AI Overviews & AI Mode: Google’s Official Advice for Optimizing Your Website

As Google continues to evolve its search features, AI Overviews & AI Mode are becoming major parts of the user experience. Website owners and SEO professionals now need to adapt to these new AI-powered search formats to remain competitive. In a recent blog post, Google Search Advocate John Mueller shared official recommendations on how to optimize content for these AI experiences.

What Are AI Overviews & AI Mode?

AI Overviews provide users with quick, summarized answers pulled from various sources, using Google’s AI technology. AI Mode is an interactive feature that allows users to ask follow-up questions or use multimodal queries like images or voice inputs.

According to Google, these features are changing how people search. Users now ask longer, more specific questions and interact more deeply with the search engine—resulting in higher-quality clicks and more engaged website visits.

Core Optimization Strategies for AI-Powered Search

1. Content Quality Still Matters Most

Google emphasizes that “unique, non-commodity content” remains the foundation of good SEO. Your content must answer real questions, offer original value, and serve the needs of your audience.

• Avoid rehashing generic topics.

• Offer depth and detailed answers.

• Anticipate follow-up queries.

Stat to note: AI Overviews are more likely to pull from content that is authoritative, informative, and comprehensive.

2. Meet All Technical Requirements

Even the best content won’t rank if Google can’t access or understand it. Make sure:

• Googlebot is not blocked

• Pages load correctly and quickly

• All content is indexable

Focus on Core Web Vitals, mobile usability, and overall page experience. As Mueller writes, “People won't engage with a cluttered or hard-to-navigate page—even if the content is great.”

Key Technical Must-Haves:

• Mobile-friendly design

• Fast page load speed

• Clean and accessible HTML

• Structured data (Schema.org) for better interpretation

3. Use Multimedia for Multimodal Search

With Google Search becoming increasingly multimodal, visuals are more important than ever. Users can now ask questions based on images, videos, or screenshots.

How to optimize multimedia:

• Add high-quality images with descriptive alt text

• Include videos that explain your content

• Use image schema markup for better visibility

For ecommerce sites, regularly update:

• Your Google Merchant Center

• Business Profile for better product and local visibility

4. Manage Visibility in AI Results

You can still control how your content appears in AI Overviews & AI Mode using standard meta tags:

• nosnippet – hides all snippets

• data-nosnippet – hides specific parts

• max-snippet – limits snippet length

• noindex – removes page from index entirely

But remember, restricting content may reduce your presence in AI results.

Changing How You Measure Success

Clicks from AI Overviews are fewer but higher quality. Users landing from AI Mode tend to stay longer and engage more.

💡 Google’s insight: “We’ve seen that when people click to a website from search results pages with AI Overviews, these clicks are higher quality... users are more likely to spend more time on the site.”

Shift your focus to:

• Engagement time

• Conversions (sales, signups, downloads)

• Bounce rate and scroll depth

• Goal completions in analytics

Final Takeaways for AI SEO Success

Here’s a quick checklist to future-proof your content strategy for AI Overviews & AI Mode:

•  Write unique, in-depth content
•  Ensure technical accessibility
•  Add visuals and multimedia
•  Review your meta directives
•  Track meaningful engagement metrics

As Google continues to reshape search behavior through AI, these strategies will help your content stay relevant and competitive in both classic and AI-enhanced search results.

Is SEO Still Relevant in the AI Era? Absolutely – Here's Why

Search engine optimization (SEO) is not dead – even in the age of artificial intelligence. A new study based on 25,000 user searches shows that top Google rankings still influence AI-powered search engines like ChatGPT, Perplexity, and Google’s AI Overviews.

In this article, we’ll explain why SEO is still relevant in the AI era, how AI search works, and what strategies marketers should follow to stay visible in AI search results.

How AI Search Engines Use Traditional SEO Rankings

AI search tools don't just guess answers. They follow a structured process, and surprisingly, they still depend heavily on Google’s top-ranking pages. Here’s how the process works:

3 Steps AI Uses to Pick Answers:

1. Pre-selection:
   AI systems scan the web for top content, favoring pages with high Google rankings.

2. Content Extraction:
   They pull short, relevant answers from those pages that best match the question.

3. AI Synthesis:
   Using models like Google Gemini, AI combines those snippets into a final answer.

So, if your website ranks #1 on Google, you have a 25% chance of being featured in AI search results. Pages in the top 10 still have a good chance, but the lower you rank, the less visible you become.

