LLM SEO Report lets you check what ChatGPT, Google Gemini or Claude think about your brand or a competitor. LLM SEO Report is a simple way to better understand how ChatGPT, Google Gemini and Claude think about various brands based on their llm training data.
Content Gap Report for LLM SEO
findable.
So excited to share LLMSEOReport with you guys today. Let me know if you have any questions. I'm always happy to jump on (free) calls to help make your brands findable. Just ping me. here
How frequently do you update the dataset for each LLM’s training cut-off?
findable.
@james_stark5 every report is freshly generated, we are also looking into adding snapshotting over time
Scrapeless
Hi LLM SEO Report team,
Big congratulations on your product launch — it looks truly impressive and caught our attention! 🚀
I’m Liam from Scrapeless, and we’d love to explore a potential collaboration with you.
We offer a robust Deep SERP API, providing high-quality access to both Google Search and Google Trends data — fast, reliable, and tailored for AI-native products and analytics workflows.
We’d love to offer you free access to our API in exchange for a mention or shoutout on your Twitter or LinkedIn, and we're also happy to cover the promotion costs to help boost your visibility.
If this sounds interesting, I’d love to chat more — feel free to suggest a time or just reply here!
findable.
@liam_tim sounds interesting, happy to chat, ty for your support!
LLM SEO Report hits the sweet spot between classic SEO and LLM-era visibility 📈🤖 Super relevant as answers shift from links to language—great timing for brands optimizing beyond SERPs.
Love this AI-powered SEO insights tool—it fits perfectly into content workflows. As someone building AI micro‑tools for creators, I'd love to hear how you balance depth vs readability in your reports?
This is a fantastic and incredibly timely tool, congrats on the launch! You're tackling a problem that many marketers and brand managers are just beginning to wrap their heads around: AISO (AI Search Optimization). It's a new frontier, and tools like this are essential for visibility.
I have a question on the methodology that I think is key for users to understand. Since the models' knowledge is based on a static training data cutoff (e.g., GPT-4's knowledge ending in early 2023), how do you suggest users interpret the results for newer brands or very recent marketing campaigns?
Are you thinking about future versions that could perhaps incorporate real-time search (like a RAG approach) to provide a more current "reputation check"?
Really thought-provoking product. This is going to be a big space. Great work!
This is a great tool for digital marketing agencies.
I'm already seeing the rise of referral traffic from LLMs and having a report on it will be so helpful.