9 checks to audit your AI visibility without a paid tool
See whether AI platforms can find, understand, and recommend your business with a manual audit covering entities, content, and more.
Topic: Schema.org
Visual content and SEO: How to use images and videos in 2027
Make your images easier for AI to interpret, connect to the right entities, and use in search with these five optimization essentials.
Schema for AI search: Turning entity gaps into organic growth
How schema fixes and content updates can turn entity gaps into measurable gains, including stronger conversions and greater AI visibility.
SMX Now: Find the entity gaps holding back your content strategy
See how to audit entity recognition, uncover competitor advantages, and strengthen your brand's visibility. Join us for the next SMX Now.
Technical SEO for AI search: 4 fundamentals that matter
AI systems can miss content that search engines handle well. Learn what to check so your pages can be crawled, understood, and cited.
The new SEO rules for bloggers in 2026: Why clarity matters in AI search
Forget AI plugins, word counts, SEO scores, and fake freshness. Focus on better content, stronger connections, and less friction.
Schema for AI search: How to identify and prioritize entity gaps
Schema markup does more than power rich results. Build a knowledge graph, assess entity coverage, and find gaps in AI understanding.
Google’s job Indexing API isn’t the shortcut you think it is
Learn the difference between notification, crawling, and indexing, and use a free tool to check whether your API is doing what you expect.
Where AI agents get stuck on your site
AI agents retrieve most B2B website content, but pricing often sends them to third-party sources. Learn why and how to fix it.
Google’s Universal Commerce Protocol: The SEO implications
AI can discover, compare, and buy products on users' behalf. Learn how to prepare your product data, Merchant Center, and structured data.
Google merchant listings support sale duration and product category
These changes aim to align more with the Google Merchant Center feed and capabilities.
GraphRAG: What entity-first retrieval means for SEO
GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization.
How AI prompt patterns vary by industry and shape search visibility
From symptom-based questions to software comparisons, see how user prompts influence what AI systems choose to surface.
Schema.org now shows you how many sites are using each schema type
Ever wonder how many sites are using a specific type of structured data element? Now you can know.
Schema Markup Generator Tool: Build and implement schema right now
Use our Schema Markup Generator Tool to build your own schema quickly and accurately for 15 schema types like Organization, Reviews, FAQ and more!
How to use schema markup to optimize for the agentic web
AI agents rely on structured data to understand and act on your content. Learn how schema markup supports the emerging agentic web.
How to get your Google Ads seen in AI Overviews
Here's how feeds, landing pages, and audience signals help Shopping, Performance Max, and AI Max campaigns appear in AI Overviews.
Why now is the time to prepare for WebMCP
AI agents are becoming a new discovery layer, and WebMCP could become the schema markup that helps them understand and use your site.
Why your brand isn’t making the AI recommendation set
Many brands optimize for AI citations and extractability before establishing the clarity and relevance needed to enter the candidate set.
Why intent alignment matters more than perfect technical SEO
Technical fixes alone won’t resolve weak relevance signals. Here’s how to identify and correct intent mismatches across your site.
Tools and software to manage AI crawlers accessing your site
Learn how to use AI crawler tools and software to optimize for AI crawlability, allow, block, or limit AI bots, audit crawling behavior, and implement controls.
From paid clicks to answer equity: Your new 2026 search strategy
AI is crushing CTR. Learn to swap rented clicks for authority that powers answers, stabilizes leads, and protects margins.
Automate the busywork: 8 SEO tasks you shouldn’t do manually
Identify repeatable SEO tasks and build simple automation workflows so you can focus on strategy, QA, and decision-making.
Technical SEO for generative search: Optimizing for AI agents
Control how AI bots access your site, structure content for extraction, and improve your chances of being cited in AI-generated answers.
A 6-point scorecard for AI-ready product pages
See how AI assistants evaluate product pages and what they need to recommend your products — from specs to reviews and use cases.
Google updates structured data for forum and Q&A content
Forum and Q&A publishers can now clarify reply totals, quoted material, and AI use so Google better interprets discussions.
How to write for AI search: A playbook for machine-readable content
Learn how to structure clear, information-rich content that LLMs can extract, interpret, and cite in AI-driven search.
How schema markup fits into AI search — without the hype
Schema won’t guarantee citations, but it helps AI understand entities. Here’s how to use structured data for clarity and cleaner extraction.
The entity home: The page that shapes how search, AI, and users see your brand
Define your entity home, support it with pillar pages, and build corroboration. That’s how search and AI learn to trust your brand.
Why your law firm’s best leads don’t convert after research
Most referral loss isn’t random. It happens during validation — where credibility, specificity, authority, and friction break conversion.
Why entity authority is the foundation of AI search visibility
AI systems rely on entities and relationships to understand and cite brands. Learn how schema and entity governance shape AI visibility.
10 advanced ecommerce SEO tips that boost rankings and revenue
Go beyond basic SEO efforts with these small-but-mighty ecommerce plays. Learn how to use filters, reviews, site search, PDPs, and internal links on your shopping site to improve visibility and drive growth.
How structured data supports local visibility across Google and AI
Schema helps Google and AI systems verify business information and reduce conflicts across local packs, AI Overviews, and search results.
Google uses both schema.org markup and og:image meta tag for thumbnails in Google Search and Discover
Google clarified this within its Google image best practices and Google Discover documentation.
How to increase Google Discover traffic with technical fixes
Discover traffic is shifting toward social posts and AI summaries. Learn which publisher, image, and author signals still drive visibility.
How to build a context-first AI search optimization strategy
AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.
SEO leaders: stop chasing rankings, start building visibility systems
Learn how to build visibility gates, embed shared OKRs, and align product, PR, and content teams for AI-driven search.
Google & Bing don’t recommend separate markdown pages for LLMs
This is a heated debate now, but it seems that the major search engines are not recommending this "strategy."
How to optimize video for AI-powered search
Learn which video signals AI relies on, and how visuals, audio, transcripts, and schema shape search visibility and brand accuracy.
How to optimize content for AI search engines: A step-by-step guide
Learn how AI content optimization helps your website get cited by ChatGPT, Perplexity, and Google AI Overviews.