brainstorming and uncovering long-tail keywords.
- Claude AI: This AI assistant assists with keyword research by brainstorming ideas, suggesting long-tail options, and grouping them into relevant categories. While it lacks real-time competitor data, it can offer content insights based on your chosen keywords.
- ChatGPT: Though not a dedicated keyword research tool, ChatGPT shines at generating ideas and exploring search intent. It’s a fantastic brainstorming partner for fleshing out keyword lists and exploring new content angles.

Implementing AI into Your Strategy:

Generate Ideas with AI: Fire up ChatGPT or Jasper AI to spark a brainstorm. You’ll receive a wider range of suggestions than you could generate alone.
Crunch the Numbers: Feed those AI-generated ideas into Semrush or Ahrefs to get hard data on search volume, competition level, and trends.
Decode User Intent: Leverage AI to analyze search intent, but filter it through your industry expertise. Ensure chosen keywords align with your business goals.
Optimize Smartly: Let AI suggest keyword placements, but trust your gut feeling. Maintain a natural and valuable content flow – avoid keyword stuffing.
Stay Agile: Monitor performance using AI-powered analytics, but remain adaptable. Leverage your business knowledge to interpret the data and make adjustments.

Conclusion:

The future of SEO is here, and AI is leading the charge. By incorporating AI keyword research tools into your strategy, you’ll unlock hidden opportunities, save valuable time, and propel your website to organic traffic success. Remember, the most powerful approach combines AI’s data analysis with your unique industry expertise and creativity. So, start experimenting with AI tools today, and watch your SEO soar!

December 3, 2024March 30, 2026

Deepfakes: Fun or Fake? The Gareth Southgate Case

Ever seen a video so real it seems fake? That’s a deepfake! These use fancy AI to create videos of people saying or doing things they never did. Recently, fake videos of England’s coach, Gareth Southgate, went viral, sparking debates.

What’s the Deal with Southgate Deepfakes?

These videos use AI to make Southgate look like he’s giving interviews, but the words are completely made up! Some fans find them funny, a kind of British joke that boosts team spirit. However, the official football association (FA) isn’t happy. They worry these fakes could spread lies and hurt people’s reputations.

Deepfakes: Double-Edged Sword

Deepfakes are a new technology with a lot of potential, but they also come with risks.

On the positive side, deepfakes can be a powerful tool for creative expression. Artists can use them to create new and interesting forms of art, while comedians can use them to create hilarious parodies. Deepfakes can even be used for educational purposes, such as creating realistic simulations of historical events.

However, deepfakes can also be used for malicious purposes. They can be used to spread misinformation and propaganda, or to damage someone’s reputation. For example, a deepfake could be used to create a video of a politician saying something they never did, in order to swing an election.

Deepfakes can also be used to invade someone’s privacy, by superimposing their face onto a fake or embarrassing video.

It is important to be aware of both the potential benefits and risks of deepfakes. As this technology continues to develop, it is important to find ways to use it responsibly and ethically.

Gareth Southgate: More Than Just Deepfakes

Southgate’s a football legend, both on and off the pitch. As a player, he experienced the highs of scoring goals and the lows of missing a crucial penalty kick. But he never gave up, and his dedication to the sport earned him respect.

Later, he transitioned into coaching, bringing that same passion and perseverance to the sidelines. His leadership during the 2018 World Cup and Euro 2020 tournaments was praised for its focus on teamwork and player development.

Deepfakes: Can They Help England Win?

Believe it or not, deepfakes could actually be used to revolutionize the way England trains and prepares for matches. Imagine players putting on VR headsets and stepping into a virtual stadium where they’re facing off against a deepfaked version of their next opponent.

These deepfaked opponents could be programmed to mimic the playing styles and tactics of real teams, giving England’s players a chance to experience the pressure and challenges they’ll face in a real game.

Deepfakes could also be used to create customized training drills. For example, a deepfake could be used to create a scenario where England is down by a goal with only a few minutes left in the game. The players would then have to practice making quick decisions and executing winning plays under pressure.

Deepfakes could also be a valuable tool for coaches. Imagine coaches using deepfakes to test out different strategies against simulated opponents. They could see how different formations and tactics play out in a virtual environment before putting them into practice on the real field.

This could help coaches develop more effective game plans and identify weaknesses in their team’s strategy before they become a problem in a real match.

Deepfakes could even be used to motivate players. Imagine Southgate using deepfakes to create personalized pep talks for each player. These deepfakes could highlight the player’s strengths and remind them of their past successes.

They could also be used to deliver tactical instructions in a clear and concise way. A motivational deepfake from Southgate could be just the thing to give the team the extra boost they need to win a close match.

Finally, deepfakes could be used to improve England’s scouting efforts. Deepfakes could be used to create realistic simulations of different players’ styles of play. This would give England’s scouts a better idea of which players would be a good fit for the team. Deepfakes could also be used to track the progress of young players and identify future stars.

The Future of Deepfakes

The Southgate deepfakes show the challenges of this technology. As AI gets smarter, it’s important to use it responsibly and maybe even create rules to stop people from using it for bad things. Whether deepfakes become the next big form of entertainment or a tool for spreading lies, one thing’s for sure – their impact on our digital world is undeniable.

Design

Development

Digital Marketing