Imagine you’ve just launched a shiny new SaaS tool for remote-first teams. You’ve got funding in the bank, product-market fit feels close, and you hire an agency to “increase your brand awareness.” They do exactly that—optimize around monster keywords like “task apps” and “productivity software.”
And sure, the clicks roll in… but it’s students looking for free apps, not founders ready to pay $299 a month.
You don’t have a traffic problem—you have an intent problem. If instead you’d gone after terms like “productivity software for SaaS companies” or “SaaS for productivity software” you’d be showing up right in front of the people who actually lose sleep over churn rates and CAC. That’s where the real growth is hiding.
That’s the shift from keyword SEO to intent SEO: optimizing for why people search, understanding who they are, and satisfying their needs.
Now, let’s see how to create hyper-personalized content that resonates with users.
What’s the difference between intent vs keyword SEO?
Intent SEO is the evolution of traditional keyword SEO, merging search intent with AI behavior by answering queries in clear and actionable formats to match the underlying goal or multi-layered purpose behind a user’s search query.
While keyword density has long been de-emphasized, keywords themselves remain crucial for both SEO and AI. A page without keywords, relying solely on scenarios, will likely fail to gain search visibility.
– Andrea Schultz, Director of SEO at Sure Oak
How does intent SEO take keyword SEO to the next level?
Intent SEO builds on keyword SEO by moving beyond word-matching to problem-solving. It’s not just about ranking for phrases—it’s about answering the why behind the query and guiding users through their full search journey.
4 Ways how intent SEO enhances keyword SEO:
- From queries to journeys
Search is no longer a one-off. The focus is on multi-step “search journeys” where users ask a lot of questions. Intent SEO ensures that optimized content matches this flow, from discovery to decision-making. - Scenario-based content
Instead of repeating keywords (e.g. keyword stuffing), content now thrives when it uses scenarios, natural explanations and examples. This shows relevance and semantic depth, signaling to both users and AI that your page provides genuine solutions. - Multi-stage value
Example: A founder researching “best link building services for startups” moves through cost analysis, detailed comparisons, and decision support. Intent SEO helps you align content with each stage so searchers stay consistent and have clarity across the entire funnel. - AI collaboration
Structuring content with sub-questions, conversational headings, and layered answers increases the chances of being featured in AI summaries and PAA boxes.
Keywords get you discovered, but intent keeps users engaged, builds trust, and drives qualified conversions.
AI answering multi-step queries, creating “search journeys.”
With tools like Google SGE and Bing Copilot, searches are no longer one-off requests. They’re multi-step journeys where AI anticipates follow-up questions.
Think of it as the difference between asking for directions once and having a digital guide who walks you through each turn until you reach your destination.
AI Mode can be a great reference.
AI Mode lets you explore a topic and get AI-based answers without needing to do those analyses and comparisons yourself.
Barry Schwartz
Example: Multi-step search journey for “best link building services for startups”
- Step 1 – Discovery: A founder searches for “best link building services for startups.” → AI lists startup-friendly link building agencies.
- Step 2 – Cost analysis: The founder follows up with, “How much does Sure Oak cost vs. Thrive for startups?” → AI generates a side-by-side breakdown of pricing models.
- Step 3 – Service features: Next, the founder asks, “Do these services offer white-hat outreach or only guest posting?” →AI explains outreach methods.
- Step 4 – Decision support: By the end, the founder has a personalized roadmap of recommended providers, transparent pricing, and service features—without needing to jump between multiple agency websites.
This illustrates how AI-driven search transforms queries into connected learning paths—what Google calls “search journeys.”
Structuring articles with sub-questions and layered answers increases the likelihood that your page will:
- Be pulled into AI-generated summaries.
- Match the flow of user intent as they move from general to specific.
- Provide the depth that keeps readers engaged through their research process.
By naturally answering these within your article, you signal to AI systems that your content is designed to support the full search journey, not just a single keyword match.
SEO aligned with “why” users search, not just “what they type”
People search with intent: to learn, compare, or buy. If your content matches why they’re searching, you’ll build trust and drive conversions.
Example: Informational vs. transactional intent
- Informational Intent (“On page vs off page SEO?”)
A startup founder beginning their research may search: “On page vs off page SEO….what do I need?” They’re looking for clarity and education, not a sales pitch. Offer simple explanations, diagrams, and examples.
- Transactional intent (“Best SEO services for startups”)
Later, the same founder might search: “Best SEO services for startups.” Now they’re ready to evaluate and possibly find reliable SEO services. Show pricing, case studies, and benefits.
To align with this shift:
- Use intent-modifier keywords like “how,” “best,” “why,” “vs.,” and “cost of” in your headings. For example:
- H2: How Does Your SEO Team Work for Small Teams?
- H2: Best SEO Agencies for Startups in 2025
- H2: Why Startups Fail Without an SEO Strategy
By structuring content this way, you make it easier for AI systems to pull your answers into summaries — while directly matching what users are truly searching for.
Practical steps to create intent-driven SEO content
This section serves as a hands-on guide for businesses to shift from keyword chasing to intent alignment. Read on to find actionable steps with examples.
