Guides to measuring — and winning — AI search

AI visibility is how often AI engines like ChatGPT and Perplexity mention, recommend, or cite your brand. Here's how it works, why it matters, and how to measure it. · 6 min read

A practical guide to AI visibility optimization — the technical fixes, content moves, and third-party signals that change how often AI engines recommend your brand. · 7 min read

The best ways to monitor brand mentions in AI search — manual spot checks, referral analytics, and systematic tracking — plus the mistakes that make the data lie to you. · 6 min read

A practical method for tracking brand visibility in ChatGPT: the prompts to ask, why single checks mislead, and how to turn answers into a trendline you can act on. · 6 min read

Mention rate, recommendation rate, citation share, consistency — the AI visibility metrics worth reporting, how they're calculated, and the vanity numbers to skip. · 6 min read

Comparing AI search visibility tools? Use this framework: methodology questions, coverage checks, and price-tier logic that sorts the market in under an hour. · 6 min read

AEO is the discipline of earning placement inside AI-generated answers. How it differs from SEO, the work it involves, and how to measure whether it's working. · 6 min read

GEO — generative engine optimization — is how brands earn presence in AI-generated answers. The research behind it, the tactics that hold up, and a 30-day starting plan. · 6 min read

B2B SaaS categories are where AI-assisted buying hit first and hardest. What the shift means for SaaS marketers and how to respond before the shortlists calcify. · 6 min read

LLM rank tracking measures where your brand appears in AI-generated answers. Here's how it differs from SEO rank tracking, what to measure, and how to read the data. · 6 min read

A buyer's guide to LLM rank trackers — the five capabilities that separate real measurement from dashboard theater, with honest notes on the main tools. · 6 min read

LLM SEO is optimizing your brand's presence in large language model outputs. What the term covers, how tracking works, and where to focus first. · 5 min read

How to track your brand's LLM rankings for free — a spreadsheet method that produces real data, plus an honest account of where DIY tracking hits its ceiling. · 5 min read

AI engines describe your brand to buyers every day. Here's how to audit what ChatGPT, Perplexity, and Gemini say about you, and how to track it over time. · 5 min read

AI brand monitoring tracks how ChatGPT, Perplexity, Gemini, and Grok represent your brand. What to monitor, how often, and how to build the habit that catches problems early. · 6 min read

Under the hood of AI search monitoring platforms: prompt sets, repeat runs, mention extraction, scoring, and trending — explained without the marketing gloss. · 6 min read

LLMs don't just mention brands — they frame them. How to monitor brand sentiment in ChatGPT, Perplexity, Gemini, and Grok, and what to do when the framing goes wrong. · 5 min read

AI summaries compress your brand into a sentence or two. Here's how to track what survives the compression — and how to influence which facts make the cut. · 5 min read

Historical trend analysis of AI brand mentions turns noisy answers into evidence. How to build a trendline that survives scrutiny — and what it unlocks. · 5 min read

How to automate monitoring of brand mentions in AI responses — the pipeline you'd build, what it costs to run, and when buying beats building. · 6 min read