“The conversation about your brand is happening in places you don’t control…”

AI visibility is whether your brand gets cited inside answers from ChatGPT, Perplexity, Claude, and Google AI Overviews when your buyers ask category questions. Traditional SEO targets the ten blue links on a Google search page. AI visibility targets the synthesized answer that increasingly sits above those links, or replaces them entirely. The signals overlap (good content, real authority, third-party validation), but AI engines weight licensed-data sources like Reddit far more heavily than your own website. The work is closer to PR and community than to keyword optimization.

Generative engine optimization is the practice of getting your brand named, quoted, and recommended inside the answers that AI engines generate for your category. Same goal as SEO ("show up when buyers research"), different surface ("the AI's synthesized response" instead of "the ten blue links"). GEO work focuses on the sources AI engines actually read from: Reddit threads, expert discussion forums, structured FAQ pages with FAQPage schema, and clean canonical content on your own domain. It's less about ranking and more about being on the right shelf when the AI reaches for an answer.

Three things have to be true. First, a useful thread exists on a subreddit your buyers actually read, with your product mentioned the way an honest user would describe it. Second, the discussion looks organic (replies, disagreement, edits over time). Third, your own site has clean structured content (FAQPage and Service schema, plain-language H2s, citable statistics with sources) that AI engines can lift verbatim. If any of those three is missing, citations don't happen reliably. The Reddit visibility audit and discussion ops services are built around the first two; the on-site structured content is part of every framework engagement.

OpenAI signed a content-licensing deal with Reddit in 2024 worth around $70M/year. Google did the same for Gemini at roughly $60M. Anthropic was sued for scraping without paying. Reddit is, in effect, the paid training shelf for the major AI engines. When a buyer asks ChatGPT "best [your category]," the engine reaches for that shelf first because it's the only large public archive of real users describing real products in their own words. If your brand isn't named in those threads, it's invisible in the answer.

Rank tracking watches your position on Google for a list of keywords. LLM citation tracking watches whether your brand appears in the answers ChatGPT, Perplexity, Claude, and Google AI Overviews give to your category queries, plus which sources those answers cite. The metrics are different (cited vs. not cited, citation share vs. competitor share, source quality) and they shift more slowly. Standard cadence is monthly snapshots across all four engines with a documented prompt list. This is what we deliver in the ongoing discussion ops + AI citation tracking engagement.

Industry-standard GEO timeline is 3 to 6 months from sustained Reddit and earned-media presence to first reliable AI citations on your category. Faster categories (newer software, less competition) sometimes show citations by month 2. Slower categories (mature enterprise software, heavily astroturfed verticals) take closer to 6. Anyone promising 30-day AI citation results is either lying or running tactics that get accounts banned. Reputation and discussion ops compound; they don't sprint.

Review monitoring watches G2, Trustpilot, Capterra, Google Business, and the rest of the review surfaces. AI brand monitoring watches what ChatGPT, Perplexity, Claude, and Google AI Overviews say about you when prompted with your category and competitor terms. They're complementary, not redundant. A brand can have great review scores and still be invisible in AI answers because no one is talking about it on the surfaces AI engines train on. We do both, with a single dashboard.