... that s core. Slow process, but no more surprises. Has anyone else formed a similar practice or is there a way to automatically do this testing? Comment from Dim Neocleous(@dimneo): Do they follow your request? Or have you seen them go out of line sometimes ...

... between the marketing copy and actual proof. Most case studies talk about "improved visibility scores," not real outcomes like traffic, leads, or revenue tied back to an AI mention. So I'm genuinely curious what this community has actually seen, not just what the vendors claim: Has an AI Overview or ChatGPT mention ever driven traceable traffic or a lead for you or your clients? Are you (or your team) actively optimizing content for AI citability right now, or still ...

... That means I need to learn from the best. I ll be using the website for my Product Hunt launch and to get the verification badge in the Chrome Web Store. What are the best product pages you ve seen on Product Hunt so far? Ideally, I d love to see examples for Chrome extensions. Comment from Askim Stucki(@askim_stucki): @busmark_w_nika No, not really, to be fair. And if I did, then without knowing that they used ...

... real improvement. Irreversibility over-fires on writing a log line and under-fires on a migration you can only roll back with downtime. Reach is the better axis. But every gate in that conversation, and every gate I have seen shipped, evaluates a single action in isolation. Sending one email to one person is low reach. It passes. Four hundred of them inside twenty minutes is a mass email to your entire list, assembled one approved step at a time ...

... looking through the newly released benchmark comparison, and one thing stood out immediately. Opus 5 outperforms Fable 5 on many of the benchmarks that matter to me: * Agentic terminal coding: 43.3% vs 33.7% * Knowledge work: 1861 vs

... make AI invisible. The user just notices the product works better. Loading times feel shorter because the app predicted what they'd need next. Search results are weirdly accurate. The interface adapts without them noticing. Three patterns I've seen work: Solve the friction, not the feature request. When users say "add AI to X," what they usually mean is "X is too slow / too hard / too confusing." Dig into why. Let users pull, don't push. The most successful ... ... features I've seen

... first, always. If I can't tell what gets easier in the first few seconds, a slick demo just feels like a feature looking for a reason. The demo only earns my attention after the problem makes me feel seen. Comment from Hadi Farnoud(@hadifarnoud): Great framing. For Retime, the problem is not "people need another calendar." It is that meeting work is split across too many places: availability in one tool, the calendar invite somewhere else, agenda ... ... more than any UI polish did. So yeah, I d say naming the problem is the actual unlock. The demo just has to not get in the way of it. Comment from Viraj Parab(@viraj_parab): StartupHQ to organize competitor

... flows more efficiently: https://www.producthunt.com/prod... Comment from Nolan Vu(@nolan_vu): @abhayraghuwanshi  Thanks for breaking this down, man, it's genuinely helpful to see the raw process. The local model vs cloud model tradeoff you mentioned is such a real pain point, I've seen

... that really caught my attention. Many great Indian businesses were spending heavily on SEO and marketing. When I asked ChatGPT for recommendations, most of these brands weren't even listed. The AI would recommend global companies, old websites, or competitors instead of Indian businesses. This really bothered me. As people start using AI to find products and services not being seen

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... wastes your tokens. been building the loop side (tokenwall.dev, validating this week), circuit breaker that catches runaway loops at iter 3 vs noticing after. would folks here want notifications about loop-events too, or is that a separate observability layer? Comment from Atul Yadav(@atul_yadav20): @aadilghani   taking all of it. two-event split (loop_warning vs

... lame or very simple - I just can't cook at all, so that is helping me a lot, but would probably be useless for anyone else :D Comment from Nolan Vu(@nolan_vu): The most impressive one I've seen wasn't a flashy consumer app. It was an AI agent at a regional bank that cut KYC processing from 5 days to under 24 hours. What made it work wasn't the model itself, it was how the system ... ... different document types to different models based on complexity. That's when it clicked for me: the orchestration matters way more than which LLM you pick. Comment from Nolan Vu(@nolan_vu): Honestly the most underrated use I've seen

... this feature? Why this customer? Why this way? When the questions stop, the thinking stops. The team is just executing. Execution without direction is just busy work. 5. The demo always works. The real product never does. You have seen this one. The demo environment is perfect. The production environment is a mess. The team knows how to make it look good. They do not know how to make it work. That gap only grows. 6. The churned customers ... ... this company? Those are not plans. They are hopes. The project is failing when you spend more time imagining the future than fixing the present. What I am curious about What is the quietest, most subtle sign you have seen

... 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 Google ads to drain their budget And the list could go on. What do you consider dishonest marketing practices? Have you ever had personal experience with them? On the other hand, have you ever seen

... mentioned, sharing your personal keys, from the account where you built your whole empire, creates real security concerns over time. Comment from Nelli Orlova(@nelly_orlova): the 'can't hand over personal accounts' part is underrated, i've seen 2 web3 founders kill acquisition talks bcz the twitter was tied to their face. brand-first works if you treat it like a separate asset from day one, not a side effect. curious if anyone here has actually pulled ... ... want to sell later, or hand off completely then you need it to exist independently from you. "Giving someone the keys problem you mentioned is dead-on and, honestly, founders don t talk about it enough. I've seen

... 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 ... ... care about SSO or audit logs they cared that we sat with their team for two weeks understanding their workflows before writing a single line of custom code. Your data table showing SSO (4 requests, 2 actual users) vs

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... 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 brands, how many include a link pointing to your official website or domain. This reflects not just exposure, but the degree to which AI treats your brand ... ... credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor

... 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 competitors. Why give them free airtime? Wrong move. Every AI answer about your category includes comparisons. Always. If you don't provide the comparison, AI finds someone who does and that someone might be your competitor

... 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. A local competitor

... testing it and leaving. Then the paid plan becomes more about scale, automation, and API usage for power users. Comment from Dishant Singh(@dishantsinghdev): For my main tool I offer a free plan with features that most of my competitors already ask payments for and introduce more better features with API access for that tool which I put under paid plan with a 3 days free trial and cheaper rates. Comment from Ayman Elafifi(@ayman_elafifi1): @busmark_w_nika ... ... gating let users access the full product, but limit runs/outputs/reports. They get to feel the full value before hitting the wall. The conversion conversation becomes 'do you want more of this?' rather than 'unlock this feature you've never seen

... schema 71% 19% Cite data sources 68% 27% Part 3: What content wins AI citations? This is the question everyone asks. Here's the data: Top 5 content types by citation rate: Comparison pages (X vs Y) 3.2x average Structured FAQs 2.8x average Data-driven articles (with stats, tables, studies) 2.4x average "How to" guides (step-by-step) 1.9x average Original research 1.7x average What performs poorly: Short opinion pieces Thin content (<500 words ... ... great for blue links. But none of them show you how you appear in AI answers. Here's what we track: Actual AI-generated answers mentioning your brand Citation rates across ChatGPT, Google SGE, Perplexity, Gemini Share of voice vs

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... over 600 products in a single day. Six hundred . That s potentially 3,600+ products in a week: So now go back to the original argument... You can start to see the truth in it. Because marketing is being seen. And being seen