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How AI Search Is Replacing SEO: Greg Rosner’s Take for Small Businesses

B2B buyers are increasingly relying on AI assistants such as ChatGPT and Claude to discover products and services. Greg Rosner of PitchKitchen explains how small and local businesses can shift from keyword‑centric SEO to an answer‑engine approach that keeps them visible in AI‑driven search results.

VisibilityAI·13 October 2026·4 min read·Source: Google News ↗
How AI Search Is Replacing SEO: Greg Rosner’s Take for Small Businesses

Key Highlights

  • ✓AI assistants are becoming the primary discovery engine for B2B buyers.
  • ✓Shift from keyword‑centric SEO to answer‑engine‑friendly content.
  • ✓Structured data and schema markup are critical for AI visibility.
  • ✓Citations and authority boost AI assistant trust and exposure.

Summary: B2B buyers are turning to AI assistants like ChatGPT and Claude, forcing brands to move from traditional SEO to answer‑engine‑friendly content. PitchKitchen’s Greg Rosner explains how small businesses can adapt and stay visible in the new search landscape.

What Happened

PitchKitchen’s Greg Rosner joined the Demand Gen Report for a live Q&A, tackling one of the biggest questions on the market today: How is AI search changing the way B2B buyers find solutions?

During the session, Rosner emphasized that AI assistants are no longer niche tools for casual users; they have become the primary discovery engine for professionals seeking products, services, and industry insights. He argued that the classic SEO playbook—optimizing for keywords and rankings—must evolve into an answer‑engine strategy that supplies AI with clear, structured, and authoritative content.

Key Details

  • AI Assistants as Search Engines – ChatGPT, Claude, Gemini, and Google AI now serve as the first stop for B2B research. They crawl the web, synthesize information, and return concise answers.
  • Answer Engine Shift – The goal is no longer to rank for a keyword but to become the source the AI pulls from. That requires factual, easy‑to‑parse content.
  • Structured Data & Schema – Adding schema markup to product pages, FAQs, and case studies helps AI assistants locate and extract the exact data they need.
  • Citations & Authority – AI models favor sites that are frequently cited. A robust network of high‑quality backlinks and industry references boosts credibility.
  • Content Depth vs. Breadth – Evergreen blogs still have value, but depth on niche topics—e.g., “best software for contract management in 2024”—now drives AI visibility.
  • Local Visibility – For small and local firms, local schema, accurate Google My Business listings, and consistent NAP (Name, Address, Phone) data remain essential because AI assistants often surface nearby solutions.

What It Means For Your Business

1. Revamp Your SEO Playbook – Move beyond keyword density. Organize content so AI assistants can extract it as a direct answer.

2. Invest in Structured Data – Implement product, FAQ, and review schemas. Even a single well‑implemented schema can position your page as the default answer.

3. Build Authority Through Citations – Pitch to industry publications, partner sites, and local directories. Each citation acts as a vote of confidence for AI engines.

4. Create “Answer‑Ready” Content – Write short, factual paragraphs that directly address common questions. Use headings, bullet points, and tables for clarity.

5. Monitor AI Assistant Behavior – Leverage tools like Perplexity, Gemini, and Google AI’s search console to see how your content appears in AI responses.

6. Stay Updated on AI Trends – AI models evolve rapidly. Track updates from OpenAI, Anthropic, and Google to fine‑tune your strategy.

In short, staying visible in the AI‑driven search era means shifting from chasing traffic to delivering answers.

Why It Matters

For small and local businesses, the stakes are especially high. An AI assistant can surface a product or service to a professional who is ready to buy, effectively bypassing the lengthy SEO funnel. If your site isn’t structured for AI, you risk disappearing from the very channel that’s becoming the primary research tool for decision‑makers.

Because AI assistants often cite their sources, every mention of your brand becomes a tangible marketing asset. Those citations not only reinforce credibility but also amplify visibility across multiple AI platforms, turning a single reference into higher click‑through rates, more qualified leads, and ultimately, increased revenue.

Adopting an answer‑engine strategy—structured data, authoritative content, and proactive citation building—places your brand at the forefront of AI search. This isn’t merely a competitive edge; it’s fast becoming a prerequisite for any business that wants to be discovered by the next generation of digital shoppers.

FAQs

  • Q1: How soon should I start implementing structured data?

A1: The sooner, the better. Even a single schema markup on your product pages can improve your chances of being pulled as an AI answer.

  • Q2: Do I need to overhaul my entire content strategy?

A2: Focus on high‑impact areas first—FAQs, case studies, and product pages. Gradually extend structured data to blog posts and other content.

  • Q3: Will AI assistants replace traditional search entirely?

A3: AI will complement, not replace, search. Traditional SEO still matters, but it must evolve to support AI‑friendly content.

Why This Matters For Your Business

For small and local businesses, AI assistants have become the first point of contact for professionals ready to purchase. If a site isn’t optimized for AI, it can vanish from the view of a rapidly growing audience that prefers concise, answer‑driven results over traditional search listings. Every time an AI model cites a source, that citation acts as a credibility boost and a direct traffic conduit. By ensuring your content is structured, factual, and well‑cited, you turn each mention into a measurable marketing asset that drives qualified leads and revenue growth.

Frequently Asked Questions

How soon should I start implementing structured data?

The sooner, the better. Even a single schema markup on your product pages can improve your chances of being pulled as an AI answer.

Do I need to overhaul my entire content strategy?

Focus on high‑impact areas first—FAQs, case studies, and product pages. Gradually extend structured data to blog posts and other content.

Will AI assistants replace traditional search entirely?

AI will complement, not replace, search. Traditional SEO still matters, but it must evolve to support AI‑friendly content.

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