Generative AI

Is SEO Dead or Evolving in 2026? How AI, AEO and GEO Are Changing Search

Is SEO Dead or Evolving in 2026?

 

Every few years, someone declares SEO dead.  This happened when social media grew. It happened when voice search became popular. It happened when Google introduced featured snippets. Again, it is happening because of AI Overviews, ChatGPT, Gemini, Perplexity and other answer engines.

But SEO is not dead. What is dying is the narrow version of SEO that depended on keyword stuffing, thin blog posts, weak backlinks and chasing page-one rankings without understanding user intent.

SEO in 2026 is no longer just about appearing in blue links. It is about being discoverable, trusted, cited and chosen across search engines, AI answers, social search, voice search, local search and generative discovery.

The real question is not whether SEO is dead. The better question is whether your SEO strategy has evolved enough to match how people now search.

Search Behaviour Has Changed

SEO in the age of AI has changed. People are no longer searching only with short phrases such as “SEO agency Nairobi” or “best PR firm Kampala”. They are asking full questions, comparing options, using voice, searching on TikTok and YouTube, and expecting summarized answers.

For instance, a user might ask, “Which digital agency is best for SMEs in Kenya and why?” or “How can a PR team measure online reputation after a crisis?” These are no longer simple keyword searches. They are intent-rich questions.

Search systems are now trying to understand context, meaning, credibility and usefulness. This is why the old SEO playbook is not enough. Ranking for a keyword still matters, but it is no longer the full game.

Your content must answer real questions, show expertise, prove authority and be structured well enough for search engines and AI systems to understand it.

Why SEO Is Still Important in the Age of AI

Google itself has been clear that SEO best practices remain relevant for AI features such as AI Overviews and AI Mode. Google says its generative AI features are rooted in its core Search ranking and quality systems.

In simple terms, if your website cannot be crawled, indexed, understood and trusted by Google, it is unlikely to perform well in AI-driven search experiences.

That is an important correction to the noise around “AI SEO hacks”. You do not need to abandon SEO. You need to strengthen it.

• Technical SEO Still Matters

Your website must be fast, mobile-friendly, secure and crawlable. A slow, broken or poorly structured website will struggle to rank, even when the content is useful.

Search engines need to access your pages, understand your structure and index your content correctly. Without that foundation, your visibility is already weak.

• On-Page SEO Still Matters

Your titles, headings, internal links, images, schema, meta descriptions and page structure still help search engines understand your content.

Good on-page SEO is no longer about forcing keywords into every paragraph. It is about helping both humans and search engines understand what the page is about, who it serves and why it is useful.

• Off-Page SEO Still Matters

Credible backlinks, media mentions, reviews, social references and brand mentions still shape authority. In the AI era, reputation across the open web matters even more because AI systems rely on trusted signals when deciding what to retrieve, summarize or cite.

The Evolution: From SEO to AEO and GEO

Modern visibility now has three connected layers: SEO, AEO and GEO. These three are not competing ideas. They work together.

SEO: Getting Discovered in Search Results

SEO, or Search Engine Optimization, is the foundation. It helps search engines discover, crawl, index and rank your website.

It includes technical SEO, on-page SEO, off-page SEO, local SEO, image SEO and video SEO. Without SEO, your website is harder to find and harder for search engines to understand.

AEO: Getting Selected as the Direct Answer

AEO, or Answer Engine Optimization, is about making your content easy to select as a direct answer.

This matters because users increasingly get answers without clicking through several websites. AEO focuses on question-led headings, concise explanations, FAQs, structured content, featured snippets, voice search and People Also Ask results.

For example, a weak paragraph might say:

“Our organization offers many services designed to improve digital presence.”

A stronger AEO-style answer would say:

“A digital marketing agency helps businesses attract, convert and retain customers online through SEO, paid ads, social media, content marketing, analytics and conversion optimization.”

The second version is clearer, more specific and easier for a search system to use as an answer.

What is GEO: Getting Cited by AI Answer Systems

GEO, or Generative Engine Optimization, is about making your brand, expertise or content more likely to be retrieved, trusted, synthesized and cited by AI answer systems. GEO matters because AI tools do not always show users a traditional list of links. They summarize information and cite selected sources. To be cited, your content needs to be credible, current, original and easy to interpret.

Why AEO and GEO Do Not Replace SEO

The mistake many brands are making is treating AEO and GEO as replacements for SEO. They are not replacements. They are layers on top of SEO.

