Research

How the engines actually work - and what that means for your visibility.

Research

AI Visibility Index, October 2026: 617 answers, 10 industries, 5 countries

What ChatGPT, Gemini and Perplexity recommended - and cited - across law firms, clinics, ecommerce, hotels and six more industries in the US, UK, Canada, Spain and Turkey. 79% of cited domains appeared exactly once, ChatGPT and Gemini named the same #1 brand in 8.5% of questions, and Wikipedia made up 9.5% of ChatGPT's citations but none of Perplexity's.

Research

ASO in the AI era: what App Store Optimization means when ChatGPT picks the apps

App Store Optimization was built for one reader: the store ranking algorithm. Now your listing has a second reader - the AI assistants people ask for app recommendations - and it grades on different criteria. What ASO is, what GEO changes about it, where the two disciplines pull in opposite directions, and the listing playbook that satisfies both readers at once.

Research

What is turn0product7? ChatGPT's leaked citation tokens, explained

People keep googling strings like turn0product7 and turn0search0 - and finding storefront junk instead of an answer. Here's the real one: they're ChatGPT's internal citation tokens, the invisible markers that place product cards and source badges inside an answer. Where they come from (we've captured them in the raw response stream), why they leak into copied text, and what their existence tells brands about how AI shopping answers are assembled.

Research

Why YouTube gets cited by AI (and how to use that)

Video keeps showing up as a source in AI answers. Why engines cite YouTube so often, what they actually read from it, and how to make your video content quotable to a model that can't watch it.

Research

AI visibility metrics: the KPIs actually worth tracking in 2026

Raw mentions is a vanity metric. The numbers that tell you whether AI engines recommend your brand - visibility rate, share of voice, answer position, citation share, sentiment and engine coverage - and how to read each one.

Research

20 AI search statistics that explain 2026 (with sources)

The numbers behind the shift from Google to AI answers - engine reach, click-through, how buyers research, and how ChatGPT picks and cites the brands it names, including the August 2026 changes. Every figure links to its source, and vendor research is labeled.

Research

Can you pay ChatGPT to recommend your brand?

Short answer: not the recommendation. ChatGPT now tests labeled ads and Google sells ads in AI Mode, but neither buys you a place in the answer. What's actually for sale in October 2026 - and what the brands that get recommended did instead.

Research

How often do ChatGPT's answers change?

The answer that names you today can drop you next week. The three things that make AI answers drift - and a sane monitoring cadence that catches it without obsessing.

Research

llms.txt: what it is, who actually reads it, and whether to ship one

Where llms.txt stands in October 2026: Google says its search ignores the file, and Ahrefs found 97% of ~38,000 llms.txt files got no requests in a month. What the file does, what it can't do, and the 20-minute version if you ship one anyway.

Research

GEO, AEO, LLMO, AI SEO - what these terms actually mean

The acronym soup, sorted: what GEO (generative engine optimization), AEO (answer engine optimization) and their synonyms each cover, where they overlap, and why the distinctions matter less than the two real disciplines underneath them.

Research

Why Reddit keeps showing up in AI answers about your category

Community threads punch far above their weight in both training data and retrieval. Why that happened, what the August 2026 ChatGPT citation data does (and doesn't) show, and how to participate without astroturfing.

Research

Why doesn't ChatGPT know my brand?

You're on page one of Google, customers love you - and ChatGPT draws a blank. The three reasons this happens, and which one is yours.

About Research

Research posts explain how the engines work and what the data shows: where answers come from, which sources get cited, how often answers change and why engines disagree about the same question.

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