Reddit is the most-cited source in AI search
Prefer measured which sources ChatGPT and Google's AI cite for software buyers. Reddit was #1 on ChatGPT (30% of citations) and #2 on Google.
Case studies
How AI search decides who to name. Research, playbooks and teardowns.
How assistants choose which brands to cite, which sources they trust, and what actually moves an answer. Written by the team building the platform that measures it.
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What is Prefer? The AI visibility platform, explained
Prefer measures how ChatGPT, Gemini, Perplexity and Google AI describe you, then writes the content that wins the citation. Prefer Managed adds off-page work.
Explainers
Brand Visibility in AI Search: The AI Visibility Funnel
Brand visibility in AI search breaks at five stages: reachable, retrieved, cited, named, kept. Prefer's data on where brands drop out, and the fix per stage.
Explainers
The AEO Loop: A Weekly AEO Strategy That Wins AI Citations
The AEO loop is Prefer's weekly AEO framework: measure tracked prompts, classify cited sources, read winning pages, score honestly, act. The full recipe.
Explainers
AI Overviews: what they are and how they pick sources
What Google's AI Overviews are, how they choose and cite sources, what they do to your traffic, and how to show up. Prefer tracks whether they cite you.
Explainers
AI search optimization: the complete practice guide
AI search optimization is getting your brand cited by ChatGPT, Perplexity, Gemini, Claude and Google AI. The map, and how Prefer tracks it and writes content.
Guides
AI SEO: what it means now and what actually changes
AI SEO now means two things: using AI to do SEO, and getting your brand cited inside AI answers. What changes, what stays, and how to start with Prefer.
Explainers
How ChatGPT fans out one question into five searches
Prefer logged the web searches ChatGPT ran for 47 buyer questions: 224 in all, 54% of them site-scoped checks of a brand's own pages. Write for the fan-out.
Case studies
Who gets cited in AI search: the best-documented wins
Prefer asked ChatGPT, Perplexity, Gemini and Claude 47 buyer questions in 8 industries and logged 1,237 citations. 40% went to listicles, not vendors' sites.
Case studies
AEO vs GEO: what's the difference, and does it matter?
AEO and GEO name almost the same practice. The real difference in emphasis, where they overlap, and why one tool, such as Prefer, should cover both.
Explainers
AEO vs SEO: how answer optimization actually differs
AEO vs SEO: one question vs one keyword, extractability vs crawlability, a citation vs a click, how the daily work differs, and how Prefer measures AEO.
Explainers
GEO vs SEO: what changes when answers replace links
GEO vs SEO for marketers: how the visibility model, metrics, timescales, skills and budget change once AI answers replace links, and how Prefer tracks both.
Explainers
LLM SEO: how to rank in ChatGPT, Claude and Perplexity
LLM SEO is how you get large language models to cite and recommend your brand. What it is, how it differs from SEO, the playbook, and how Prefer tracks it.
Guides
ChatGPT vs Perplexity vs Claude: a citation test
Prefer asked ChatGPT, Perplexity, Gemini and Claude the same buyer questions with web search on. They cited almost entirely different sources.
Explainers
Original research
Who gets cited in AI search. The data behind the answers.
We asked ChatGPT, Perplexity, Gemini and Claude the same 47 buyer questions across 8 industries, with web search on, and logged all 1,237 citations by channel, engine and prompt. It is the dataset our own playbooks are built on, free to read and free to cite.
Read the full studyPublished 11 July 2026
- 4
- engines tested
- 47
- buyer questions
- 8
- industries
- 1,237
- citations logged
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