Kaliber builds the systems that make enterprise brands visible, cited, and recommended across AI-powered discovery.
Our work in search and discovery spans decades, shaped by leadership originating from Google's New York teams.
700 million people now use ChatGPT every week. The fastest-growing use case is Seeking Information up from 14% to 24% of all conversations in a single year.
Over half of all messages are people asking AI for guidance, advice, or insight to inform a decision. Not generating content. Deciding.
That misses the point.
People aren't just asking differently - they're deciding differently. They describe situations to AI and expect synthesised recommendations.
A keyword is a fragment of intent. A topic groups related ideas. A situation captures the real-world context, constraints, and trade-offs a buyer is trying to resolve. For example, an enterprise payments team expanding into Southeast Asia might ask:
Which cross-border payment platform should we use? How do we reduce checkout drop-off in Hong Kong?
What shortens payment go-live timelines? How do subscription payments fail across borders?
These are different questions. But they are all expressions of the same situation. Kaliber maps situations first, then builds the structured knowledge AI systems use to associate brands with those situations.
AI systems are actively forming their understanding of every category. The brands that shape those patterns early are more likely to become the default recommendations later.
Today, most brands are still organised for SEO-era demand capture. Very few are building for AI-era decision support. That creates a temporary strategic advantage for brands that move before the category stabilises.
Kaliber does not approach GEO as a bolt-on to SEO. We approach it as a question of market behaviour, brand association, and decision structure. Our model connects four layers.
We identify the situations buyers are trying to resolve.
Rather than chasing thousands of isolated questions, we identify the decision situations that generate them. This creates a clearer starting point and a more commercially relevant content map.
We determine where authority can be won first.
Each situation is scored across reasoning query fit, entity co-occurrence, and narrative tension. This helps us identify where AI visibility can create immediate business impact while the field remains open.
We build interconnected assets AI systems can corroborate.
Each priority situation becomes a Content Universe spanning long-form articles, video, visual summaries, and distributed content. The goal is not volume. It is structured authority across surfaces.
Our work in search and discovery spans decades, shaped by leadership originating from Google's New York teams.
Our work does not begin with formatting content for AI. It begins by identifying the situations that matter, then building the structures that make brands more citable and more discoverable.
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In a category where Stripe held over 99% share of voice across Google AI Overviews, AI Mode, and ChatGPT, Antom was functionally invisible. Kaliber identified eight Category Entry Points across Singapore and Hong Kong, then deployed them as Content Universes across article, video, social, and knowledge-hub formats.
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systemsGo faced broad, solution-led content competing on generic IT terms. Kaliber restructured the content model around enterprise trigger moments and decision questions, while strengthening technical foundations.
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jem.sg had strong offline awareness but fragmented digital discovery. Kaliber shifted the strategy from isolated keywords to intent-led clusters aligned to how users plan visits, evaluate dining, and navigate seasonal shopping moments.
Most GEO strategies still optimise for questions. Kaliber optimises for the situations buyers are trying to resolve. That changes how opportunities are prioritised, how content is structured, and how authority compounds.
SEO was built around rankings, pages, and click-through behaviour. GEO requires brands to be associated with the situations AI systems interpret when generating answers. Strong SEO helps, but it does not solve the full discovery problem.
We track AI citations, recommendation frequency, share of voice, AI Overview presence, and platform-level visibility across relevant markets and competitor sets.
AI visibility can move faster than traditional SEO when the right situations are prioritised and the right authority structures are built. Timelines vary by category, incumbent strength, and existing content foundation.
Request a GEO assessment to understand where your brand is visible, where it is absent, and which situations matter most to win first.
Kaliber builds the systems that make enterprise brands visible, cited, and recommended across AI-powered discovery.
Our work in search and discovery spans decades, shaped by leadership originating from Google's New York teams.
700 million people now use ChatGPT every week. The fastest-growing use case is Seeking Information — up from 14% to 24% of all conversations in a single year.
Over half of all messages are people asking AI for guidance, advice, or insight to inform a decision. Not generating content. Deciding.
Meanwhile, when Google's AI Overviews appear, click-through rates to the top organic result drop by 58%.
Most of the market has responded by reformatting SEO content into question-based formats. Keywords become prompts, blogs become FAQs.
That misses the point.
People aren't just asking differently — they're deciding differently. They describe situations to AI and expect synthesised recommendations.
The brands that structure themselves around those decisions are the ones AI will cite.
A keyword is a fragment of intent. A topic groups related ideas. A situation captures the real-world context, constraints, and trade-offs a buyer is trying to resolve.
For example, an enterprise payments team expanding into Southeast Asia might ask:
Which cross-border payment platform should we use?
How do we reduce checkout drop-off in Hong Kong?
What shortens payment go-live timelines?
How do subscription payments fail across borders?
These are different questions. But they are all expressions of the same situation.
Kaliber maps situations first, then builds the structured knowledge AI systems use to associate brands with those situations.
AI systems are actively forming their understanding of every category.
The brands that shape those patterns early are more likely to become the default recommendations later.
Today, most brands are still organised for SEO-era demand capture. Very few are building for AI-era decision support.
That creates a temporary strategic advantage for brands that move before the category stabilises.
Kaliber does not approach GEO as a bolt-on to SEO. We approach it as a question of market behaviour, brand association, and decision structure. Our model connects four layers.
We identify the situations buyers are trying to resolve.
Rather than chasing thousands of isolated questions, we identify the decision situations that generate them. This creates a clearer starting point and a more commercially relevant content map.
Sharper prioritisation across high-value discovery situations.
Best for: Brands needing strategic clarity.
We determine where authority can be won first.
Each situation is scored across reasoning query fit, entity co-occurrence, and narrative tension. This helps us identify where AI visibility can create immediate business impact while the field remains open.
Prioritised opportunities with immediate and compounding upside.
Best for: Brands moving early in GEO.
We build interconnected assets AI systems can corroborate.
Each priority situation becomes a Content Universe spanning long-form articles, video, visual summaries, and distributed content. The goal is not volume. It is structured authority across surfaces.
Compounding visibility and stronger AI citation eligibility.
Best for: Enterprise teams building durable authority.
Our work does not begin with formatting content for AI. It begins by identifying the situations that matter, then building the structures that make brands more citable and more discoverable.
In a category where Stripe held over 99% share of voice across Google AI Overviews, AI Mode, and ChatGPT, Antom was functionally invisible. Kaliber identified eight Category Entry Points across Singapore and Hong Kong, then deployed them as Content Universes across article, video, social, and knowledge-hub formats.
systemsGo faced broad, solution-led content competing on generic IT terms. Kaliber restructured the content model around enterprise trigger moments and decision questions, while strengthening technical foundations.
jem.sg had strong offline awareness but fragmented digital discovery. Kaliber shifted the strategy from isolated keywords to intent-led clusters aligned to how users plan visits, evaluate dining, and navigate seasonal shopping moments.
Most GEO strategies still optimise for questions. Kaliber optimises for the situations buyers are trying to resolve. That changes how opportunities are prioritised, how content is structured, and how authority compounds.
SEO was built around rankings, pages, and click-through behaviour. GEO requires brands to be associated with the situations AI systems interpret when generating answers. Strong SEO helps, but it does not solve the full discovery problem.
We track AI citations, recommendation frequency, share of voice, AI Overview presence, and platform-level visibility across relevant markets and competitor sets.
AI visibility can move faster than traditional SEO when the right situations are prioritised and the right authority structures are built. Timelines vary by category, incumbent strength, and existing content foundation.
Request a GEO assessment to understand where your brand is visible, where it is absent, and which situations matter most to win first.