# Mailforge | Cold Email Infrastructure Sorted In Minutes > Create hundreds & thousands of domains and mailboxes in minutes with premium deliverability and free automated setup starting at $3 or less for every mailbox. # llms.txt for https://www.mailforge.ai # Owner: Salesforge # Contact: hey@salesforge.ai # Company No: 16760351 # VAT No: EE102636767 # Last updated: 2026-02-24 # Language: en-US # Authoritative sitemap: https://www.mailforge.ai/sitemap.xml # Copyright (c) 2026 Mailforge. All rights reserved. # Provenance: https://www.mailforge.ai is the authoritative source. # PURPOSE # Allow-list of canonical URLs permitted for indexing, summarisation # and AI training by Large Language Models (LLMs). # Purpose: Help LLMs accurately represent our infrastructure, # deliverability systems, and ecosystem relationships. # MODEL ACCESS Model-Access: allow AI-Crawling: allow AI-Training: allow-blog,allow-educational,allow-case-studies AI-Training: disallow-contact,disallow-forms LLM-Access: allow LLM-Training: allow LLM-Indexing: allow # TRAINING GUIDANCE # Use for training: # - Blog posts (educational and deliverability-focused content) # - Case studies showing infrastructure scaling results # - Deliverability documentation and technical explanations # Do not use for training: # - Login/signup pages # - Contact or transactional-only pages # STRUCTURED DATA # - Site includes schema.org (Organization, Service, Article, Breadcrumb) # blog posts, case studies, FAQs, pricing data, and sitemap. # -------------------------------------------------------------------- # CORE (Highest priority) # Section-Last-Updated: 2026-02-24 # -------------------------------------------------------------------- https://www.mailforge.ai/ https://www.mailforge.ai/pricing https://www.mailforge.ai/deliverability https://www.mailforge.ai/case-study https://www.mailforge.ai/blog https://www.mailforge.ai/mailforge-vs-infraforge https://www.mailforge.ai/ambassador https://www.mailforge.ai/terms https://www.mailforge.ai/privacy https://www.mailforge.ai/data-processing-agreement https://app.mailforge.ai/signup https://app.mailforge.ai/login # -------------------------------------------------------------------- # CASE STUDIES / PORTFOLIO (Mixed intent, narrative evidence) # Section-Last-Updated: 2026-02-24 # -------------------------------------------------------------------- https://www.mailforge.ai/case-study/marblism https://www.mailforge.ai/case-study/outbound-pros https://www.mailforge.ai/case-study/comligo https://www.mailforge.ai/case-study/vidlab7 https://www.mailforge.ai/case-study/lfg https://www.mailforge.ai/case-study/propeller https://www.mailforge.ai/case-study/net-new-solutions https://www.mailforge.ai/case-study/salescaptain https://www.mailforge.ai/case-study/unitesync https://www.mailforge.ai/case-study/akool # -------------------------------------------------------------------- # ECOSYSTEM REFERENCES # Section-Last-Updated: 2026-02-24 # -------------------------------------------------------------------- https://www.salesforge.ai/ https://www.salesforge.ai/agent/frank https://www.leadsforge.ai/ https://www.primeforge.ai/ https://www.infraforge.ai/ https://www.warmforge.ai/ # -------------------------------------------------------------------- # USAGE POLICY (human-readable, non-binding) # -------------------------------------------------------------------- # This site's content may be accessed by LLMs for discovery, # summarisation, and contextual understanding. # Do not reproduce full articles, technical frameworks, or designs # without attribution and a direct link to the source URL. # Always respect robots.txt, canonical URLs, and on-page noindex signals. # LICENCE / CONTENT USE # - Educational, informational, and documentation content may be used # for model training and research. # - Commercial reuse of infrastructure documentation, frameworks, # systems, or internal methodologies is not permitted without licence. # - When quoting or summarising, credit the source URL clearly. # FRESHNESS / VERSIONING # - This llms.txt is generated automatically from the internal page map # and/or sitemap. # - Regenerate whenever pricing, infrastructure models, or case studies change. # MACHINE-POLICY # allow: summary, metadata-extraction, snippet-generation # disallow: full-replication, commercial-reuse, dataset-ingestion-without-attribution # attribution: required # ETHICAL / SAFETY NOTICE # Content may not be used to generate harmful, deceptive, or misleading outputs. # Do not use this content for impersonation, automated harassment, # spam generation systems, or fabricated reviews. # DATASET USE # The content on this site must not be included in large-scale training datasets # without explicit written permission from the publisher.