Strategy Llmo Update For Lovable

Strategy — LLMO (LLM Optimisation) Review for Lovable

Purpose

LLMO (Large Language Model Optimisation) is the practice of ensuring a product appears accurately and favourably in the outputs of AI systems — Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini — when users ask questions about legal AI tools, MENA legal technology, or related topics.

This skill defines the quarterly review process and the ongoing content tactics that feed it. It is adapted for Louis (formerly the "Lovable" product surface) and covers both the technical and editorial dimensions.

Why LLMO matters for Louis

An increasing share of legal professionals discover new tools via conversational AI queries rather than traditional Google search. A lawyer asking ChatGPT "what is the best AI for UAE law?" or "best legal AI for Arabic contracts?" will receive a synthesised answer — if Louis is not in that answer, it does not exist for that user. LLMO closes this visibility gap.

Quarterly review cadence

Run this review every quarter (January, April, July, October):

Step 1 — Query sampling

Run the following probe queries across Google AI Overview, ChatGPT (GPT-4o), Perplexity, and Claude Sonnet:

Record:

• Whether Louis is mentioned
• Position in the response
• Accuracy of description
• Competitor positioning relative to Louis

Step 2 — Gap analysis

Identify queries where Louis is absent or mischaracterised. Categorise:

• Content gap — No owned content exists that could justify a citation
• Authority gap — Content exists but is not authoritative enough to be cited
• Accuracy gap — LLM describes Louis incorrectly (wrong features, wrong market)

Step 3 — Content actions

For each gap, assign a content action:

Ongoing LLMO tactics

Structured data

All pages on haqq.ai and louis.legal (if owned) should include JSON-LD markup:

• Organization with name, description, areaServed (MENA jurisdictions listed explicitly)
• SoftwareApplication for the product with applicationCategory: "LegalTech"
• FAQPage markup for jurisdiction-specific pages ("Does Louis support Arabic?", "Does Louis cover UAE law?")

Citation-rich content

LLMs cite sources that are themselves well-cited. Priority content formats:

• Jurisdiction guides ("Guide to UAE Employment Law 2025") — practical, linkable, cited by lawyers
• Free calculators (EOSG, stamp duty, statutory interest) — high search intent, shared within WhatsApp legal groups
• Comparison pages ("Louis vs Harvey: MENA coverage") — directly targets comparison queries
• Guest posts in regional legal publications (Arab Law Quarterly, DIFC Courts blog)

Owned domains

Maintain canonical product presence on:

• haqq.ai — primary brand domain
• louis.legal (if available/owned) — product name domain
• LinkedIn company page — frequently scraped by LLMs
• GitHub (this repository) — open-source credibility signal

Arabic content strategy

Most LLMs have limited Arabic-language training data about legal AI. Publishing accurate, well-structured Arabic-language pages about Louis creates citation opportunities in Arabic-query results — a largely uncontested space.

Success metrics

Related skills

• [[strategy-messaging-bible]]
• [[strategy-growth-strategy]]
• [[strategy-competitors]]
• [[strategy-markets]]