Daniel Lozano

Extract TikTok videos, hashtags, profiles, comments, sounds, and search results with automated lead, viral, and brand fit scoring.

Audits public ad landing pages and campaign pages for missing proof, weak offer clarity, poor CTA alignment, and creative testing gaps.

Ranks business website prospects by reachable contact data, CTA gaps, website weakness, and improvement potential.

Audits public OpenAPI specifications for AI suitability and automatically generates run-ready typescript/python Model Context Protocol (MCP) server code packages.

Extracts factual claims from public web articles or raw text, checks them against Google Search facts, and rewrites the content to be fully verified with sources.

Audits local business websites for conversion readiness, lead-capture gaps, trust signals, and sales opportunity scoring.

Scores company websites for buying intent, urgency signals, budget hints, growth triggers, and sales outreach angles.

Crawls a business website and landing pages to audit all text against a provided Brand Guidelines document, scoring brand consistency and tone alignment.

Clones a target Git repository, runs Cairn migration parser to stage codebase concepts, structures relationship contexts with evidence, and packages output concepts as a zip file.

Tracks competitor website changes in pricing, promos, packages, service pages, menus, and calls to action.

Scores creator or influencer pages for brand safety, niche fit, sponsorship readiness, contactability, and likely campaign value.

Performs multi-step academic and patent database queries to compile structured technology summaries, key claims, and market briefs.

Finds ecommerce pages where discounts, shipping promises, return policies, price-match copy, or stock messages may leak margin.

Analyzes ecommerce websites and identifies conversion, trust, merchandising, checkout, and revenue-opportunity gaps for sales and CRO outreach.

Audits franchise and multi-location pages for missing phone numbers, booking CTAs, local offers, trust proof, hours, and service-area copy.

Turns Google Maps business websites and exported prospect lists into ranked local leads with contactability, conversion gaps, and pitch-ready outreach angles.

Translates breakout queries from Google Trends into fully structured, competitor-researched blog briefs and content outlines.

Ranks company and job pages by hiring urgency, department growth, vendor need, and outreach angles for B2B sales teams.

Cleans, format-normalizes, dedupes, and prioritizes raw scraped lead lists using sandboxed data engineering routines and domain enrichment.

Identifies missing online booking, quote forms, online ordering, menus, review links, and lead capture.

Extracts service pages and creates structured briefs about services offered, pricing visibility, CTAs, service areas, and content gaps.

Scrapes e-commerce store feeds to act as a recommendation engine, outputting personalized product suggestions based on user profiles or queries.

Finds businesses with weak review-link visibility and missing reputation conversion assets.

Finds competitor, alternative, comparison, and migration-page opportunities from SaaS websites and turns them into SEO briefs.