You cannot win in generative discovery if your basic website structure, content quality and authority signals are weak.

SEO in the Age of AI: What Has Changed?

AI has changed search in several important ways. These shifts explain why marketers, communicators, PR professionals and organizations need to rethink how they approach search visibility.

• Users Are Asking Longer and More Complex Questions

Instead of searching “media monitoring tools”, a user may now ask, “What is the best media monitoring tool for PR teams in Kenya tracking brand sentiment across social media and news?”

That kind of query needs more than a keyword-matched page. It needs a useful, contextual and credible answer.

• Zero-Click Search Is Growing

Many users now get answers directly on the search results page. They may see a featured snippet, People Also Ask result, knowledge panel or AI-generated summary before clicking any website.

This means brands must measure visibility differently. A click is still valuable, but visibility, mentions, snippets and citations also matter.

• Search Is Becoming Multimodal

People now search using text, images, video, screenshots and voice. This makes image SEO, video SEO and structured visual content more important.

A brand that only optimizes written articles is missing part of the search opportunity.

• Authority Is Becoming Harder to Fake

AI systems and search engines need trusted sources. Clear authorship, expert credentials, original data, case studies, reviews, reputable mentions and consistent brand information now matter more.

Generic content is easy to produce. Trusted content is harder to build. That is where serious brands can win.

• AI Search Uses Query Fan-Out

AI search can break one user question into several related searches before generating an answer. This means your content must cover topics deeply, not just target one narrow keyword.

If your website has one shallow blog post on a topic, that is not enough. You need depth, related pages, evidence, examples and a clear point of view.

How to Do SEO in the Age of AI

SEO in 2026 needs a stronger operating rhythm. It is not a one-off website task. It sits at the intersection of content, communications, product, analytics and leadership.

1. Start With the SEO Basics

Many brands want to jump into GEO before fixing the foundation. That is a mistake.

Check whether your website is indexed. Use Google Search Console. Fix crawl errors. Improve page speed. Make sure your site works well on mobile. Use HTTPS. Remove broken links. Update old pages.

A technically weak website loses visibility even when the content is good.

2. Build Content Around Intent, Not Just Keywords

Keywords still matter, but they should guide your understanding of what people want.

For every important topic, ask:

• What does the user want to know?
• What decision are they trying to make?
• What fear, confusion or problem are they bringing to search?
• What answer would actually help them?

A page that answers intent will outperform a page that simply repeats keywords.

3. Create Answer-Ready Content for AEO

Use question-based H2 and H3 headings. Give a direct answer immediately after the heading before expanding. Add FAQs to service pages. Use tables where comparison is needed. Use numbered steps for how-to content.

Write in a natural style that can be read aloud for voice search. This is how you build for Answer Engine Optimization.

4. Create Original, Expert-Led Content for GEO

AI can summarize generic content easily. It cannot replace your real experience, data, local insight, client work, industry observations or case studies.

In East Africa especially, there is still a major gap in credible local content. This is an opportunity for consultants, agencies, universities, public sector organizations, NGOs and brands to own their niche through original explainers, research reports, local examples and expert commentary.

If you want AI systems to cite you, publish content worth citing.

5. Strengthen Your Entity Signals

Search engines and AI systems need to understand who you are, what you do, where you operate and why you should be trusted.

Keep your organization name, address, phone number, service descriptions and profiles consistent across your website, Google Business Profile, LinkedIn, media mentions, directories and partner pages.

Add author bios. Show credentials. Link to credible sources. Publish an About page that actually explains your expertise.

6. Use Structured Data, But Do Not Obsess Over It

Schema can help search engines understand your content and qualify your pages for rich results.

Use the FAQ schema, Article schema, LocalBusiness schema, Product schema or HowTo schema where relevant. But schema is not a shortcut for weak content. It supports clarity; it does not create authority by itself.

7. Build Topic Clusters

One blog post is rarely enough to prove authority.

If you want to rank and be cited for digital marketing, PR measurement, media monitoring, social listening or AI search, build a cluster of related pages.

Create pillar guides, practical how-to articles, FAQs, case studies, glossary pages, comparison pages and industry insights. Search engines and AI systems reward depth, consistency and topical authority.

8. Do Not Ignore Local SEO

For businesses in Kenya and East Africa, local visibility is still powerful.

Claim and optimize your Google Business Profile. Keep your name, address, and Phone number consistent. Encourage reviews. Respond to reviews. Add local service pages. Use natural location references such as Nairobi, Kenya, Kampala, Dar es Salaam or Mombasa where relevant.

