EP 72: AI Search Conversation: The New Rules of Being Found Online
How Interior Designers Get Found in AI Search (And What's Actually Changed)
- If AI can't clearly define you, it cannot recommend you. Clarity and consistency are the foundation.
- AI search is built on traditional SEO. You are not starting over. You are adding layers.
- Structure your blog posts for extractability: answer first, then support. Flip the essay format.
- Brand mentions are the new backlinks. A podcast feature without a link still counts for AI visibility.
- Your voice and lived experience are the differentiator. Generic AI content cannot replicate a real point of view.
Robyn works almost exclusively with interior designers as a website designer, brand strategist, and SEO specialist. She offers website design with brand visuals and copywriting, traditional SEO, AI search optimization, audits, and ongoing monthly SEO services. Robyn is joining Jenna as a guest instructor for Q2 of the AI for Interior Designers™ Certificate Program — her class on AI search visibility is on May 19th.
Visit RDW Design Studio ↗The Short Answer
Interior designers get found in AI search the same way they always got found online: by being clear, consistent, and credible everywhere they show up. What has changed is where you need to show up and how your content needs to be structured so that AI can extract and recommend you with confidence.
What SEO Actually Is (And Why It Still Matters)
SEO is the process of improving your website pages so they show up in organic, non-paid search results. Traditionally that meant Google. Practically speaking, it also means YouTube, Pinterest, and now the large language models: ChatGPT, Claude, Gemini, and Perplexity.
This has not gone away. Google is not going away. But AI has added new layers on top of the foundation you have already been building. If you have been working on your website content, your technical setup, and your backlink profile, you are ahead. You are not starting over.
The designers who are panicking about AI search are often the ones who were already behind on traditional SEO. The designers who have been consistently showing up, telling their story, and building credibility online are already positioned for this. They just need a few updates to the structure.
How AI Search Is Different From Google Search
Google search is built around keywords. Someone types "interior designer in Boston" and Google ranks results based on relevance, authority, and technical signals.
AI search is built around questions and conversations. Someone types "who offers full-service interior design in Boston that specializes in coastal transitional style and works with custom furniture?" and the AI synthesizes an answer from everything it has learned about you across the web.
That is the shift. From keywords to questions. From ranking to being recommended.
What this means for your business: you need to be clear enough, consistent enough, and present enough across the web that AI can confidently say, "This is who she is, this is what she does, and this is when to recommend her."
The Signal That Matters Most: Brand Mentions
In traditional SEO, backlinks are the authority signal. Another website links to yours and that counts as a vote of credibility.
In AI search, brand mentions are the authority signal. When a podcast features you, when a publication writes about your work, when another designer references you in a blog post, the mention of your business name is what AI is looking for. Even without a link back to your website.
Ideally you want both. The backlink still matters for Google. The mention matters for AI. But if you have been guest-speaking, appearing on podcasts, or contributing to industry publications and walking away without a website link, that mention is still working for you in the AI world. That is something worth knowing.
Why Consistency Is Everything Right Now
This is where I see most firms get tripped up. Your bio says one thing on your website, something slightly different on your Instagram profile, and something else entirely in that guest post you wrote two years ago. To a human, those differences are subtle. To a bot, they are a red flag.
AI is trained to look for patterns. Inconsistency breeds distrust in the model. It creates noise around your brand entity. And when AI is uncertain about who you are, it simply will not recommend you.
Get crystal clear on who you are, what you do, who you do it for, and how you do it. Then make sure that message is identical everywhere you show up online. Your website, your social profiles, your newsletter bio, your podcast introductions. It all needs to say the same thing.
That is the foundation. Without it, nothing else works as well as it should.
How to Structure Blog Posts So AI Can Actually Use Them
This is the piece most designers are missing, and it is where the biggest opportunity is right now.
We were all taught in school to build toward a conclusion. That format does not work for AI extraction. AI wants the answer immediately. It is looking for extractable, direct responses it can pull into a recommendation.
Here is the structure that works:
This is also exactly how this post is structured. These are not just concepts. This is the workflow in action.
Your Voice Is the Differentiator AI Cannot Replicate
Here is what I have been doing for my own content, and what I would recommend to any design firm right now.
After a client meeting, I record a voice note. I talk through what we worked on, what the challenge was, what we solved. I strip out any identifying client details. And then I bring those words — my real words from a real project — into Claude with my brand voice skill loaded. I ask it to help me shape that into a blog post.
The result is content that sounds like me because it is me. It has a real point of view. It came from a lived experience. It reflects expertise that cannot be replicated by someone who just asked an AI to write a blog about interior design trends.
The workflow is simple: speak it, then refine it. Do not start with a blank prompt. Start with your own experience.
What EEAT Means and Why It Has Never Been More Important
EEAT stands for Expertise, Experience, Authority, and Trustworthiness. Google introduced this framework years ago to evaluate content quality. AI has inherited the same values.
When you share a case study with a before and after, the story behind it, the problem the client came in with, how you solved it, and a testimonial from the client who lived through the transformation, that is EEAT in action.
Do not just post the before and after photo. Share the story. Where was the client before? What was broken about the space? What did you bring to the project that made the difference? How did they feel when it was done?
That depth is what builds your credibility with AI over time. And it is what your ideal client is looking for too. These are not separate goals.
A Simple Action You Can Take This Week
Pick one blog post that is already on your site. Read it with fresh eyes and ask yourself:
If the answer to any of those is no, update that one post. Do not overhaul everything at once. Start with one. And if you do not have a brand voice skill built inside your AI model yet, that is the first thing. It is the foundation that makes everything else faster and more consistent.
Disclaimer: This blog was written using AI as a recap from the recording then edited by the author for accuracy and details.
