Som | Seo Specialist

A few months ago, my SEO workflow looked very different.

Every time I wanted to understand how users were interacting with a website, I had to jump between Google Analytics 4, Google Search Console, and Microsoft Clarity. Exporting excel sheet from GSC and spend hours reviewing session recordings, heatmaps, click patterns, bounce rates, and engagement Metrics.

The data was there. The problem was the time it took to turn that data into actionable SEO insights.

Then I discovered a better way. Connected Microsoft Clarity with Claude using MCP (Model Context Protocol), and what previously took hours now takes only minutes.

Instead of manually analyzing user behavior, I can ask Claude questions directly and receive insights instantly.

If you’re an SEO professional, content marketer, or digital strategist, here’s how you can do the same.

What is Microsoft Clarity?

Microsoft Clarity is a free user behavior analytics platform that helps you understand how visitors interact with your website.

Key Features

Session recordings

Heatmaps

Rage click detection

Dead click tracking

Scroll depth analysis

User journey insights

Why SEO Professionals Use It?

SEO is no longer just about rankings. Understanding how users engage with your content helps identify UX issues, content gaps, and conversion barriers that traditional SEO tools often miss.

What is Claude MCP?

MCP (Model Context Protocol) is a framework that allows Claude to connect with external SEO tools like GSC & GA4 etc and data sources.

Instead of manually exporting reports, MCP enables Claude to access information directly from connected platforms.

Benefits for Marketers and SEO Teams

Faster data analysis

AI-powered insights

Reduced manual reporting

Better decision-making

Streamlined SEO workflows

Why Connect Clarity with Claude?

When you connect Clarity with Claude MCP, you unlock a completely new way of analyzing user behavior.

Faster User Behavior Analysis

Ask questions in plain English instead of digging through dashboards.

Automated UX Insights

Claude can identify patterns that may be affecting engagement and conversions.

Content Optimization Opportunities

Quickly discover pages where visitors struggle, lose interest, or abandon the journey.

Prerequisites Before Setup

Before getting started, make sure you have:

A Microsoft Clarity account

A Claude account

Access to an MCP server

Required API permissions

Step 1: Create a Microsoft Clarity Project

Log in to Microsoft Clarity.

Create a new project.

Add your website URL.

Install the Clarity tracking script.

Verify data collection.

Once data starts flowing, you’re ready for the next step.

Step 2: Obtain Clarity API Credentials

Navigate to your Clarity project settings.

Open API access settings.

Generate or copy your API credentials.

Store them securely.

These credentials allow the MCP server to retrieve Clarity data.

Step 3: Configure MCP Server

Set up an MCP server that supports Microsoft Clarity integration.

Typically, you’ll need to:

Install the MCP server

Add your Clarity API link

Configure authentication settings

Save the connection

After configuration, the server becomes the bridge between Clarity and Claude.

Step 4: Connect Claude to the MCP Server

Inside Claude:

Open MCP settings.

Add your MCP server.

Authenticate the connection.

Enable Microsoft Clarity access.

Confirm successful integration.

At this stage, Claude should be able to access Clarity data through MCP.

Step 5: Verify Data Access

Run a simple query such as:

“Show my website’s recent Clarity data.”

If Claude returns user behavior insights, the connection is working correctly.

Step 6: Test SEO Queries Inside Claude

This is where the real magic happens.

Try asking:

Which pages have the highest rage clicks?

Claude can identify pages causing user frustration.

Which blog posts have poor engagement?

Find content that needs updates or restructuring.

Where are users dropping off?

Discover pages with UX or content issues affecting conversions.

Instead of manually reviewing dozens of recordings, Claude can summarize findings in seconds.

Common Connection Errors and Fixes

API Authentication Errors

Double-check API credentials and permissions.

No Data Returned

Ensure Clarity tracking is installed correctly and collecting data.

MCP Server Connection Issues

Verify server configuration and authentication settings.

Access Permission Problems

Confirm Claude has permission to access the connected MCP server.

Best Practices for SEO Teams

Analyze user behavior weekly

Combine Clarity insights with GSC data

Prioritize pages with high traffic and poor engagement

Use AI-generated insights to identify UX improvements

Validate recommendations before implementation

Create content updates based on actual user behavior

Final Thoughts

The biggest shift wasn’t getting more data. It was getting answers faster.

Earlier, I would spend hours moving between GA4, Google Search Console, and Microsoft Clarity trying to understand what users were doing on a website.

Today, after connecting Clarity with Claude MCP, I simply ask questions and receive actionable insights within minutes.

For SEO teams managing multiple websites, this isn’t just a productivity improvement.

If you work in SEO, you know this feeling.

You Open Google Search Console, See Hundreds of Keywords Getting impressions, pages ranking on page 2 or 3, CTR dropping on important queries… and then wonder:

“Which page should I update first?”

“What content should I add?”

“Where is the easiest SEO win hiding?”

I used to spend hours exporting GSC data into Excel, filtering rows, checking URLs manually, then writing content briefs.

Now I use Google Search Console + Claude, and it cuts my content audit time dramatically.

Here’s my exact workflow for finding content upgrade opportunities.

Why I Use Claude with Google Search Console?

Google Search Console tells you:

What keywords your pages rank for?

Which pages get impressions but Low Clicks?

Average position

CTR trends

But GSC doesn’t tell you:

Why the page isn’t performing better?

What content is missing?

Which sections should be expanded?

What questions users expect answered?

That’s where Claude helps. Claude can quickly analyze exported GSC keyword data and turn it into actionable content recommendations.

My Step-by-Step Process

Step 1: Open Performance Report in Google Search Console

Google Search Console → Performance → Search Results

Set date Range to Last 3 months.

Turn on:

Total Clicks

Total Impressions

Average CTR

Average Position

Step 2: Filter Pages with High Impressions but Low CTR

This is where hidden opportunities usually live.

I usually look for:

High impressions

Average Position between 5–20

Low CTR Compared to ranking

These Pages already have visibility. They just need a better push.

Step 3: Export the Data

Export page + query data as CSV or Google Sheets.

I usually include:

Query

Page URL

Clicks

Impressions

CTR

Position

Step 4: Upload the File to Claude

Then I upload the CSV into Claude and use a prompt like this:

Prompt:

“Analyze this Google Search Console export and identify content upgrade opportunities. Find pages with high impressions but low CTR or keywords ranking between positions 5–20. Suggest what content sections I should add, what FAQs are missing, and which keywords should be strengthened in the page.”

