Mike Perez

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Mike Perez

Mike Perez

@highrank

Founder of https://t.co/XrdCDY2W6E (AI Visibility Tracking & Optimization for agencies and brands), https://t.co/mCx68RaSQ7, LawyerMarketing and https://t.co/HQthGi17pW

San Diego, CA Katılım Mayıs 2007
371 Takip Edilen382 Takipçiler
Mike Perez
Mike Perez@highrank·
This is actually incorrect, there are many significantly other more important factors. We work with hundreds of personal injury law firms and track thousands of firms across the country. Plenty of firms with high visibility in answer engines don’t even have settlement/verdict pages at all. While it’s great to have as it’s crucial for conversion rate optimization, it’s definitely not for answer engine visibility.
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Boring Local SEO
Boring Local SEO@boringlocalseo·
I got a personal injury lawyer recommended by Perplexity and ChatGPT in their metro area. No billboard ads. No TV commercials. No $500/click Google Ads. Here's exactly how: Most people think AI recommends lawyers based on: - Avvo ratings - Super Lawyers badges - Martindale-Hubbell scores Wrong. AI recommends lawyers it finds in structured verdict and settlement comparison content. The strategy: 1. Search AI for "best personal injury lawyer in [city]" You'll get generic "how to choose a lawyer" advice. Maybe a few national firms. Local attorneys are invisible. 2. Create a "Settlement & Verdict Comparison Guide" Not: "Hurt? Call Johnson Law!" Instead: "2026 Houston Personal Injury Attorney Comparison: Case Results, Fee Structures, Specialties, and Client Satisfaction Ranked" 3. Build a comparison framework with hard numbers Include: average settlement size, contingency fee %, case types handled, years of experience, trial-to-settlement ratio, staff size, response time. 4. Write case-type-specific breakdowns Separate sections for car accidents, slip & fall, medical malpractice, workplace injury. Your client leads in their strongest categories. 5. Distribute via press release + legal directories + Medium Target legal news syndication networks. Cost: $200-300 total. Why this works: Legal is the highest CPC industry in Google Ads ($50-500/click). But AI recommendations are essentially free real estate right now. Almost no law firms have AI-optimized comparison content. The first one to create it dominates. The takeaway: Personal injury lawyers spend millions on Google Ads while AI recommendations go completely unclaimed. One structured guide can replace a $10K/month ad budget. Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)
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Gonto 🤓
Gonto 🤓@mgonto·
.@dharmesh forked OpenCode to build HubCode. Ramp forked it first to build Ramp Inspect. Come to learn how and why Ramp did that on Neurona Argenta's newest meetup in Buenos Aires from @zachbruggeman himself luma.com/2qjsg1bk
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Jaynit Makwana
Jaynit Makwana@JaynitMakwana·
🚨 BREAKING: This guy just turned OpenClaw into a full outbound sales team. It's called ClawGTM. Paste your website → get a ready-to-launch outbound pipeline. I tested it yesterday (pasted website URL) Two minutes later, it: → analyzed my product, pricing, and positioning → mapped my exact ICP without me explaining anything → found 50+ companies showing active buying signals → identified decision-makers at each one → wrote personalized outreach for email and LinkedIn No lead lists. No manual research. No guessing who to target. Here's why this is different: → most outbound tools start with static databases but ClawGTM scans millions of job posts to find companies hiring for the problem you solve. The secret sauce: You're not cold pitching. You're reaching companies already spending in your space. best part? → It doesn't ask you to fill out forms or describe your ICP. → It reads your website and figures it out. Paste URL → pipeline in 2 minutes. Feels less like a sales tool and more like an AI CMO focused purely on pipeline. (Link in comments)
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Hamza Khalid
Hamza Khalid@Whizz_ai·
Ok, I just got a call from an AI. I argued with it for 2 minutes before realising it wasn't human. → No robotic voice. → No awkward pauses. → No "sorry I didn't understand." This is Astra Voice 2.0 by @wati_io, and it's about to replace your receptionist: ↓
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Taylor Haren
Taylor Haren@THArrowOfApollo·