Map user pain points to search intent
Every search query begins with a problem—confusion, frustration, or curiosity. Here is how to map customer pain points and address these problems.
Each frustration surfaces at a different stage of the journey:
Pinpointing the exact stage lets you anticipate the type of query users are likely to type—or that AI search will generate for them.
The final step is turning pain points into content that solves them:
- Blog posts that explain how to solve a problem.
- Comparison guides that address confusion between options.
- Pricing pages or landing pages that ease financial hesitation.
- Step-by-step tutorials or FAQs that resolve post-purchase frustrations.
Analyze SERPs, People Also Ask, and AI-generated queries
SERPs, People Also Ask (PAA) boxes, and AI summaries contain valuable clues about the questions users want answered.
Start by observing the SERP as a fresh user:
- Set up incognito mode: This removes personalization from your results, giving a neutral view of how search engines rank content.
- Conduct target searches: Enter the same queries your audience would use, noting which pages, formats, and features dominate the results.
- Identify key SERP features: Look for AI Overviews, PAA sections, video carousels, featured snippets, and types of content like blogs, product pages, or guides.
- Analyze competitor presence: Examine the top-ranking URLs, content depth, and engagement features to identify gaps and opportunities.
Take note of recurring questions and phrases—they often reveal the keywords and intent AI models prioritize.
PAA and AI Overviews are treasure troves for user intent insights:
- Understand user intent: Each PAA question clarifies the deeper informational needs behind a query. For example, a query like “best project management tool” may generate PAA questions such as “What features should I look for in a project management tool?”
- Identify content opportunities: Look for questions that aren’t fully answered in the snippet or AI Overview. These gaps are where your content can add unique value.
- Compare AI Overviews to PAA: AI Overviews synthesize multiple sources into a concise answer. Think of them as dynamically generated PAA sections, often highlighting the most relevant or high-intent queries.
Use specialized tools to expand your understanding of intent-driven questions:
- AlsoAsked and Answer the Public: Generate visual maps of related questions and sub-questions connected to your keywords.
- SEO Platforms: Tools like Semrush and Ahrefs provide SERP analytics, keyword intent categorization, and insights into which queries drive traffic.
Structure for skimmability (e.g. headings for intent scanning)
Structure your content with descriptive headings, short paragraphs, bullet points, and summaries.
Here is how:
Make sure to add original visuals, such as:
- Custom graphics that show results
- Raw screenshots that show results
- Screenshots that show a step-by-step process
- Visuals that help explain concepts or ideas
Optimize for conversational queries (e.g. voice and long-tail questions)
Today, AI is reshaping how people search. AI-powered search adds layers of context, intent, and nuance to the process, guiding users toward more conversational, specific queries such as:
- How can I tell if an SEO agency really understands SaaS?
- What does a good SaaS SEO strategy actually look like
- How long should it realistically take to see results?
This evolution means SEO isn’t just about ranking for a keyword—it’s about collaborating with AI systems to deliver the most relevant, trustworthy, and actionable answers. The companies that succeed blend SEO fundamentals with AI-informed insights, ensuring their content shows up in search, resonates with intent, and scales effectively.
To create content that truly resonates in this combined search landscape:
- Identify the core frustrations and pain points users express (forums like Reddit are gold mines).
- Highlight authentic user language that can be repurposed in intros, headers, or pull quotes.
- Avoid generic two-word headings. Instead, write conversational, question-based headlines that mirror how real people search and how AI structures results.
For example:
✅ “What does a good SaaS SEO strategy actually look like?”
❌ “SaaS SEO strategy”
How to measure whether intent-driven SEO is working
To measure if intent-driven SEO is working, track metrics such as organic traffic, user engagement signals, SERP feature ownership and branded search volume trends. You can use Google Analytics 4, Semrush and even run A/B tests. The goal is to see if your intent-driven strategy is helping you gain the results you wish.
Here are the core intent-driven metrics:
Event count and revenue: In Google Analytics 4, track Engagement/Events and Total revenue that represent the sum of revenue from purchases, subscriptions, and advertising.
Total users: Monitor the number of unique users who triggered any event in the specified date range. An event is triggered when the criteria for an event (e.g. session start, user engagement, page view, etc) are met. An increase in this rate suggests that your content is effectively meeting user intent and guiding them toward conversion.
Purchase journey: For a more complete picture, track the session start and purchase sessions generated from traffic analysis. This can show the true value of your SEO.
Use the advantage of AI insights and get more valuable information.
User engagement: If the average engagement time is increasing, then your content is relevant and intent-driven.
SERP feature: Track your content’s appearance in “AI Overview” features, “People Also Ask” boxes, featured snippets, and Image packs. Ranking in SERP features indicates that your content is trusted and intent-driven.
Why intent-driven SEO wins
Content designed around user intent is more resilient to algorithm updates, ensuring authority and credibility, making users more likely to engage and return.
Targeting content to intent attracts qualified traffic, reduces wasted clicks, and improves conversions, delivering measurable results.
Forget about keyword-only strategies. Align your content with user goals, build trust, drive higher-quality traffic, and ensure long-term visibility in AI-enhanced search results.