Step 5: Let Claude Identify Upgrade Opportunities

Claude usually finds patterns like:

Missing FAQ sections

Your page ranks for question-based keywords but doesn’t answer them directly.

Example:

“what is root canal treatment? ”

“is IVF painful?”

Easy win: Add FAQ blocks.

Missing keyword clusters

Your page ranks for related terms but doesn’t cover the topic deeply enough.

Example:

Page targets: “IVF Centre in Pune”

But impressions also come from:

IVF cost in Pune

IVF success rate Pune

best fertility doctor in Pune

Opportunity: Expand Content depth around those topics.

Weak CTR opportunities

Sometimes ranking is good, but title/meta description isn’t attractive enough.

Claude helps rewrite:

SEO titles

Meta descriptions

FAQ snippets

to improve CTR.

Step 6: Turn Insights into Content Updates

Then I Create a Quick content brief like:

Page to Update:

IVF Treatment Page

Add:

Cost section

FAQ section

Success rate breakdown

Internal links to related treatment pages

Updated title tag

Now instead of guessing what to update…

I’m updating pages based on real search demand from Google itself.

Why This Workflow Works?

Because you’re combining:

Google Search Console = Real user search behavior Claude = Fast Analysis + Content recommendations

That means:

better content decisions

faster audits

stronger keyword targeting

easier SEO wins

You’re not creating content blindly.

You’re improving pages based on what users are already searching for.

Final Thought

If you’re an SEO executive managing lots of pages, this workflow saves serious time. Before writing your next blog or refreshing old content:

Open Search Console first. Check where impressions already exist.

Then let Claude help you turn that data into content upgrades. That’s where some of the easiest organic growth opportunities are hiding.

Want More SEO + AI Workflows?

If you found this useful, check out my other blogs on AI + SEO workflows, including: Click here

SEO Without Keywords ? AI Era Has Started-

Secret Local SEO Strategy Using Google Search Console and Claude AI-

Connect GSC & GA4 to Claude Via MCP in 7 Steps

Claude AI hidden command Tricks Exposed

More practical workflows coming soon.

Want More SEO + AI Workflows?

If you found this useful, check out my other blogs on AI + SEO workflows, including:

Someone opens ChatGPT and types “What is the Voltage range of a MV panel?”

The answer appears in seconds.

A list of brands shows up. Your competitor is there. Another competitor is there. Maybe even a startup you’ve never heard of is there.

But your brand?

Nowhere.

And that moment is becoming the New SEO wake-up call.

For years, Digital Visibility Meant one thing: ranking on Google. You researched keywords, optimized landing pages, built backlinks, tracked rankings, and fought for page one.

That strategy still matters. But something big has changed.

Today, more people are Asking Questions Directly to AI platforms like ChatGPT, Perplexity, and Gemini instead of searching the traditional way.

& you can Track AI traffic of your website

They’re asking:

“Which CRM is best for startups?”

“Best IVF clinic in Pune?”

“Top marketing agencies for Manufacturing Industry brands?”

“Which software should I use for project management?”

And AI doesn’t respond with ten blue links.

It gives one answer. A curated recommendation.

A shortlist.

A direct response. If your brand isn’t part of that answer, you’re invisible in an entirely new discovery channel.

Why this happens

Large language models don’t think like search engines. They don’t simply reward whoever ranks #1 for a keyword.

They generate answers by understanding patterns across the web.

That includes:

trusted website citations

mentions across blogs, media, forums, and communities

structured website content

clear brand/entity signals

contextual relevance in a niche

consistency of information across multiple sources

In simple words:

AI tools recommend brands they can find, understand, and trust. So even if your website ranks on Google……

if your brand isn’t clearly connected to your topic across the wider web, AI may skip you completely. That’s why AI search visibility is becoming the next evolution of SEO.

How to fix it

The good news? This is not random.

And it’s not “luck.”

Brands can actively optimize for AI discoverability.

Here’s where to start:

1. Build topical authority, not just pages

Own a topic deeply. Don’t publish one blog on a subject and move on.

Create clusters of content around your niche so AI consistently associates your brand with that topic.

2. Earn mentions from trusted websites

AI models learn trust from authority.

Press features, niche blogs, guest posts, interviews, directories, podcasts, and industry publications all strengthen your digital footprint.

3. Create structured content AI can understand

Make your content easy to parse.

Use clear headings, FAQs, schema markup, definitions, comparisons, and direct answers.

The easier it is for machines to understand, the easier it becomes to surface.

4. Strengthen your brand entity across the web

Your website is only one signal.

Your LinkedIn, review platforms, media mentions, author bios, company profiles, and community discussions all contribute to how AI understands your brand.

5. Optimize for GEO, not just SEO

Generative Engine Optimization (GEO) is about being discoverable inside AI-generated answers.

Not just ranking.

Not just traffic.

But being recommended.

6. Answer the exact questions people ask AI

Think conversationally. Create content around real prompts users type into ChatGPT, Perplexity, and Gemini.

If people are asking the question, your brand should be the answer.

The takeaway

SEO is no longer just about ranking pages. It’s about training the web to recognize your brand as the answer.

Because in the AI search era, visibility doesn’t begin on Google’s first page.

It begins the moment someone asks a question……and whether AI mentions your name in the reply.

A story about a struggling clinic, a broken website, and a system that finally worked.

It was a Tuesday Morning when my Client Called me, Frustrated.

"We have a beautiful website. Good reviews on Google. We're spending ₹40,000 a month on ads. And last month only 12 people filled out the contact form. Do have a any secret Seo strategy "

Twelve. For a multi-specialty clinic with 11 doctors and a 6,000 sq ft facility.

I told him: "The problem isn't your ads. It's what happens before and after the click."

That conversation started a 90-day experiment. Today, that same clinic consistently crosses 100 contact form submissions every month organically.

Here's exactly what we did.

1. Stop Guessing. Start Listening to GA4.

The first thing I did was sit with their Google Analytics 4 dashboard  not to look at traffic numbers, but to listen to patient behavior.

Most healthcare marketers look at sessions and bounce rates. That's the surface level.

We went deeper:

Funnel Exploration Reports — Where exactly were patients dropping off before reaching the contact form?

Scroll Depth Events — Were they reading service pages or bouncing at 20%?

Engagement Time by Page — Which doctor profile pages held attention the longest?

