Audience Connections

SEO Looks Different Now

Jen Keefe

March 31, 2026

Understanding Modern SEO and How to Write for AI Search

AI hasn’t replaced SEO. It has reshaped it.

Many marketers still focus too heavily on search factors like keyword difficulty, density, backlink volume, and ranking in traditional blue links. But the way people search, and the way AI generates information, now requires a revised approach.

Modern search results are dominated by:

AI-generated overviews and summaries
Zero-click answers
Featured snippets
People Also Ask sections
Conversational search responses

AI search has effectively removed the need for a user to visit a website at all, and in a 2025 report, Bain & Company states that “brands will need to rethink their marketing strategies to avoid falling behind in this new era of search.”

To compete in this environment, marketing teams adapting their content strategy for AI search environments must understand how to write content that AI can interpret, summarize, and surface.

This isn’t a complete overhaul of SEO. It’s evolving to include new tactics, but isn’t stripping away the “classic” tactics either – they now work alongside AI-optimized content strategies to get your audience to your content.

Moving From Keyword Optimization to Information Optimization

Understanding how to write for AI search is all about context, structure, and intent – not just keyword placement, because SEO is no longer about ranking pages – it’s about how knowledge is structured.

To get a full picture of where we are, let’s take a quick look at what traditional SEO focuses on.

Target keywords, which are peppered strategically throughout copy to appeal to Google search by validating the content topic and value.
Keyword density, which is the number of times the target keywords appear in content or a webpage compared to total word count, which Google uses to measure content relevance.
Exact-match phrases, which show results when a user’s search exactly matches the meaning and intent as the target keyword.
Banklink quantity, which measures the number of instances a piece of content is linked to from an outside source, which improves Google’s favorability of the content.
Technical performance, which optimizes a site’s infrastructure from the backend, ensuring a seamless user experience, page load speed, and other metrics.

These search tactics are not obsolete, but with AI now powering search engines, the process is more sophisticated.

Now, search engines prioritize:

Context over repetition of target keywords
Topic relationships over isolated keywords
Clear, structured information over long, unformatted text
Topical authority over one-off blog posts

AI isn’t just word-matching. It’s interpreting intent, mapping relationships among topics, and evaluating the depth of topical expertise.

Structured content audits are one of the fastest ways to improve AI summary visibility. Contact us to see how your content stacks up for the AI era.

How AI is Reshaping Search Behavior

Search engines now surface AI overviews before traditional results, and we’ve all scanned the instant answer, extracted what we need, and moved on, satisfied with our quickly-achieved knowledge.

As marketers, this method of information delivery has two major implications for websites:

traffic to your site isn’t guaranteed
being summarized or cited by AI may matter more than being clicked

Zero-click behavior has become the default for informational searches, meaning if your content isn’t structured in a way that gives AI something contextual to extract and summarize, you are potentially invisible, even if your search metrics show that you rank.

That same Bain & Company research found that on traditional search engines, about 60% of searches end without the user progressing to another destination site.

This data tells us that being visible today relies on being extractable to both humans and machines – because you may not get a click even if you show up.

Breaking Down How to Write for AI Search

Knowing how to write for AI search means catering to generative engine optimization strategies – structuring the content in ways AI can easily interpret.

Word of warning: don’t confuse GEO with writing for robots. Real people are still searching and evaluating the results they get, and Google has taken action against pages that are written for search engines over people.

Here are 4 easy ways to integrate GEO into your writing.

1. Clear, Structured Formatting

AI favors content that is:

Well organized and concisely written
Broken into short digestible paragraphs
Supported by bullet points and idea grouping
Framed around specific questions and answers – think FAQs at the end of a blog post (guess what you’ll find at the end of this blog post?)

AI is more likely to pull structured content into overviews and summaries because it speaks to your audience’s direct questions and provides digestible answers.

In 2025, a McKinsey & Company trend analysis showed that about 50 percent of Google searches already have AI summaries, a number that’s predicted to surpass 75 percent by 2028.

Further, these overviews and summaries include links to the sourced web pages, so you’ll be more likely to get traffic by appearing as a prioritized AI search result.

2. Answer-First Writing

Modern search rewards clarity and conciseness.

Ignore the inclination to wax poetic about a topic before getting to the point (as we’ve done here). Instead, lead with the answer – a core data point or actionable conclusion – follow it with explanation and context, and end with a strategic solution. Here’s an example, based on my own personal love of and advocacy for breakfast:

Answer/Data Point:

Eating breakfast is strongly associated with improved cardiovascular health, cognitive function, and metabolic regulation, with studies showing that skipping it can increase the risk of heart disease by 21% and type 2 diabetes by over 20%.

Explanation:

Breakfast kicks off the body’s metabolism for the day, helps manage weight by reducing hunger, and ensures essential nutrient intake. A balanced breakfast improves long-term health, including heart health and blood sugar regulation.

Greater Context:

Boosts Energy and Metabolism: It acts as fuel for the day, raising energy levels and kickstarting the metabolism to burn calories more efficiently.

Improves Brain Power: Breakfast increases alertness, concentration, memory, and cognitive performance.

Weight Management: It helps control appetite, preventing overeating or making poor food choices later in the day.

Nutrient Intake: Breakfast provides essential vitamins and minerals (like fiber and calcium) necessary for good health, which may be missed otherwise.

Long-Term Health Benefits: Regular breakfast consumption is linked to a lower risk of chronic diseases, such as heart disease and Type 2 diabetes.

Strategy:

Ideally, breakfast should be consumed within two hours of waking, including a mix of complex carbohydrates, fiber, and protein for sustained energy.

This format should look familiar – just Google literally anything. Answer-first writing speaks to the way searchers think and the way AI is serving up information to be useful and digestible.

