Table Of Contents
Introduction: The Voice-First World Is Already Here
Think about the last time you spoke to your phone instead of typing on it. Maybe you asked for directions, wanted to know the weather, or searched for a good pizza place nearby. If you did, you were using voice search – and you were far from alone.
Voice search has moved from a novelty feature to a daily habit for billions of people worldwide. Smart speakers sit on kitchen counters. Voice assistants are built into cars, earbuds, televisions, and even refrigerators. In 2026, artificial intelligence has supercharged these tools, making them faster, smarter, and more accurate than ever before.
For businesses and website owners, this shift means one important thing: the way people search for information has fundamentally changed. If your website is only optimized for how people type searches, you are missing a growing segment of users who speak their searches instead.
This guide is your complete roadmap to Voice Search SEO. Whether you are a complete beginner or someone with basic SEO knowledge, you will walk away understanding exactly what voice search SEO is, why it matters in 2026, and how to put practical strategies into action right now.
Chapter 1: What Is Voice Search SEO?
Understanding the Basics
Voice Search SEO is the practice of optimizing your website and content so that it appears in results when people use voice assistants to search for information. It is a specific branch of Search Engine Optimization (SEO) that focuses on the unique way people phrase questions and commands when speaking, rather than typing.
Traditional SEO often targets short, choppy keyword phrases – for example, someone typing ‘best coffee shop London’ into Google. Voice search, by contrast, tends to mirror natural conversation. That same person using voice search might say, ‘Hey Google, what is the best coffee shop near me in London that is open right now?’
Notice the difference? Voice queries are longer, more specific, and usually written in question format. They sound like something you would say to a knowledgeable friend, not a search engine.
The Role of AI in Modern Voice Search
The voice search tools of 2026 are vastly more intelligent than the voice assistants of even five years ago. Artificial intelligence – particularly large language models (LLMs) – now powers most major voice assistants including Google Assistant, Siri, Amazon Alexa, and Microsoft Cortana, driven by advanced AI-driven strategies that continuously improve how these systems understand and respond to user queries.
These AI systems do not just match keywords. They understand the meaning behind words, the context of a conversation, the intent of the user, and even follow-up questions. This is called Natural Language Processing (NLP), and it has completely changed the game for SEO.
In practical terms, this means your content needs to be genuinely helpful and naturally written. AI-powered search can tell the difference between content that is stuffed with keywords and content that actually answers a question thoroughly.
Key Takeaway: Voice Search SEO is about making your content sound like a helpful conversation, not just hitting keyword targets.
How Voice Search Works Step by Step
Understanding the journey from spoken word to search result helps you optimize more effectively. Here is how a voice search works from start to finish:
- The user speaks a query to their device.
- The device’s microphone captures the audio and sends it to the cloud.
- AI-powered speech recognition converts the audio into text.
- The search engine interprets the text using Natural Language Processing to understand the user’s intent.
- The engine scans its index for the most relevant, trustworthy content.
- The result is either spoken back to the user (as a featured snippet or direct answer) or displayed as a list of results.
Each step involves layers of AI decision-making, which is why your content needs to be clear, accurate, and conversational to win in voice search.
Chapter 2: Why Voice Search SEO Matters in 2026
The Numbers Tell the Story
Voice search is no longer a trend to ‘watch’ – it is already mainstream. By 2026, smart speaker ownership has become near-universal in many households across North America, Europe, and Asia. Voice search queries account for a substantial share of all searches performed daily across the globe.
Mobile devices – which billions of people carry at all times – come with built-in voice search capabilities as a default feature. For users on the go, asking a question is faster and more convenient than typing. This is especially true while driving, cooking, exercising, or multitasking.
Zero-Click Searches and Featured Snippets
One of the most critical developments tied to voice search is the rise of zero-click searches. These are searches where the user gets their answer directly from the search engine result page (or from a spoken response) without ever clicking through to a website.
Google’s featured snippet – sometimes called ‘Position Zero’ – is the block of text that appears above all other results, usually containing a direct answer to a question. Voice assistants often read this snippet aloud when responding to voice queries. This makes capturing featured snippets one of the most powerful goals in voice search SEO.
Why This Matters: If your content earns a featured snippet, your website effectively becomes the voice assistant’s answer. This is the highest form of voice search visibility.
