Recent content by marcotwzrd2

a case from our own agency -> 6 customer questions in spanish, chatgpt, grok and gemini, every question asked twice. we were recommended in 0 of 36 answers. one competitor showed up in 7 of 36. one directory was among the sources on 5 of 6 questions, so we published a profile there the next day...

the opening seconds chapter -> what happens right after someone joins your channel. departure benchmarks from 49 campaigns, pooled 69%, recent median 64%, range 51 to 93%. then the list of what we inspect in every audit, so you can check the same things on your own channel before you pay for...

a quick check before you order -> this fits if your telegram channel already does the selling. teasers, a pinned post, your link or your chat username. we bring people from our adult sites who searched on google, they land in the channel and the channel does the rest. if you want clicks sent...

a staff approved review from a full audit, done for a locksmith business -> "I'd recommend it to other business owners who want to understand how their business is appearing in AI search". that's what it's for. you see what the assistants say when a customer asks and doesn't type your name...

one part of the guide is the 30-day plan -> so it doesn't stay something you read once. with it there are three working sheets. a scored channel audit to see where your channel is weak, a weekly tracker, and the definitions and data windows so a number means the same thing every week chapter...

the totals on the public live page -> 88,575 members delivered since june 16, on 138 channels, 42 campaigns completed. the page is public so you can open it before you order and look again after. your order gets its own live report with its own number, so you're not looking at a total details...

this week on the public live page -> 4,284 joins handled in the last 7 days and 2 channels in delivery right now. that's the whole system, not one channel. your order gets its own live report, so you follow your own number and not a total details in the op

the measurement chapter is short -> five numbers, looked at once a week. new conversations per channel is the earliest sales signal. net members is joins minus departures. and every traffic source gets its own invite link, so when sales drop you can see which source moved and stop guessing...

what the audit doesn't do -> no bought links, no listings or reviews to move the answers, no fake accounts or posts. it looks at what chatgpt, grok and gemini say today for the questions your customers ask, every question asked twice. it's a measurement, not a promise details on both in the op

what happens after the audit -> 60 to 90 days later the same questions run again, with the same settings. you see what changed question by question, which new sources the assistants started citing and which new names showed up next to yours. same questions = a fair comparison, not a new test...

the setup chapter -> a public channel as the front door, people find it in search. a private one as the second room, for the paid stuff. then the five fields a visitor sees on arrival = name, username, photo, description, pinned post. the username one is simple, pick it once and never change it...

how a delivery runs -> it comes in waves through the day, never one spike. no password, ever. every campaign gets its own live report page so you can follow it from start to end. people who leave while the delivery is running don't reduce the order, they get refilled details in the op

the assistants keep citing the same few sites in their answers. those sources get checked by hand -> how businesses show up there and what it takes to get listed. 5 sources in the quick check, 15 in the full audit. sometimes the fix is there and not on your own site details on both in the op

what happens after a package ends -> the public live page tracks it. the median net change of a finished channel is −8.8% of its target after 7 days (38 channels) and −15.0% after 30 days (24 channels). that's the whole channel moving, every leave counted, not the share of our members who stayed...

one chapter looks at who pays -> the 7-day purchase rate split by app language and by name, across 90,590 subscribers in five monthly cohorts. it shows which part of the audience buys in the week after joining, so you know who to write the selling posts for chapter list in the op