Blog
Compiled notes from the Swep team
Your AI Visibility Strategy Should Learn From Every Action
Connect shipped work to citations, traffic, conversions, and revenue—then use the evidence to choose the next move without confusing attribution with proof.
What Should Your AI Agent Do Without Asking?
Give the agent room to prepare useful work while keeping public commitments under control. A practical policy for scope, approvals, evidence, and recovery.
One Goal. Five Tools. An AI Agent Doing the Work.
Follow one illustrative brand goal through Search Console, WordPress, Reddit, Gmail, and Shopify—with shared evidence and a clear result from each tool.
What Is an AI Visibility Agent?
An AI visibility agent connects research, decisions, tools, and follow-up around a brand goal. Learn how it differs from a dashboard or an AI writing tool.
You Found Your AI Visibility Gaps. Now What?
A visibility report is the starting point. Here is how an agent carries a finding into specific, reviewable work—and follows it through to a verified result.
From AI Visibility Data to an Action Plan
AI visibility data becomes useful when it changes priorities. Learn how to diagnose prompt and citation gaps, choose credible fixes, assign owners, and measure the next result.
The AI Visibility Audit: A 12-Point Checklist
Use this 12-point AI visibility audit to test buyer prompts, brand mentions, recommendations, citations, competitor evidence, technical access, and the actions your team should ship.
Why AI Systems Trust Some Sources More Than Others
AI answer systems do not apply one public trust score. Learn the practical source qualities that improve retrieval and citation: relevance, clarity, evidence, access, consistency, and freshness.
How to Build a Buyer-Intent Prompt Library for AI Search
A useful AI search prompt library mirrors real buyer decisions. Learn how to collect, classify, prioritize, test, and maintain prompts without creating a vanity dashboard.
Mentions, Citations, and Recommendations: The Metrics That Matter
Mentions, citations, and recommendations measure different parts of AI visibility. Here is how to read them together, avoid false confidence, and decide what to improve next.
Google Search Console Adds Generative AI Performance Reporting
Google’s new Search Console reports show impressions and page-level visibility in AI Overviews and AI Mode. Here is what the data includes—and what it still cannot tell you.
How to Measure AI Visibility Across ChatGPT, Gemini, Claude, and Perplexity
Measure AI visibility with a stable prompt set, platform-specific context, separate mention and citation metrics, and a review rhythm that turns answer changes into action.
GEO vs SEO vs AEO: What Actually Changes?
SEO, AEO, and GEO overlap more than the acronyms suggest. Here is what stays the same, what changes in AI answers, and how to build one practical workflow.
What Google’s New Generative AI Guidance Means for GEO
Google’s May 15 guidance cuts through several GEO myths. SEO foundations still matter, special AI markup is unnecessary, and useful original content remains the real work.
What Is AI Visibility? A Practical Guide for Brands
AI visibility shows whether, where, and how your brand appears in AI-generated answers. This guide explains what to measure, what the numbers mean, and how to improve them.
Swep.ai is now live
Swep.ai is live, giving teams a way to understand how their brands appear in AI-generated answers and recommendations.
Why ChatGPT Recommends Your Competitors (And How to Fix It)
Your customers are asking AI who to choose. If ChatGPT, Gemini, Claude, or Google AI Overviews recommend competitors instead of you, the problem is usually weak AI visibility signals, not bad luck.
GEO in 2026: Why Brands That Aren’t Optimized for AI Will Disappear
A more practical look at GEO in 2026: why AI answers change visibility, what brands should worry about, and how to become easier for AI systems to understand, trust, and cite.