Conversion Path Analysis — What was the typical journey from first visit to form fill?

What GA4 told us was brutal but clear:

85% of users who landed on the "Orthopedics" service page left without scrolling past the fold. The contact form was buried 1,400px below.

Users from "near me" searches had 3x higher form completion rates than users from generic health blog traffic.

Mobile users (67% of all traffic) faced a form that required 11 fields on a 5-inch screen.

GA4 wasn't just analytics. It became our patient empathy engine.

2. ChatGPT Became Our Content Strategist(But Not How You Think)

Here's where most people get this wrong.

They use ChatGPT to write content. We used it to think about content strategy first.

Step 1: We built a symptom-to-search map.

We fed ChatGPT this prompt:

"You are a patient in Pune with knee pain. List 30 questions you would type into Google at different stages from first symptom to booking a doctor."

The output was gold. Questions like:

"why does my knee hurt when I climb stairs"

"is knee replacement surgery safe after 60"

"best orthopaedic doctor in Pune for sports injury"

"what happens during a knee replacement consultation"

These weren't keywords a typical SEO tool would surface. These were real patient anxieties and no one was answering them.

Step 2: We Mapped Each Question to a content format.

Using ChatGPT Again, We Categorized each question by:

Intent (informational / navigational / transactional)

Funnel stage (awareness / consideration / decision)

Best content format (blog / FAQ / service page / doctor profile)

Step 3: We Created Content with a Conversion Hook.

Every informational blog post ended with a specific, low-friction CTA:

"Still unsure if you need surgery? Our orthopaedic specialists offer a 15-minute free phone consultation. Fill the form below and we'll call you back within 2 hours."

Not "Contact Us." Not "Book Appointment." A human promise with a time commitment.

3. The SEO Architecture That Made Google Trust Us

Healthcare is a YMYL (Your Money Your Life) category. Google holds it to a higher standard. E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness  isn't a buzzword here. It's the algorithm.

Here's what we restructured:

Topical Authority Clusters

Instead of random blog posts, we built content silos:

Pillar Page: "Complete Guide to Knee Pain Treatment in Pune"

Cluster Pages: Causes, Diagnosis, Non-surgical options, Surgery, Recovery, Cost, Doctor selection

Each cluster page linked back to the pillar and to the contact form with a contextual CTA

Doctor-Led Content

Each blog post was attributed to a specific doctor with:

Photo, qualification, years of experience

A quote or insight from them ( reviewed and approved by the doctor)

Link to their profile page (which had its own conversion CTA)

Schema Markup for Healthcare

We added:

MedicalOrganization schema

Physician schema for each doctor

FAQPage schema on every service page

LocalBusiness schema with NAP consistency

GA4 showed us a 34% increase in rich result clicks within 6 weeks of schema implementation.

4. The Contact Form Was the Silent Killer

Here's a confession: the form was losing us patients every single day.

GA4's form interaction events showed:

Average time to complete the form: 4 minutes 20 seconds (on mobile)

Drop-off at field 7 of 11: 61% Abandonment

Most abandoned field: "How did you hear about us?"  a field the clinic needed for internal tracking, not the patient

We made three changes:

Reduced fields from 11 to 5 — Name, Phone, Concern (dropdown), Preferred Date, Preferred Doctor

Added a trust line above the form: "We respond within 2 hours. Your information is 100% confidential."

Moved the form above the fold on mobile using a sticky "Book Consultation" button that opened a slide-up form

Form completions jumped 218% in the first month.

5. The GA4 + ChatGPT Monthly Review Loop

This is what separates a one-time win from a consistent 100+ submissions month.

Every month, we run a 90-minute strategy session using this exact loop:

Week 1- GA4 Audit:

Which pages drove the most form submissions last month?

Which new landing pages underperformed? (Check scroll depth + exit rate)

Which traffic sources had the highest conversion rate?

Week 2 - ChatGPT Content Sprint:

Feed GA4 top-performing page topics into ChatGPT

Ask: "What related questions are patients asking that we haven't covered yet?"

Generate 4–6 new content briefs

Week 3 - Content Creation + Optimization:

Update underperforming pages with new CTAs, better headers, internal links

Publish 2 new cluster articles

Week 4 - Technical + Local SEO Check:

Google Business Profile posts updated

Review responses written (using ChatGPT for tone consistency)

Core Web Vitals check via GA4 + PageSpeed Insights

After 90 Days Later my Client Called me Again on Day 91.

"We had to hire a second front-desk person to manage the inquiry volume."

That's the best metric I've ever heard.

What You Can Steal From This Strategy Right Now

If you're a healthcare marketer, clinic owner, or digital strategist, here's your Morning to-do list:

Open GA4 → Explore → Funnel Exploration → Map your Contact form journey

Ask ChatGPT to generate 30 patient questions for your top 3 specialties

Audit your contact form — remove every field that serves you, not the patient

Add a response time promise above your contact form

Build one topical content cluster this month pillar + 5 cluster pages

Add FAQPage schema to your top 5 service pages

If you're a healthcare brand struggling with low online leads, I'd love to hear your story. Drop a comment or send me a message Happy to do a Quick Audit.

What is Tumblr?

Tumblr launched in 2007 as a microblogging platform part social network, part creative diary. But here's what matters to you: every Tumblr blog lives on one of the web's most authoritative domains, posts are fully indexable by Google, and the competition for organic rankings from Tumblr content is remarkably thin. That's not a nostalgia play. That's an opportunity.

Tumblr search tips for SEO

Tumblr's internal search is entirely tag-driven. If someone searches "vintage typography," Tumblr surfaces posts using that exact hashtag not posts that just mention the words in the body.

This creates a dual-track strategy: write body content that satisfies Googlebot, and use precise tags that feed Tumblr's native discovery engine. One post, two audiences. Also note that Tumblr only registers the first 20 tags on any post prioritize ruthlessly.

Make sure Google can find your Tumblr blog

Before optimizing a word, check one setting: "Hide your blog from search results" must be unchecked in your blog preferences. It's off by default for new blogs, but easy to miss during setup.

From there, treat your Tumblr like a microsite verify your sitemap at yourblog.tumblr.com/sitemap.xml, submit it to Google Search Console, and confirm your robots.txt isn't blocking Googlebot.