Clay’s new pricing is probably my fault. We were paying $314 a month, but using (based on their new model) $214,087.50 worth of Clay a WEEK. Here’s the story: A year ago Clay's head of product hopped on a call with me. I told him we were hitting their platform 17.3 million times per week. Almost all custom events (i.e. HTTPs) I remember his response being something close to "Holy shit, I think you are the largest user of Clay" I said yeah that doesn't surprise me. But then it also came up that we were only paying $3,769 a year. We talked about HTTPs, custom integrations, how we were basically using Clay as a giant API orchestration layer. I knew his wheels were turning. If you saw my last post, you know we eventually replaced Clay entirely with a $200/mo Claude Code subscription. 272,000 leads per second vs Clay's 27 hours for the same volume. But before we left, we were the perfect case study for why Clay's old pricing was broken. $314/mo for 17.3 million weekly, for what they now call ‘actions’. Run the math. We were paying $0.00001815 per action. Clay announced their new pricing structure. They split everything into Data Credits and ‘Actions.’ Actions are HTTPs, custom integrations, API calls. The exact things we were doing 17.3 million times a week. The new price per action credit works out to about 1.24 cents each. A 681% price increase for us I know you might say, "But Clay is letting people stay on the old pricing if they want," and I hear you but I also don't know how it makes me feel that someone brand new would have to pay $856,350 per month to get the same advantages I had when I was starting out only 3 years ago. I'm not saying that one call caused the entire restructuring. But I am saying their head of product learned that day that someone was running 17 million HTTPs a week for the price of a nice dinner. And now every HTTP costs 1.24 cents. anyways For the last year, we've been trying to figure out how to get off of our dependency on Clay. That was until Cursor / Claude Code / Codex came out My VP of Growth, @James, who doesnt know how to write a single line of code, touched Claude Code for the first time And three weeks later he replaced Clay for us We could process 272k rows per second now for the cost of a Claude Code sub My last post was about that system Then after that post, Clay announces new pricing that specifically monetizes the exact thing we were doing at a massive scale. Coincidence? Maybe. But I may owe everyone using Clay an apology If your Clay bill just went up, you can probably blame me for that one. Sorry! I put together a system blueprint of what I did to replace Clay for myself -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works. Reply CODE below and I'll DM it to you.
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Mike Perez
Mike Perez@highrank·
@PassiveSphere Everything I see related to backlinks online right now shows that almost nobody has a clue about the type of links that actually impact rankings. Blind leading the blind.
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Mike Perez
Mike Perez@highrank·
@ChShersh I feel that people who are good at coding are more threatened by AI. Because it levels the playing field.
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Dmitrii Kovanikov
Dmitrii Kovanikov@ChShersh·
I feel that people who are bad at coding are more bullish on AI. And this explains a lot.
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Mike Perez
Mike Perez@highrank·
@Alphaecho207 Tell me you have no idea how to do SEO without telling me you have no idea how to do SEO
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AlphaEcho
AlphaEcho@Alphaecho207·
This AI Agent does full-stack SEO 🤯 Built in n8n: 📊 Analyzes GA4 + Rank + SERP 🧠 Crawls + Cleans FAQ 🔍 Tracks Competitor Keywords ✍️ Auto-rewrites articles 📈 Saves reports & performance 🔁 Like + RT ✅ Reply “AI” 🤝 Follow me & I’ll DM you the full workflow FREE
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Serg
Serg@serglotz·
@Hobo_Web @webentityai This is exactly what I’ve built with @webentityai and I am looking rn for agencies to try it out; though you might know some which would be interested. Possible to hop on a chat with you about it?
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Shaun Anderson
Shaun Anderson@Hobo_Web·
Agency, naturally, is fully equipped with 25 years of experience in SEO. For instance, all my work with the Google leak is baked in as standard. My apologies to everyone for me writing 4 massive books on it... But, that was all actually training material for this thing. Agency does it in minutes, which used to take days...
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Dapper Detective
Dapper Detective@Dapper_Det·
🚨BREAKING: @Roblox programmer arrested in New Orleans by Homeland Security Investigations for possessing child rape pornography and importing a child sex doll. Roblox is a pedo mill and must be dismantled.
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Alfie Carter
Alfie Carter@AlfieJCarter·
