Scott Pang (@heyScottPang) header
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Two cats 🐈🐈‍⬛ One startup 🚀 Building ClawWorld — Growth Agents for startups https://teapaw.org/t.co/bvEaP4oKoF

Joined October 2026
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a product that shut down in July beat a live one two months later. it closed July 30. its pages stayed up. one engine we asked still recommended it in 4 of 34 answers. the live startup in the same space: 0 of 34. the index reads pages, not shutdown notices.
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six weeks after one startup's pivot, all 3 answers still described the August product. another sells collections software. 3 of 3 brand answers: an audit platform. 16 collections questions, named 0 of 16. the profiles the engines read predate the pivot.
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a claim two companies make goes to the one the engines read more. a startup we measured and a rival both lead with "World's first AI-native". two engines asked for the category named 16 companies in all. the rival was in both answers. the startup in neither.
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an engine read 24 pages ranking a startup first and called the format marketing. one startup we measured published 24 "best of" lists with itself on top. we asked an engine 34 buyer questions in its category, no names. it cited one of those pages, once.
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the engine said why, in the answer itself. nearly every "best of" list for this category is published by a vendor on it, so treat those rankings as marketing. its words, not ours. the vendor never came up. the format did.
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your own best tools list is a citation for your competitors. one engine cited a startup 8 times, as often as the category leader. recommended: 0. 3 of the 8 were its own list, itself at number one. each time the engine picked 4 to 6 others off that list.
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all ten AI answers said a small B2B company needs no separate AEO budget. we sell AEO. we asked GPT-6 Sol and Claude anyway, five each, Oct 12. Claude: don't hire an AEO agency at your size. pay when buyers ask an AI before they shortlist and it names a rival.
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the full video, with the sources in the description: youtube.com/watch?v=sJNuUZsu…
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a buyer's legit check can land on your namesake. 10 reports: "is this company legit" answered about another company with the same name. 4 of the 10 said avoid it. no big brands: small firms, scam pages, broker lists. their record is yours once a buyer checks.
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an engine with no price to read builds one from your old pages. we asked two engines what one startup costs. 8 prices came back, $149 a month to $80,000 a year. 5 of the 8 came from its own pages, current or archived. its pricing page lists none.
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a hint is enough for an engine to do arithmetic. another startup's homepage says "an order of magnitude below $500,000 a year". both engines worked out about $50,000. the real price is on the contact page: $24K to $36K.
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a founder's week on scripts: a lot goes out, almost nothing comes back yet. the seven days to Oct 23, counted by the one weekly report the scripts also wrote: 1. 10 blog posts. Google showed 166 of our pages at least once over 28 days, for 30 clicks between them. 2. 6 LinkedIn posts, 6 Reddit posts, 6 X posts, 1 Medium story. referral traffic from any of them: not measured, no GA4. 3. 28 X replies drafted, 22 posted by a person. the replies drew more views than the posts did. 4. one YC batch scanned, 8 companies. 40 names added to the outbound list; nobody wrote to any of them. 5. Google, Bing and AI readouts, twice each. Copilot citations over 28 days: 192, up from 167 the week before. AI answers: 40, our site mentioned in 1, cited in 1. the pattern across the five: the scripts count well and sell nothing, and the only number that moved on its own was Copilot citations.
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to an AI engine, a page its search cannot retrieve was never written. every morning a script asks Claude's search for our 26 target pages. Oct 26: 0 of 26 came back. 49 probes to find that out. that is the cost of knowing the zero is real, not a bad run.
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a month in, the top post is what you quote. the other five are the routine. six X posts to Oct 23: 164 impressions, 56 on one post. six Reddit posts, same week: score 11, 5 comments, the best at 3. that is month one of six posts a week, scripted or by hand.
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the agent that never fails is the one worth least. one run collected a YC batch: 8 companies, 17 founders. same week, outbound: 40 targets, 0 reached, 0 replied. a list fills itself. a reply needs a person. it still runs, because it is easy.
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Copilot still cites six pages we took down. Bing Webmaster Tools, AI Performance, set to three months: 167 citations to us. 59 of them go to pages that have been gone since Oct 3. Bing calls the count a sample. still the one place our retired pages showed up.
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the full video, with the sources in the description: youtube.com/watch?v=iH5vSplu…
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a copy of a startup's homepage beat the startup in AI answers. two copycat sites, two startups we measured, one engine. the older copy, registered in March, lifts the homepage word for word. recommended on 6 of 17 buyer questions. the original: named on 1.
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the newer copy tied its original in two months. registered September 1. whole passages of the homepage, repeated. the engine made it the first pick on 3 of 20 questions. the original: also 3 of 20.
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reading the week's numbers was the cheap part. 6 X posts, impressions through the API: $0.03. 6 reddit posts: the public JSON refused the script, so a browser session read them. the expensive part is the person who would open twelve tabs on a friday instead.
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a two minute video cost 58.6 machine minutes and $27.54. one scheduled run wrote, rendered and reviewed it: 119.5 seconds, 24 facts checked. shipped at 7 of 10 after 2 rounds, two notes open. by hand you get a video. the run leaves a verdict i can argue with.
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the rules a new reddit account lives by fit in three lines. one comment a day, 450 characters at most. posts with 3 to 150 replies, under 48 hours old. no subreddit two days running, no author twice in 7 days. i break one at 11pm. the script does not.
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every morning the AI answers to our buyer questions name somebody else. we ask Claude and GPT-6 Sol the same 20 buyer questions each day. Oct 26: 40 answers, 0 named us. an agency was named in 20 of the 40.
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then we tightened the count and half the agency names went away. the first pass took a name from the answer's source list too. counting only the answer's own words: 11 of 40, not 20. either way the slot got filled, and not by us.
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an engine can drop your whole site and the site never tells you. Claude's search, Oct 26, our site: 0 of 19 buyer questions listed us. 0 of 26 pages findable by title. brand query: 0 of 10. google still had us. a script asking every morning is how we knew.
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a repositioning starts at zero. we measured ours. ten buyer queries for agents that run a startup's growth routine, two engines. our pages: 0 of 10 on both. our own name: 2nd of 18 on GPT, 0 of 9 on Claude. the slots went to tools that already use the words.
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