What is the Query Fan-Out Effect?

Even if a page doesn’t rank for the main search term, it can still show up in AI answers. That’s thanks to a technique called Query Fan-Out.

 Here's how it works:

If a user types “SEO vs SEM,” AI will secretly run related searches like:

• “What is SEO?”

• “What is SEM?”

• “SEO vs PPC”

If your content ranks well for any of these related searches, it might be included in the final AI response – even if your main page isn’t in the top 10.

New Approach: Best Answers > Best Pages

Traditional SEO focused on creating big, detailed pages around one keyword.

Now, AI search prefers short, precise answers to specific questions.

For example, if your post covers everything about iPhone 15, but doesn’t clearly answer “What is the battery life of iPhone 15?”, you may rank in Google but miss out in AI results.

Actionable Tips: SEO Strategies for the AI Era

To stay ahead, marketers need to adapt SEO strategies for AI search engines. Here’s what you can do:

1. Keep Doing SEO

• Ranking in the top 10 of Google directly boosts your AI visibility.

• SEO is still your entry ticket into AI search.

2. Break Big Guides into Smaller Pieces

• Divide long posts into sections.

• Create dedicated pages for specific questions (like FAQs or How-Tos).

3. Optimize for Related Keywords

• Think of all possible ways users might ask the same question.

• Use tools like AnswerThePublic, Google Autocomplete, or Ubersuggest.

4. Write Clear, Simple Answers

• AI prefers plain, direct language over keyword stuffing.

• Use headings, bullets, and short paragraphs.

5. Track AI & Traditional Visibility

• Use tools to monitor how often your content appears in both search types.

• Adjust content based on performance.

Final Thoughts: SEO & AI Can Work Together

The research clearly shows that SEO is still relevant in the AI era. AI search engines are not replacing Google SEO – they are building on top of it.

The key shift is this:
Instead of just thinking “How do I rank higher?”, ask:
“How do I give better answers to real user questions?”

That small change in mindset can make a huge difference in the age of AI-driven search.

Summary

•  SEO still matters for AI visibility.

•  Top Google rankings help AI decide what to show.

•  AI search wants the best answers, not just long pages.

•  Update your strategy to match this new behavior.

Read More : Gemini 2.5 Pro & Flash: The Future of AI Reasoning and Developer Tools

Emmy-Winning Actress Loretta Swit of MAS*H Dies at 87 – A Tribute to a Timeless Icon | loretta-swit-mash-dead

Loretta Swit, Iconic ‘Hot Lips’ Houlihan of MAS*H, Passes Away at 87

Loretta Swit, best known for her iconic role as Major Margaret "Hot Lips" Houlihan on the legendary TV series MASH*, has died at the age of 87, her representative confirmed Friday.
The heartbreaking news, trending under the keyword “loretta-swit-mash-dead”, has saddened fans around the globe. The Emmy-winning actress passed away at her home in New York City just after noon, with initial reports indicating natural causes, although the coroner’s official report is pending.

A Star is Born – From Passaic to Primetime

Born Loretta Jane Szwed on November 4, 1937, in Passaic, New Jersey, to Polish immigrant parents, Swit pursued acting from an early age. She studied at the American Academy of Dramatic Arts before earning her first on-screen roles in the late 1960s.

Early Appearances on TV:

• Gunsmoke

• Mission Impossible

• Bonanza

• Hawaii Five-O

These early roles set the stage for a career that would influence generations of television fans.

Breakthrough in MAS*H: A Television Landmark

Swit’s big break came in 1972 when she was cast as Major Margaret Houlihan in MASH*, a CBS comedy-drama about a mobile army surgical hospital during the Korean War.

Key Stats:

• Aired from September 1972 to February 1983

• Swit starred in all 11 seasons

• One of only two original cast members, alongside Alan Alda, to remain throughout

• Earned 10 Emmy nominations (won 2) and 4 Golden Globe nominations

• Series finale watched by over 100 million viewers

This historic show remains one of the most iconic series in U.S. television history. The impact of MASH* and Swit’s portrayal of “Hot Lips” made her a household name, as seen in today’s trending keyword: loretta-swit-mash-dead.

Versatility Beyond the Small Screen

Swit’s career was not confined to a single role or medium.

