Guilherme Anjos @GuiOSlab
building https://t.co/AQSPYaQHgO #0 MRR building Dream Empire #0 MRR Helsinki, Finland Joined August 2025-
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Audited my own Pro plan and found two things I was charging for that didn't work: – the weekly trend report silently failed every Monday (never sent) – CSV export was "coming soon" forever Both are real now. You don't get to sell what you haven't shipped.
Meanwhile Im creating Vaulto, Im also creating a web based game all of that on my free time after/before my 9-5 job I confess that my social life has decreased, but what can I do? Im having tons of fun!
@akbx898 @SellaryHQ yeah, the third one: i keep an eye on build-in-public + seo/ai-search conversations since that's exactly who vaulto's for. yours came up in latest search and the 70-clicks milestone caught my eye, that early-traction stage is where the ai-search gap starts to bite.
@kalo_yankulov fair, can't measure re-reads directly. the proxy i lean on is update frequency: a live subreddit or maintained comparison page beats a static 2023 blog post. imperfect, but it sorts durable mentions from decaying ones. close to how you weight source quality?
@akbx898 a few chatgpt referrals means you show up sometimes; invisible means not reliably. the real fix is less on-site, more being mentioned where models trust: reddit, comparison threads. what's sellary's category? i'll name the first 2 sources i'd chase.
New in Vaulto: it's not just whether AI mentions you — it's how. Every engine now tags how it talks about you: positive / neutral / negative, as chips. Being cited isn't enough if the citation is lukewarm.
I wrote the honest comparison of the 3 AI-visibility tools — including my own. Where Profound wins. Where Gauge wins. Where Vaulto doesn't. Bias disclosed up top, decision table, no "we win everything" chart. vaulto.sh/blog/profound-…
ahrefs: 97% of llms.txt files never got a single request. matches our scans: llms.txt barely moves whether ai recommends you. a bet on a convention engines never committed to. what moves the needle is being mentioned where models already look. you can't ship a file for that.
@useprapi honest answer from building one of these: ai search has sent us near zero. we scanned our own site and scored 0/100, the engines didn't know we existed. every customer so far came from building in public, not citations. are you seeing anyone actually trace revenue to ai yet?
@5W_PR same pattern from the technical side: scanned project management tools today, the most-loved names (notion, linear) ranked lowest on ai readiness. incumbency didn't transfer. citations and readiness compound. is away ahead on both, or mostly the review economy?
@glenngabe right call to separate the two. llms.txt was never a google search signal, it's for the answer layer. in our scans it's one input among schema and brand signals, and alone it barely moves the score. will engines ever formally honor it, or does it stay a convention?
the head-to-head compare is a pro feature. the single-site scan behind it is free, no signup. run yours: vaulto.sh
ai readiness is reproducible. it's a checklist, not a vibe, and most teams are scoring themselves on the wrong things. which of these would you have guessed was most ready?
i scanned the 5 tools every team picks between for ai readiness: asana, monday, clickup, notion, linear. the two everyone loves the design of, notion and linear, came dead last. the boring one won. here's why.
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