Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth -
Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth - Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth -
Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth -
Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth - Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth -
Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth -
Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth - Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
All engagements delivered by Parsability, a practice of AI Central Services Limited — platform-agnostic, HK-registered, and the operating layer for Hong Kong and APAC.
Start with a conversation
If a pilot might be right for your brand, a 30-minute scoping call is the place to begin. No pitch.
Pricing
Every engagement runs the same pilot. The tier sets volume, depth, and cadence.
Engagement Tiers
pricing
Essentials - Foundation
HK$15,000
/month
After HK$25,000 setup
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Monthly citation monitoring
Quarterly review
Growth -
Most selected
HK$25,000
/month
After HK$35,000 setup
Everything in Essentials
8 information-gain pages per quarter
Active off-page seeding (Reddit, niche forums, HK publications)
Bi-weekly review
Slack / email support
Monthly competitive benchmark
Authority - Category leader
HK$35,000
/month
After HK$50,000 setup
Everything in Growth
12 information-gain pages per quarter
Dedicated PR partner for tier-1 placements
Weekly review
Priority support
Quarterly executive briefing
Custom AI-citation tracking
Flexible & Dedicated
All tiers are month-to-month after initial setup.
Supporting Products
fixed scope
AI Citation Micro-Audit
Starting point for every engagement.
HK$8,000 · 7-day fixed-scope
Schema & Entity Sprint
Standalone foundation-laying.
HK$15,000 · 2-week intensive
AI Search Workshop
For in-house marketing teams.
HK$12,000 · Half-day session
Citation Rescue
For brands with AI misinformation or negative citations.
From HK$20,000 · Scoped per engagement
Common Questions
faq
What is AEO / GEO and how is it different from SEO?
AEO / GEO optimises for AI citation — being named, quoted, or referenced when AI systems answer buyer questions. Different signals (information gain vs. keyword density), different mechanics (entity extraction vs. backlink authority), different measurement (citation frequency and Share of Voice vs. SERP position).
How do you know if my brand is being cited by AI right now?
50–100 high-intent buyer prompts run across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Audit returns a written baseline mapping your current citation footprint and the gaps where competitors are cited instead.
How fast can I expect results?
Unlike traditional Google indexing cycles, AEO / GEO impacts can materialise in days. When we inject high-intent information-gain assets or update structured technical docs, an engine can pick up and cite the new content within 48–72 hours.
What is query fan-out and how does it change content strategy?
Query fan-out is the mechanism AI engines use to break one buyer prompt into 8–12 sub-queries, retrieve in parallel, and synthesise a single answer using Reciprocal Rank Fusion. Three implications: the optimisation unit is the passage, not the page; topical cluster coverage beats single-page perfection; the labelled proprietary concept is a recurring citation target across sub-queries.
What is LLMs.txt and do I need one?
LLMs.txt is a Markdown file at the root of your domain (yourdomain.com/llms.txt) that gives AI engines a curated, machine-readable index of your most important content. Proposed by Jeremy Howard (Answer.AI) in September 2024; broadly adopted through 2026. Format: one H1, one blockquote, 4–7 H2 sections with annotated links. Yes, you need one. Parsability ships a baseline LLMs.txt in 48 hours.
Anything left out?
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