Television Movie Highlights:

• A Killer Among Friends

• Dreams of Gold

• Hell Hath No Fury

She also originated the role of Chris Cagney in the pilot of Cagney & Lacey, though she couldn’t continue with the role due to scheduling conflicts with MASH*.

Stage Work:

• Broadway debut in Same Time, Next Year (1975)

• Performed over 1,200 shows of Shirley Valentine

• Won the prestigious Sarah Siddons Award

---

Film Appearances and Musical Specials

Swit’s charisma and range brought her into feature films and musical TV specials.

Film Roles Included:

• Freebie and the Bean (with James Caan)

• Race with the Devil (with Peter Fonda)

• S.O.B. (with Julie Andrews)

TV Musical Specials:

• The Muppet Show

• It’s a Bird, It’s a Plane, It’s Superman

---

A Heart for Animals: SwitHeart Animal Alliance

In her later years, Loretta Swit dedicated her time to animal welfare through the SwitHeart Animal Alliance.

Advocacy Highlights:

• Hosted Those Incredible Animals, aired in 30+ countries

• Founded SwitHeart Animal Alliance to prevent cruelty and protect habitats

• Created a coloring book and perfume to fundraise for animal causes

• Earned numerous awards for her humanitarian work

Swit became as much a symbol of compassion for animals as she was for comedic and dramatic excellence on screen.

---

A Lasting Legacy

Loretta Swit leaves behind a legacy that spans more than five decades of influence in television, theater, film, and humanitarian work.

The outpouring of love and tributes under the trending hashtag and search keyword "loretta-swit-mash-dead" is a testament to her enduring impact.

She will always be remembered as:

• A brilliant actress

• A pioneer in television

• A passionate animal advocate

• A kind-hearted soul who touched millions

Swit’s passing marks the end of an era, but her memory and contributions will live on — on screen, on stage, and in the hearts of animals and fans she fought so hard for.

---

Meta Description (for SEO):
Loretta Swit, Emmy-winning star of MASH*, has passed away at 87. Discover her life story, iconic roles, and legacy in TV and animal advocacy. | loretta-swit-mash-dead

How to Adapt SEO for Google’s Zero-Click Search and AI Overviews

The rise of AI Overviews and zero-click searches has created a seismic shift in the way SEO works. As users find what they need directly on the search results page without ever clicking through, marketers and website owners are facing one of the most disruptive eras in SEO history.

With over 30 years in the industry, digital marketing veteran Michael Bonfils recently shared his expert insights on this topic in a podcast with Gianluca Fiorelli. This article explores his strategies and shows how you can adapt your SEO strategy for survival — and success — in this new AI-powered search

world.

What Is Zero-Click Search?

Zero-click search refers to a search result where the user gets the answer directly on Google’s search page — no need to click on a website.

For example: Search “What’s the best smartwatch for Android?” and you’ll see a summary generated by AI at the top — no clicks needed.

These summaries, known as AI Overviews, are part of Google’s new search experience (SGE), powered by generative AI.

The Problem: Declining Clicks, Rising Costs

Michael Bonfils describes the current search environment as “the worst since 2019.” Here's why:

• Click-through rates (CTR) are down.

• Search volume is down.

• Cost-per-click (CPC) is at historic highs.

"This is a perfect storm — lower volume, lower engagement, but higher ad spend. ROI is being crushed," says Bonfils.

Marketers are turning to organic search to recover traffic, but even that’s shrinking due to AI Overviews providing answers directly on the SERP.

The Hidden Cost: Loss of Mid-Funnel User Data

One of the biggest casualties of zero-click search is the loss of mid-funnel data — that valuable “consideration” stage where users compare products, ask questions, and evaluate options.

According to Bonfils:

“We still see purchase-stage data, but everything in the middle — where people are researching — has disappeared into the black hole of AI conversations.”

Since users are now having full conversations with AI tools like Google SGE, Perplexity AI, or ChatGPT, this critical behavioral data is no longer passed to websites or analytics platforms.

That makes content planning, conversion strategy, and intent targeting incredibly difficult.

Shift Focus From Clicks to Visibility

In the zero-click era, clicks are no longer the gold standard. Instead, Bonfils suggests focusing on visibility metrics like impressions.

