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- Want AI Traffic? Here's the Exact Stack We'd Use Today
Want AI Traffic? Here's the Exact Stack We'd Use Today
3 high-impact tactics, tools, and plays to launch smarter this week. The stack we’re using, the play we’d run today, and the prompt that pulls secrets from startups.
1. Real Talk
GEO & AEO need to be part of your search strategy. Google still matters, but AI-first tools are capturing real traffic (and leads).
Data talks:
AI chatbots like ChatGPT, Gemini, Perplexity combined draw 160 million daily active users in early 2025.
In the U.S., ~13 million people now prefer AI chat over Google, expected to climb to 90 million by 2027.
Gartner forecasts 25% of traditional search volumes will shift to AI by 2026.
Add FireGEO + llm.txt to capture AI-First traffic. Here’s How?
Set up FireGEO:
Monitors dozens of AI bots, ChatGPT, Perplexity, and Gemini. like Semrush for AI.
Generate llm.txt files at scale:
Converts each page into AI-consumable format; Firecrawl alpha endpoint generates this in seconds.
Track leads from AI crawls:
Use Split.dev to tag AI visits into your CRM. It currently detects 25+ AI platforms.
3 quick ways to optimize pages this week:
AI snippet snipe –
Add 5–7 Q&A blocks per page (short Q: A: answers under 40 words).
→ Increases GEO visibility by ~15–30%.
Structured FAQ insert –
Roll out 3–5 AI-friendly question-answer pairs where visitors ask directly (think “How do we…”).
→ Boosts chance of being cited via AEO.
AI sitemap file –
Create an
ai-sitemap.xml
with 10–20 GEO-targeted pages.→ AI bots crawl more pages when listed in a specialized sitemap.
Tool | What It Does | Best For |
---|---|---|
Warmly | Deanonymizes site visitors using firmographic & intent data. | SMB → Mid-market B2B teams |
TrafficID | Converts anonymous visitors into named leads with behavior timelines, no forms. | Small → Mid-market businesses |
Clearbit Reveal | Enriches IP/email hits instantly to shorten forms & boost conversion rates. | Mid-market → Enterprise |
6sense | Combines on-site de-anonymization with external intent data to surface buyers. | Enterprise ABM programs |
Use this teardown prompt in your next Company Research or GTM case study, structured to pull non-obvious, repeatable growth strategies.
I want to conduct an in-depth, investigative analysis of [Company Name] (Twitter/X: @[handle], LinkedIn: [LinkedIn page]) and how they have scaled and executed growth across X (Twitter), Reddit, Instagram, LinkedIn, YouTube, and even platforms like TikTok.
I have [X]+ years of experience in the [industry or ecosystem] space, so I’m seeking expert-level, unorthodox, and highly actionable GTM insights, tangible frameworks, and non-obvious tactics—not generic advice. I am currently building [Startup Name], which [describe what the startup does concisely: e.g., ‘delivers GTM strategy and execution for AI-first startups’, or ‘builds developer tools for SaaS companies’, etc.]. My objective is to extract both conventional and unconventional playbooks, deep-dive into founder/insider moves, and translate them into implementable strategies for my business.....
NOTE: This is not the full prompt. Click Below to get full Prompt
For Full Prompt, Click here!
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