Local Search and the ‘Near Me’ Explosion
Voice search has dramatically boosted local SEO. When someone says ‘find a pharmacy near me’ or ‘where is the closest ATM’, they expect an immediate, location-specific answer. Research consistently shows that voice searches have a very high local intent – meaning people using voice are often ready to visit a business or make a purchase right away.
For local businesses especially, showing up in voice search results can translate directly into foot traffic, phone calls, and sales. Ignoring voice search SEO means losing customers who are already motivated to act.
The Rise of AI-Powered Answer Engines
In 2026, traditional search engines have evolved into what many call ‘answer engines.’ Rather than showing ten blue links and leaving the user to browse, these platforms synthesize information from multiple sources and provide a direct, conversational answer.
Google’s AI Overviews, Bing’s Copilot integration, and standalone AI tools like ChatGPT with search capabilities all operate this way. For your content to be surfaced and cited in these AI-generated answers, it needs to be structured clearly, factually accurate, and genuinely useful.
Chapter 3: Voice Search vs. Text Search – Key Differences
How People Type vs. How People Talk
The most fundamental difference between voice and text search lies in how humans naturally communicate. When typing, people tend to abbreviate. When speaking, people use complete sentences. This changes everything about how you should think about keywords and content.
Here is a side-by-side comparison to illustrate the difference:
Text search: “weather New York tomorrow”
Voice search: “What will the weather be like in New York tomorrow morning?”
Text search: “cheap flights Miami”
Voice search: “What are the cheapest flights from London to Miami in August?”
Text search: “Italian restaurant London”
Voice search: “Find a good Italian restaurant near me open for dinner on Saturday.”
The Four Types of Voice Search Intent
Just like text searches, voice searches can be categorized by the intent behind them. Understanding intent is critical for creating content that satisfies the user.
1. Informational Intent
The user wants to learn something. Examples include: ‘How does solar energy work?’ or ‘What is the capital of Japan?’ Content designed for informational voice queries should be educational, clearly structured, and answer the specific question directly within the first few sentences.
2. Navigational Intent
The user wants to find a specific website or location. Examples include: ‘Take me to the BBC website’ or ‘Navigate to Central Park.’ For navigational voice searches, having a well-optimized Google Business Profile and clear brand identity signals help you appear.
3. Transactional Intent
The user is ready to buy or take an action. Examples include: ‘Order a large pepperoni pizza’ or ‘Book a taxi to the airport.’ For these searches, your website needs seamless mobile usability, fast load speed, and clear calls to action.
4. Local Intent
The user wants something nearby. Examples include: ‘Where is the nearest petrol station?’ or ‘Is the library open today?’ Local voice searches require strong local SEO, including a complete Google Business Profile, accurate NAP (Name, Address, Phone) information, and location-specific content.
Chapter 4: Keyword Research for Voice Search
Shifting from Short-Tail to Long-Tail Keywords
Traditional keyword research focuses heavily on short phrases – sometimes called short-tail keywords – that attract high search volumes. While these are still valuable for text-based SEO, voice search demands a shift toward long-tail keywords: longer, more specific phrases that closely mirror natural speech.
Long-tail keywords typically have lower individual search volumes but much higher relevance and conversion rates because they match the specific intent of a user more precisely. In the world of voice search, these longer phrases are the norm, not the exception.
Focusing on Question-Based Keywords
Voice searches are dominated by question words. The most commonly used question starters in voice queries are:
- Who – ‘Who invented the telephone?’
- What – ‘What is the best way to learn Spanish?’
- Where – ‘Where can I recycle old batteries near me?’
- When – ‘When does summer officially begin?’
- Why – ‘Why is the sky blue?’
- How – ‘How do I change a tyre on my car?’
When planning your content, ask yourself: what questions is my target audience asking? Build your content around these questions, and phrase your headings and subheadings as questions when appropriate.
Tools for Voice Search Keyword Research
Several tools can help you uncover the conversational keywords your audience is using:
Google’s ‘People Also Ask’ Box
This feature appears on most Google search result pages and shows real questions that users are asking related to your topic. These are goldmines for voice search keyword ideas because they represent actual conversational queries.
Answer the Public
This tool generates hundreds of question-based search queries around any keyword you enter. It visually maps out the who, what, where, when, why, and how questions tied to your topic, making it excellent for voice search content planning.
