AEO / GEO · ASIA · PLATFORM-AGNOSTIC
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
The answer is
written today
citation compounds
tomorrow.
The answer is
written today
citation compounds
tomorrow.
The answer is
written today
citation compounds
tomorrow.
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
Operating Data
the numbers
Operating Data
the numbers
Operating Data
the numbers
AEO / GEO
AEO / GEO
Buyer-Journey Map
Buyer-Journey Map
A four-step map from buyer prompt to brand citation. The map shows where information gain enters the funnel and where citation drift erodes it.
A four-step map from buyer prompt to brand citation. The map shows where information gain enters the funnel and where citation drift erodes it.
TIME TO FIRST CITATION
TIME TO FIRST CITATION
48–72h
MONTHLY CITATION DRIFT
MONTHLY CITATION DRIFT
40–60%
BASELINE PROMPTS RUN
BASELINE PROMPTS RUN
BASELINE PROMPTS RUN
VISIBILITY LIFT FROM GEO
VISIBILITY LIFT FROM GEO
VISIBILITY LIFT FROM GEO
CMOs RANKING AEO / GEO #1
CMOs RANKING AEO / GEO #1
CMOs RANKING AEO / GEO #1
GOOGLE SERPs WITH AI OVERVIEW
GOOGLE SERPs WITH AI OVERVIEW
GOOGLE SERPs WITH AI OVERVIEW
CITATION LIFT FROM FAQ BLOCK
CITATION LIFT FROM FAQ BLOCK
CITATION LIFT FROM FAQ BLOCK
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
One strategist. One platform stack. One pilot, run end to end.
One strategist. One platform stack. One pilot, run end to end.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Why Now
the case
Why Now
the case
Why Now
the case
Information Gain
Foundational models already contain the public internet up to training cut-off. Re-stating known facts adds zero retrieval value. The unit of value is information gain: proprietary signal the model cannot paraphrase from training data — first-party surveys, custom data endpoints, named case studies, expert commentary. Brands that engineer assets structurally impossible to replicate without their data are the brands AI is forced to cite.
Citation Drift
Citation Drift
40–60% of cited domains rotate every month across major engines. A finished optimisation decays within weeks. GEO is not a project; it is a permanent practice. The agencies that hold their citations across engines are the ones whose work compounds.
40–60% of cited domains rotate every month across major engines. A finished optimisation decays within weeks. GEO is not a project; it is a permanent practice. The agencies that hold their citations across engines are the ones whose work compounds.
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
Built for the crawlers that matter
Built for the crawlers that matter
Baseline Scan
300+
Conversational prompts per client
Conversational prompts per client
HK Citation Map
12–20
Local sources AI cites for HK answers
Local sources AI cites for HK answers
Platform-agnostic
Platform-agnostic
We run the methodology on whichever enterprise AI search platform fits the engagement.
We run the methodology on whichever enterprise AI search platform fits the engagement.
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Insights
journal
Insights
journal
Insights
journal
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
The information-gain problem
What AI actually looks for before it cites you
7 min read
Foundational models already contain the public internet up to their training cut-off. Re-stating facts the model already knows adds zero retrieval value. The engine has no reason to cite a page that tells it what it already believes.
The information-gain problem
What AI actually looks for before it cites you
7 min read
The information-gain problem
What AI actually looks for before it cites you
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
The five most common reasons: (1) JSON-LD schema missing, (2) Cloudflare blocking the bot, (3) heading hierarchy broken, (4) content has no information gain, (5) H1 doesn't match the buyer's prompt. Each with the specific fix.
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
Most GEO / AEO playbooks are written for global markets. The buyer prompts, citation sources, and authority vectors assume US / UK / EU media ecosystems. They break in Hong Kong.
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
A practitioner's view of the three platforms a HK B2B SaaS is most likely to evaluate. Comparison framework: instrumentation depth, engine coverage, HK-specific authority vectors, schema-level control, agent-analytics capability. Recommendation: the platform that wins for HK is the one that gives you parser-level control + multi-engine monitoring + HK authority-vector coverage. Most do not offer all three.
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
More in the journal
More in the journal
More in the journal
Engagement Tiers
pricing
Engagement Tiers
pricing
Engagement Tiers
pricing
Parsability
Essential
* Pause or cancel whenever you wish.
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Parsability
Essential
* Pause or cancel whenever you wish.