Local SEO is especially important for agencies, consultants, training institutions, restaurants, health facilities, public services, real estate firms and professional service businesses.

9. Optimize for Images, Video and Social Search

Search is no longer limited to Google’s traditional results page. Users search on YouTube, TikTok, Instagram, LinkedIn, Pinterest and AI tools.

Use descriptive file names, alt text, captions, transcripts and clear titles for images and videos. Repurpose strong articles into carousels, short videos, explainers and LinkedIn posts. This improves discoverability across platforms where audiences are already searching.

10. Measure Beyond Rankings

In 2026, SEO reporting should not stop at keyword rankings.

Track organic traffic, impressions, click-through rate, indexed pages, Core Web Vitals, backlinks, featured snippet ownership, People Also Ask visibility, local pack appearances, branded search growth, AI Overview appearances, AI citations and conversions.

The master metric is visibility share: how often your brand appears across traditional search, answer engines and AI-generated responses for the conversations that matter in your sector.

What This Means for Brands and Organizations

The brands that will win search in 2026 are not the ones producing the most content. They are the ones producing the most useful, credible and findable content.

Organizations need to stop treating SEO as a technical task left to one person after the website is built. SEO now affects brand reputation, thought leadership, customer acquisition, public communication and digital trust.

• A public institution should ask: are citizens finding accurate answers from us or from third-party summaries?
• A PR team should ask: when people search our brand during a crisis, what do they find first?
• A university should ask: are prospective students finding clear programme pages, credible faculty profiles and useful application information?
• A business should ask: when AI tools recommend service providers in our sector, are we visible or invisible?
• These are no longer small questions. They are visibility, reputation and revenue questions.

So, Is SEO Dead?

To conclude, No. SEO is not dead. It is becoming more strategic, more technical, more content-led and more reputation-driven.

What is dead is lazy SEO. Publishing generic articles, adding keywords mechanically, buying weak backlinks and hoping Google will reward you is no longer a serious strategy. The brands that will win in 2026 are the ones that understand how people search, how AI systems retrieve information, and how trust is built across the open web.

SEO has evolved from ranking pages to earning visibility. AEO helps you become the answer. GEO helps you become the cited source. But SEO remains the foundation that makes both possible.

If Google, ChatGPT or Gemini introduced your organization to a stranger today, would you be proud, worried, shocked or invisible?

That is the real SEO audit for 2026.

Contact us for SEO and Website Optimization services at info@samodigitalagency.com

AI Slop in Marketing Isn’t Failure: Ketepa, NTSA, and the Messy Middle

TLDR: AI-generated marketing can misfire — or create what’s called AI slop. Ketepa Tea, NTSA, and Coca-Cola show how public feedback and iteration turn AI missteps into stronger campaigns.

February is the month of love,  a season when brands lean heavily into emotion, gifting, and cultural moments. This year in Kenya, however, Valentine’s conversations went beyond flowers and chocolates. The Central Bank of Kenya cautioned against the misuse of banknotes amid the growing trend of money bouquets, highlighting how cultural moments, regulations, and public behavior intersect.

Against this backdrop, brands and public institutions turned to AI-generated images to participate in the moment. Ketepa Tea shared an AI-generated image of tea sachets arranged as a bouquet, prompting criticism around tone, timing, and authenticity. 

Around the same time, the National Transport and Safety Authority (NTSA) faced backlash after publishing an AI-generated #UsalamaBarabarani image that appeared to contradict its own road safety message. In both cases, audiences quickly identified the gaps and voiced their feedback.

These moments sparked a broader conversation about AI-generated images and videos in marketing and the growing phenomenon often referred to as AI slop. More than isolated missteps, they reveal how brands are learning to use AI in public — navigating feedback, iterating in real time, and refining their approach as audiences become more AI-aware.

What is AI slop in Marketing?

AI slop refers to low-quality, obviously AI-generated content that fails authenticity tests and lacks the human oversight necessary for quality marketing. It is characterized by visual tells like distorted hands, impossible physics, nonsensical text, and, perhaps most critically, missing cultural context that make content resonate.

AI slop is not simply “bad content.” It often results from:

• Over-reliance on AI tools
• Weak or rushed prompting
• Limited human oversight
• Speed prioritized over strategy

Crucially, AI slop reflects process gaps, not proof that AI itself does not work. Many of these outputs are not failures, but early-stage experiments published too quickly.