Google Search Console
Reviewing the queries that already bring users to your website can reveal conversational patterns you had not noticed. Look for longer, question-style queries in your impressions data and optimize specifically for those.
Google Autocomplete
Simply typing or speaking the start of a question into Google will reveal autocomplete suggestions based on real user behavior. These suggestions often reflect the most common ways people phrase their voice searches.
Understanding Search Intent at the Keyword Level
For every keyword or question you target, make sure you deeply understand the intent behind it. Ask yourself: what does this person actually need when they ask this question? What would fully satisfy their curiosity or solve their problem?
An answer that genuinely satisfies intent will naturally be more likely to be featured in voice search results, because AI systems have become very good at recognizing content that truly serves the user versus content that merely mentions the right words.
Chapter 5: Creating Content Optimized for Voice Search
Write the Way People Speak
The single most impactful thing you can do for voice search SEO is to write your content in a natural, conversational tone. This does not mean being unprofessional – it means being clear, human, and approachable.
Imagine explaining your topic to a friend who has no prior knowledge of the subject. Use simple words. Keep sentences short. Avoid jargon unless you immediately explain what it means. Ask and answer questions within the text. This style naturally aligns with how voice assistants prefer to extract and present information.
The Power of FAQ Sections
Frequently Asked Questions (FAQ) sections are one of the most effective tools in voice search SEO. They directly mirror the question-and-answer format of voice queries, making them ideal for Google to pull as featured snippets.
A well-crafted FAQ section on your page should:
- Use the exact phrasing users would speak or type
- Provide a clear, concise answer immediately after each question (typically 40-60 words)
- Cover related follow-up questions to satisfy deeper intent
- Be marked up with FAQ Schema (more on this in Chapter 7)
Think of each FAQ item as a mini voice search result. If your answer is the clearest and most direct response to a common question in your niche, your chances of appearing in voice results increase dramatically.
Structuring Content for Featured Snippets
Since voice assistants often read featured snippets aloud, earning those snippets is a primary goal. Here is how to structure content to win them:
Answer First, Explain Second
Lead with a direct, concise answer to the question in the first one or two sentences, then provide the supporting detail below. This ‘inverted pyramid’ structure is preferred by AI systems that want to quickly surface the core answer.
Use Clear Paragraph Breaks
Break your content into digestible paragraphs of three to five sentences each. Long walls of text are harder for search engines to extract clean answers from, and they are harder for users to read.
Use Numbered Lists and Step-by-Step Formats
When explaining a process or sequence, use numbered lists. Google frequently pulls numbered list content into featured snippets, and voice assistants can read numbered steps clearly and logically.
Use Subheadings as Questions
Instead of using a generic subheading like ‘Benefits of Exercise,’ try ‘What are the main benefits of regular exercise?’ This question-format heading directly matches what a voice user might ask, improving your chances of being selected as the answer.
Content Length and Depth
There is sometimes a misconception that voice search favors very short content. In reality, the most successful content for voice search tends to be comprehensive and deeply informative – because search engines surface content from authoritative, thorough sources. A long article that covers a topic in depth and contains well-structured, answerable sections can capture multiple voice search queries at once.
Think of your content as a resource that answers not just the main question, but all the surrounding questions a curious person might ask next. This is called topic depth, and it is one of the most important signals of authority in the eyes of AI-powered search.
Chapter 6: Technical SEO for Voice Search
Page Speed: The Non-Negotiable Foundation
Voice search users want answers instantly. If your website takes more than two or three seconds to load, you are likely to be overlooked by both users and search engine crawlers. Google has explicitly confirmed that page speed is a ranking factor, and it becomes even more critical for voice search where instant gratification is the expectation.
To improve your page speed:
- Compress all images before uploading them to your website
- Use a Content Delivery Network (CDN) to serve content from servers closer to your users
- Minimize the use of heavy JavaScript and CSS files
- Enable browser caching so returning visitors load your site faster
- Use Google’s free PageSpeed Insights tool to diagnose and fix speed issues
Mobile Optimization Is Essential
The vast majority of voice searches happen on mobile devices. Google uses mobile-first indexing, meaning it primarily looks at the mobile version of your website when deciding how to rank it. If your site looks or works poorly on a smartphone, your rankings – and therefore your voice search visibility – will suffer.
