Anyword vs LILT

Anyword is an AI copywriting platform for marketing teams, built around predicting which copy will perform before it is published. The company began in 2013 as Keywee, a New York and Tel Aviv startup that optimised social ad campaigns for publishers, and relaunched in March 2021 as Anyword after years of collecting ad performance data. Its core job is generating ads, emails, landing pages and social posts and scoring each variation for likely engagement or conversion.

Every piece of copy gets a Predictive Performance Score from 0 to 100 based on audience, channel and goal, and the editor updates predictions as you edit. Brand Voice stores tone, audiences and guidelines; Blog Wizard drafts long-form posts with a plagiarism check. Business and Enterprise tiers add custom models trained on your past copy, content intelligence against Anyword's A/B test dataset, automated website messaging tests and a Performance API that feeds predictions into your own AI agents. Self-serve plans start at $49 a month with a 7-day trial.

Anyword fits performance marketers and agencies that test lots of ad and email variants and care about conversion more than prose. It is pricier than general AI writers, prediction quotas are tight on lower plans, and the best features sit in custom-priced tiers. Jasper is stronger for brand-wide content operations, Copy.ai for GTM workflows, and ChatGPT alone is cheaper for occasional copy.

Anyword now positions itself as LLM-agnostic: its API and Chrome extension add performance scoring on top of ChatGPT, Gemini and Notion.

LILT is an enterprise translation and localization platform from San Francisco, founded in 2015 by Spence Green and John DeNero, NLP researchers from Stanford and Berkeley. It began with adaptive machine translation that learns from each linguist edit and has since become an agentic AI platform that routes content through AI models and, where needed, human subject-matter experts. Customers include Canva, Intel, Lenovo and US defence agencies.

The platform is split into modules: Translate for projects, Assist for AI agents that automate review and workflows, Verify for accuracy checks, Connect for integrations and an MCP server that brings LILT translation into ChatGPT, Claude and Gemini. It connects to more than 100 systems such as Contentful, AEM, Salesforce and Zendesk, and can run LILT's own models or a customer's LLM. Certifications cover SOC 2 Type II, ISO 9001 and ISO 17100, with private, on-prem and air-gapped deployment. Business, Enterprise and Government plans are all quote-based.

LILT fits large companies and public bodies that translate high volumes of product, support and marketing content and need quality guarantees or strict data control. It has no self-serve plan or public pricing, so it is overkill for small sites. Smartling is a broader translation management system with a vendor marketplace, Phrase offers self-serve TMS tiers, and DeepL is the cheap option for raw machine translation without human review.

LILT raised a Series D in mid-2025. Buying tip: ask how human review is priced versus platform fees, since MCP usage is quoted separately.