This means using tools like Google Search Console to measure:

• How often your pages appear for relevant queries

• Where your content ranks in AI Overviews or featured snippets

• Whether your brand is being seen, even if it’s not being clicked

Pro Tip:

Build query clusters (groups of similar search questions) and track your visibility across those groups. Then compare it to your competitors.

Why Traditional Keyword SEO Is Failing

Old-school SEO revolves around targeting keywords, writing content around those keywords, and ranking for them. But AI search doesn’t work that way.

Users now type or speak natural language questions, and AI responds with summaries, comparisons, and recommendations — not keyword-matched pages.

“Our business model has been built around keywords. Keywords are now gone,” Bonfils says.

Instead, marketers must pivot toward topical authority and question-driven content.

Introducing FAQ-Driven, Conversational Content

Rather than focusing on individual keywords, you should now optimize your pages to answer real questions — just like a conversation with AI.

Here’s how to adapt:

• Create a robust FAQ section for each product or service page.

• Answer long-form user questions naturally and thoroughly.

• Use structured data (Schema.org markup) to help Google understand your content.

• Cover entire topics, not just keywords — focus on user intent.

Questions are the new keywords. The answers are your SEO strategy.

Useful Links for Deeper Insights

If you want to explore this topic further, here are some authoritative resources:

• Google’s AI Overviews Announcement

• Search Engine Journal on AI & Zero Click

• Perplexity AI – A New Challenge for Google

• OpenAI ChatGPT – Redefining Search

• Google Search Console Guide

New Metrics & Strategy Cheat Sheet

Old SEO Focus	New SEO Focus
Keywords	Topics & questions
Click-through rate	Search impressions (visibility)
Traffic volume	Query coverage & presence
Product landing pages	Conversational, FAQ content
Ranking reports	Content discovery in AI answers

Key Takeaways for SEO in 2025

• Accept the reality of zero-click search — and plan accordingly.

• Visibility and presence are your new north stars, not just clicks.

• Abandon keyword obsession in favor of conversational optimization.

• Anticipate the questions your audience will ask — and answer them better than your competitors.

• Track impressions and visibility using Google Search Console.

Final Thoughts

SEO is not dead — it’s just evolving.

As AI Overviews become the norm and search behavior becomes more interactive, marketers must rethink their approach. Instead of fighting AI, align your content with it. Provide the most helpful, relevant, and human answers to the questions your audience is already asking.

Remember: You’re not just optimizing for Google anymore — you’re optimizing for how AI understands, interprets, and presents your content.

Read More :  SpaceX Starship Flight 9 Ends in Failure

SpaceX Starship Flight 9 Ends in Failure: Lessons From the Skies

 

The Ambitious Mission That Went Off Course

On May 27, 2025, SpaceX launched its much-anticipated Starship Flight 9 from its Starbase facility in Texas. The mission was packed with technical milestones, including a reusable Super Heavy booster, deployment of eight Starlink simulator satellites, and an experimental reentry with missing heat shield tiles. But just minutes into flight, things began to unravel.

While the spacecraft reached space, it soon began spinning uncontrollably due to a fuel leak, and the Super Heavy booster broke apart before completing its return. The payload door malfunctioned, and communication was lost with the upper stage. Ultimately, the vehicle likely disintegrated over the Indian Ocean.

Despite the failure, SpaceX remains undeterred. As the company stated, "Success comes from what we learn." Here's a closer look at what went right, what went wrong, and what it all means for the future of interplanetary travel.

What Was the Goal of Starship Flight 9?

A Step Forward in SpaceX’s Mars Ambition

SpaceX launched Starship Flight 9 as part of its long-term vision to make life multi-planetary. This test flight aimed to:

• Deploy 8 dummy Starlink satellites.

• Test heat-shield tiles with 100 removed to simulate damage.

• Reuse the Super Heavy booster for the first time.

• Collect reentry data for atmospheric control and speed management.

Starship and Super Heavy: A Powerful Duo

The Starship system includes two stages:

• Super Heavy booster (first stage): Equipped with 33 Raptor engines.

• Starship spacecraft (second stage): A 171-foot-tall upper stage with 6 Raptor engines.

Both are designed for full reusability — a critical step toward affordable and sustainable space travel.

What Went Wrong During the Launch?

Booster Breakup: A Major Setback

Although the booster separation went smoothly, problems soon followed. The Super Heavy booster, reused from Flight 7, broke apart just 6 minutes and 20 seconds into the flight, during its landing burn phase.