A mobile-optimized website should:
- Use a responsive design that adapts to any screen size automatically
- Have tap targets (buttons and links) that are large enough to tap with a finger
- Avoid using Flash or other technologies that do not work on mobile
- Present readable text without requiring the user to zoom in
HTTPS and Security
Google has long considered HTTPS (the secure, encrypted version of HTTP) as a ranking signal. More importantly, voice assistants and AI search tools strongly prefer to surface content from secure websites. If your site still uses plain HTTP, switching to HTTPS is one of the most straightforward improvements you can make.
Core Web Vitals
Google’s Core Web Vitals are three specific technical metrics that measure the real-world user experience of your website. These metrics are:
Largest Contentful Paint (LCP)
This measures how long it takes for the main content of a page to load visibly. A good LCP score is under 2.5 seconds. To improve LCP, optimize large images, use efficient server hosting, and prioritize loading the most visible content first.
Interaction to Next Paint (INP)
This replaced the older First Input Delay metric and measures how quickly your page responds when a user interacts with it, such as clicking a button or tapping a link. Aim for an INP under 200 milliseconds for a good user experience.
Cumulative Layout Shift (CLS)
This measures how much page elements move around unexpectedly as the page loads. Unstable layouts frustrate users and signal poor technical quality to search engines. A good CLS score is under 0.1.
Chapter 7: Schema Markup and Structured Data
What Is Schema Markup?
Schema markup is a special type of code that you add to your website to help search engines understand your content more clearly. Think of it as a label system that tells Google exactly what kind of information is on your page – whether it is a recipe, a business listing, a product, an FAQ, a how-to guide, or something else entirely.
Schema does not make your content visible to users in the normal sense, but it dramatically increases the chances of your content being featured in rich results, knowledge panels, and voice search answers. It is one of the most powerful and underused tools in voice search SEO.
The Most Important Schema Types for Voice Search
FAQ Schema
Adding FAQ Schema to your pages tells Google that your content contains a list of frequently asked questions with corresponding answers. This significantly increases the likelihood of your FAQ content being pulled as a featured snippet or read aloud in a voice search response. It is arguably the single most impactful schema type for voice search.
HowTo Schema
If your content explains how to do something step by step, HowTo Schema helps Google understand and surface that process. Voice assistants can use this structured data to walk users through a task step by step, which is extremely valuable for instructional content.
LocalBusiness Schema
For any business with a physical location or local service area, LocalBusiness Schema is critical. It communicates your business name, address, phone number, hours of operation, and services directly to search engines in a structured, reliable format – all the information voice assistants need to answer local voice queries.
Speakable Schema
Speakable Schema was designed specifically for voice search. It marks certain sections of your content as especially suitable for being read aloud by a voice assistant. While still relatively new and primarily focused on news content, it is worth monitoring as it evolves.
Product and Review Schema
For e-commerce businesses, Product Schema communicates price, availability, and ratings to search engines. Review Schema adds credibility signals. Both help your content stand out in voice queries with shopping intent.
How to Implement Schema Markup
The easiest way to implement schema markup is through JSON-LD (JavaScript Object Notation for Linked Data), which Google recommends. JSON-LD is a simple code block that you paste into the HTML of your page. You do not need to be a developer to use it, especially with tools like Google’s Structured Data Markup Helper or Schema.org’s documentation.
After implementing schema, always test it with Google’s Rich Results Test tool to confirm it is valid and working correctly.
Chapter 8: Local SEO for Voice Search
Why Local Voice Search Is Different
Local voice searches are among the highest-converting queries on the internet. When someone says ‘find a dentist near me’ or ‘what time does the bank close today’, they are not browsing – they are ready to act. Capturing these users requires a specific set of optimizations distinct from general voice search SEO.
Optimizing Your Google Business Profile
Your Google Business Profile (GBP) – formerly Google My Business – is the single most important asset for local voice search. When voice assistants answer local queries, they draw heavily from GBP data. Here is how to optimize yours:
Complete Every Section
Fill in every available field in your GBP: business name, address, phone number, website, hours of operation (including holiday hours), category, attributes, and description. Incomplete profiles are less likely to be surfaced for voice queries.
Keep Your NAP Consistent
NAP stands for Name, Address, and Phone number. This information must be identical across your website, your GBP, and every online directory where your business appears. Inconsistencies confuse search engines and reduce your local voice search visibility.
