Blogsby GlyphWhat Is Semantic Search? How It Works and Why It Matters
Semantic search matches the meaning of a query instead of its exact words. Learn how it works, how it compares to keyword search, and why AI relies on it.
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Wed Sep 3016 posts
What Is RAG? Retrieval-Augmented Generation Explained
RAG (retrieval-augmented generation) lets an AI model look up sources before it answers. Learn how RAG works, RAG vs fine-tuning, and why it matters.
What Is Prompt Tracking? How It Works for AI Visibility
Prompt tracking runs the same buyer questions through AI engines on a schedule to measure your visibility. Learn how it works and how often to run it.
What Is MCP? Model Context Protocol Explained
MCP (Model Context Protocol) is an open standard that connects AI assistants to tools and data. Learn how MCP servers work and how MCP compares to an API.
What Is llms.txt? How the File Works and Who Uses It
llms.txt is a proposed markdown file that points AI models to a site's key pages. See the format, an example, llms-full.txt, and what engines say about it.
What Is Grounding in AI? How LLMs Tie Answers to Sources
Grounding in AI ties a model's answer to real sources like search results. Learn how LLM grounding works, how it differs from RAG, and why it matters.
What Are Embeddings? A Plain-English Guide for Marketers
Embeddings turn text into numbers that capture meaning, so AI systems can match questions to relevant passages. Learn how they work and why they matter.
What Is Content Chunking? How AI Engines Pick Passages
Content chunking is how AI engines split pages into passages they can retrieve and cite. Learn how it works and how to write sections that get quoted.
Branded vs Unbranded Prompts: Definition and Why They Matter
Branded vs unbranded prompts: branded ones name your brand and unbranded ones don't. Learn why the split changes every AI visibility metric.
What Is an AI Visibility Score? How to Calculate It
An AI visibility score is the percentage of tracked AI answers that mention your brand. See the formula and how it differs from share of voice.
What Is AI Share of Voice? Definition and How to Measure It
AI share of voice is your brand's share of all brand mentions in AI answers. See the formula, how it differs from visibility score, and how to raise it.
What Is AI Referral Traffic? How to Track It in GA4
AI referral traffic is visits from links in AI answers. Learn how to find it in GA4, why it's undercounted, and how it differs from AI crawler traffic.
What Are AI Citations? How AI Engines Credit Sources
AI citations are the source links AI engines attach to answers. See how they differ from brand mentions, how citation rate works, and how to earn more.
What Are AI Brand Mentions? Definition and How to Track Them
AI brand mentions are the times AI engines name your brand in an answer. Learn how they differ from citations, how to measure them, and how to earn more.
What Is Agentic Commerce? How It Works and Key Protocols
Agentic commerce is shopping where AI agents find and buy products for people. Learn how it works, the main protocols, and how brands prepare.
Which Prompts Should You Actually Track?
How to build an AI prompt tracking set that gives useful data: the four prompt families, where to source prompts, how many to track, and when to cut.
Fri Sep 252 posts
How to Optimize Content for AI Search Engines
Seven evidence-based ways to optimize content for AI search engines, which popular tactics Google says aren't needed, and how to check if you're cited.
How to Rank in Google's AI Overviews (2026 Guide)
Most AI Overview advice contradicts Google's guidance. Here's what Google says works and what doesn't, so you can optimize and rank in AI Overviews.
Wed Sep 231 post
AI Brand Sentiment: How to Change What AI Says About You
Changing what AI engines say about you is possible. See what AI engines criticize most across 6,783 brands, and 5 fixes to improve AI brand sentiment.
Tue Sep 221 post
Gemini vs ChatGPT: 42% Overlap in the Brands They Recommend
I compared 38,966 questions put to both Gemini and ChatGPT. The brands they consistently recommend overlap just 42% of the time. Here is what that means.