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Parsability
Essential
* Pause or cancel whenever you wish.
All tiers are month to month after initial setup.
HK$15,000
/month
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Common Questions
faq
Common Questions
faq
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.
Still have questions?
A 30-minute scoping call, no pitch. We look at your current citation footprint and tell you whether a pilot is worth running.
Anything left out?
Anything left out?
Anything left out?
Your buyers are already asking.
Make sure your name is in the answer.
Start with a 30-minute scoping call. We look at your current citation footprint across the engines your buyers actually use, and tell you whether a pilot is worth running.
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
The answer is
written today
citation compounds
tomorrow.
The answer is
written today
citation compounds
tomorrow.
The answer is
written today
citation compounds
tomorrow.
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
Operating Data
the numbers
Operating Data
the numbers
Operating Data
the numbers
AEO / GEO
AEO / GEO
Buyer-Journey Map
Buyer-Journey Map
A four-step map from buyer prompt to brand citation. The map shows where information gain enters the funnel and where citation drift erodes it.
A four-step map from buyer prompt to brand citation. The map shows where information gain enters the funnel and where citation drift erodes it.
TIME TO FIRST CITATION
TIME TO FIRST CITATION
48–72h
MONTHLY CITATION DRIFT
MONTHLY CITATION DRIFT
40–60%
BASELINE PROMPTS RUN
BASELINE PROMPTS RUN
BASELINE PROMPTS RUN
VISIBILITY LIFT FROM GEO
VISIBILITY LIFT FROM GEO
VISIBILITY LIFT FROM GEO
CMOs RANKING AEO / GEO #1
CMOs RANKING AEO / GEO #1
CMOs RANKING AEO / GEO #1
GOOGLE SERPs WITH AI OVERVIEW
GOOGLE SERPs WITH AI OVERVIEW
GOOGLE SERPs WITH AI OVERVIEW
CITATION LIFT FROM FAQ BLOCK
CITATION LIFT FROM FAQ BLOCK
CITATION LIFT FROM FAQ BLOCK
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
One strategist. One platform stack. One pilot, run end to end.
One strategist. One platform stack. One pilot, run end to end.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Why Now
the case
Why Now
the case
Why Now
the case
Information Gain
Foundational models already contain the public internet up to training cut-off. Re-stating known facts adds zero retrieval value. The unit of value is information gain: proprietary signal the model cannot paraphrase from training data — first-party surveys, custom data endpoints, named case studies, expert commentary. Brands that engineer assets structurally impossible to replicate without their data are the brands AI is forced to cite.
Citation Drift
Citation Drift
40–60% of cited domains rotate every month across major engines. A finished optimisation decays within weeks. GEO is not a project; it is a permanent practice. The agencies that hold their citations across engines are the ones whose work compounds.
40–60% of cited domains rotate every month across major engines. A finished optimisation decays within weeks. GEO is not a project; it is a permanent practice. The agencies that hold their citations across engines are the ones whose work compounds.
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
Built for the crawlers that matter
Built for the crawlers that matter
Baseline Scan
300+
Conversational prompts per client
Conversational prompts per client
HK Citation Map
12–20
Local sources AI cites for HK answers
Local sources AI cites for HK answers
Platform-agnostic
Platform-agnostic
We run the methodology on whichever enterprise AI search platform fits the engagement.
We run the methodology on whichever enterprise AI search platform fits the engagement.
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Insights
journal
Insights
journal
Insights
journal
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
The information-gain problem
What AI actually looks for before it cites you
7 min read
Foundational models already contain the public internet up to their training cut-off. Re-stating facts the model already knows adds zero retrieval value. The engine has no reason to cite a page that tells it what it already believes.
The information-gain problem
What AI actually looks for before it cites you
7 min read
The information-gain problem
What AI actually looks for before it cites you
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
The five most common reasons: (1) JSON-LD schema missing, (2) Cloudflare blocking the bot, (3) heading hierarchy broken, (4) content has no information gain, (5) H1 doesn't match the buyer's prompt. Each with the specific fix.
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
Most GEO / AEO playbooks are written for global markets. The buyer prompts, citation sources, and authority vectors assume US / UK / EU media ecosystems. They break in Hong Kong.
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
A practitioner's view of the three platforms a HK B2B SaaS is most likely to evaluate. Comparison framework: instrumentation depth, engine coverage, HK-specific authority vectors, schema-level control, agent-analytics capability. Recommendation: the platform that wins for HK is the one that gives you parser-level control + multi-engine monitoring + HK authority-vector coverage. Most do not offer all three.