Collect and Respond to Reviews
Voice assistants frequently mention ratings when recommending local businesses. Actively encourage satisfied customers to leave reviews on Google, and always respond professionally to both positive and negative feedback. A high volume of positive reviews signals trustworthiness to both users and AI systems.
Post Regular Updates
Use the GBP posts feature to share news, offers, events, and updates regularly. This signals to Google that your business is active and engaged, which can boost your visibility in local voice results.
Creating Location-Specific Content
Beyond your GBP, create content on your website that is specifically relevant to your location and the community you serve. Location pages that clearly describe your area, your services in that area, and relevant local details help search engines understand your geographic relevance.
For businesses with multiple locations, create a separate, unique, and detailed page for each location rather than a single generic page. Voice assistants need clear geographic signals to match your business to a local query.
Building Local Citations
A local citation is any online mention of your business’s NAP information. Citations on reputable directories such as Yelp, Yellow Pages, Bing Places, Apple Maps, and industry-specific directories strengthen your local authority and improve your chances of appearing in voice search responses.
Chapter 9: Voice Search and AI Overviews
What Are AI Overviews?
Google’s AI Overviews – introduced widely in 2024 and now a standard part of search results in many markets – represent the closest thing to a true AI answer engine within traditional search. When you ask Google a question, instead of just showing links, AI Overviews synthesize information from multiple sources and present a coherent, structured answer at the top of the results page.
This same AI-generated answer capability is what powers much of Google’s voice search output in 2026. When the voice assistant reads an answer to your spoken query, it is often drawing from this AI synthesis layer.
How to Optimize for AI-Generated Answers
Getting your content cited or featured in AI Overviews requires a different mindset from traditional SEO. Here are the key principles:
Be an Authoritative Source
AI systems strongly prefer to cite sources that have established authority and trustworthiness in their field. This is related to Google’s E-E-A-T framework (Experience, Expertise, Authoritativeness, and Trustworthiness). Publishing well-researched, accurate, and original content consistently over time builds the kind of authority that AI systems recognize.
Cover Topics Comprehensively
AI Overviews often synthesize information from multiple sections of a page. If your content covers a topic comprehensively – addressing the main question and the surrounding subtopics – it is more likely to be a source the AI draws from. Shallow content rarely makes it into AI-generated answers.
Use Clear, Factual Statements
AI systems extract factual, declarative statements more reliably than vague or hedged language. Where relevant, include clear facts, figures, definitions, and step-by-step explanations. The clearer your statements, the easier they are for AI to extract and use.
Earn Backlinks from Respected Sites
Links from authoritative, respected websites in your industry are a strong signal that your content is trustworthy. This remains one of the most powerful SEO signals overall, and it matters specifically for whether AI systems consider your site a credible source.
The Relationship Between AI Search and Voice Output
In 2026, the line between AI-generated text answers (like those in AI Overviews) and voice-spoken answers has become very thin. Most voice assistants now use the same underlying AI systems that power AI Overviews, meaning that optimizing for one effectively optimizes for the other. A site that earns citations in AI text summaries is highly likely to have its content read aloud in voice search responses.
Chapter 10: Measuring Voice Search SEO Success
The Challenge of Tracking Voice Search
One of the honest challenges of voice search SEO is that it is not as easy to measure as traditional text search. Voice queries often do not appear individually in analytics tools because they are frequently processed as zero-click interactions – the user gets their answer without visiting your website.
However, there are meaningful ways to track your progress and understand whether your voice search optimizations are working.
Key Metrics to Monitor
Featured Snippet Appearance
Use tools like Semrush, Ahrefs, or Moz to track which of your pages are earning featured snippets. Featured snippets are the primary source of voice answers, so tracking them gives you a strong proxy for voice search performance.
Google Search Console – Question Queries
In Google Search Console, filter your queries by question words (who, what, where, when, why, how). Track impressions, clicks, and average position for these queries over time. An upward trend in question-format query impressions suggests your voice search optimization is gaining traction.
Organic Traffic from Mobile
Since most voice searches happen on mobile, an increase in organic traffic from mobile devices – particularly for question-based queries – is a positive signal. Monitor this in Google Analytics by segmenting your organic traffic by device type.
Local Pack Appearances
For local businesses, tracking how often your Google Business Profile appears in local pack results (the map-based results shown for local queries) correlates strongly with local voice search visibility. Google Business Profile Insights provides data on search views, map views, and customer actions.