According to SpaceX, it was attempting a "hard splashdown" in the Gulf of Mexico, but lost integrity before achieving that.

“Confirmation that the booster did demise,” said SpaceX commentator Dan Huot during the webcast.

Attitude Control Lost: The Spinning Disaster

About 30 minutes after liftoff, the upper stage began to tumble due to a fuel tank leak that affected attitude control systems.

This loss of control:

• Prevented the payload door from opening.

• Canceled the Raptor engine relight test in orbit.

• Made reentry unpredictable, ending in probable disintegration over the Indian Ocean.

What SpaceX Learned From This Test

Despite the failure, there were key data gains:

• No significant heat-shield tile loss during ascent — a win for thermal protection system design.

• Valuable information on fuel system reliability and attitude control behavior.

• Performance review of reused Raptor engines — 29 of 33 engines were flight-proven.

Lessons from Booster Refurbishment

This was the first Super Heavy booster reuse, with only 4 engines swapped. SpaceX stated that these insights will help in designing systems that need no hands-on maintenance between flights.

What the Experts Are Saying

Elon Musk’s Take

After the mission, Elon Musk posted on X (formerly Twitter):

"Starship made it to the scheduled ship engine cutoff, so big improvement over last flight! Leaks caused loss of main tank pressure during the coast and re-entry phase. Lot of good data to review."

FAA Investigation Underway

The Federal Aviation Administration (FAA) has launched an official investigation. Their statement reads:

"There are no reports of public injury or damage to public property at this time."

The FAA will work closely with SpaceX to understand the root causes and ensure future flight safety.

 Why These Tests Still Matter

The SpaceX Philosophy: Fail Fast, Learn Faster

Failures like this are not setbacks for SpaceX — they are integral to the company’s developmental testing philosophy.

"We're going to learn, iterate, and iterate over and over again until we figure it out." — Jessie Anderson, SpaceX

By flying frequently and testing limits, SpaceX accelerates progress toward a fully reusable launch system that could revolutionize space access.

What’s Next for Starship?

According to Elon Musk, the next three Starship flights are already lined up, possibly launching every 3–4 weeks.

Future Tests May Include:

• A successful payload deployment.

• More heat-shield durability experiments.

• Tests of active cooling materials under reentry conditions.

• Further attempts to land the Super Heavy booster safely.

With each launch, the team gains critical feedback that pushes the limits of aerospace engineering.

 A Moment to Remember

Crowds watched from beaches and boats as the 400-foot Starship rose into the sky, leaving behind plumes of fire and hope.

Final Thoughts

While Starship Flight 9 didn’t achieve all its objectives, it marked a significant step forward. It demonstrated improved engine performance, better heat shield retention, and deeper understanding of vehicle dynamics under extreme conditions.

In the words of SpaceX:

"Developmental testing by definition is unpredictable. But it’s how we learn fastest."

Whether you're a space enthusiast or a curious observer, one thing is clear: every explosion, every spin, and every flame-out is paving the way toward a future where Mars is not a dream, but a destination.


Read More : DeepSeek AI Chatbot

Gemini 2.5 Pro & Flash: The Future of AI Reasoning and Developer Tools

Introduction

In March 2025, Google unveiled Gemini 2.5 Pro, its most advanced AI model to date. Building on this momentum, the company has introduced significant updates, including the launch of Gemini 2.5 Flash, enhancements to the Gemini API, and the introduction of the Deep Think mode. These developments position Gemini 2.5 as a leading solution for developers, researchers, and businesses seeking cutting-edge AI capabilities.Business Today

Key Features of Gemini 2.5 Pro

1. Advanced Reasoning with Deep Think

Gemini 2.5 Pro introduces "Deep Think," an experimental mode designed for complex problem-solving in mathematics and coding. This feature enables the model to consider multiple hypotheses before responding, enhancing its reasoning capabilities. Notably, Gemini 2.5 Pro achieved impressive scores on benchmarks like the 2025 USAMO and LiveCodeBench, demonstrating its prowess in handling intricate tasks.

2. Extensive Context Window

With a context window capable of processing up to 1 million tokens, Gemini 2.5 Pro can handle extensive documents, codebases, and multimedia content without losing context. This capacity is particularly beneficial for applications requiring deep understanding and long-form content analysis. 

