How to audit your AI entity footprint
See how clearly AI understands your business, where the evidence falls short, and what to strengthen as AI search evaluates your brand.
Topic: Knowledge graph
Google says don’t include fake or undisclosed incentivized reviews in review snippet structured data
Google updated the review snippet structured data markup documentation with some new guidelines and examples.
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.
How category framing changes which brands AI recommends
The language your customers use to search can shape your brand's AI visibility. Learn what new research reveals about category coding.
Google is AI Mode’s No. 2 most-cited domain: Report
Google-owned business and product cards are taking a bigger role in AI Mode, especially for local and shopping searches.
6 SEO priorities for AI shopping
AI can't recommend what it can't understand. Here's how to make your products easier for AI systems to evaluate.
How to close the identity gap between your brand, search, AI, and buyers
Your strongest traffic signals may be reinforcing the wrong brand identity. Learn how to uncover the gaps limiting search and AI visibility.
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.
Topical authority, declared: How Search Engine Land bucked the editorial traffic decline
Can entity SEO transform publisher performance? See how Search Engine Land increased organic visibility and AI Overview citations using topical authority and Knowledge Graph optimization.
Your AI salesforce is already selling your brand. The question is who trained it.
Recommendations depend on confidence, not just content. Here's how search, knowledge graphs, and third-party proof influence AI decisions.
Tailor Your Feed: The Google Discover fan-out that surfaces niche sites
Here's why it opens a third visibility path for small sites, beyond implicit affinity and the Follow button.
What co-mentions reveal about the AI recommendation gap
Being understood by AI isn't the same as being recommended by it. New research reveals the gap between the two.
Google introduces Search profiles within Google Discover
These are enhanced publisher landing pages, where you can follow the publisher, see the publishers latest articles, videos and social posts all in one place.
Google’s expanded candidate set and the selection crisis
As AI systems evaluate broader content pools, selection depends on verification, semantic relationships, and information gain.
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!
Beyond RAG: Why every AI search platform is now agentic and what that means for your content
AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or filtered out.
Brand depth determines what AI systems recommend
Citations only show the outcome. The real advantage comes from building a brand AI systems consistently retrieve, recognize, and recommend.
What makes a brand machine-readable in AI search
A review of 19 businesses found the same problem repeatedly: strong expertise buried in content AI systems can’t reliably interpret.
How Google Discover publisher profiles work and why they matter
A deeper look at the profile features, eligibility patterns, and optimization opportunities shaping visibility in Discover.
Why TurboQuant could accelerate the shift to entity-driven SEO
TurboQuant may help Google improve instant indexing, semantic search, and AI Overviews — changing how brands earn visibility.
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.
Google quietly gave 54 publishers control over their Discover profiles. Here’s what they did with it.
The first systematic analysis of Google's invitation-only enhanced publisher profiles on Discover, based on monitoring 46,926 publishers.
SEO’s new goal in 2026: Recognition, not rankings
Visibility today depends on authority, citations, entity clarity, and brand presence across the broader web — not just SERP position.
Advanced technical SEO tips: 14 technical SEO issues you’re missing
Think you've got your technical SEO buttoned up? Think again! Find out what you may have overlooked with our guide that's full of advanced SEO tips.
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.
How AI models ‘understand’ your brand
Is AI misrepresenting your brand? Fix how you’re encoded, cited, and surfaced across training, retrieval, and generation.
From links to brand signals: The new SEO authority model
Links aren’t enough anymore. Learn why consistent brand presence across trusted sources is becoming the key driver of search authority.
The funnel flip: Why AI forces a bottom-up acquisition strategy
AI changed how the funnel works. Acquisition now starts at the bottom — build understanding, credibility, and reach in the right order.
How AI decides what your content means and why it gets you wrong
AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.
The push layer returns: Why ‘publish and wait’ is half a strategy
See how AI systems process content through five entry modes — and why relying on crawling alone limits visibility, speed, and revenue
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.
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.
SEO’s new battleground: Winning the consensus layer
AI search rewards brands that show up consistently across trusted sources. Here’s how to build visibility when rankings no longer cut it.
What patents reveal about the foundations of AI search
AI search is built on years-old patents. Here’s how those blueprints shape AEO, GEO, and modern SEO strategy.
5 competitive gates hidden inside ‘rank and display’
The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s how it works.
AI visibility tools: How to track and grow your presence in AI search
See if ChatGPT, Gemini, and Perplexity cite your site, discover competitors appearing in AI answers, and identify the sources LLMs trust.
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.
Why surface-level SEO tactics won’t build lasting AI search visibility
Advice around AI search is getting simplistic. The real edge comes from knowledge graphs, expert entities, and influence in trusted datasets.
The AI engine pipeline: 10 gates that decide whether you win the recommendation
AI recommendations are decided upstream. Understand the 10-gate pipeline, where brands fail, and how small improvements compound.