Page Speed and Core Web Vitals Scores
Regularly checking your Core Web Vitals in Google Search Console ensures that the technical foundation of your voice search SEO remains strong. Improvements in these scores directly support your ability to rank in voice search results.
Setting Realistic Expectations
Voice search SEO is a long-term investment, not a quick fix. Results build gradually as your content establishes authority, earns backlinks, and gets recognized by AI systems as a trusted source. Set benchmarks, monitor progress quarterly, and continue refining your content and technical setup over time.
Chapter 11: Advanced Voice Search Strategies for 2026
Conversational Content Flows
One of the most forward-thinking approaches to voice search SEO in 2026 involves thinking about your content as a conversation rather than a document. This means structuring your pages so that they naturally answer follow-up questions.
If your page answers ‘What is intermittent fasting?’, it should also naturally address: ‘How do I start intermittent fasting?’, ‘What can I eat during intermittent fasting?’, and ‘Is intermittent fasting safe?’ These follow-up questions reflect how a real conversation evolves, and AI systems reward content that anticipates and answers them.
Voice Search for E-Commerce
Shopping by voice is a growing behavior, particularly among smart speaker users. People are increasingly using voice to reorder familiar products, compare prices, and check availability. For e-commerce businesses, this means:
- Optimizing product descriptions with natural language and detailed specifications
- Ensuring your product catalog is crawlable and indexed with correct schema markup
- Making the checkout process seamlessly mobile-friendly
- Building a recognizable brand name, since voice searches for specific brands perform well
Optimizing for Smart Home Devices
Amazon Echo, Google Nest, and Apple HomePod are now common household devices. Queries from these devices tend to be highly specific and action-oriented: ‘Alexa, add milk to my shopping list’ or ‘Hey Google, play jazz music.’ For content marketers and businesses, skills (Amazon Alexa) and actions (Google Assistant) are specialized applications that can make your service directly accessible through these devices – an advanced but powerful channel.
Multilingual Voice Search
Voice search has dramatically lowered the barrier to multilingual search. Users feel more comfortable searching in their native language when speaking than when typing, particularly for languages with complex written scripts. If your business serves multilingual audiences, creating well-optimized content in each language (not just translated, but genuinely localized) opens up significant voice search opportunity.
Keeping Up with AI Evolution
The AI landscape moves quickly. New models, new search features, and new voice interface standards appear regularly. In 2026, staying current with Google’s Search Central Blog, following SEO research communities, and periodically auditing your content against the latest best practices is not optional – it is essential maintenance for any serious voice search strategy.
Conclusion: Your Voice Search SEO Action Plan
Voice search is not the future of SEO – it is the present. Every day, millions of people are using voice to find businesses, ask questions, get directions, and make purchasing decisions. Websites that speak their language – literally and figuratively – will capture this audience. Those that do not will become increasingly invisible.
The good news is that voice search SEO, while unique in some of its requirements, is built on the same foundation as all good SEO: quality content, technical excellence, genuine authority, and a deep understanding of what your audience needs.
Here is a simple action plan to take forward from this guide:
- Audit your existing content for conversational tone and question-based structure.
- Research the question-format keywords your audience is asking using tools like People Also Ask and Answer the Public.
- Rewrite or expand key pages to directly answer common questions, ideally in 40-60 word paragraph summaries.
- Add FAQ sections with Schema markup to your most important pages.
- Complete and optimize your Google Business Profile if you serve a local audience.
- Audit your website’s mobile experience and page speed using Google’s free tools.
- Implement JSON-LD Schema markup for FAQ, HowTo, and LocalBusiness where relevant.
- Build topic authority by covering your niche deeply and earning quality backlinks.
- Track your featured snippet appearances and question-format query impressions monthly.
- Stay current with AI and voice search developments and revisit your strategy quarterly.
Voice search SEO rewards patience, consistency, and genuine helpfulness. The websites that win are the ones that treat every piece of content as an opportunity to serve a real human being with a real question. That is as true for a text searcher as it is for someone asking their smart speaker at seven in the morning.
Start optimizing today, and let your content do the talking.
About the Author
Jay Patel is the Founder of XSquareSEO, a full-service SEO agency with experience in on-page SEO, eCommerce SEO, link building, technical SEO, SaaS SEO, and local SEO. For more information, feel free to contact us.
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