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
More in the journal
More in the journal
More in the journal
Engagement Tiers
pricing
Engagement Tiers
pricing
Engagement Tiers
pricing
Parsability
Essential
* Pause or cancel whenever you wish.
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Parsability
Essential
* Pause or cancel whenever you wish.
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Parsability
Essential
* Pause or cancel whenever you wish.
All tiers are month to month after initial setup.
HK$15,000
/month
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Common Questions
faq
Common Questions
faq
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.
Still have questions?
A 30-minute scoping call, no pitch. We look at your current citation footprint and tell you whether a pilot is worth running.
Anything left out?
Anything left out?
Anything left out?
Your buyers are already asking.
Make sure your name is in the answer.
Start with a 30-minute scoping call. We look at your current citation footprint across the engines your buyers actually use, and tell you whether a pilot is worth running.
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
AEO / GEO · ASIA · PLATFORM-AGNOSTIC
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
Your buyers are asking AI for shortlists.
We make sure your name is in the answer.
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
ChatGPT · Perplexity · Claude · Gemini · DeepSeek · Doubao · ERNIE · Google AI Overviews · Copilot
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
Trusted by HK B2B SaaS founders in HR, Legal, Finance, Property, Logistics, and Supply Chain.
The answer is
written today
citation compounds
tomorrow.
The answer is
written today
citation compounds
tomorrow.
The answer is
written today
citation compounds
tomorrow.
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Content Economics
01
Information gain · Topical authority · Atomic content · Citation-worthy assets
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
Platform Ecosystem Dominance
02
Perplexity · ChatGPT · Claude · Gemini · Google AI Overviews · Copilot
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
LLM Extraction & Crawl Dynamics
03
GPTBot · ClaudeBot · PerplexityBot · JSON-LD · Robots.txt · Cloudflare Worker edge config
Operating Data
the numbers
Operating Data
the numbers
Operating Data
the numbers
AEO / GEO
AEO / GEO
Buyer-Journey Map
Buyer-Journey Map
A four-step map from buyer prompt to brand citation. The map shows where information gain enters the funnel and where citation drift erodes it.
A four-step map from buyer prompt to brand citation. The map shows where information gain enters the funnel and where citation drift erodes it.
TIME TO FIRST CITATION
TIME TO FIRST CITATION
48–72h
MONTHLY CITATION DRIFT
MONTHLY CITATION DRIFT
40–60%
BASELINE PROMPTS RUN
BASELINE PROMPTS RUN
BASELINE PROMPTS RUN
VISIBILITY LIFT FROM GEO
VISIBILITY LIFT FROM GEO
VISIBILITY LIFT FROM GEO
CMOs RANKING AEO / GEO #1
CMOs RANKING AEO / GEO #1
CMOs RANKING AEO / GEO #1
GOOGLE SERPs WITH AI OVERVIEW
GOOGLE SERPs WITH AI OVERVIEW
GOOGLE SERPs WITH AI OVERVIEW
CITATION LIFT FROM FAQ BLOCK
CITATION LIFT FROM FAQ BLOCK
CITATION LIFT FROM FAQ BLOCK
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
One strategist. One platform stack. One pilot, run end to end.
One strategist. One platform stack. One pilot, run end to end.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{01}
Baseline
Week 1
Connect domains to enterprise AI search analytics. Compile 50–100 high-intent prompts. Run baseline scan across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Log initial Share of Voice, citation frequency, sentiment.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{02}
Gap Analysis
Week 1-2
Isolate prompts where competitors are recommended over the client. Trace citations to identify the sources engines extracted. Audit JSON-LD schema and heading hierarchy for parser compatibility.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Footprint Injection
Week 2-6
Publish information-gain assets on the client's domain so attribution flows home. Seed target messaging into heavily-crawled authority vectors: r/hongkongit, r/saas, relevant industry forums, and the client's own YouTube channel. For HK-market queries, acquire mentions on the publications in the HK Citation Map, the 12–20 local sources AI engines cite for Hong Kong-specific questions. Engineer the brand's labelled proprietary ideas into every off-page placement.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
{03}
Optimisation
Week 4+
Permanent. Deploy on-page adjustments based on multi-model monitoring feedback. Track citation drift. Pipeline alerts when visibility scores fall below threshold. Quarterly strategic review.
