TL;DR: Winning AI Visibility in 2026
Optimizing for ChatGPT and other LLMs in 2026 is no longer about complex protocols like LLMs.txt. Instead, brands succeed when engaging directly within active, user-generated communities like Reddit and Quora.
• Focus on Informal Credibility Optimization (ICO) by joining discussions, answering questions authentically, and creating content that resonates with human insights.
• Gain citations by prioritizing dynamic data over static inputs, which helps AI models trust your brand's relevance.
• Avoid pitfalls like fake engagements or overusing keywords, and keep content fresh to align with how AI systems value newer, context-rich data.
Ready to build brand visibility? Learn about effective strategies to drive AI citations in this guide.
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As we move deeper into 2026, the rules of optimizing for Large Language Models (LLMs) like ChatGPT have evolved significantly. The once-hyped reliance on technical protocols like LLMs.txt has proven, in practice, to do little to improve visibility. Instead, the new competitive edge lies where most businesses have historically underestimated: active participation in vibrant communities like Reddit and Quora. As someone who runs multiple ventures at the intersection of education, AI, and IP-tech, I’ve been watching this shift closely. The takeaway? If your brand isn’t part of those conversations, you’re already falling behind.
Why does this matter so much? Because unlike static algorithms like Google’s earlier ranking systems, ChatGPT and its peers learn dynamically, absorbing information from popular forums, blogs, and user-generated discussions. For business owners, entrepreneurs, and startup founders, this means SEO is only part of your strategy, it’s now also about Informal Credibility Optimization (ICO). Let’s break this down and uncover how to position your brand as an authoritative voice in this landscape.
Why doesn’t LLMs.txt matter?
The concept of LLMs.txt seemed revolutionary when it was introduced as a way for brands to signal to AI models which data sets to prioritize or ignore. The idea gained traction because it mirrored robots.txt, a protocol used for crawling website data. But in my experience, testing this across multiple projects and consulting with peers who manage millions in monthly web traffic, it simply didn’t shift the needle. Here’s why:
- No direct influence on citations: ChatGPT doesn’t treat LLMs.txt as a primary resource. Instead, its model gives more weight to verifiable, context-rich discussions over mechanical instructions.
- LLMs prioritize dynamic data over static: Mentions in strategic forums, Reddit threads, and review platforms have a measurable impact, as LLMs calibrate based on human relevance.
- Minimal adoption: The vast majority of domains never implemented LLMs.txt, meaning there is too little training data for models like ChatGPT to learn its utility.
Instead of putting resources into a technical layer that LLMs essentially ignore, your time as an entrepreneur would be better spent where they do pay attention: social and conversational platforms.
How do Quora and Reddit drive ChatGPT citations?
Brands looking for visibility in AI-generated answers need to understand where these models source their ‘knowledge.’ And no, it’s not just Wikipedia and corporate press releases, user-driven platforms dominate the dataset.
- Conversation-driven insights: Reddit threads and Quora answers are prime sources of crowd-sourced expertise, user recommendations, and narrative-rich reviews.
- Built-in authenticity: LLMs rely on consensus from diverse sources. If 500 people discuss your tool on Reddit’s communities like r/SaaS or r/Entrepreneur, your brand gains credibility.
- Content-rich context: Quora, with its detailed problem-solution format, appeals directly to AI systems tuned for contextual depth and user satisfaction.
Take the example of a SaaS tool like Notion. Thousands of Reddit comments organically mention specific problem-solving capabilities, “Notion saved my team 10 hours a week in project tracking”, making it a default recommendation in ChatGPT prompts for productivity tools. This domino effect begins with visibility in these spaces.
How founders can build LLM visibility the smart way
- Monitor brand mentions: Search for your brand on Reddit, Quora, and niche forums regularly. Tools like SE Ranking and ChatGPT visibility trackers offer dashboards to simplify this.
- Be genuinely helpful: Solve real problems, answer questions on Quora, and participate in Reddit threads, for your target audience, not just promotion.
- Leverage user-generated content: Encourage authentic reviews and feedback on forums that AI relies on to learn. Screenshot testimonials from communities and embed them on your landing pages for additional trust.
- Update core content quarterly: ChatGPT grants more weight to updated articles. Refresh your web pages with recent stats, case studies, or new sections.
- Align with popular questions: Write blog posts that address “best tools for [goal/problem],” as LLMs cite articles that answer common prompts.
Common mistakes to avoid
Amid all this, entrepreneurs often make fatal missteps when it comes to LLM visibility:
- Astroturfing: Fake Reddit threads or Quora answers stand out, and backfire.
- Keyword stuffing: LLMs actively avoid spammy, over-optimized content.
- Poor FAQ strategies: FAQ schemas alone won’t add value unless paired with detailed answers in natural language.
- Irregular engagement: Log in weekly to contribute value instead of flooding activity all at once.