Start with keyword research

Tumblr audiences are in discovery mode, not buying mode. Long-tail, interest-based, niche-specific keywords outperform commercial head terms here. Run your standard keyword research for Google-facing terms, then cross-reference those terms directly in Tumblr's search to gauge tag activity and reblog volume.

Build a core list of 5–8 tags per content theme and use them consistently topical tag authority compounds over time, just like domain topical authority does in Google

On-page optimization

Your post title is your H1. Lead with the target keyword. Write substantive body content Google indexes it, and thin posts rank nowhere. Add alt text to every image.

Your first tag is your primary keyword; subsequent tags cover semantic variations. One clean, keyword-led post beats ten undercooked ones every time.

Off-page optimization

Every reblog creates a new indexed URL with a link back to your original post. At scale, this functions exactly like an organic link-building campaign without a single outreach email. Your off-page strategy is therefore a content virality strategy: create posts worth reblogging, engage your niche community, and cross-promote from your other properties to seed early momentum.

Link your posts internally

Most Tumblr bloggers never link one post to another. That's your edge. In every new post, reference and link 2–3 older related posts. This distributes crawl budget, passes link equity to lower-visibility content, and signals topical depth to Googlebot.

Build one pillar post on your core topic and link back to it consistently. That's your content cluster adapted for Tumblr, but following the same logic that works everywhere else.

What It Told Me Changed My Entire Strategy.

Every Monday morning, I ran the same exhausting ritual:

Open Google Analytics.

Open Search Console.

Export data to spreadsheets.

Stare at numbers for an hour hoping for insight.

Write a “strategy update” that described the past, not the future.

It felt productive. It wasn’t.

Then one afternoon, I connected Claude to both GSC and GA4 via MCP (Model Context Protocol) and asked it one question to claude.ai :

“What’s hurting our organic growth right now and what should we fix first?”

In 40 seconds, I had an answer that would’ve taken me three hours to piece together manually.

That was the day My Monday mornings changed forever.

What Is MCP And Why Should You Care?

Model Context Protocol (MCP) is Anthropic’s open standard that lets Claude connect directly to external tools and data sources in real time.

Think of it like giving Claude a live window into your business data.

Instead of copy-pasting metrics into a chat and asking “what does this mean” Claude pulls the data itself, reasons over it, and returns insights you can actually act on.

No exports. No pivot tables. No Monday morning rituals.

How to Connect GSC + GA4 to Claude via MCP (7 Steps)

1. Download Claude for Desktop.

2. Go to sequel.sh connect your Google Search Console and GA4, then generate your API key. You’re 50% done.

3. Open Desktop Claude → Click Customize.

4. Click on Connectors.

5. Click Add Custom Connector.

6. Copy your link from sequel.sh and paste it in.

7. Start asking strategy-level questions.

That last step is where everything changes. Not:

“What were my sessions last week?”

But questions like:

1. Which pages have high impressions but low CTR and what’s the likely reason?

2. Where are users dropping off in our funnel, and which traffic source has the worst retention?

3. What content is driving conversions vs. just traffic and how do we do more of the first?

What Actually Changes When Claude Has Live Access

Before MCP, I was analyzing data.

After MCP, I was receiving strategy.

Here’s a real example. I asked Claude:

“Look at our top 20 landing pages in GA4 and cross-reference with Search Console. Which ones have ranking potential we’re leaving on the table?”

It came back with a prioritized list pages sitting in positions 8–15, decent CTR, low bounce, but thin content. It flagged exactly which ones to update first, and why, based on traffic behavior and search visibility data simultaneously.

That’s not a report. That’s a roadmap.

4 Strategy Benefits Nobody’s Talking About

1. You stop describing the past and start planning the future.

Most analytics work is retrospective. MCP + Claude flips it you’re using historical patterns to make forward-looking decisions.

2. You eliminate the interpretation gap.

Data doesn’t tell you what to do. Claude does. The gap between “here’s the number” and “here’s what it means for your strategy” disappears completely.

3. Your team moves faster.

Imagine every team member content, SEO, paid, product querying live data in plain English and getting a strategic answer in seconds. No analyst bottleneck. No waiting for the weekly dashboard.

4. You catch what you’d never notice manually.

Claude cross-references patterns across datasets at a speed no human can match. It found a traffic drop on our best-performing page caused by a Core Web Vitals regression buried three layers deep in the data. We never would have caught it ourselves.

The Bigger Picture

We talk a lot about AI replacing jobs.

But what I’ve actually seen is different.

MCP doesn’t replace the SEO strategist. It amplifies the SEO Specialist.

The person who used to spend 60% of their time gathering and formatting data now spends 90% of their time on decisions.

The 10x marketer isn’t someone who works harder. It’s someone who has better tools and knows how to ask better questions.

Connecting Claude to your Google data via MCP isn’t a technical upgrade.

It’s a strategic one.

Ready to kill your Monday morning spreadsheet ritual?

Set this up in under 10 minutes — and ask your first strategy question today.

I remember the exact moment I realized the rules had changed.

It was a Tuesday morning. A potential client called and said, "I found you through ChatGPT."

Not Google. Not LinkedIn. Not a referral. ChatGPT.

I asked him what he searched. He said: "Who are the best seo specialist for B2B Manufacturing industry?"

And my name came up.

I hadn't run a single ad. I hadn't gamed any algorithm. But I had unknowingly been doing something right. That call made me obsessed with one question: How do you rank in AI Search?

What I Learned After 6 Months of Obsessing Over It

AI Search Engines ChatGPT, Perplexity, Gemini, Claude don't work like Google. They don't crawl keywords. They don't reward backlink pyramids. They read the web like a researcher reads a library. They look for authority, clarity, and trust.

Here's what actually moves the needle:

1. Be the Answer, Not Just the Content

Most content answers around the question. AI rewards content that answers it directly and completely.

When someone asks an AI "how to reduce churn in SaaS," it doesn't want a 3,000-word post with 14 headers. It wants a clear, structured, expert response the kind a trusted advisor would give in a boardroom.

Write like you're being quoted, not like you're being indexed.

2. Build Topical Authority - Not Just Traffic

AI models are trained on patterns of trust. If your name, brand, or website appears consistently and credibly across a specific topic, AI starts associating you with that topic.

One viral post won't do it. Consistent depth across a niche will.

Cover your subject from every angle beginner to advanced, tactical to strategic, problem to solution.

3. Structured Data and Clear Entities Matter More Than Ever

AI needs to understand who you are, what you do, and who you serve without guessing.