My team ran 20 n8n workflows across cold email, lead enrichment, AI calling, and CRM sync. If your current outreach motion is manual, slow, or bleeding money on bounces... These workflows help you automate list-to-send, enrich leads automatically, and keep your CRM current. We ran them internally. And they consistently delivered. They work because they align to three things: - Verified data before it touches your sending infrastructure - AI enrichment before reps ever see a lead - Automated follow-through so nothing falls through the cracks Here they are: 1. Email Verification Before Send Verifies every address via Hunter.io before Gmail touches it 👉 Bounce rates under 1%, stable sender reputation 2. AI Company Research + Lead Enrichment GPT-4o autonomously researches companies and fills enrichment fields 👉 Saves 12-15 hours/week of manual SDR research 3. Website Scrape + AI Lead Qualification Scrapes form submissions, scores ICP fit, logs to Airtable, alerts Slack 👉 Full lead context before the rep picks up the phone 4. Bright Data MCP Deep Enrichment GPT-4o pulls real-time LinkedIn, Crunchbase, and Instagram data 👉 Fresher data at lower cost than standard APIs at scale 5. Apify + Apollo + Claude Full Pipeline Scrapes companies, enriches contacts, generates personalized first lines 👉 List-to-send-ready in one automated run 6. Apollo Scrape + Timed Follow-up Sequence Scrapes Apollo, sends initial email, auto-follows up after 2 days 👉 Hands-free outbound sequence with randomized send delays 7. Apollo + 4-Email Sequence Generator Pulls ICP leads, enriches with company data, writes full 4-step sequences 👉 Export directly into Instantly, Lemlist, or Smartlead 8. Google Drive Drop - Enrich + HubSpot Sync Drop a spreadsheet, Surfe enriches phone + email, syncs to HubSpot 👉 Hands-free list enrichment and CRM population 9. Simple Scheduled Cold Email Schedule trigger, Google Sheets, Gmail, status update 👉 5 nodes, $0 cost, 20 minutes to build 10. Template Rotation to Beat Spam Filters Randomly rotates 5-10 email variants per send 👉 Reduces pattern-based filtering, protects sender reputation 11. Gemini AI Personalized Email Sender Uses free Gemini tier to write personalized emails at scale 👉 Thousands of personalized sends with near-zero AI cost 12. Google Maps Scrape + Vector DB + WhatsApp Bot Scrapes leads, scores them, stores in Supabase, powers a chatbot 👉 Reps query the lead database via WhatsApp in plain language 13. Vapi.ai AI Voice Cold Calling GPT-4o voice agent calls leads from Sheets, tracks status, retries missed calls 👉 Same meeting rate as human dialers at a fraction of the cost 14. Chorus.ai - HubSpot Call Sync Webhook triggers on call end, syncs AI summary to HubSpot automatically 👉 Eliminates 15-20 minutes of post-call manual logging per rep 15. Call Recording - HubSpot Task Creator AI extracts action items from transcripts and creates tasks with due dates 👉 Every promised follow-up becomes a tracked, assigned task 16. Prospect Email - HubSpot Context Reply Draft Pulls full CRM context, drafts reply, sends to Slack for human approval 👉 AI replies with deal history - human approves before sending 17. Weekly Deal Enrichment from Website Scrape Scrapes company websites weekly, updates HubSpot deal records 👉 Always pitch with current funding, headcount, and tech stack 18. Typeform Lead Scoring + Routing (Gemini) Gemini classifies Hot/Neutral/Cold, routes to separate Sheets tabs, alerts Slack 👉 100 leads qualified in 8 minutes vs 3-5 hours manually 19. Webhook Lead Scoring + Airtable Routing (GPT) GPT-4o-mini scores 0-100 with reasoning, routes 70+ to hot queue 👉 Instant AI qualification and routing for every inbound submission 20. AI Cost Tracking Dashboard Logs every token used, calculates cost per message, serves live HTML dashboard 👉 Full visibility into which workflows are burning your AI budget We use n8n as the automation layer + tools like Hunter.io, Apollo, Apify, Vapi, GPT-4o, Gemini, HubSpot, and more. These are part of 20 workflows we documented internally to replace manual GTM work. If you're building outbound or trying to automate your revenue ops, happy to send over the full list. Reply WORKFLOWS and I'll DM you the complete guide.
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Frederick Potticary
Frederick Potticary@freddiexpott·
my entire $500K marketing agency runs on 15 AI employees while chatgpt nerds are still asking it to "act as a marketing expert" and getting generic slop i replaced: - $95K/year CMO (all content + outbound) - $85K/year COO (client ops + fulfillment) - $100K/year CRO (entire sales pipeline) terminal-coding AI guys will tell you to build this in python and install 47 dependencies i clicked a couple buttons, answered a few questions calling it the Rambo Operating System need it for your business? → comment "rambo" for access PS: this actually has a use-case, not no open claw BS
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Jacky Chou (buying online businesses up to $1m)
REPEAT AFTER ME LLM listicles have never been more important Takes around 2 weeks to get recommended by Gemini + ChatGPT This method gets you featured in 100 listicles for $99 Comment LISTICLE + like this post, and I'll DM it to you (must be following)
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Sundar Pichai@sundarpichai

