18260b6f-abeb-4e9a-999d-7e2cc0d1a7da

Uploaded Oct 29, 2026 · 5m 13s

Summary

Viewers will learn about AnswerManiac, an AI visibility agency that helps businesses improve their chances of being recommended by AI platforms like ChatGPT and Google. The video outlines the agency's two-step process, which includes a free AI recommendation check and a 90-day sprint to implement necessary changes, ultimately demonstrating how to enhance visibility and credibility in AI-driven searches. Through real client success stories, it emphasizes the importance of entity clarity, content authority, and third-party validation in gaining AI citations.

Transcript

When your customers need a provider, they don't scroll through 10 blue links anymore. They ask AI, and AI gives them a short list. Ninety-four percent of B2B buyers used AI during their most recent purchase. So here's the real question. When buyers ask who to choose, does AI recommend you? Meet AnswerManiac, the AI visibility agency. AnswerManiac helps businesses get found, understood, and recommended across ChatGPT, Google, Perplexity, and other AI-assisted. And it starts with proof. In a dated, repeated self-audit, Perplexity recommended AnswerManiac at the number one position for best LLM citation agency. Brands like Eight Layers, Clip, Ludus, and Lantaria already trust the team. So why does this need a special? Because AI models don't rank paid. They synthesize answers from many sources and decide which brands to name. Google cares about backlinks, page speed, and keyword. AI models care about entity clarity, content authority, structured data, and third-party validation. In AnswerManiac's own study of 100 B2B SaaS companies, 44% received zero AI citation. It works in two simple steps. First, a free AI recommendation check. Three real buyer questions, tested on ChatGPT and Perplexity, with dated evidence behind every result. No opaque score. The check keeps three outcomes separate. Recommended, merely mentioned, or cited as a source. And it compares you against a real competitor under identical conditions. In the example on the site, Acme was recommended in three of 24 sampled answers. Its competitor appeared in 11. Then, a fixed-scope 90-day sprint, where the team actually ships the changes, not another report. Every engagement runs on four moves. Diagnose the buyer questions that matter. Build the content and technical fixes. Earn credible third-party signals. And prove it by retesting the exact same question. Behind it all is the answer method. Audit, navigate, structure, write, earn, refine. Each stage has a clear job. Audit runs 20 to 30 real buyer queries across every platform, and benchmarks you against competitor. Navigate maps competitors, journeys, and source pattern. Structure fixes the website journey, entity consistency, and schema. Write produces decision-enabling content worth citing. Earn builds credible third-party validation. And refine tracks the same questions and adjusts the roadmap from evidence. And the results are real. Eight layers became the number one AI-recommended platform for best ISPM software on a four-month-old domain, while doubling organic click. Ludus Global earned first-place ChatGPT recommendations on non-branded searching. Clip earned AI citations across four engines, ChatGPT, Claude, Perplexity, and Google AI Overviews, while organic sessions grew 115% month over month. Lantaria HR became the number one AI-recommended HR software for Microsoft 365 on both ChatGPT and Perplexity. And clients say it best. In just a few months, Ludus went from practically invisible in AI to hundreds of citations across ChatGPT, Perplexity, and Gemma. The strategy is backed by original research. Across 155 B2B buyer queries, review sites appeared in 28% of Perplexity answers. And G2 was cited more than every other review platform. Why do AI engines lean on review sites? Three reasons. They're structured and comparative. They carry third-party credibility. And they're kept current. So the playbook is clear. Be present on the platforms your category uses. Get your category and description exactly right. Keep reviews current and specific. And don't stop at review sites. Pricing is simple. The founding Sprint is $2,500 one time. No setup fees, and nothing renews automatically. The standard Sprint is $4,500, with more questions, three platforms, and three improvements. After a completed Sprint, managed implementation starts from $3,000 a month, offered only when the evidence supports it. And the guarantee is on it. They guarantee the agreed implementation and transparent measurement. Never fake promises of citation. And you keep everything they build. Stop guessing whether AI sees you. Run your free AI recommendation check today at AnswerManiac.ai. Answer Maniac. Be the business AI recommend.

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