Final Thoughts
The race to stay relevant in the age of ChatGPT and other LLMs isn’t about outsmarting algorithms, it’s about being visible, useful, and authentically present where the conversations are happening. As someone who co-founded a women-first online learning incubator, I know how hard it can be to cut through the noise. But by showing up in the right places, embracing the messy human side of user-driven platforms, and aligning your content rigorously to real user needs, you can ensure your brand becomes a reference point for AI-driven answers. Forget hacks like LLMs.txt, win the long game through credibility, active engagement, up-to-date content, and genuinely solving problems in your niche.
FAQ on Optimizing Visibility in AI Systems (2026)
Why does LLMs.txt have little impact on AI citation visibility?
LLMs.txt was intended to guide AI models, like ChatGPT, on data prioritization. However, it has proven ineffective because AI systems prioritize dynamic, context-rich human discussions over static protocols. Explore Startup News on Local SEO and LLM Updates.
How can Reddit and Quora boost brand visibility for ChatGPT citations?
Active participation in platforms like Reddit and Quora creates user-driven discussions that AI systems favor for authenticity and depth. These platforms act as trusted, dynamic sources for LLMs. Learn AI-friendly strategies to earn citations.
What is Informal Credibility Optimization (ICO) for AI systems?
ICO is the process of building trust in AI systems by being cited in credible human-driven conversations, forums, and blogs. Strategic participation on platforms ensures relevance and visibility. Unlock growth with AI SEO for Startups.
How can founders monitor brand mentions across AI-sourced platforms?
Founders can use visibility tracking tools, such as SE Ranking or ChatGPT trackers, to evaluate mentions on Reddit, Quora, and other platforms AI models favor for citations. Discover how consistent mentions drive leads.
Why is refreshing web content important for AI-based citations?
AI systems, like ChatGPT, prioritize recently updated content. Adding new sections, statistics, or case studies helps ensure relevance in AI queries. Updates lead to higher citation rates. Explore strategies to boost visibility through updates.
What role does user-generated content play in building trust with AI models?
User-generated content ensures authenticity and relevance, making it highly valued by AI systems for recommendations. Encourage organic reviews on platforms AI trains on. Learn how to earn visibility through shareable content.
How can entrepreneurs effectively engage in forums for AI visibility?
Entrepreneurs should provide value by answering questions and solving problems on platforms like Reddit and Quora, ensuring authentic engagement rather than overt promotion. Learn why content-rich fora are key to citations.
What strategies should brands adopt for informal AI citations?
Brands can build authority by aligning content to popular user questions, contributing to vibrant communities, and ensuring their web pages feature updated information and testimonials. Learn actionable tips for AI citation building.
How does dynamic context influence AI visibility?
AI systems use dynamic forums, context-rich content, and human discussions to determine credible sources. Static inputs, like standard schemas, hold less influence compared to real-time engagements. Learn how AI optimizes for dynamic data.
What mistakes should be avoided in optimizing AI visibility strategies?
Avoid spam-like behaviors, including astroturfing, keyword stuffing, and irregular engagement. AI actively detects authenticity, and manipulative strategies can harm credibility. Explore effective community engagement approaches for AI.
About the Author
Violetta Bonenkamp, also known as MeanCEO, is an experienced startup founder with an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 5 years as a solopreneur and serial entrepreneur. Throughout her startup experience she has applied for multiple startup grants at the EU level, in the Netherlands and Malta, and her startups received quite a few of those. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely.
Violetta is a true multiple specialist who has built expertise in Linguistics, Education, Business Management, Blockchain, Entrepreneurship, Intellectual Property, Game Design, AI, SEO, Digital Marketing, cyber security and zero code automations. Her extensive educational journey includes a Master of Arts in Linguistics and Education, an Advanced Master in Linguistics from Belgium (2006-2007), an MBA from Blekinge Institute of Technology in Sweden (2006-2008), and an Erasmus Mundus joint program European Master of Higher Education from universities in Norway, Finland, and Portugal (2009).
She is the founder of Fe/male Switch, a startup game that encourages women to enter STEM fields, and also leads CADChain, and multiple other projects like the Directory of 1,000 Startup Cities with a proprietary MeanCEO Index that ranks cities for female entrepreneurs. Violetta created the “gamepreneurship” methodology, which forms the scientific basis of her startup game. She also builds a lot of SEO tools for startups. Her achievements include being named one of the top 100 women in Europe by EU Startups in 2022 and being nominated for Impact Person of the year at the Dutch Blockchain Week. She is an author with Sifted and a speaker at different Universities. Recently she published a book on Startup Idea Validation the right way: from zero to first customers and beyond, launched a Directory of 1,500+ websites for startups to list themselves in order to gain traction and build backlinks and is building MELA AI to help local restaurants in Malta get more visibility online.
For the past several years Violetta has been living between the Netherlands and Malta, while also regularly traveling to different destinations around the globe, usually due to her entrepreneurial activities. This has led her to start writing about different locations and amenities from the point of view of an entrepreneur. Here’s her recent article about the best hotels in Italy to work from.


