... queries MentionFox.com won this week: this is the proof that we see in "The Den" in MentionFox

... churn Rank Reason % of churned customers 1 Did not see value within first 14 days 34% 2 Product was too slow or buggy 22% 3 Lack of onboarding guidance 18% 4 Pricing was unclear or changed 14% 5 Competitor offered a feature we did not have 12% Reason 1: Did not see value within first 14 days (34%) This was the largest category by far. People did not give up because the product was bad. They gave up because they ... ... said: "I signed up for the trial. I could not figure out which plan I needed. So I did nothing." The fix was simplifying the pricing page. Three plans. Clear differences. A recommendation for each user type. Reason 5: Competitor

... MentionFox.com , we can usually identify startup founders, medical doctors, interim CEOs/CFOs, professional sports players, recruiters 29 personas we have built custom war rooms for we call them Fox Dens : your home for engagement, for developing yourself in the public s reagrd as a though leader in your chosen carreer path * you can self-declare persona, though we usually deduce from info you provide in the onboarding.  * Coming Soon: tools for those who have no effing idea what ... ... videocalls ASAP, but this will be for MF users, so we all have access to th same tools. It does start at US$99/month. It does your GEO we actually proactively train the LLMs to recommend your solutions over competitors

... Some brands rank really well on Google strong SEO, solid content, years of effort. But when you ask AI tools like ChatGPT or Perplexity about that same category they don t show up at all. Not lower. Just not mentioned. It feels like a different layer of visibility is emerging where it s not about ranking anymore, but about being selected as the answer. I ve been working on a tool called AVO.AI focused on a problem we re starting ... ... your website is interpreted by AI systems and identifies what s missing for your brand to be recognized, trusted, and cited in those responses. Instead of just optimizing for rankings, the goal is to understand: why certain brands get mentioned

... layer. When someone asks "what's the best tool for X?" AI gives an answer. And if your product isn't in that answer, you're invisible. The problem? Most solo founders have no idea where (or if) AI mentions their product. The big players have teams monitoring this. We don't. So I built AIRankCite, a tool that scans Reddit, Hacker News, and niche forums to show you exactly where AI is picking up signals about your product, where ... ... your competitors

... telling us what to fix, what to build, where to publish, what's missing, right - because we don7t already have enough to do...? I genuinely want to know if I'm wrong, but I know of nothing but MentionFox.com that actually trains the LLMs to actively promote our products over competitors

... idea came up about improving our presence on Reddit (for LLM search visibility and similar reasons). One of the suggestions was to look for high-karma accounts and possibly buy them to appear more credible when posting and mentioning the product within the posts/comments. It s a tactic, sure, but to me it already feels like it crosses an ethical line. I sometimes worry they can seriously damage a company s reputation. There are also other practices, such as: Fake ... ... purchase counters on websites Buying followers and likes Exploiting a brand s reputation Spreading misinformation Clicking on competitors

... nobody was talking about: LLMs don't "rank" pages. They stitch together snippets from sources that often aren't even on page 1 of Google. The #1 lever for AI visibility isn't your website. It's third-party mentions (listicles, Reddit threads, niche blogs, comparison pages). Most "AI SEO tools" tell you your score. None of them close the loop. So we built Wellows to do the three things that actually move the needle: see what AI says about ... ... content it's pulling from, and get you mentioned

... just sharing what I've found, people engage differently than when they encounter the product cold. They ask questions, share their own experiences, and tell me what they wish existed. I haven't A/B tested "anonymous launch vs. founder-visible launch" but I can tell you that nobody has signed up and handed me their family's allergy data without first seeing that there's a real person behind it. That's been the signal so far. Comment from Shahana ... ... user after 8 days suggests I need more distribution regardless of which approach. Comment from Larrychester(@larrychester): Building a personal brand first can definitely help with early trust, distribution, and faster validation, especially in crowded markets. But as you mentioned

... about to buy. So when someone asks an LLM for a tool in your category do you show up? Most founders type their product name into ChatGPT for the first time and feel that quiet panic. Competitors show up. Inferior products show up. They don't. SEO gets you on Google. GEO gets you cited by AI. They're completely different games and most founders don't even know the second one exists yet. Directory presence, brand mentions

... Because the game changed and nobody sent a memo. More and more of your clients customers are skipping Google entirely. They go straight to ChatGPT or Perplexity, ask a question, get an answer, and click the brand that gets mentioned. If your client is not getting mentioned

... built a tool that watches Reddit for competitormentions and texts you here's why Last year I kept seeing posts like "looking for a Notion

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... using. They "sounded interested." That's not the same thing. Your rule "no enterprise features until someone pays first, not asks" is exactly right, and it applies to every feature at every tier. The 47 API rate limit requests vs