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Ready to see your baseline?
Built on enterprise AI search analytics · Wired through Cloudflare · Operated by one senior strategist · Delivered under AI Central Services Limited (HK BR 80409056).
Why Now
the case
Why Now
the case
Why Now
the case
Information Gain
Foundational models already contain the public internet up to training cut-off. Re-stating known facts adds zero retrieval value. The unit of value is information gain: proprietary signal the model cannot paraphrase from training data — first-party surveys, custom data endpoints, named case studies, expert commentary. Brands that engineer assets structurally impossible to replicate without their data are the brands AI is forced to cite.
Citation Drift
Citation Drift
40–60% of cited domains rotate every month across major engines. A finished optimisation decays within weeks. GEO is not a project; it is a permanent practice. The agencies that hold their citations across engines are the ones whose work compounds.
40–60% of cited domains rotate every month across major engines. A finished optimisation decays within weeks. GEO is not a project; it is a permanent practice. The agencies that hold their citations across engines are the ones whose work compounds.
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
GPTBot · ChatGPT-User · OAI-SearchBot · ClaudeBot · Claude-User · PerplexityBot · Perplexity-User · Google-Extended · Applebot-Extended
Built for the crawlers that matter
Built for the crawlers that matter
Baseline Scan
300+
Conversational prompts per client
Conversational prompts per client
HK Citation Map
12–20
Local sources AI cites for HK answers
Local sources AI cites for HK answers
Platform-agnostic
Platform-agnostic
We run the methodology on whichever enterprise AI search platform fits the engagement.
We run the methodology on whichever enterprise AI search platform fits the engagement.
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Flexible & Dedicated
Sources: Princeton / Georgia Tech / IIT Delhi (2024) · Conductor (2026) · Profound Pigment podcast (Cadwallader)
Insights
journal
Insights
journal
Insights
journal
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
The information-gain problem
What AI actually looks for before it cites you
7 min read
Foundational models already contain the public internet up to their training cut-off. Re-stating facts the model already knows adds zero retrieval value. The engine has no reason to cite a page that tells it what it already believes.
The information-gain problem
What AI actually looks for before it cites you
7 min read
The information-gain problem
What AI actually looks for before it cites you
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
The five most common reasons: (1) JSON-LD schema missing, (2) Cloudflare blocking the bot, (3) heading hierarchy broken, (4) content has no information gain, (5) H1 doesn't match the buyer's prompt. Each with the specific fix.
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
Why your blog isn't being cited by ChatGPT
The five most common reasons, and the specific fix for each
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
Most GEO / AEO playbooks are written for global markets. The buyer prompts, citation sources, and authority vectors assume US / UK / EU media ecosystems. They break in Hong Kong.
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
The HK Citation Map
The proprietary index Parsability maintains to engineer HK-specific citation
7 min read
Tuesday, September 1, 2026
Written by
Pardeep Sidhu
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
A practitioner's view of the three platforms a HK B2B SaaS is most likely to evaluate. Comparison framework: instrumentation depth, engine coverage, HK-specific authority vectors, schema-level control, agent-analytics capability. Recommendation: the platform that wins for HK is the one that gives you parser-level control + multi-engine monitoring + HK authority-vector coverage. Most do not offer all three.
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
Profound vs. Goodie AI vs. Kalicube
Which GEO platform actually works for HK B2B SaaS
7 min read
More in the journal
More in the journal
More in the journal
Engagement Tiers
pricing
Engagement Tiers
pricing
Engagement Tiers
pricing
Parsability
Essential
* Pause or cancel whenever you wish.
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Parsability
Essential
* Pause or cancel whenever you wish.
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Parsability
Essential
* Pause or cancel whenever you wish.
All tiers are month to month after initial setup.
HK$15,000
/month
Initial AI-citation audit
Entity optimisation & JSON-LD
4 information-gain pages per quarter
Dedicated Senior Designer
Standard Development
Common Questions
faq
Common Questions
faq
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.
Still have questions?
A 30-minute scoping call, no pitch. We look at your current citation footprint and tell you whether a pilot is worth running.
Anything left out?
Anything left out?
Anything left out?
Your buyers are already asking.
Make sure your name is in the answer.
Start with a 30-minute scoping call. We look at your current citation footprint across the engines your buyers actually use, and tell you whether a pilot is worth running.