 But here’s what makes AI slop particularly problematic in 2025: today’s consumers are AI-literate. They can spot it instantly, and they expect better.

Why AI Slop Happens, Especially With Images and Video

AI slop is most visible in visual marketing for several reasons.

First, AI lacks lived context. Generative tools do not understand cultural nuance, regulation, emotion, or local realities. They work from patterns, not experience. Without human review, inconsistencies slip through.

Second, AI accelerates execution faster than judgment. What once took days of creative review can now be produced in minutes. When thinking does not keep pace with production, mistakes become public.

Third, visual content leaves no room for explanation. Audiences interpret images instantly. A single contradiction can undermine an entire message.

A Global Example: Coca-Cola’s Christmas Controversy and AI-Generated Creativity

In 2024 and 2025, Coca-Cola attempted to recreate its iconic “Holidays Are Coming” Christmas campaign using AI generation. The result? A soulless recreation that lost all the warmth and nostalgia of the beloved hand-crafted original. Visible AI artifacts and uncanny valley effects prompted hashtags like #BoycottCokeAI to trend. The message from consumers was clear: when you’re a heritage brand built on emotion, AI cost-cutting feels like betrayal.

Kenyan Case Study: NTSA and the #UsalamaBarabarani Campaign

Kenya’s National Transport and Safety Authority’s campaign  #Safewalking #UsalamaBarabarani (Road Safety) campaign, advocating for zebra crossing usage, offers a clear example of contextual misalignment. 

One of their AI-generated image shared on social media showed both a zebra crossing and a footbridge in the same frame. The public response was immediate: “Why would anyone use a ground-level crossing when there’s a safer footbridge option?” The image undermined the entire safety message, demonstrating AI’s inability to understand contextual logic. 

NTSA deleted the post, but the damage to credibility was done. Here is the next post they shared on X.

Every minute saved is not worth a life lost.
Use the footbridge, it’s there to protect you.
#SafeWalking #UsalamaBarabarani pic.twitter.com/NBsFRiLWW3

— NTSA KENYA (@ntsa_kenya) February 4, 2026

Ketepa Tea: Turning AI Backlash Into Iteration

Unlike the others, Ketepa’s response became a masterclass in crisis management. Ketepa Tea’s response stands out as a positive example of how brands can move forward after criticism.

After backlash over its AI-generated sachet bouquet, Ketepa did not defend the output or disengage. Instead, the brand listened. Here is the post that received a lot of criticism online.

Ketepa wishes to remind the public that section 1 of the Love Languages Code – aka the gifting of Ketepa Tea bags in decorative and romantic bouquet displays during this month of love is an enshrined freedom that all Kenyans across all walks can engage in without fear of… pic.twitter.com/c6rmS4ZGgb

— Kenya Tea Packers (@KetepaLtd) February 3, 2026

 

Kenya Tea Packers followed up with a new post featuring real flowers, real tea sachets, and a human presence, accompanied by the message “From AI to real tea.”

Ilibidi tutea.

Ketepa Tea Bouquet iko official,
romantic, inabrew love live.
Mapenzi ni vitendo… na tea ni lugha yetu.#KetepaTeaBouquet#ChaiNiKetepa#BrewLove pic.twitter.com/bbdehAiMOD

— Kenya Tea Packers (@KetepaLtd) February 6, 2026

This shift mattered. It showed responsiveness, humility, and an understanding that AI should support storytelling, not replace human connection.

The Messy Middle of AI in Marketing

These examples illustrate what can be described as the messy middle, the phase between experimentation and mastery.

Marketing has always evolved this way. Early social media content was awkward. Early mobile ads were intrusive. AI is no different. The difference today is visibility. AI compresses timelines and exposes learning curves publicly.

The case of Coca-Cola, Ketepa Tea, and NTSA, among others, who have boldly shared their AI-generated campaigns are example of brands that are no longer iterating behind closed doors. They are doing so in real time, with audiences actively participating in the feedback loop.

They proved that listening and adapting create more trust than getting it perfect the first time.

Each public failure trains marketers on what doesn’t work. Failed examples become case studies that refine our collective understanding of AI’s appropriate use. Community feedback improves prompt engineering industry-wide. The messy middle isn’t where brands get stuck; it’s where they build the institutional knowledge that leads to mastery.

Today’s Awakened Consumer

What makes 2026 different from even two or three years ago is audience sophistication. Some consumers can increasingly spot AI-generated content through visual tells, tonal genericness, and logical inconsistencies. More importantly, they expect better. The sentiment  you see on social media isn’t “don’t use AI”, it’s “if you’re using AI, at least make it good.”