Use schema markup. Have a clear About page. Get mentioned in reputable publications. Create a digital footprint that screams: "This person is a real, trusted expert."

4. Get Cited in the Places AI Trusts

AI models pull from sources they consider credible Reddit threads, industry publications, documentation pages, YouTube transcripts, well-structured blogs.

Be present where the training data lives. Answer questions on forums. Publish on credible platforms. Get interviewed on podcasts that get transcribed online.

5. Optimize for Conversational Queries

People don't type "content strategy B2B" into ChatGPT. They ask: "How do I build a content strategy for a B2B startup with no budget?"

Think in full questions. Write content that mirrors how real humans speak when they need help.

The Mindset Shift That Changes Everything

SEO was about chasing algorithms. AI Search is about earning trust.

The brands and creators who will win the next decade aren't the ones with the most backlinks. They're the ones who are genuinely, unmistakably the best answer in the room.

Start writing like that. Start showing up like that.

And one day, someone will call you and say "I found you through ChatGPT."

Most businesses overcomplicate SEO strategy.

They spend weeks on audits, expensive tools, endless spreadsheets, and still don’t know:

❌ What’s actually working ❌ What’s hurting rankings ❌ What to do next

But here’s a simpler way to create a data-backed SEO strategy using Claude AI and your Google Search Console report.

Press enter or click to view image in full size

Most businesses overcomplicate SEO strategy.

They spend weeks on audits, expensive tools, endless spreadsheets, and still don’t know:

❌ What’s actually working ❌ What’s hurting rankings ❌ What to do next

But here’s a simpler way to create a data-backed SEO strategy using Claude AI and your Google Search Console report.

As you can See Below this website i have started from scratch and results are unbelievable as you can see.

Step 1: Download Your GSC Report

Go to your Google Search Console account and export the last 3 months’ performance data.

Download: 1. Queries 2. Pages 3. Clicks 4. Impressions 5. CTR 6. Average Position

This report already contains the answers to your SEO problems.

Most people just don’t analyze it properly.

Step 2: Upload the Report to Claude

Now upload the exported file into Claude AI.

This is where things get interesting.

Claude can quickly identify:

Which keywords are performing well

Which pages are losing traffic

Low CTR opportunities

High impression keywords stuck on page 2

Content gaps

Technical SEO patterns

Pages needing optimization

Quick-win opportunities

Step 3: Use This Prompt

click here -> Paste this prompt into Claude: Advanced SEO Analysis & 30-Day Action

That’s it.

Within minutes, Claude can generate: 1. SEO insights 2. Growth opportunities 3. Keyword optimization suggestions 4. Content improvement ideas 5. Internal linking recommendations 6. Technical SEO priorities 7. A structured 30-day SEO roadmap

Why This Works So Well

Most AI-generated SEO strategies fail because they’re generic.

But when you feed Claude real GSC data, the strategy becomes specific to YOUR website.

Instead of random SEO advice, you get:

Data-driven recommendations

Real keyword opportunities

Practical actions based on actual search performance

This makes the strategy far more actionable.

Important Tip

AI should assist your SEO strategy, not replace expertise.

Always validate:

Search intent

Business relevance

Competitor landscape

Conversion potential

EEAT signals

The best results happen when AI + human SEO thinking work together.

Final Thoughts

Your Google Search Console data is one of the most underused SEO assets.

And with tools like Claude, you can turn raw search data into a practical growth strategy in minutes.

No complicated dashboards. No massive SEO audits. No guesswork.

Just real data + smart prompting.

For years, SEO professionals built strategies around one thing: keywords.

Find high-volume terms. Analyze difficulty. Create optimized content. Rank on Google.

But AI search is changing the rules faster than most marketers realize.

With platforms like Google AI Overviews, OpenAI ChatGPT, Microsoft Copilot, and AI-powered search experiences, users are no longer searching with robotic keywords like:

“best crm manufacturing company india”

Instead, they ask:

“What CRM is best for a mid-sized manufacturing company with a small sales team?”

That shift changes everything.

Traditional keyword research is not dead — but isolated keyword targeting is becoming less effective.

SEO is moving from keyword matching to intent understanding.

What AI Search Really Wants

AI search engines are trained to understand:

Context

User intent

Topical relationships

Real expertise

Conversational queries

This means pages optimized only for exact-match keywords may lose visibility if they fail to answer the complete user problem.

For example:

Old SEO strategy:

Create separate pages for: “best ERP software” “ERP software India” “ERP for manufacturing”

Modern SEO strategy:

Build one authoritative resource solving the entire problem: Features Pricing Industry use cases Integration concerns Buyer comparisons FAQs Expert insights

AI systems reward depth, clarity, and usefulness.

What SEO Professionals Should Focus On Now

1. Topic Clusters Over Single Keywords

Instead of chasing one keyword per page, create content ecosystems around a topic.

Become the best answer on the internet for that subject.

2. Search Intent Mapping

Understand:

Why is the user searching?

What stage are they in?

What follow-up questions will they ask?

AI search favors content that satisfies multiple layers of intent.

3. Brand Authority Matters More

AI-generated answers often cite trusted brands repeatedly.

That means:

Strong EEAT

Consistent publishing

Expert authorship

Industry mentions

Original research

…are becoming SEO assets.

4. Conversational SEO Is Growing

Optimize for natural-language questions, not just short-tail phrases.

Think:

“How do manufacturing companies reduce downtime with ERP?” instead of:

“manufacturing ERP software”

5. User Experience Is SEO

AI systems increasingly evaluate:

Engagement

Readability

Structure

Helpful formatting

Real value

The best SEO content now reads like expert consulting, not keyword stuffing.

The Future of Keyword Research

Keyword research is evolving into audience research.

The real question is no longer: “What keyword should I rank for?”

It’s: “What problem is my audience trying to solve?”

SEO professionals who adapt early will dominate AI search.

SEO in 2026 doesn’t look like the SEO we spent the last decade mastering.

For years, rankings were the scoreboard. Keywords were the strategy. Traffic was the win.

Now? AI is answering the question before users even click.

That shift is exactly what stood out across google on how AI Search is transforming SEO.

While each post approached the topic differently, together they reveal a larger truth: search is no longer just about visibility inside search engines. It’s about visibility inside AI-generated answers.

One post emphasized how Google AI Overviews are reducing traditional organic clicks by summarizing information directly in search results.

