30-second rundown
- DO structure your content using a pillar-and-cluster model, with hub pages linking to in-depth cluster pages, so AI systems can follow the full topical web you’ve built.
- DO allow AI crawlers through your robots.txt and whitelist their IP ranges in your firewall, or your best content might as well be carved into a cave wall.
- DON’T treat all AI platforms as interchangeable. Google AI Mode, ChatGPT, and Perplexity have different mechanics, and optimizing for one while ignoring the others is a losing gamble.
Three takeaways from Aleyda Solis’ ‘The 10 Steps AI Search Content Optimization’ checklist.
The SEO industrial complex has mutated, and it dragged in a fleet of autonomous machines that don’t care about your page rank or your carefully massaged meta descriptions.
Aleyda Solis has produced a 10-step checklist for surviving the AI search revolution, and it covers everything from crawlability to citation-worthiness to monitoring your brand sentiment in LLM answers.
It is thorough, it is dense, and it will make you feel mildly inadequate about every piece of content you have ever published.
1. Know Where Your Audience Has Gone.
The first order of business is raw intelligence gathering.
You need to identify which AI platforms your audience actually uses, map the conversational prompts they fire into those systems, and benchmark your brand’s inclusion, link presence, and sentiment in the answers that come back, against your competitors.
AI search users don’t type two-word keywords anymore; they ask long, task-oriented, multi-turn questions, and if you’re still optimizing for the old behavior, you are chasing a ghost.
2. Build the Architecture the Machines Expect.
AI systems use a technique called query fan-out, breaking a complex question into multiple subqueries and pulling the best content for each subquery from across the web.
The structural response to this is a topic cluster model: one comprehensive pillar page that summarizes each subtopic and links to dedicated cluster pages that go deep on every individual subtopic.
Each chunk of content must then be independently understandable, semantically tight, one clear idea per section, with a descriptive H2 or H3, because AI systems don’t retrieve pages, they harvest passages.
3. Authority and Citation Are Not the Same Thing.
Getting pulled into an AI answer and actually getting cited are two different prizes, and the second one requires more.
To earn attribution, your content needs verifiable, sourced, up-to-date claims; visible author credentials and EEAT signals; structured data for author and organization; and fresh timestamps.
Beyond the page itself, you might need original research that earns coverage in reputable publications, a consistent brand presence across platforms, and genuine community engagement in the places your audience actually lives: Slack groups, subreddits, newsletters, and industry forums.
The last step in Solis’s checklist, the one most people will skip because it feels like homework, is monitoring.
That means tracking brand mentions, sentiment, and link inclusion across every major AI platform separately, benchmarking against competitors, segmenting your AI referral traffic in analytics, and watching how AI bots actually crawl your site over time.
This is not a one-time audit.
It is a permanent surveillance operation on a landscape that shifts without warning.