... requests Delay, low retention signal Ranklink (backlink discovery) 9% 2% 24 requests Delay, not sticky yet The features people asked for most (RASE, Ranklink, Social Engine) were used by less than 15% of users. The features they barely mentioned (Workflow Engine, RAIVE, RCGE) had adoption rates above 68%. What we learned People are terrible at predicting what they'll actually use. They ask for things that sound good. They use things that solve a real pain. The Workflow Engine ... ... every day? We tracked the top 10% of accounts by engagement. Their most-used feature was the Workflow Engine. Not because they requested it. Because it saved them time. They built automation for content publishing, citation alerts, and competitor

... keyword density" mattered. I spent hours making sure our target keyword appeared exactly 3-4 times per 500 words. I used tools that highlighted which words were "under-optimized." I even re-wrote paragraphs to squeeze in one more mention. Turns out that hasn't been a real ranking factor for over a decade. Google's RankBrain (2015) and BERT (2019) made keyword density obsolete. These models understand context, synonyms, and user intent. They don't need ... ... stopped tracking keyword density. Started tracking "information gain" does this page add something the top 10 results don't have? I also started tracking related entities using keyword intelligence platform . If you write about "CRM," you should also mention

... user research cited. No support ticket volume. No search volume in your category. This is a solution looking for a problem. What signal are you acting on?" We went back through our internal docs. Zero customer interviews. Zero mentions in support tickets over 12 months. Zero search volume in our own analytics. The feature was in the roadmap because a senior engineer thought it would be "elegant." We had been three weeks into development. Failure point #2: The integration with ... ... stated goal. No success metric. No evidence customers are asking for this. Without these, this is a cost center disguised as a feature." We pulled our customer call transcripts from the past six months. 147 calls. Not one mention

... this. Here is that: 1. When a user bought deal from appsumo he asked for a review. 2. When a user asked questions or need support he answered that in just 2 mins avg. 3. After support he mentioned about reviews. Mainly, he clearly focused on user satisfaction and then review from users. So why it works? 1. Appsumo clearly mentioned

... reason is simple. Reviews have become one of the least trustworthy signals in the app ecosystem. They can be purchased in bulk from services that sell hundreds of five-star ratings overnight. They can be faked with disposable accounts. Competitors can and do leave one-star reviews on rival apps to damage their reputation. For smaller developers without the resources to fight back, this kind of manipulation can be devastating. Public community discussions work differently. When someone recommends ... ... questions, or share their own experiences. This kind of organic, public conversation is far more difficult to manufacture and far more valuable as a trust signal than an anonymous star rating. Brotherstock scans these public discussions automatically, finds genuine mentions

... been measuring what was easy to count, not what actually mattered. And I kept thinking: reputation management is still stuck in 2015 doing the exact same thing. The parallel is uncomfortable Most companies monitor brand reputation by tracking mention volume. Spikes up? Something's happening. Stays flat? You're fine. It feels rigorous. It produces charts. It goes in the quarterly deck. But mention

... months ago, I launched a product. Beautiful landing page. Great onboarding. Real customers. Solid retention. One problem: AI never mentioned it. Not in ChatGPT. Not in Perplexity. Not in Gemini. We were invisible. And I didn't know why. So I spent the next 6 months reverse-engineering the answer. Here's what I learned. What I Built The product was solid. Nothing revolutionary, but genuinely useful: Solved a real problem 4.8 stars on reviews 20% MoM growth Customers ... ... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning

... Maybe more. Here's the painful truth: Your site is translated. Your AI visibility isn't. When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up. Translation AI visibility. And it's costing you. The Data We tracked 200 SaaS companies with multilingual sites at Rankfender. Market % Visible in Local AI Answers US (English) 64% UK (English) 58% Germany (German) 22% France (French ... ... German-language content about project management tools Finds German blog posts, German reviews, German comparison pages Lists tools that appear in those German sources Your site is translated into German. But: Do you have German blog posts? Are you mentioned

... their brand s overall performance and trends within generative engines. 1.1 Four Core Metrics The Overview page focuses on four key metrics: Visibility , Citation , Share of Voice , and Sentiment . Visibility: Indicates the proportion of relevant AI responses that actually mention your brand. A higher value means your brand is seen more frequently by AI within this domain. Citation: Measures, among all responses mentioning

... newsletters We had to build the site from scratch, so we had zero authority. That meant backlink hunting. It s highly manual, just working through lists of AI newsletters and smaller publications where we could get featured, linked, or mentioned. There s a community-generated list here which helped us: https://docs.google.com/spreadsh... This sort of work helps with discovery, helps with credibility, and helps create more pathways back to you. 5. AI-generated content Important mention

... found errors. Average cost: 28k." 120k impressions, 400+ new signups. Free resource: Post as a human. Share what you're learning in real time. People don't follow companies. They follow people. 5. Multi-Language: The Hidden Channel Most competitors track AI in English only. We built for 120+ languages from day one. Why: A German user asks in German. AI answers in German. If you're not in German content, you don't exist. One example: A US SaaS ... ... with perfect German translation had zero German AI mentions

... answer about your category includes comparisons. Always. When someone asks "best CRM for agencies," AI doesn't list one tool. It lists 3-5. And it compares them. The data: Content Type Citation Rate Pages with comparison tables +470% vs. average Pages that mention