RankLens
We built RankLens because we couldn’t answer a simple question for our own clients: “How often do AI assistants actually recommend your brand vs. competitors?” Instead of ad-hoc “SEO prompts”, RankLens uses structured entity-conditioned probes. Each probe is defined by a brand/site entity + intent, and we resample across many runs to reduce prompt noise and random LLM variance. For each probe we track: – Explicit mention of your brand/site (Brand Match) – Precision of when you’re recommended as the answer (Brand Target) – How often competitors get recommended instead (Brand…
RankLens launched on November 3, 2024 with 3 votes. The site was still online in September 2026, 1 year on.
What it does
RankLens, a whole new way to measure your AI marketing efforts. Easily discover and track your brand and website visibility in LLMs (Large Language Models).
RankLens is a reliable and accurate way to measure your AI brand visibility. Easily discover and track your brand and website mentions in LLMs (Large Language Models).
In the maker’s words, at launch
We built RankLens because we couldn’t answer a simple question for our own clients: “How often do AI assistants actually recommend your brand vs. competitors?” Instead of ad-hoc “SEO prompts”, RankLens uses structured entity-conditioned probes. Each probe is defined by a brand/site entity + intent, and we…
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MentionedBy AI2025 · mentionedby.ai · ▲39A few weeks ago I shared an early version of MentionedBy.ai — a tool we built to monitor how your brand is mentioned inside AI-generated answers from ChatGPT, Claude, Gemini, Perplexity, and other LLMs. We’re now officially live This started from our own frustration. Our startup wasn’t being mentioned in ChatGPT responses, even for queries where we were clearly relevant. Meanwhile, legacy or SEO-heavy brands kept showing up. We realized: AI is becoming the new search engine — and no one knows how they rank in it. So we built MentionedBy to answer questions like: How often does your brand…
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