This creates what is known as the authenticity paradox: brands must use AI for efficiency and creativity, yet audiences crave human connection and genuineness. The solution is not choosing between AI and authenticity. It needs brands to use AI as a tool while keeping humans as decision-makers.

Moving From AI Slop to AI-Smart Marketing

The difference between AI slop and AI success comes down to process. Successful AI marketing follows this framework:

• Generate multiple versions using AI for speed and scale. 
• Review through multi-stakeholder quality checks that include cultural consultants and brand guardians. Refine based on expert input and cultural context. 
• Test with small audience segments before full rollout. Approve only after final human sign-off confirming brand alignment. 
•  Monitor real-time sentiment post-publication. Iterate continuously based on learnings.

The critical element? Human oversight at every stage. AI should accelerate creativity, not replace judgment.

Brands must also build internal AI governance: documented learnings, prompt libraries with proven results, brand-specific guidelines, and team training on AI literacy. Quality thresholds should be established before generation begins, not after problems arise.

Conclusion

AI slop is not the end state of AI in marketing. It is a transitional phase that reflects experimentation, learning, and adjustment.

What defines strong brands is not the absence of mistakes, but how they respond. Brands that listen, iterate, and humanize their use of AI will build stronger trust and more resilient connections with their audiences.

In marketing, progress has never been perfectly polished. With AI, the learning just happens in public and when handled well, that visibility can become a strength rather than a weakness.

GPT-5 Explained: What Business Owners and Marketers Need to Know

OpenAI has just unveiled GPT-5, the latest and most advanced version of its AI model, and it’s already transforming the way we work, create, and communicate. Whether you are running a business, leading a marketing team, creating content, or simply trying to keep up with digital trends, GPT-5 promises faster, smarter, and more accurate results compared to previous models.

What Exactly is ChatGPT-5?

Think of GPT-5 as your new AI partner that’s sharper, more reliable, and more flexible than previous versions. According to OpenAI, GPT-5 is designed to handle complex tasks from drafting high-quality content and brainstorming creative campaigns, to analysing data and even interpreting images or charts.

Compared to GPT-4, GPT-5 has a stronger “long-memory,” meaning it can follow your train of thought over longer conversations, remember key details, and adapt its tone to match your style. It also does a much better job of reasoning through tricky problems, making it a powerful tool for marketers, business owners, and digital creators who want smart support on demand.

GPT-5 Access and Pricing Plans

OpenAI offers ChatGPT  through different subscription plans tailored to your usage needs:

• Free Plan: Provides limited access to GPT-5 with daily usage caps. Ideal if you want to try out the model casually. Once you hit your limit, you might get downgraded to a smaller, lighter version like GPT-5 Mini.

• ChatGPT Plus: This paid plan gives you higher usage limits and priority access to GPT-5. It’s perfect for marketers and creators who need reliable, faster responses throughout their day.

• ChatGPT Pro: Designed for power users and businesses, Pro users get the highest usage limits and access to GPT-5 Pro — a more capable variant built for handling complex, resource-intensive tasks with ease.
  
  

  ChatGPT pricing plans 2025

If you are a small business owner or a content team, these flexible plans let you pick the right balance of performance and cost for your needs. You can also explore the ChatGPT business plans

Key Features That Make GPT-5 Stand Out

Now let us look at some of the key features of ChatGPT-5:

1. Sharper Reasoning
   GPT-5 excels at multi-step thinking, breaking down complex questions and delivering more accurate answers.
2. Longer Context
   It can follow your conversation or project for much longer without “forgetting” earlier points, perfect for ongoing campaigns or content strategies.
3. Multimodal Power
   Beyond text, GPT-5 can understand and work with images, charts, and diagrams, giving you richer insights.
4. Smarter Adaptability
   It adjusts its style and tone automatically — whether you need professional copy for a client pitch or a playful caption for social media.
5. Better Accuracy
   Hallucinations (AI-generated wrong facts) are significantly reduced, making responses more trustworthy.
6. Custom Controls
   You can fine-tune how detailed or concise it should be, or how much “thinking” it puts into an answer.

The Limitations to Keep in Mind

While GPT-5 is impressive, it’s not perfect. It’s still not “true AI” that understands the world the way humans do and it can make occasional mistakes, especially with niche or tricky questions. This is evident with what some of the earlier users on Reddit are saying about ChatGPT-5.