Another focused on changing user behavior, where people increasingly rely on conversational AI tools instead of typing fragmented keyword queries.

The third highlighted the growing importance of authority, context, and trust signals in determining which brands AI systems reference.

Different perspectives. Same conclusion.

SEO is evolving into GEO: Generative Engine Optimization. And that changes everything.

Traditional SEO taught us to optimize pages for algorithms. GEO requires us to optimize information for AI interpretation.

That means keyword stuffing, thin content, and isolated blog strategies are becoming less effective. AI-powered search engines don’t just scan for keywords anymore.

They evaluate clarity, topical depth, credibility, entity relationships, user intent, and contextual relevance.

In simple terms:

AI search engines are trying to understand information the way humans do.

This is why many SEO professionals are seeing a strange pattern in 2026: Impressions are increasing, but clicks are dropping.

Google AI Overviews often answer informational queries instantly. Users get summaries without visiting websites. At first glance, that feels like a threat to SEO.

This is forcing the industry to finally prioritize quality over manipulation.

The brands winning in AI Search today are not necessarily the ones publishing the most content. They are the ones building the strongest topical authority.

That includes:

Publishing experience-driven insights instead of generic rewrites

Structuring content clearly for AI comprehension

Building multi-format content ecosystems across blogs, LinkedIn, YouTube, and communities

Strengthening author credibility and brand trust

Answering deeper follow-up questions users actually ask AI systems

That idea matters more than most marketers realize.

In AI Search, your content may influence answers even when users never directly visit your page. Your expertise becomes part of the AI discovery layer.

This means SEO success in 2026 should no longer be measured only through rankings and clicks. It should also include:

AI citation visibility

Brand mentions in AI-generated responses

Entity recognition • Assisted conversions from AI discovery journeys

Topical authority across platforms

The future of SEO belongs to brands that communicate expertise clearly enough for both humans and AI systems to trust.

And honestly, this may be the healthiest evolution search has had in years.

Because the era of gaming algorithms is slowly being replaced by the era of genuinely useful information.

The question for SEO professionals now is no longer:

“How do I rank?”

It’s: “How do I become the source AI trusts to answer users?”

That’s the real SEO strategy for 2026.

AI traffic is quietly becoming one of the most interesting traffic sources in SEO right now.

A few years ago, most website visits came from Google Search, social media, or direct traffic. But now? People are discovering websites through AI tools like OpenAI’s . ChatGPT, Perplexity, Gemini, and other AI assistants that recommend links directly inside conversations.

And honestly, many SEO professionals still aren’t tracking this traffic correctly inside Google Analytics 4 (GA4).

Google Analytics 4 (GA4) can be used as an SEO tool because it helps SEO professionals track website traffic, user behavior, conversions, and performance from search engines and AI platforms.

If you’re doing AI SEO, GEO (Generative Engine Optimization), or modern content marketing, this is something you should start paying attention to now.

What Is AI Traffic?

AI traffic refers to visitors landing on your website from AI-powered tools and assistants.

This can include:

ChatGPT referrals

Perplexity AI citations

Gemini link clicks

Copilot recommendations

AI browser assistants

AI-generated search experiences

For example, if someone asks ChatGPT:

“Best SEO tools for bloggers”

…and your article gets recommended with a clickable link, that visit becomes AI referral traffic.

The interesting part? This traffic is often highly targeted because users already have strong intent when asking AI tools questions.

Why AI Traffic Tracking Matters for SEO

Traditional SEO is changing fast.

Search engines are moving toward AI-generated answers, summaries, and recommendation systems. That means SEO professionals can no longer rely only on keyword rankings and organic clicks.

Tracking AI traffic helps you understand:

Which AI platforms mention your content

What pages attract AI-driven visitors

How engaged those users are

Whether AI visibility is generating conversions

Which content performs well in AI ecosystems

In many cases, AI visitors spend more time on pages because they arrive with context already built from the AI conversation.

That’s a huge insight for content strategy.

How AI Tools Like ChatGPT Send Traffic

Most AI tools now include clickable source links.

When users click those links, GA4 can record the referral source just like any other traffic channel.

Examples of referral sources may include:

chatgpt.com

perplexity.ai

gemini.google.com

copilot.microsoft.com

The challenge is that GA4 doesn’t automatically group all AI traffic into one neat channel.

So you need custom tracking setups.

How to Track AI Traffic in GA4

Here’s the practical part.

1. Open the Traffic Acquisition Report

Inside GA4:

Reports → Acquisition → Traffic Acquisition

This report shows where your users are coming from.

Now look at:

Session source

Session source/medium

Referral traffic

You may already notice traffic from AI platforms.

2. Create an AI Traffic Filter

One of the easiest ways to track AI traffic is by creating a custom filter or exploration report.

Include referral sources like:

chatgpt.com

perplexity.ai

openai.com

gemini.google.com

claude.ai

bing.com/chat

This helps group AI-driven visits into one view.

It makes AI traffic tracking much cleaner.

3. Use Explorations in GA4

GA4 Explorations are underrated for SEO analysis.

Create a custom exploration using:

Session source

Landing page

Engaged sessions

Average engagement time

Conversions

Then filter only AI-related referral sources.

This helps identify:

Which blog posts attract AI mentions

Which pages convert best

What content AI systems prefer referencing

4. Create a Custom Channel Group

Advanced SEO teams are now creating dedicated “AI Traffic” channel groups inside GA4.

Instead of mixing AI referrals with standard referral traffic, you can create a separate reporting category specifically for AI tools.

This becomes extremely useful for client reporting and SEO dashboards.

Especially if you’re offering AI SEO services.

AI Traffic Is Becoming the Next SEO Metric

The biggest shift happening right now is this:

SEO is no longer just about ranking. It’s about being referenced by AI systems.

That changes how we think about visibility.

Content that is:

highly structured

trustworthy

well-formatted

conversational

citation-friendly

…has a better chance of getting surfaced inside AI responses.

Creating high-quality blog content is only part of a successful SEO strategy. If search engines struggle to crawl, index, or load your website efficiently, even great content can remain invisible.

That’s where technical SEO tools become essential. These tools help bloggers improve site performance, monitor indexing issues, optimize page speed, and strengthen overall search visibility without requiring advanced coding knowledge.

Why Technical SEO Matters for Bloggers?