3. Topic Authority Over Keyword Volume

It is more important to demonstrate topical authority than chasing isolated keywords.

Our breakfast example above is structured for an AI overview or summary, but lacks the depth that would separate it from millions of other digital content about the importance of breakfast.

Here are a few tactics to help set your content apart while catering to GEO:

Stop keyword stuffing and infuse the E-E-A-T model: Experience, Expertise, Authoritativeness, and Trustworthiness so you’re telling an authentic story, not just peppering keywords.
Go beyond a core keyword set to explore subtopics, related themes, or long-tail queries that expand your topic into a broader story.
Conduct searches to see what AI search results are currently missing; i.e. is AI not citing any data about the correlation between breakfast and heart health? Good thing you cover that in the first paragraph.
Cover topics comprehensively around a core theme. This approach, often called content clustering. means building a deep, connected repository of quality and specialized content specific to a niche subject.

In short, building topic authority means:

Including original research and insights
Sourcing reliable data-backed claims
Linking content within the same topic
Consistent publishing within the topic area

Content clustering strategies are now central to AI discoverability planning. Contact us to see how our content strategy team can make your content attractive to AI.

4. Conversational and Intent-Based Writing

Because of smart devices and virtual assistants like Alexa, Google Home, and Siri, we’ve all adopted a conversational approach to asking questions. Instead of “optimizing blog posts”, we now type complete, conversational questions like, “what are 10 ways I can optimize my marketing agency’s blog posts?”

Here’s one way – write for these intent-based queries.

The Wall Street Journal explains in a 2025 article that conversational queries are driving the results shown in:

featured snippets
people also ask sections
zero-click searches
local packs

The article also explains that AI and Natural Language Processing (NLP) allow search engines to process user intent by deciphering context, sentiment, and implied meaning in search queries.

Stop optimizing for those short-tail, non-conversational phrases and optimize instead for intent. What are people asking? How are they asking? Then mirror those human-centric questions in your content.

Is Generative Engine Optimization Replacing Traditional SEO?

No. But AI is changing the way we optimize. The traditional infrastructure remains the underpinning of AI search, with all the familiar critical elements like:

Crawlability
Technical performance
Site load speed
Responsive web design
Metadata (meta title and description)
Schema markup
Topic authority
Backlinks

These traditional SEO infrastructures need to be strong for AI to identify and surface your content.

Use traditional SEO to get your site indexed, and a combination of modern SEO and generative engine optimization to get it held up front and center. In today’s search environment, all three approaches are crucial.

Are There Arguments Against Writing for AI Search?

There are some who argue optimizing for AI search actually devalues content or harms click-throughs and brand authority.

You can also read our hot take on whether LLMs like ChatGPT are killing off authenticity and novelty, and the responsibility humans have in using these tools.

The concept of “zero click” – giving users an instant answer to their query that doesn’t require them to click through to a website for more detail – is without a doubt changing the way people get and use information. But if your content is appearing in AI search, the visibility itself still drives:

Brand recognition
Branded search growth
Topic authority
Down-funnel conversions

There are traditional tenants of winning traffic that will always have value:

Invest in your brand to build loyalty and equity in ways that can’t be done – or replicated – using AI.
Continue producing expert content and protect intellectual property by offering it in formats, locations, or styles that AI can’t easily find or use to train its models.
Maintain brand authenticity by ensuring real humans are writing your core, high-value content.
Use AI only for efficiency, such as to produce metadata or suggest AI search-friendly formatting optimizations

At-a-Glance Guide to Writing for AI

Keep this checklist handy to remind yourself of the top 7 elements that optimize your content for AI search:

✓ Lead With Intent, Not Just Keywords

Leverage the questions your audience is asking – not just the keywords they’re typing.

✓ Practice Clarity & Conciseness

Focus on clear statements that get to the point, and avoid lengthy or vague paragraphs that bury the value.

✓ Use Strategic Headers

Leverage your headers to reflect the real queries and subtopics your audience is asking.

✓ Include Structured FAQs

FAQs align well with conversational search queries and are easy to pull for summaries and AI overviews.

✓ Add Schema Markup to Your Site’s HTML

Integrating structured data helps search engines understand content context.

✓ Build Topical Authority

Create articles around a niche topic to build topical authority around a core theme.

How Do I Measure Success With AI Search?

Measuring success in the AI era is an expanded approach to how we already do it. However, while click-throughs and site traffic have historically been the gold standard metrics, they’re no longer the only metrics that carry weight, nor the only metrics that should be considered.

Success using AI search should also be tracked by measuring:

Whether you are showing up in the AI overviews and summaries
Increases in searches using branded keywords or queries
Metrics around engagement – with your site, your social platforms, etc.
Share of voice across platforms

Your brand will never go wrong by investing in strong, strategic content – the shift is how that content is presented. SEO is 100% still in the game, and your content simply needs to be visible, easily summarized, and able to be extracted for AI’s approach to SERPs.

FAQs: Modern SEO and AI Search

What is AI search optimization?

AI search optimization is the practice of structuring content so AI systems can interpret, summarize, and surface it in overviews, summaries, and conversational responses. It focuses on clarity, structured formatting, topical authority, and intent-based writing rather than keyword repetition alone.

Is traditional SEO still important in 2026?

Yes. Traditional SEO remains essential because AI systems rely on crawlable, technically optimized websites. Site speed, metadata, schema markup, backlinks, and mobile usability are still foundational for visibility.

What is zero-click search?

Zero-click search occurs when users get their answer directly from search engine results pages through AI overviews and summaries— without clicking through to a website.

How do I structure content for AI overviews and summaries?

To optimize for AI overviews and summaries: