mentionedby.ai
The SEO of the AI Era: Track, Rank, Optimize.
121 followers
The SEO of the AI Era: Track, Rank, Optimize.
121 followers
Monitor how ChatGPT, Gemini, Claude, and other AI tools mention your brand. Track rankings, detect misinformation, and optimize your visibility across 20+ models. It’s SEO for the AI era.
👋 Hey Product Hunt!
I’m Nikin, one of the creators of MentionedBy.ai — an AI brand visibility tracker that shows how your startup or product is mentioned (or not mentioned) in answers generated by ChatGPT, Claude, Gemini, Perplexity, and other LLMs.
This started from a personal pain point — our own brand wasn’t showing up in ChatGPT answers where it clearly should’ve. Bigger or more SEO-optimized players were dominating AI-generated results, even when they weren’t the most relevant. That’s when it clicked: AI is the new search engine — and we have no idea how we rank in it.
So we built MentionedBy.ai to give teams visibility into:
✅ How often your brand appears in AI answers
✅ Whether you’re being mentioned positively, negatively, or not at all
✅ What categories you dominate vs. lose out to competitors
✅ How your presence evolves week to week
🧠 It’s like SEO — but for the AI age. We call it Answer Engine Optimization (AEO).
We’d love your feedback — especially on what visibility metrics or insights would be most useful to you.
Check it out here: https://mentionedby.ai
Thanks for the support!
— Nikin
@nikin_matharaarachchi Great
@nikin_matharaarachchi This is such a fascinating concept!
For someone who isn't super familiar with how LLMs work, what usually affects whether a brand gets mentioned or not? Is it just about being a well-known brand, or are there other factors?
@ambika_vaish Thanks.
Being well known does help, but having your site setup correctly helps a lot more. Its similar to SEO where you optimize for keywords; you can optimize for questions by using clear FAQs, proper schema and adding LLM.txt files. all of which you can optimize using MentionedBy AI
This feels like a game-changer for anyone thinking beyond Google. How does it identify whether an AI is misrepresenting or hallucinating about a brand? Does it flag unusual phrasing or like compare to verified data?
Congrats on the launch!👏 @nikin_matharaarachchi What kinds of insights can users expect once they start monitoring their brand? Are there trendlines, alerts, or benchmarks to track performance over-time?
@bridie yes there are trendlines across models and question types and competitor reports. And it's not just numeric scores but also insights into the what's being mentioned.
Really cool concept. Just wondering how would you compare MentionedBy.ai to traditional media monitoring tools or SEO dashboards? Is this more focused on LLM visibility specifically?
@alexander67 thanks for the question, yes it's based solely on llm visibility rather than traditional search engines. We allow to get results from both reasoning models with search functionality and with models that use solely pretrained knowledge so that we can ensure that all the bases are covered.
Could you elaborate on what is represented by these three charts? Ex. for the second chart — what do the X and Y axes represent?
Is it showing how much users have mentioned these brand names in different LLMs? If so, how was the data used to generate these charts collected? If it's based on users mentioning brand names, how did you gather that information which is fed into the different LLMs?
@nareash_vijayaragavan
Great questions — here’s a detailed breakdown of what each of the three charts represents, along with how the data was collected:
1. Brand Rankings :This is a leaderboard-style ranking that orders the brands based on their overall prominence or performance across multiple metrics.
2. Brand Mentions by LLM:
This stacked bar chart provides a detailed cross-model breakdown of brand mentions.
X-axis: The brands being tracked — Netflix, Disney+, Hulu, and Prime Video.
Y-axis: The total number of mentions across different LLMs (e.g., GPT-4o Mini, Claude 3.5, DeepSeek Chat V3, etc.).
Bar Segments (Color-coded): Each segment represents how many times a brand was mentioned by a specific model.
3. Market Share: This chart represents relative mention share across all LLMs combined.
These charts show the brand mentions made by LLMs in response to questions. They don’t rely on human users typing brand names into models. Instead, the platform:
1-Queries LLMs with structured prompts,
2-Logs which brands are mentioned (how often, where, and by which model),
3-Visualizes that as a proxy for brand visibility in AI-generated answers.
This data is valuable for marketing and strategy teams who want to understand how their brand is portrayed by AI systems that are increasingly shaping consumer decisions.
Thrilled you’re excited about the GEO magic! 🎯. No more juggling five tools! 🔥 Curious—if you could automate one tedious SEO/GEO task tomorrow.
Great Initiative, hope this will help to improve brand visibility and understand the status in the market. 👏
Wish you all the best
@yohani_ranasinghe Thanks