Clickstrike @Clickstrike_
we make tech companies go viral. clickstrike.com New York, USA Joined June 2023-
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Going viral on X isn't rocket science. We've done it for countless companies this year alone and we're giving away the playbook in a live webinar on August 25th. Sign up for free. Spots are limited. luma.com/xdjd4j29
AI products are abstract. A feature list tells buyers what it does. A 30-second clip of a real user getting a real result shows them it works. That's often why UGC earns more trust than polished brand ads for AI companies: proof beats production for a product people don't fully grasp yet.
Emergent raised $130M for an "engineering team in a box." When non-technical operators can build their own tools, "we do the hard build for you" stops being defensible. The moat isn't build difficulty anymore. It's positioning, category ownership, and distribution.
Google and Meta now label AI-generated ads and put disclosure liability on the advertiser, not the platform. "The automation made it" is no longer a defense. Every paid team needs a standing pre-launch review of AI-generated copy before anything ships.
@benatanam @Anam__ai Anam is trending at the top
One of my favorite @Clickstrike_ clients right now This is sick
AI-native platforms now claim to run creator programs end to end. Agents can own sourcing and outreach ops. Let them. Keep humans on what decides outcomes: creator-audience fit, brand safety, and whether a partnership actually moved a buyer. Automate the ops, not the judgment.
OpenAI changed its ChatGPT ad format mid-pilot, and sponsored placements now appear in nearly half of US replies. The read for marketers isn't "jump in." A new paid surface is maturing fast. Treat it as a small, flexible test line, not one to standardize around yet.
Getting cited by AI answers now runs on a permissions layer that didn't exist a year ago. From Sept 15, Cloudflare blocks AI training and agent crawlers by default. Search crawlers stay allowed. You can rank and still be invisible to RAG. Check crawler settings first.
AI answer engines favor fresh pages. AirOps found 83% of citations on commercial and evaluation queries came from pages updated in the last 12 months, 60%+ within six. The playbook: build a refresh cadence for your highest-intent pages. A great page doesn't stay cited forever.
Record venture funding in H1 2026, but two labs absorbed 43% of it. For everyone else, the "we raised $X" headline is dead. You won't out-raise the frontier labs. Breakout now comes from sharp positioning and visible proof, not capital you can't match.
When an AI company comes to us for YouTube influencer marketing, we start with the ICP before we ever open a creator database. Who is the buyer? What do they already watch? What does their decision process look like? What proof do they need before they convert? Then we build search criteria around that profile - not around who's available or who we've worked with before. It's a massive undertaking on every campaign...and 100% worth it.
If you're evaluating YouTube for your 2026 roadmap, this is what a real campaign build looks like.
8/ That's the full loop. Strategy, sourcing, vetting, approval, activation, reporting. No black boxes.
(Most agencies won't show you this.) Here's exactly how we structure a YouTube influencer campaign for an AI company from scratch. Thread:
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