These days, customers are no longer just searching—they’re asking. McKinsey reports that AI-powered search has become the most preferred source of information for users, fundamentally changing how people discover and evaluate products.
For founders, this changes the game, says Digital Marketing Expert Bev Ho in a Spring 2026 Workshop at the Harvard i-lab.
From Page 1 Ranking to First Answer
Traditional Search Engine Optimization (SEO) is about ranking: getting your website to appear high on a list of links.
AI search works differently. Instead of presenting options, AI tools generate a single synthesized answer, pulling from a wide ecosystem—reviews, forums, research, media, and brand content. So now there’s Generative Engine Optimization (GEO).
The question is no longer “Are you on page one?”
It’s “Are you part of the answer?”
At the same time, Bain finds that around 60% of searches now end without a click, as users rely directly on AI-generated answers.
That “first answer” has become the most valuable real estate on the internet.
Why Many Startups Are Invisible
Despite this shift, most companies are not yet optimized for AI discovery.
McKinsey notes that many organizations still treat AI search as an extension of SEO—rather than a fundamentally different system—leading to gaps in visibility.
The reason is simple: AI systems prioritize different signals. Instead of keywords and backlinks, AI rewards:
- Clarity – can it easily extract what you do?
- Consistency – does your description match across platforms?
- Trust – do credible sources validate your claims?
If your content is vague, overly promotional, or inconsistent, AI may read it—but choose not to use it.
The “First-Answer” Framework
So how do you design your brand for this new environment?
A useful approach is what we can call First-Answer Readiness, built around three principles:
1. Clarity: Make Your Answers Explicit
AI models answer questions, not keywords.
Identify 5–10 specific questions your customers ask—and answer them directly.
Structure your answers clearly:
- What it is
- Why it matters
- How it works
- When to use it
- What alternatives exist
Think less like a marketer, more like a guide.
2. Structure: Make Your Content Extractable
Even strong content can fail if it’s hard for AI to parse.
AI systems look for structure:
- Clear headings
- Question-and-answer formats
- Logical flow
- Structured data (schema markup)
Your goal is to make your content easy to extract—not just easy to read.
3. Authority: Make Your Claims Trustworthy
AI doesn’t just retrieve information—it evaluates it.
Bain and McKinsey both highlight that trust signals increasingly determine what gets surfaced in AI-generated answers.
These signals include:
- Third-party certifications
- Academic or research partnerships
- Credible media coverage
- Verified performance data
- Consistent customer validation
For B2B (seling to business), credibility often comes from institutions.
For B2C (selling to consumer), it comes from distributed proof—reviews, forums, and social validation.
Specificity Wins
One of the most counterintuitive lessons in this shift: being more specific makes you more visible.
AI systems favor precise, contextual claims over broad positioning.
Compare:
- “Affordable sustainable packaging”
- vs. “Compostable mailers for ecommerce brands shipping 100–5,000 orders/month”
The second is far more likely to be surfaced.
Even more powerful: being explicit about where your product doesn’t work.
Counterintuitively, honest constraints increase trust, making AI more likely to include your content.
Become the Category Teacher
Most startups focus on explaining their product.
But in an AI-driven world, the real opportunity is to teach the category.
McKinsey emphasizes that brands that shape how customers understand a category are more likely to influence decisions upstream.
That means creating content that answers:
- What are the different options?
- When should each be used?
- What tradeoffs matter?
When you become the source that explains the landscape, AI systems are more likely to treat your brand as a reference point.
Designing for an AI-Mediated Future
This shift goes beyond search.
As AI agents increasingly act on behalf of users—researching, comparing, and even purchasing—your audience is no longer just people.
It’s also agents making decisions for people.
That means designing for both:
- People (clear benefits, compelling narrative)
- Agents (structured data, verifiable claims, consistency)
The companies that win will be the ones that do both well.
Where to Start
The good news: this shift is still early.
A simple starting point:
- Identify the top questions your customers ask
- Rewrite your homepage with direct, explicit answers
- Create a consistent, concise company description
- Add visible trust signals (press, certifications, metrics)
- Build pages that each answer a single key question
From there, you can iterate.
