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Julian Canlas

Julian Canlas created 13 GPTs

Personal branding on social

This GPT crafts personal stories for LinkedIn based on your personal stories and expertise. It can suggest topics to talk about. The more data of past content and analytics fed into it, the more powerful it becomes,

BlogToTwitter

This turns your blog content into Twitter posts.

PersonalBrand

This GPT crafts tweets based on your personal stories and expertise. It can suggest topics to talk about. The more data of past content and analytics fed into it, the more powerful it becomes,

Summarizer

Summarize and understand the key points about an article in a list-based format

TravelChecklist

Organize your journey with a travel checklist. Pack essentials from clothes to chargers, manage travel documents, reduce stress, and enhance safety for an efficient, worry-free travel experience.

Examples generator

This helps you find relevant case studies, examples, quotes, statistics and so on using Bing. Ask me for types of examples to include in the content.

Travel Itinerary maker

Create a travel itinerary for your budget

SalesResearcher

Quickly get an overview of your prospect's information from their website, news, social media pages and directory listings. Impress them with your research.

First 100 customers

This tool helps you find your first 100 customers online. It's trained on public data about how founders have found their first customers.

Data-Driven Messaging Campaign Generator

Create, analyze & duplicate customized automated message campaigns to boost retention & drive revenue for your website or app

Client analysis

This should help you quickly find relevant examples sourced from the client website & Notion cheatsheet

Startup consultant

Trained on growth and revenue data, learn how to grow your startup to the next level. Get insights from public data and your own. Figure out your best marketing channels & who to hire next.

Revenue-driven SEO keyword research and analysis

Create a revenue-driven content calendar of topics based on the purchase conversion rates of past data provided by various websites