Suggestions on using it or not? Just getting into it after spending yrs with AIOSEO. It certainly does schema better.

Knowledge graphs are the foundation of how AI systems understand relationships between entities. Google's Knowledge Graph, Wikidata, and proprietary AI knowledge bases all work similarly: they map connections between people, places, concepts, and organizations. The Knowledge Integration pillar of the SPARK Framework™ focuses on getting your brand properly represented in these graphs. This means structured data markup, consistent NAP information, authoritative backlinks, and content that clearly defines what you do and who you serve. When AI systems query these graphs, they're looking for entities with strong, verified connections. The more robust your knowledge graph presence, the more likely you are to be cited as an authoritative source. Question for the community: What tools or strategies have you found most effective for improving knowledge graph representation?

Exclusively for my SEOSA Members! This is what a good site architecture should look like... If you have any questions, drop them in the comments and tag me!

AI systems need to crawl and parse your website effectively. The SPARK Framework™ includes technical infrastructure optimization as a core component. Ensure your robots.txt isn't blocking important content, your XML sitemap is comprehensive and updated, your site architecture is logical and crawlable, and your server response times are fast. Additionally, implement proper canonical tags and handle redirects cleanly. Technical issues that prevent AI systems from accessing and understanding your content will severely limit your visibility, regardless of content quality. Question for the community: What technical SEO issues have you found most commonly impact AI crawling? How do you audit for these?

While AI systems don't "experience" your website the way humans do, user experience still matters for AI search success. The SPARK Framework™ recognizes that AI systems evaluate signals that correlate with good UX. Fast page load times, mobile responsiveness, clear navigation, and low bounce rates all send positive signals. Additionally, AI systems are increasingly factoring in user satisfaction data when determining which sources to cite. A website that provides excellent user experience is more likely to earn the engagement metrics and return visits that signal authority to AI systems. Question for the community: How are you balancing technical SEO optimization with user experience improvements? Where do you see the biggest overlap?