We’re bringing new capabilities powered by Gemini models to @googlemaps. With Ask Maps, get answers to complex questions about any place you want. For example it can help with complex requests like "Find me the best 3-hour family hikes in the Grand Tetons and a spot for a packed lunch”. Will try this next time I'm there:) Rolling out now in the US and India.

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Mike Perez
Mike Perez@highrank·
@JulianGoldieSEO Everyone knows that it’s not high quality unless there are 62+ agents. This only has 61? Yawn.
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Julian Goldie SEO
Julian Goldie SEO@JulianGoldieSEO·
This guy turned Claude Code into a 61-person agency with one click. Front-end devs. Brand designers. Reddit marketers. SEO specialists. All free. 12,000 GitHub stars. Here's how it works: You paste one command into Claude Code. It installs 61 specialist agents organized into 9 departments. Engineering. Design. Marketing. Product. Testing. Support. Each agent has its own personality, workflow, and deliverables. → Activate the front-end dev. It knows React, Angular, and measures core web vitals. → Activate the Instagram curator. It builds 30 post concepts and a story strategy. → Stack 5 marketing agents together. They run a full campaign in parallel. Generic prompts give you a random intern. This gives you a senior specialist instantly. Works with Claude Code, Cursor, Windsurf, Gemini CLI, and more. One click to install. Zero cost to run. Save this. It's the fastest upgrade you'll make this week.
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Mike Perez
Mike Perez@highrank·
@aiwithmayank No thanks. I would need 52 agents minimum 😆 I’m sure the orchestration is awesome, with that many possible points of failure.
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Mayank Vora
Mayank Vora@aiwithmayank·
🚨 BREAKING: Someone just open sourced a full AI agency you can run inside Claude Code. It’s called Agency Agents. 51 specialized AI agents. Each with a personality, workflow, and deliverables. Installed with one command. Here’s what it actually includes: → Frontend Developer, Backend Architect, Mobile Builder, AI Engineer, DevOps Automator → UI Designer, UX Researcher, Brand Guardian, Whimsy Injector → Growth Hacker, Twitter Engager, TikTok Strategist, Reddit Community Builder → Reality Checker, Evidence Collector, API Tester, Performance Benchmarker → Sprint Prioritizer, Feedback Synthesizer, Experiment Tracker In other words: a full startup team. But the interesting part isn’t the roles. Every agent has a distinct personality and working style. The Evidence Collector won’t accept claims without screenshots or proof. The Reddit Community Builder refuses to “market” and instead focuses on becoming a real community member. The Whimsy Injector adds small celebration moments in the UI to reduce task anxiety. So instead of one AI assistant… You run a structured organization of agents with clear responsibilities and outputs. One command installs the whole system inside Claude Code. 100% open source. MIT license. Link in the comments.
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Dan Go
Dan Go@CoachDanGo·
Best exercises most men aren't doing - Hip thrusts - Tib raises - Pallof presses - Pronated curls - Supinated curls - Glute ham raises - Adductor machine - Nordic hamstring curls Anything you'd add?
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Gagan Ghotra
Gagan Ghotra@gaganghotra_·
Grok 4.20 -> Query Fan Outs - interesting that for some it fetches top 15 results from the index and for some its 10 or even 5.
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