3. Multimodal Capabilities

Gemini 2.5 Pro supports multimodal inputs, including text, images, audio, and video. This versatility allows developers to create applications that can interpret and generate diverse content types, enhancing user engagement and functionality. InfoQ

Enhancements in Gemini 2.5 Flash

Designed for efficiency and speed, Gemini 2.5 Flash has undergone significant improvements:

• Performance Boost: Enhanced reasoning, multimodality, and long-context understanding.

• Token Efficiency: Utilizes 20-30% fewer tokens in evaluations, reducing computational costs.Investopedia

• Accessibility: Available for preview in Google AI Studio and Vertex AI, with general availability expected in early June.

Developer-Centric Updates

1. Thought Summaries

To enhance transparency, Gemini 2.5 introduces "Thought Summaries" in the API and Vertex AI. This feature organizes the model's reasoning process into clear formats, aiding developers in understanding and debugging AI behavior.

2. Thinking Budgets

Developers can now control the computational resources allocated to Gemini's reasoning processes through "Thinking Budgets." This feature allows for a balance between response quality and latency, optimizing performance based on specific application needs.

3. MCP Tool Support

The Gemini API and SDK now support Model Context Protocol (MCP) tools, facilitating integration with open-source tools and enhancing the development of agentic applications.

New Capabilities

Native Audio Output

Gemini 2.5 introduces native audio output, enabling more natural and expressive conversational experiences. Features include affective dialogue, proactive audio responses, and support for multiple speakers across 24 languages.

Project Mariner Integration

Project Mariner's computer use capabilities are now integrated into the Gemini API and Vertex AI, allowing for automation of tasks such as web browsing and data entry. Companies like Automation Anywhere and UiPath are exploring these capabilities to enhance productivity.

Enhanced Security

Significant improvements have been made to protect against security threats, including indirect prompt injections. These enhancements make Gemini 2.5 Google's most secure AI model family to date.

Voice Search Optimization

Gemini 2.5's native audio output and multimodal capabilities make it well-suited for voice search applications. Its ability to understand and generate natural language responses enhances user experience in voice-activated systems.

Frequently Asked Questions (FAQs)

Q1: What is Gemini 2.5 Pro?
A: Gemini 2.5 Pro is Google's advanced AI model featuring enhanced reasoning capabilities, a large context window, and multimodal support.Business Today

Q2: How does Deep Think improve AI reasoning?
A: Deep Think allows Gemini 2.5 Pro to consider multiple hypotheses before responding, enhancing its ability to solve complex problems.

Q3: What is the context window in Gemini 2.5 Pro?
A: It refers to the amount of information the model can process at once, with Gemini 2.5 Pro supporting up to 1 million tokens.

Q4: How does Gemini 2.5 Flash differ from Pro?
A: Gemini 2.5 Flash is optimized for speed and efficiency, making it suitable for applications requiring quick responses.

Q5: What are Thought Summaries?
A: They are organized representations of the model's reasoning process, aiding developers in understanding AI decisions.

Q6: How does Gemini 2.5 enhance voice search?
A: With native audio output and natural language understanding, Gemini 2.5 provides more accurate and expressive voice interactions.

Q7: Is Gemini 2.5 available for developers?
A: Yes, through Google AI Studio and Vertex AI, with general availability expected in early June.

Conclusion

Google's Gemini 2.5 Pro and Flash represent significant advancements in AI capabilities, offering enhanced reasoning, multimodal support, and developer-friendly features. These models are poised to transform applications across various industries, from education to enterprise solutions. As AI continues to evolve, Gemini 2.5 stands at the forefront, delivering powerful tools for the future.

Read More : DeepSeek AI Chatbot

Source : Google Deepmind

Google’s AI Search is Reducing Traffic — But Is It Actually Helping Website Owners?

Have you noticed a drop in your website traffic recently? If yes, you're not alone. Many bloggers, publishers, and SEO experts have seen a fall in traffic since Google added AI Overviews to its search results.

But here’s the twist: Google says, “It’s not about less traffic, it’s about better quality clicks.”

So, let’s break it all down — in simple language — and see what this means for your website or online business.

What is AI Overview in Google Search?

Google’s new feature, called AI Overview (also known as Search Generative Experience or SGE), shows answers at the top of search results. It pulls information from websites and gives a full summary.

