How AI systems see, cite, and describe brands — measurement frameworks, citation strategy, and operating playbooks from the Parse team.
Default GA4 dumps most ChatGPT, Perplexity, and Claude visits into Direct. A custom channel group, set up in 15 minutes, recovers the visible portion and exposes the dark half.
A CEO-ready AI visibility report needs one trend, one risk, and one decision. Here is the dashboard, cadence, and narrative to use.
YouTube is now the single most-cited domain in Google AI Overviews. Here is what the data shows about which videos get pulled, and how to optimize for the transcript and timestamp signals AI actually reads.
AI assistants now recommend brands in chats your analytics never see. Here is what the dark SEO funnel actually is, what it breaks in GA4, and how to measure it without faking the numbers.
A practical rewrite checklist for making existing pages easier for ChatGPT, Google AI Overviews, and Perplexity to retrieve, score, and cite.
When AI merges your brand with a similarly named competitor, your visibility metrics measure the wrong company. Here is the disambiguation playbook.
A diagnostic framework for separating normal AI variance from real brand visibility loss, then finding the source of the drop.
Your AI visibility benchmark is only as good as the competitor set behind it. Use this framework to pick rivals, substitutes, and cited-source competitors.
A single AI visibility score hides the platform differences that tell your team what to fix. Here is the reporting model that keeps ChatGPT, Google AI Overviews, and Perplexity separate.
Most AI visibility tools promise a dashboard. The useful ones give you prompt discipline, competitor context, and source-level diagnostics you can act on.
ChatGPT, Google AI Overviews, AI Mode, Perplexity, and Claude disagree on brand recommendations 62% of the time. What the data shows and how to plan.
AI Overviews now appear on 48% of Google queries. Here is what 12 studies say about CTR, citations, and which brands are gaining ground.
ChatGPT runs two brains: a training-data prior that nominates brands and a Bing-fed retrieval layer that fact-checks them. Here is how the pipeline actually works.
AI models have no concept of resolved. A 2023 complaint can still steer ChatGPT and Perplexity in 2026. The diagnostic and displacement playbook for brands stuck with stale negative threads.
Share of Model is the AI-era successor to Share of Voice. Here is what it actually measures, how to calculate it without fooling yourself, and how to put it on a board slide.
Community platforms now drive over half of AI citations. The framework that connects private discussion to public threads to AI recommendations, and how to operate inside it.
Reddit drives 21% of Google AI Overview citations and up to 47% on Perplexity. These 10 agencies actually optimize for AI citation impact, not just traffic.
How to integrate AI visibility into an existing SEO program: what stays with the SEO team, what moves to PR or content, and a RACI for the work.
A prioritized AI visibility audit your team can finish in a week. Six checks across baseline, crawlability, entity, content, sources, and competitive gaps.
How to package, price, deliver, and report AI visibility as a recurring agency service. Tier structure, margin math, RACI, and the traps to avoid.
