GEO coverage for the AI engines your buyers already ask.
Answer engines, frontier LLMs, AI search products, and regional models — individual optimisation paths for each model family.
Individual optimisation paths for each model family
Each card shows the model surface, the GEO angle we prioritise, and the signal type we tune for citation readiness.
ChatGPT
Answer engineOptimise source pages, entity signals, FAQs, and comparison content so ChatGPT can retrieve and cite your brand for buyer prompts.
Claude
Frontier LLMBuild high-context pages with clear reasoning paths, trustworthy evidence, and answer-ready sections for Claude-style synthesis.
Google AI Overviews
Search surfaceImprove eligibility for AI Overviews with crawlable expertise pages, schema, internal links, and search-grounded topical authority.
Gemini
Google LLMAlign content depth, entity structure, and product/service context for Gemini responses across research and commercial prompts.
Grok
Social AIStrengthen freshness, brand facts, citations, and topical positioning for fast-moving AI answers influenced by real-time context.
Perplexity
Citation searchStructure pages as citation-worthy sources with concise answers, clear headings, trusted references, and extractable proof points.
Copilot
AI assistantOptimise search-indexed pages, schema, and source consistency for Copilot answers across Microsoft and Bing discovery surfaces.
Qwen
Regional LLMPrepare multilingual, market-specific brand content and product data for Asian-market retrieval and answer generation patterns.
DeepSeek
Reasoning modelCreate technically clear source pages, structured explanations, and comparative evidence for reasoning-led recommendation prompts.
Kimi
Long contextOptimise long-form resources, documentation, and decision guides so extended-context models can interpret your proposition accurately.
GLM
Regional LLMClarify entities, markets, translations, and authoritative source pages for Chinese and international AI answer surfaces.
MiniMax
Multimodal LLMImprove brand and product retrievability with structured descriptions, media context, service summaries, and clear proof signals.
Mistral
Open modelBuild compact, factual, machine-readable pages that make your expertise easier for open-model ecosystems to retrieve.
Cohere
Enterprise AISupport enterprise retrieval workflows with structured knowledge pages, definitions, category authority, and repeatable source data.
AI21 Jamba
Enterprise LLMOptimise decision-support content with crisp summaries, product differentiation, FAQs, and source sections for hybrid model retrieval.
NVIDIA Nemotron
Enterprise AIPrepare technical and enterprise-grade source material for high-accuracy AI workflows, industry prompts, and solution comparisons.
Amazon Nova
Cloud AIMake product and service data easier to interpret for AWS-aligned AI workflows, enterprise discovery, and category research prompts.
Phi-4
Small modelUse concise, unambiguous answer blocks and structured page sections that smaller models can parse and reuse reliably.
IBM Granite
Enterprise AIStrengthen enterprise credibility, governance content, technical documentation, and industry-specific proof for IBM AI workflows.
Sarvam AI
Regional LLMSupport India-market AI visibility with multilingual signals, localised service pages, clear entities, and market-specific FAQs.
TII UAE Falcon
Regional LLMImprove visibility for Middle East and global prompts through multilingual source pages, entity consistency, and sector authority.
Baidu Ernie
Regional LLMPrepare brand, product, and service information for Chinese-language retrieval with clean entity structure and localised content.
One GEO system, many AI behaviours.
We do not treat every LLM as if it retrieves and cites sources the same way. We map buyer prompts, test model responses, inspect citation gaps, and strengthen the pages most likely to become trusted sources. The work covers schema, page structure, answer extraction, E-E-A-T signals, content completeness, entity consistency, internal linking, and technical crawlability.
Prompt map
Model-specific buyer questions and comparison prompts.
Source audit
Which pages AI engines can trust, extract, and cite.
Structured upgrade
Schema, answer blocks, entity clarity, and internal links.
Measure and iterate
Citation tests, visibility scoring, and refinement cycles.
Optimisation guides by engine
How each engine cites sources, what it values, and the checklist to win its answers.
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