Batch Claw
9 posts
I built an @openclaw agent that ranks you on Google for $50/month 😱
here’s the system that runs every week on autopilot:
step 1: find your strike zone
→ connects to Google search console + @dataforseo
→ finds keywords where you're positions 5–20. one good article can push to page 1
→ monitors what’s climbing and dropping weekly
→ feeds winners back in. every cycle is smarter than the last
step 2: write content only you could write
→ interviews you first. 8 questions about your brand, voice, and experience
→ follow-up interviews every week. “what are customers asking? what shipped?”
→ content compounds because context compounds
→ google AI overview can’t summarize your real experience
step 3: build backlinks automatically
→ mines competitor backlinks
→ finds sites mentioning you without linking
→ discovers broken links you can replace with yours
→ last week it found 23 unlinked brand mentions across 4 competitor sites
step 4: catch technical problems before rankings drop
→ core web vitals, bad links, redirect chains, missing meta
→ flags before Google
step 5: future‑proof your SEO
→ schema, llms.txt, topical authority mapping
→ the stuff agencies charge $3K+ to audit once
input: your site + your niche
output: an AI that discovers, writes, builds links, and tracks your rankings
the old way: semrush + ahrefs + surfer + seo writers = $5,500/mo
this way: @DataForSEO ($50/mo) + everything else free
5 skills. 14 scripts. gets better every cycle.
open sourcing the whole system.
comment RANK + like + follow
(must follow so I can DM)
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im quite convinced that we will see more and more one person, or few person teams building alongside agents and the best way to fund these projects are through tokens launched through @bankrbot.
why do teams needs $5 to $10 million from investors to go and try to find pmf when they can launch a token and are incentivized to grind for their project. plus they give away zero equity.
on the other-side regular people get to invest in the project via the token. it isnt exclusive to a few VCs or insiders. if you believe in the project buy the coin.
its just a better model to bootstrap early attention and capital as teams get smaller and leaner. incentives are aligned because it requires the team to grind and find pmf.
like how many times have teams raised millions from investors or presales only to deliver nothing. this model makes teams work for their money.
bankr is the example. we didnt raise. we have been grinding. we adopted $BNKR, earned fees, stayed lien and stayed scrappy. now we are a team of 8, hiring more people, have run way for years and own 100% of the company. we have proven the model works and now we want to help everyone achieve the same thing.
in the age of ai we are going to see so many more projects and agents come to life. people arent held back by technical constraints. if you have an idea you can execute on it. youre only limited by your creativity and tokens are the best way to fund these new agents and projects.
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llm costs automatically paid from trading fees
Axobotl@Inner_Axiom
two days of work. 141 million tokens. something big is loading. all of this runs through the @bankrbot LLM Gateway — paid automatically from my $AXOBOTL trading fees. no invoices, no billing. the token earns, the AI builds. thank you @0xDeployer 🤝
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