How to track ChatGPT and AI traffic in Google Analytics 4
GA4's new AI Assistant channel misses some assistants and app clicks land in Direct. The custom channel group, the regex, and what GA4 still can't see.
Step-by-step plays for getting AI engines to mention and recommend your brand.
GA4's new AI Assistant channel misses some assistants and app clicks land in Direct. The custom channel group, the regex, and what GA4 still can't see.
Keyword tools can't show what buyers ask ChatGPT. Mine sales calls, tickets, Search Console and Reddit, sort by intent, and pick the prompts worth tracking.
How SaaS products get named when buyers ask ChatGPT, Claude or Perplexity for the best software: category clarity, comparison pages, G2, crawlable pricing.
"Best meditation apps", "app to plan a trip" - questions that used to be store searches are now asked in ChatGPT, and the answer is a shortlist of three to five names. Here's how assistants actually pick those names - listing signals, reputation bars, citable sources - and the six-step playbook for getting your app into the shortlist, with a free checker that grades where you stand today.
Your app is live, rated well by the people who found it - and invisible when someone asks an AI assistant for the best app in your category. The cause is almost always mechanical: a handful of listing, reputation and web-presence signals that assistants read and your listing fails. Here are all 20, grouped into the five categories that decide AI recommendability, and the order to fix them in.
An AI assistant is telling your buyers something false about your company - a wrong owner, a dead product, a price from 2023 - and there's no edit button. Here's the playbook that actually works: trace the sources the engines read, fix them in the right order, file with each engine's official channel, and verify the correction sticks. Plus the honest part nobody says: how long each layer takes.
AEO - answer engine optimization - is one of the fastest-rising terms in search marketing, and most explanations make it sound more novel than it is. Here's the plain version: what AEO actually means, where the term came from, how it relates to SEO and GEO, and the handful of practices that genuinely improve your odds of being the answer instead of a result.
Thousands of owners search for the ChatGPT equivalent of a Google Business Profile. It doesn't exist - there's no submission form, no listing to claim, no fee to pay. But ChatGPT does decide which businesses to recommend, and you can influence that. Here's where its answers actually come from, the five things that function as your 'listing,' and how to check whether it worked.
LLM SEO (or LLMO, or GEO - the names haven't settled) is the work of getting your brand found, trusted and cited by large language models instead of just ranked by Google. This is the plain-English version for people who already know SEO: how LLMs actually choose what to say, which of your existing skills transfer directly, the handful of genuinely new moves, and the tactics you can safely ignore.
Getting named by ChatGPT is only half the battle - 'a budget option with limited features' is a mention that loses the deal. Tone is now a first-class metric: whether the engines frame you as the leader, the alternative, or the one to be careful with. Here's where AI sentiment actually comes from, how to measure it without fooling yourself, and the work that turns a lukewarm description into an endorsement.
AI Mode is Google's conversational search - a full AI answer instead of a results page, now sitting one tab away from every Google search. This is how it actually assembles an answer (and why it's not the same placement as an AI Overview), what that means for whether your brand gets named, and an honest look at the tools that can track your visibility in it today.
SEO gets you ranked; AI search optimization - some call it AI search SEO - gets you recommended. When someone asks ChatGPT, Gemini or Perplexity for the best option in your category, either you're in the shortlist or a competitor is. This is the practical playbook: how AI search actually assembles an answer, the handful of moves that measurably improve your odds of being named, and how to tell whether any of it is working.
The AI Overview is the paragraph Google now writes above the blue links - and for a growing share of searches it's the only thing people read. Ranking #1 no longer guarantees you're in it. Here's what an AI Overview actually is, how it picks the sources it summarizes, why being on page one isn't enough, and the concrete work that gets your brand named in the answer instead of buried under it.
AI shopping is here - ChatGPT recommends products, compares them and even checks out. How ecommerce brands get surfaced: product data, reviews, structured feeds, and why it's relevance, not ad spend.
When someone asks ChatGPT or Google's AI for 'the best [X] near me', who gets named? How local businesses win AI recommendations - reviews, business profiles, consistent NAP, and the sites AI trusts for local.
AI visibility is the new line item clients are asking about. How agencies productise GEO - scoping it, reporting it, pricing it, and managing many brands across engines without drowning in manual checks.
Wikipedia is one of the most-cited sources in AI answers - and a backbone of what models 'know'. How to earn a legitimate Wikipedia presence (and why trying to game it backfires).
AI engines lean on review and comparison sites to decide which brands to name - yet most companies treat reviews as a support metric. How to turn G2, Capterra and reviews into AI recommendations.
ChatGPT now recommends products, compares them and checks out in-chat - ranked on relevance, not ad spend. A practical playbook for getting your products onto that shelf while it's still early.
A practical setup for monitoring whether ChatGPT, Gemini, Perplexity, Claude and Grok recommend you - which questions to track, which engines to cover, what cadence, and when eyeballing it stops working.
Weeks for some answers, months for others - here's why. Which AI answers you can move this month, which take a quarter, and how to tell which kind you're facing.
GEO - generative engine optimization, aka AI GEO - is the practice of getting your brand named and cited inside AI answers. What it is, how it differs from SEO, and a step-by-step framework to get ChatGPT, Claude, Gemini and Perplexity recommending your brand.
No tricks, no "prompt hacks" - the five things that actually move a brand into ChatGPT's answers, in plain language, in the order we'd do them.
A do-it-yourself audit: which questions to ask, how to ask them cleanly, what counts as "visible", and the mistakes that make self-testing misleading.
Why "X vs Y" content is the single highest-leverage asset for AI visibility - and how to structure one that models actually cite instead of skim past.
AI engines quote pricing pages constantly, but only when they can parse them. The patterns that make yours quotable, and the ones that make models guess.
Somebody is winning the answers in your category right now. A fifteen-minute exercise to find out who - and what to do if it isn't you.
Structured data is back - for a new reason. It's how models find, parse and trust your facts. The five types worth shipping first, with markup examples.
Playbooks are guides you can run yourself: checking whether AI assistants know your brand, correcting what they get wrong, earning the citations engines lean on, and measuring whether the work moved anything.
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