Technical SEO focuses on the behind-the-scenes elements that affect how search engines understand your website. A fast, organized, and error-free blog improves user experience while helping Google crawl pages more efficiently. For bloggers, this can mean higher rankings, increased organic traffic, and better engagement.

The good news is that several beginner-friendly SEO tools can simplify the process.

Google Search Console - Best for Monitoring Website Health

One of the most important free tools for bloggers is Google Search Console. It helps you track how your blog performs in Google Search results while identifying indexing problems, mobile usability issues, and crawl errors.

Best Features:

- Monitor indexed pages

- Submit XML sitemaps

- Identify broken pages

- Track keyword impressions and clicks

Best For:

Bloggers who want direct insights from Google about how their site appears in search results.

Compared to other SEO tools, Google Search Console focuses more on technical performance rather than competitor analysis, making it an essential starting point.

Screaming Frog SEO Spider - Best for Technical Site Audits

Screaming Frog is a powerful website crawler that scans your blog similarly to how search engines do. It detects broken links, duplicate content, redirect chains, and missing metadata.

Best Features:

- Crawl entire websites

- Detect technical SEO issues

- Analyze internal linking

- Find duplicate page titles and descriptions

Best For:

Bloggers managing medium-to-large websites who want detailed technical audits.

While Google Search Console highlights problems, Screaming Frog digs deeper into the structure of your website.

GTMetrix - Best for Improving Site Speed

Website speed directly affects SEO rankings and user experience. GTmetrix analyzes loading times and provides recommendations to improve performance.

Best Features:

- Page speed testing

- Core Web Vitals analysis

- Performance scoring

- Optimization recommendations

Best For:

Bloggers wanting faster page load times and lower bounce rates.

Compared to general SEO platforms, GTmetrix focuses specifically on performance optimization, which is critical for image-heavy Tumblr blogs.

Ahrefs Webmaster Tools - Best for Backlink and Crawl Insights

Ahrefs Webmaster Tools combines technical SEO monitoring with backlink analysis. Bloggers can audit their site while also understanding how external links impact rankings.

Best Features:

- Backlink tracking

- SEO health scores

- Internal linking suggestions

- Crawl issue reports

Best For:

Bloggers interested in combining technical SEO with content growth strategies.

Unlike Screaming Frog, Ahrefs offers stronger backlink analysis and keyword-related insights alongside technical reporting.

PageSpeed Insights - Best for Mobile Optimization

Google’s PageSpeed Insights evaluates how well your blog performs on desktop and mobile devices. Since mobile usability heavily influences rankings, this tool is especially valuable for Tumblr creators.

Best Features:

- Mobile performance analysis

- Core Web Vitals reporting

- Speed improvement suggestions

- User experience recommendations

Best For:

Bloggers prioritizing mobile SEO and responsive performance.

PageSpeed Insights is simpler than GTmetrix, making it more beginner-friendly for newer bloggers.

Final Thoughts

Technical SEO may sound intimidating, but the right tools make optimization far more manageable. Whether you’re fixing crawl issues with Screaming Frog, improving loading speed through GTmetrix, or monitoring indexing with Google Search Console, each tool serves a unique purpose in building a stronger blog.

The most effective strategy is combining multiple tools to create a faster, healthier, and more search-friendly website.

If you found this guide helpful, explore more of our older blog posts for additional SEO tips, blogging strategies, and content growth ideas designed specifically for modern bloggers.

In 2026, Google Search is no longer just a “search engine” that matches keywords with websites. It has evolved into an intelligent digital discovery system powered by advanced AI, real-time user behavior analysis, semantic understanding, multimedia indexing, and predictive search technologies.

The way Google processes information today is dramatically different from how it worked just a few years ago.

For businesses, bloggers, marketers, and content creators, understanding how Google Search works in 2026 is essential because traditional SEO methods alone are no longer enough.

Google now focuses more on intent, trust, experience, authority, and usefulness rather than simple keyword optimization.

The Evolution of Search in 2026

Earlier versions of Google heavily depended on keywords, backlinks, and page optimization. While these factors still matter, Google Search in 2026 uses Artificial Intelligence as the core engine behind ranking and content discovery.

Modern Google Search combines:

AI-driven understanding

Natural language processing

User intent prediction

Real-time indexing

Voice and visual search

Personalized search experiences

Behavioral analytics

Trust evaluation systems

Instead of asking, “Which page contains this keyword?”, Google now asks:

“Which content genuinely solves the user’s problem in the best possible way?”

That single change defines modern search.

How Google Understands Search Queries

In 2026, Google uses advanced language models to understand human conversations almost like a real person. Search queries are no longer treated as isolated keywords.

For example, if someone searches:

“Best budget phone for video editing and gaming”

Google understands multiple layers of intent:

The user wants a smartphone

Budget matters

Gaming performance matters

Video editing capability matters

The user likely wants comparisons and reviews

Google’s AI interprets meaning, context, and intent instead of simply matching exact words.

This is called semantic search understanding.

That is why stuffing keywords repeatedly into content no longer improves rankings. Google now rewards depth, clarity, expertise, and relevance.

AI-Powered Search Results

One of the biggest changes in 2026 is AI-generated search assistance. Google often provides AI summaries directly on the search results page.

These AI overviews collect information from multiple trusted sources and present concise answers before users even click websites.

Because of this shift, websites must now optimize not only for rankings but also for:

AI citations

Featured snippets

Conversational answers

Structured data

Trust signals

Content that is vague, repetitive, or generic struggles to appear in these AI-driven summaries.

Crawling and Indexing in 2026

Google still uses crawlers, often called bots or spiders, to discover webpages across the internet. However, the crawling process has become far more intelligent.

Modern crawlers analyze:

Content quality

User engagement

Page speed

Mobile usability

Multimedia relevance

Freshness of information

Internal linking structure

User experience signals

Google’s indexing system now understands:

Images

Videos

Audio content

Infographics

PDFs

Interactive elements

Search engines can even interpret video topics without relying entirely on descriptions because AI can analyze speech, frames, subtitles, and context within videos.

This is why multimedia SEO has become extremely important in 2026.

The Role of User Experience

Google Search now heavily prioritizes user experience.

If visitors quickly leave a website, Google may interpret that as a negative quality signal. Similarly, websites that provide smooth navigation, fast loading, clear structure, and useful information tend to perform better.

Important ranking experience factors include:

Mobile responsiveness

Fast loading speed

Easy readability

Secure HTTPS connection

Low intrusive ads

Clear content structure

Accessibility standards

Google wants users to feel satisfied after visiting a webpage.

