AI Optimization: How to Rank in AI Search (+ Checklist)
6 Steps to Get AI to Recommend Your Brand
When a potential user asks ChatGPT, Google AI, or Perplexity for recommendations, does your brand appear in the answer? Not just cited — actually mentioned in the response? That’s a crucial distinction.
Brands that AI systems mention with context and positive sentiment attract the most intent-driven traffic. Semrush research shows that visitors who find a brand in an AI answer are 4.4 times more valuable than those from traditional search.
They’re pre-qualified. They’ve seen AI endorse your solution, and unlike SEO, AI doesn’t care about website authority.
So if you follow best practices, your startup can earn favorable mentions over more established competitors. Meritocracy.
How do you make that happen?
Read on to learn:
- How AI search works
- How the Backlinko team approaches AI SEO
- Best practices to make your site AI-ready
What Is AI Optimization (And Why You Should Care)?
AI optimization is the process of making your website accessible and understandable to AI-powered search tools. Like ChatGPT, Claude, Gemini, Perplexity, Google AI Overview, and Bing Copilot.
Some call it “AI search optimization.” Others “AI content optimization.” Terminologies vary, but they’re all about the same thing: Make your site easy for large language models (LLMs) to find, understand, and reference in their answers.
But why is AI optimization so important now? AI tools are expected to drive more traffic than traditional search engines by 2028.
Over [700 million people](/content/chatgpt-stats "ChatGPT / OpenAI Statistics: How Many People Use ChatGPT"/index.html) use ChatGPT every week. Millions more use Perplexity, Gemini, and other AI platforms.
Google’s AI Mode already has more than 100 million monthly active users. And that’s just in the US and India.
How AI Search Works
LLMs find relevant content across the web based on users’ prompts, then combines it into one comprehensive answer with source links. There are three broad steps:
1. Understanding Your Prompt
First, AI interprets what you’re asking. Some platforms (and specific models) may even expand or tweak your query for better results.
2. Retrieval
Next, the AI platform searches for information in real time. Different platforms use different sources (Google’s index, Bing, curated databases, etc.). But they all work the same way.
3. Synthesis
Finally, AI decides which sources to include. The exact criteria aren’t public, but these factors seem to matter:
- Authority: Recognized brands (entities it knows) and established experts
- Structure: Clear, scannable content with direct answers
- Context: Content that covers topics semantically (related concepts, not just keyword matches)
How to Optimize Your Website for AI Search
Developer Tasks
1. Make Your Site Accessible to AI Crawlers
AI crawlers need permission to access your site through your [robots.txt](/content/hub/seo/robots-txt "Robots.txt and SEO: Complete Guide"/index.html) file. If you block them, your content won’t appear in AI search results.
Here are the main AI crawlers:
- GPTBot (OpenAI/ChatGPT)
- Google-Extended (Google’s AI Overview)
- ClaudeBot (Anthropic/Claude)
- PerplexityBot (Perplexity)
If you find them blocked, add these lines to your robots.txt:
User-agent: GPTBot
Allow: /
User-agent: Google-Extended
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: PerplexityBot
Allow: /
2. Use Semantic HTML So AI Knows What’s Important
Use proper HTML tags for your content:
for your main title
and
for subheadings
for blog posts for primary content
3. Optimize Your Server Response Time
Your server response time is how long it takes your server to start sending data after receiving a request. If it’s slow, your pages take longer to load. And AI crawlers may move on before they ever see your content. You can use Google’s PageSpeed Insights tool to check your server response time.
SEO Tasks
7. Structure Pages for Fragment-Friendly Indexing
AI pulls specific fragments from your pages — sentences and paragraphs it can use in responses. Your page structure affects how easily AI can extract these fragments.
8. Build Topic Clusters That Signal Full Coverage
Create [pillar pages](/content/pillar-pages "Pillar Pages: How to Create One + Examples"/index.html) for your main topics. These are comprehensive guides that link out to all related content.
9. Add Schema Markup to Label Your Content
When AI crawls your page, it sees text. But it doesn’t know (without natural language processing) if that text is a recipe, a review, or a how-to guide. [Schema](/content/schema-markup-guide "Schema Markup: What It Is and Why It Matters"/index.html) explicitly labels each element of the page.
10. Add Detailed Content to Category and Product Pages
Most category pages are just product grids. That’s a missed opportunity for AI search optimization.
11. Track Where AI Mentions Your Brand (and Where It Doesn’t)
You need to know where AI is mentioning your brand and where it isn’t. You can try checking this manually or use Semrush’s AI SEO Toolkit.
12. Optimize for Natural Language Prompts, Not Just Keywords
Your keyword strategy needs to evolve for AI search.
Content Tasks
13. Publish Original Content with Data, Examples, and Insights
Generic blog posts restating common knowledge rarely perform well in AI search results. But content with fresh angles and concrete examples does.
14. Embed Your Brand Name in Context-Inclusive Copy
Embed your brand name inside sentences so when AI reuses a fragment, your company is part of the answer.
15. Create Pages for Every Use Case, Feature, and Integration
Specific pages are more likely to appear in AI responses than generic ones.
16. Expand Your Reach Through Non-Owned Channels
AI engines lean heavily on third-party sources. This goes beyond your on-site efforts.
Your Next Move in AI Search Optimization
Start simple. First, run your site through Semrush’s AI SEO Toolkit. It shows where your brand already appears in AI search results and where you’re missing opportunities.