Losing clients can make any SEO feels shaky—especially when headlines say AI tools are sending traffic directly to big brands. That pressure can push people toward a full pivot away from ecom or traditional SEO. In reality, abandoning proven channels is usually the wrong move. The smarter play is to layer AI optimization on top of existing SEO work, strengthen brand signals, and capture demand wherever search now starts.
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Why we should not switch completely
Google still sends a lot of traffic. For many searches, people still use Google first. In local search especially, Google remains strong. What is changing is how people start the search. More people use AI chat tools to get quick recommendations. But then they often go back to Google to check reviews and details.
That means a full pivot to AI optimization is risky. If we stop doing traditional SEO and local work, our clients will miss out on the searches that still go to search engines. A better path is a hybrid strategy that covers both AI and classic SEO.
How search behavior is shifting
Search is becoming a two-step process for many people:
- Step one: Ask an AI chat app for recommendations or ideas.
- Step two: Search the recommended brand names on Google to check reviews, hours, prices, and other details.
That behavior makes branded searches more important than ever. When an AI mentions a company name, the next move from the consumer is often a branded search. If our brand shows up strong in those results, we win the click and the lead.
Branding is publishing content in multimedia format that is always referencing the brand and creating associations between the brand and the products or services it provides and the locations in which it provides them.
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What hybrid optimization looks like
We can split work into two streams that support each other: brand-first content for AI discovery, and traditional SEO for discovery in search engines. Here are clear steps we can take.
1. Build a brand content plan
- Create short, clear pieces of content that mention the brand by name and link to the service or product. Use blog posts, videos, social posts, and press releases.
- Post on platforms with authority when possible. A press release or a feature on a high-authority site helps the brand show up in many places.
- Be consistent. The more places the brand appears with the same name and messaging, the easier it is for AI and search engines to associate the brand with the service or product.
2. Optimize the brand search result
- Make the brand's homepage, About page, and contact info clear and consistent.
- Use schema where it matters: Organization, LocalBusiness, Product, and FAQ markup help search engines and AI read your content faster.
- Control the first page for branded search results. This means the website, Google Business Profile, reviews, social pages, and authoritative mentions should all look good.
3. Keep traditional SEO strong
- Keep doing keyword research and build landing pages for primary product categories.
- Fix technical SEO issues like site speed, mobile layout, and crawl errors.
- Build links the steady way: content that naturally attracts backlinks and outreach to relevant sites.
4. Add AI-focused content
- Write content in a conversational tone. AI systems favor clear, direct answers to common questions.
- Create short snippets and FAQs that answer user intent fast. These can be used by AI chat tools as quick responses.
- Use Q&A schema and structured content so AI systems can find and surface your answers easily.
5. Strengthen local signals
- Keep Google Business Profile complete and current. Hours, photos, services, and posts matter.
- Encourage reviews and respond to them. Reviews are often what people check after an AI suggests a brand.
- Keep citations consistent across directories and local listings.
6. Measure and iterate
- Track branded search volume and branded traffic to the site.
- Watch referral sources for signs of AI-driven traffic from new channels.
- Test different content formats and note what gains visibility on AI and search platforms.
Quick checklist
- Brand content: Blog posts, videos, press mentions that say the brand name.
- Branded SERP: Website, GBP, social profiles, and reviews are clean and optimized.
- Schema: Organization, LocalBusiness, FAQ, Product where needed.
- Conversational content: Short answers, FAQs, and clear summaries for AI use.
- Traditional SEO: Keywords, technical fixes, and link building.
- Local focus: GBP, citations, and review management.
Practical example
Imagine a customer asks an AI chat app: Who is the best tree service near me? The AI returns three brand names. The customer then searches each name on Google. If our client’s site, reviews, and Google Business Profile look stronger than the other two, the customer will call us. If not, we lose that lead. That is why the hybrid approach matters.
Common concerns
Should we drop ecom SEO and only do AI optimization?
No. We should keep doing ecom SEO. Traditional search still sends strong traffic. AI adds another discovery layer, but it does not replace search yet. A mix of both gives the best coverage.
How do we optimize specifically for AI tools?
Focus on short, clear content that answers common questions. Use FAQ pages, simple summaries, and schema. Publish content on high-authority platforms and be consistent with brand mentions.
Will Google go away or stop being useful?
Unlikely soon. Google will likely add more AI features, but people will still use search engines to check facts, reviews, and details. We should plan for search that uses AI, not for search to disappear.
How do we measure AI-driven traffic?
Look for increases in direct traffic, branded organic traffic, and referrals from unexpected domains. Track changes in branded search volume and keep an eye on referral sources listed in analytics.
Final take
We do not have to choose one lane. The best path is to add AI optimization to our work while keeping core SEO and local efforts strong. Make the brand loud and clear across many places. Optimize the brand search. Keep classic SEO healthy. That way, we capture both AI-driven leads and people who still search the old way.