This means good SEO today is closely connected with good website design and content strategy.

Search Personalization in 2026

Google Search results are increasingly personalized.

Two users searching the same keyword may see different results depending on:

Location

Search history

Device type

Interests

Language preferences

Real-time trends

For example, a user in Pune searching “best cafes” will receive completely different results than someone searching the same term in London.

Google's AI keeps updating search ranking by analyzing user interactions and contextual intent.

Voice Search and Conversational Queries

Voice search continues to grow rapidly in 2026 because of smart assistants, wearable devices, and AI-powered smartphones.

People now search conversationally instead of typing robotic phrases.

Older search style:

“best dentist Pune”

Modern voice search:

“Which dentist near me is best for braces treatment?”

Google’s AI understands natural speech patterns, conversational tone, and follow-up questions.

Because of this, content creators now optimize for:

Long-tail queries

Conversational language

Question-based content

FAQ sections

Intent-driven answers

The Importance of E-E-A-T

Google strongly emphasizes E-E-A-T in 2026:

Experience

Expertise

Authoritativeness

Trustworthiness

Google wants content written by people who genuinely understand the subject.

For example:

Medical content should come from healthcare professionals

Financial advice should come from trusted experts

Technical tutorials should demonstrate practical experience

Anonymous, low-quality AI-generated spam content is heavily filtered by Google’s ranking systems.

Trust has become one of the most powerful ranking factors.

Real-Time Search and Fresh Content

Google now prioritizes freshness for many topics.

Searches related to:

Technology

SEO

AI

News

Marketing

Finance

Trends

require updated information regularly.

Websites publishing outdated content may lose visibility even if they ranked well previously.

This is why content updates, revisions, and continuous optimization are critical in modern SEO.

The Future of Google Search

Google Search in 2026 is moving toward becoming a predictive assistant rather than just a search platform.

Future-focused trends include:

Hyper-personalized AI search

Visual-first discovery

Augmented reality search

Predictive recommendations

Context-aware search experiences

Multi-platform indexing

Google’s ultimate goal is simple:

Deliver the most accurate answer in the fastest and most useful way possible.

Conclusion

Google Search in 2026 is smarter, faster, and more human-focused than ever before. Traditional SEO tactics alone are no longer sufficient because Google now evaluates meaning, usefulness, trust, user satisfaction, and real-world expertise.

To succeed in modern search, websites must focus on:

High-quality original content

Excellent user experience

Authority and trust

Multimedia optimization

Conversational content

Intent-based SEO

The future of search belongs to creators and businesses that genuinely help users rather than simply trying to manipulate algorithms.

In 2026, ranking on Google is no longer about tricking the search engine.

"Search Engine Optimization (SEO) " in 2026 is no longer just about keywords and backlinks. It has evolved into a more intelligent, user-focused, and experience-driven strategy. If you're a beginner trying to understand SEO today, think of it as the process of making your website the most helpful, trustworthy, and accessible answer for both users and search engines.

Understanding SEO in Simple Terms :

At its core, SEO is about improving your website’s visibility on search engines like Google. When someone searches for a product, service, or information, SEO helps your website appear higher in the results. The higher your website ranks, the more chances you have of getting traffic, leads, and customers.

However, in 2026, ranking is not just about being visible. It’s about being relevant and reliable.

How SEO Has Changed Over Time:

Earlier, SEO focused heavily on inserting keywords and building as many backlinks as possible. But search engines have become smarter with AI and machine learning. Today, they understand user intent, behavior, and content quality much better.

This means:

Stuffing keywords no longer works

Low-quality content gets ignored

User experience plays a major role

SEO has shifted from “gaming the system” to “serving the user.”

Key Elements of SEO in 2026

1. Search Intent is Everything

Search engines now prioritize why a user is searching, not just what they type. For example, someone searching “best shoes” might want recommendations, reviews, or pricing comparisons.

Your content must match the user’s intent:

Informational (learning something)

Navigational (finding a specific site)

Transactional (ready to buy)

Understanding this helps you create content that actually ranks.

2. High-Quality Content Wins

Content is still king, but only if it’s valuable. In 2026, good content means:

Original and unique

Easy to read and well-structured

Helpful and actionable

Written for humans, not bots

Thin or copied content won’t survive in search rankings anymore.

3. User Experience (UX) Matters More Than Ever

Google now measures how users interact with your website. If visitors leave quickly or struggle to navigate, your rankings will drop.

Important UX factors include:

Fast loading speed

Mobile-friendly design

Clean layout and readability

Easy navigation

A smooth experience keeps users engaged and signals quality to search engines.

4. Voice and AI Search Optimization

With the rise of voice assistants and AI tools, search queries have become more conversational. Instead of typing “SEO tips,” users might ask, “What are the best SEO strategies for beginners?”

To adapt:

Use natural language in your content

Answer questions clearly

Focus on long-tail keywords

This helps your content appear in voice search and AI-generated answers.

5. E-E-A-T (Experience, Expertise, Authority, Trust)

Search engines now evaluate credibility more deeply. Your website should demonstrate:

Real experience in your niche

Expertise through valuable insights

Authority via reputation and backlinks

Trust through transparency and accuracy

This is especially important for business, health, and financial websites.

6. Technical SEO Still Matters

Behind the scenes, your website must be technically sound. This includes:

Proper indexing and crawling

Clean URL structure

Secure website (HTTPS)

Structured data (schema markup)

Even great content won’t rank if search engines can’t properly access your site.

Why SEO is Important in 2026

SEO is one of the most cost-effective ways to grow online. Unlike paid ads, it brings long-term traffic without continuous spending. For businesses, SEO means:

More visibility

Higher credibility

Better quality leads

Sustainable growth

In today’s digital world, if your business is not visible online, you are losing potential customers to competitors.

Beginner Tips to Start with SEO

If you’re just getting started, focus on the basics:

Research what your audience is searching for

Create helpful and original content

Optimize your website for speed and mobile

Use clear headings and structure

Build trust with accurate information

Avoid shortcuts like buying links or copying content. These may give temporary results but harm your website in the long run.

Final Thoughts

SEO in 2026 is all about aligning with user needs and delivering real value. Search engines are no longer easy to manipulate. They reward websites that genuinely help users.

If you focus on creating meaningful content, improving user experience, and building trust, SEO becomes much simpler and more effective.