Example:

Old way:
User searched: “Best phone under ₹20,000”
→ Saw 10 links, clicked one.

Now (AI Overview):
User sees an AI-written answer at the top
→ May not click any link at all.

Why Is Website Traffic Going Down?

Because AI is giving direct answers, users don’t always click on websites anymore. This means:

• Less organic (free) traffic from Google

• Fewer page views

• Lower ad revenue

• Drop in affiliate sales

High-Search Keywords You Should Know:

• AI search traffic drop

• Google AI overview impact

• SEO for voice search

• Best content strategy 2025

• How to get traffic in AI search

Google Says “Clicks Are Better Quality” — What Does That Mean?

Google says that even if fewer people visit your site, the ones who do are more serious. They might:

• Spend more time on your site

• Read more pages

• Be ready to buy or take action

But… Google also admitted they don’t have public data to prove this yet.

So, for now, it’s just a claim.

What Can You Do? How To Get Your Website Ready for AI Search

If you want to get clicks in this new AI-driven search world, you need to change how you write and present content.

Easy SEO Tips for AI Search (and Voice Search too!):

1. Answer Real Questions Clearly

   • Example: “What is the best protein powder for beginners?” → Answer directly in the first paragraph.

2. Use Natural, Conversational Language

   • People speak differently than they type.

   • Say things like: “Which phone is best for photography under ₹30,000?”

3. Use Long-Tail Keywords

   • These are longer search phrases with less competition.

   • Example: “How to increase website traffic after Google AI update”

4. Add FAQ Sections to Your Blog Posts

   • Google often shows FAQs in AI Overviews.

5. Use Simple, Short Paragraphs

   • Easy to read and great for mobile and AI summaries.

6. Use Schema Markup for SEO & AEO

   • Add FAQ schema, HowTo schema, Article schema to your pages.

   • Helps Google understand your content better.

You can use tools like Google's Structured Data Helper to check schema.

AEO (Answer Engine Optimization): Future of SEO

What is AEO?
It means writing content in a way that search engines like Google’s AI can easily understand and show as an answer.

How To Do AEO:

• Use clear headings with questions (like this article)

• Give direct, short answers below each heading

• Use bullet points, steps, and examples

• Optimize for voice searches like:

  • “How do I fix my website’s traffic drop?”

  • “Best way to grow my blog after AI update?”

What About Google Ads?

Google says their ads are performing the same — even with AI Overviews.

That’s good news for advertisers, but bad news for small publishers. Why?

Because:

• Free clicks (organic traffic) are going down

• Paid ads are stable

• So now, many publishers may have to buy ads just to stay visible

It’s like saying: “You want to be seen? Pay up.”

Want to Get More Visibility? Do This:

1. Create expert-level, helpful content

2. Get links from trusted websites

   • Try guest blogging or expert roundups

3. Use internal links between your own blog posts

4. Add videos to your posts — Google shows video answers too

5. Update old blogs with AI-friendly formatting

Need help with backlinks? Read this guide:
Ahrefs Guide to Link Building

The Problem: No Way to Track AI Search Traffic

Google doesn’t show:

• How many visitors came from AI Overviews

• Which queries triggered AI results

• How AI clicks differ from normal clicks

So, you can’t even know what’s working.

What can you do instead?

Use tools like:

• Plausible Analytics (simple & privacy-focused)

• Matomo (open-source Google Analytics alternative)

• Search Console — still useful to track impressions and keywords

Final Tips: What Should You Do Next?

Do This Right Now:

• Start writing content like you’re answering someone’s question directly

• Use real, human language — like you're talking to a friend

• Add voice-search-friendly titles (e.g., “How do I…” or “What’s the best…”)

• Optimize every post with FAQs and schema

• Track your own results — don’t rely only on Google’s words

People Also Ask (Voice Search Style FAQs):

Q: Why is my website traffic going down after the AI update?

Because Google now answers many questions directly using AI Overviews, so users don’t click on websites as much.

Q: How do I get traffic from AI search?

Create helpful, clear content that answers real questions. Use long-tail keywords and structured data.

Q: What is AEO in SEO?

AEO stands for Answer Engine Optimization. It means writing content that search engines can easily use in direct answers.

Q: Is Google AI search good or bad for bloggers?

It depends. You’ll get fewer clicks, but if you write smart content, you can get better-quality visitors.

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