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The Rise of Conversational Queries and Their Impact on SERPs

May 26, 2025

Summary: Discover how conversational queries are transforming SEO strategies, emphasizing natural language, voice search, and localized results for better engagement and higher rankings.

Search habits are changing, and so is search engine optimization. With the rise of voice assistants and AI-powered tools, users now interact with search engines in a more natural and conversational manner. Gone are the days of typing stiff, keyword-heavy phrases. Instead, people now ask full questions, much like they would speak to a person. This shift has caused a major transformation in how search engine results pages (SERPs) are structured and how SEO agencies must respond.

As a leading SEO company or digital strategist, adapting to this evolution is no longer optional. It’s essential for staying relevant in both local SEO and traditional SEO landscapes.

What Are Conversational Queries?

Conversational queries are search inputs phrased in natural, human-like language. Rather than typing “best Italian restaurant NYC,” users might now say, “What’s the best Italian restaurant near me?” This small change makes a huge difference in how search engines interpret and deliver results.

Examples:

  • Traditional query: “dentist Toronto”
  • Conversational query: “Where can I find a good dentist in Toronto who’s open on weekends?”

For SEO companies, this shift means keyword strategy must now prioritize question-based, intent-driven content. It also means integrating these queries into your metadata, headings, and content in a way that mirrors how people actually talk.

Why Conversational Queries Are on the Rise in 2025?

Several factors have driven the popularity of conversational search:

  • Voice Search Adoption: Devices like Alexa, Google Assistant, and Siri have normalized speaking queries out loud.
  • Mobile Search Growth: More users are on the go, using voice to search faster and more conveniently.
    Algorithm Improvements: Updates like Google’s Hummingbird, BERT, and MUM help search engines understand user intent with greater depth.
  • Shift in User Behavior: People prefer quick and accurate answers, especially those tailored to their specific context and location.

This rising trend is forcing SEO agencies to think beyond keyword stuffing and focus more on semantic search, which aligns with how users naturally phrase questions.

How Conversational Queries Are Changing SERPs

Search engine results pages are now designed to answer questions quickly and contextually. Conversational queries have fueled this shift in several ways:

  • Featured Snippets: These “position zero” results aim to answer questions directly on the SERP.
  • People Also Ask (PAA): This section provides related queries users might explore.
  • Zero-Click Searches: Many users get the answer without ever clicking a link.
  • Local Packs: For queries like “best coffee shop near me,” Google displays localized options using maps and reviews.

SEO companies need to optimize content not just for ranking, but for visibility in these specialized sections. This is especially crucial for local SEO, where appearing in the local pack can drastically increase foot traffic and conversions.

SEO Strategies to Adapt to Conversational Search

To stay competitive, SEO agencies must adapt their strategies to meet the demands of conversational queries:

  1. Use Long-Tail and Question-Based Keywords: These better reflect how users speak.
  2. Optimize for Featured Snippets: Structure content using concise answers, bullet points, and tables.
  3. Integrate Natural Language Throughout: Avoid robotic keyword placements. Write as if you’re speaking directly to your reader.
  4. Leverage FAQ Sections: Address common queries on each service or product page using schema markup.
  5. Update Local SEO Tactics: Use location-specific conversational keywords like “Where can I get a haircut in [City]?”

By adjusting your strategy, your SEO company can create more relevant and helpful content that aligns with modern search behavior.

The Role of AI and NLP in Understanding Queries

Google’s use of AI and Natural Language Processing (NLP) has revolutionized how search engines understand user intent. Algorithms like BERT (Bidirectional Encoder Representations from Transformers) help decipher context, sentiment, and implied meaning in search queries.

For example:

  • Query: “Can I get a passport photo at Walgreens?”
  • Google understands the query is about service availability, not just a list of Walgreens locations.

This evolution means that traditional SEO tactics, such as keyword repetition, are no longer enough. Modern SEO companies need to build content with semantic richness—covering related topics, synonyms, and contextual clues that answer real questions.

Conversational Queries and Content Creation

Content strategy must evolve in tandem with search behavior. With conversational queries dominating, here’s how your SEO company should approach content:

  • Create Topic Clusters: Build authoritative content around core topics with sub-pages answering specific questions.
  • Adopt a Conversational Tone: Write as though speaking to your audience, not at them.
  • Anticipate Follow-Up Questions: Use tools like “People Also Ask” and autocomplete to inform subheadings and FAQs.
  • Rewrite Headlines into Questions: Example—change “Top 10 Marketing Tools” to “What Are the Top 10 Marketing Tools for Small Businesses?”

This approach enhances engagement, increases dwell time, and positions your content for improved rankings in modern search engine results pages (SERPs).

Future of SERPs in a Conversational-First World

As AI advances, search engines will rely more heavily on understanding meaning over matching keywords. SERPs will become more dynamic, with:

  • Increased AI-generated Results (e.g., Google’s Search Generative Experience)
  • More Personalized and Location-Based Results
  • Visual and Interactive Answer Formats
  • Integrated Voice Results for Smart Devices

For SEO agencies, this means agility and innovation are key. Local SEO and traditional SEO must work together—blending structured data, conversational content, and user-focused design.

Key Takeaways for SEO Professionals

  • Conversational queries are now the norm, not the exception.
  • Search engines favor content that mirrors human language and intent.
  • Optimizing for featured snippets, voice search, and local packs is essential.
  • Both local SEO and traditional SEO strategies must evolve to stay competitive.
  • SEO agencies that embrace this shift will help clients secure long-term visibility and user trust.

The rise of conversational queries is not just a trend—it’s a fundamental change in how users interact with search engines. For any modern SEO company, ignoring this shift means falling behind. Whether you’re focused on local SEO, eCommerce, or national campaigns, aligning your content with natural language queries will drive better rankings, more engagement, and increased conversions.

The future of SEO belongs to those who can listen to how people speak—and answer them clearly.

About the Author

Rick spent 20 years in the insurance industry in finance, primarily developing reporting platforms for B & C stakeholders.   His ability to speak to consumers of data (managers and analysts) and translate their needs to programmers led him to start his own digital marketing agency in 2004 to develop data driven solutions for business owners. 

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