Website + SEO
Audits + Assessments
By: Robyn Lee
June 13 2025
5 Min Read
The way people find information online is changing and fast. Traditional SEO is no longer enough to stay competitive. Large Language Models (LLMs) like ChatGPT, Google’s AI Overviews, Perplexity, and others are becoming new entry points for online discovery. If your business isn’t adapting to these changes, you're already behind.
At MarketDesign Co., we help brands transition from search engine optimization to discovery optimization. This shift goes beyond keywords and backlinks. It focuses on visibility, credibility, and control in an AI-driven ecosystem.
Organic traffic, keyword rankings, and click-through rates remain useful, but they no longer represent the full picture of search behavior.
AI tools are now answering questions directly, summarizing content, and providing recommendations without the user ever clicking on a traditional search result. Being “ranked” doesn’t guarantee being “seen” anymore. What matters is whether your brand is cited, referenced, or pulled into those AI summaries.
If you're not showing up there—your competitor probably is.
AI platforms are pulling content from across the web, summarizing it, and presenting it without requiring users to visit a website. If your brand isn’t represented in those summaries, or worse, if your competitors are, then ranking #1 doesn’t mean what it used to.
The new question is not just: “Are we ranking?”
It’s: “Are we being referenced by AI?”
AI-first SEO focuses on how your brand appears in AI-generated content. It's about optimizing not just for humans or search engines, but also for how machines understand, categorize, and reuse your content. It includes:
Structuring content for easy interpretation by LLMs
Implementing new directives like llms.txt
to guide AI crawlers
Strengthening digital authority and brand signals
Monitoring AI-based visibility metrics—not just search traffic
We call this Discovery Optimization, and it requires a shift in mindset and measurement.
Content must be clean, skimmable, and semantically structured. Use logical heading hierarchies (H1, H2, H3), short paragraphs, and bullet points to make it easy for both users and AI systems to parse and summarize. Implement proper schema markup—especially for FAQs, How-To content, and reviews—to give machines clear context.
Review your top-performing content and optimize it for clarity, scannability, and structured data.
llms.txt
to Direct AI BotsYoast recently introduced llms.txt.
Just as robots.txt
guides search engines, the new llms.txt
file allows you to control how AI agents interact with your site. You can tell AI crawlers what content is preferred, what to avoid, and how to prioritize different pages.
Add llms.txt
to the root of your site. Use it to highlight authoritative pages and suppress outdated or non-representative content. This file is a critical step in helping LLMs surface the right messaging from your brand.
AI tools don’t just pull from relevant content, They prioritize content from sources they consider trustworthy and expert. That means your content strategy must support digital authority. Publish high-quality thought leadership. Pursue backlinks from respected domains. Maintain brand consistency across platforms.
Focus on building a network of credible citations, both on your site and across the web, to reinforce trust with AI systems.
New channels require new metrics. Start tracking how your content is referenced in AI platforms, such as ChatGPT responses, Google AI Overviews, and Perplexity citations. Monitor access logs for AI-specific bots like GPTBot and ClaudeBot. Look for patterns that reveal which of your assets are being used—or ignored.
Incorporate AI visibility into your regular reporting cadence. Surface what’s actually being seen and summarized by these platforms.
Plugins and AI-writing tools like Yoast AI, Jasper, and SurferSEO can save time, but they are not a substitute for strategic oversight. Use them to accelerate tasks—like drafting meta descriptions or identifying content gaps, but always validate outputs for accuracy, tone, and brand voice.
Integrate AI where it enhances productivity, but rely on human judgment where it impacts brand perception and authority.
AI-first SEO requires a willingness to test and evolve continuously. The platforms are changing. The algorithms are opaque. The best approach is to move quickly and measure consistently.
Test how different content formats perform in AI tools. Experiment with llms.txt
variations. Evaluate changes in visibility based on schema updates or copy changes. Make data-driven adjustments based on what resonates—and what’s ignored.
Agility is now a core competency in SEO.
Most agencies still treat SEO as a static checklist. Install a plugin. Add some meta tags. Build backlinks. That’s no longer enough.
At MarketDesign Co., we help clients develop long-term, data-backed strategies that account for both traditional search performance and AI-powered discovery. Our approach includes:
Technical audits that account for AI visibility
Custom llms.txt
deployment strategies
Schema optimization for machine readability
Reporting frameworks that track mentions and AI engagement
Content strategies that build real authority—not just rankings
We don’t chase trends. We help our clients lead them.
AI isn’t a hypothetical. It’s already changing how users find answers, make decisions, and discover brands. If you wait to adapt, you’ll be reacting instead of leading.
Now is the time to assess how AI sees your brand—and what you can do to shape that visibility. Discovery optimization isn’t a future initiative. It’s a present requirement. The brands that invest now in AI-first strategy will lead the next era of digital visibility.
If you're ready to future-proof your content, messaging, and visibility—MarketDesign Co. is your partner.
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