Moreover, Free-tier users will also face daily limits, and while it’s much more accurate than GPT-4, it’s not immune to errors.

GPT-4 vs GPT-5: The Big Differences

Here’s how the new version stacks up side by side:

Feature	GPT-4	GPT-5
Reasoning Ability	Strong, but can struggle with complex multi-step problems	Much better at multi-step, complex reasoning
Accuracy	Good, but prone to occasional errors and hallucinations	Fewer errors, more factually reliable
Context Memory	Handles shorter conversations, limited long-term recall	Maintains context over much longer exchanges
Content Length	Up to ~100,000 tokens	Supports up to ~400,000 tokens or more
Pricing	Higher token costs, less cost-efficient	More cost-effective with flexible pricing plans
Adaptability	Can switch styles but may need prompts	Smooth and natural tone/style adaptation
Multimodal Support	Basic image and text handling (GPT-4o)	Advanced multimodal inputs (text, images, charts, audio, video)
Safety & Honesty	Occasional sycophancy and overconfident answers	More honest, transparent, and safer responses

Why This Matters for You

If you run a business, create content, or work in digital marketing, GPT-5 can save you time, sharpen your campaigns, and even spark ideas you might not have considered. At Samodigital Agency, we are already exploring ways to use GPT-5 for smarter automation, content creation, customer engagement, and market analysis.

The bottom line? GPT-5 is not just another tech upgrade. It is a productivity boost, a creativity partner, and a competitive edge rolled into one.

SEO in the Gemini Era: How Google’s AI Updates Impact Search Optimization

At the just concluded Google I/O 2024, Google announced expanded AI features for Google Search. How will this impact search engine optimization? Google has been making changes to Google search to improve how users find information in the search results.

The generative AI has even accelerated the improvement since the introduction of Gemini and the search lab’s search generative experience.

Here are some of the updates coming to Google Search in the Gemini Era

Google Search is introducing a new feature called AI Overviews.

AI overviews are summaries of search results that are designed to give users a quick overview of a topic without them having to click on multiple links. The feature has been tested in Search Labs, and users liked that they could get a quick summary and then links to learn more if they wanted. Google is rolling out AI Overviews to everyone in the US this week and expects to bring them to over a billion people by the end of the year.

Ability to Customize AI Overviews

Google Search will soon let you customize AI Overviews. You’ll be able to choose to simplify the language for easier understanding or get a more detailed breakdown of the topic

Search is getting smarter!

You can now ask complex questions in one go, thanks to a new AI model called Gemini. This means you can include all the details you want in your search, like location, criteria, and comparisons.

Google gives an example “For example, maybe you’re looking for a new yoga or pilates studio, and you want one that’s popular with locals, conveniently located for your commute, and also offers a discount for new members. Soon, with just one search, you’ll be able to ask something like “find the best yoga or pilates studios in Boston and show me details on their intro offers, and walking time from Beacon Hill.”

Plan Ahead!

Search can now help you create meal plans and trip itineraries. You can search for things like “easy 5-day meal plan for a group” and get recipe suggestions. Google says you can even customize the plan by asking for vegetarian options. You can then export the plan to Docs or Gmail. This feature is currently in testing but will be expanded to include other planning categories like parties and workouts.

Get AI-organized Results Pages

They’re introducing AI-organized results pages to help you brainstorm ideas. These pages will use AI to categorize different websites under unique headings, giving you a broader perspective on your search topic. This will be available first for searches related to dining and recipes, with plans to expand to movies, music, and more.

Google Search is getting a video search upgrade!

You’ll soon be able to search using videos. This means you can record a problem, like a malfunctioning record player, and Search will use AI to understand the video and provide solutions with steps and resources. No more struggling to describe the issue with text!

What does this mean for SEO?

The SEO Impact of Generative AI in Google Search

In my view, the question of how generative AI in Google searches will affect search engine optimization (SEO) has been a major concern. Is SEO dead? While the impact is undeniable, I believe SEO will adapt rather than become obsolete.

Firstly, website traffic might be affected. Users may get some answers directly from search results, reducing clicks to websites for basic information.

Secondly, content creators like bloggers and writers will face a challenge in crafting high-quality, relevant content that stands out for AI algorithms. However, Google’s inclusion of recommended articles within the search generative experience suggests that valuable content will still be crucial.

In essence, generative AI offers easier information access for users but presents a challenge for content creation.

What are your thoughts?