What is the difference between SEO, AEO, GEO and AAO?+
SEO, AEO, GEO, and AAO represent distinct implementation layers within modern digital discovery. SEO ensures search engines index and rank webpage URLs. AEO structures answers for direct extraction in featured snippets and AI Overviews. GEO engineers semantic clarity and entity facts so generative models (ChatGPT, Perplexity, Gemini) cite your business in conversational responses. AAO provides machine-readable endpoints (like llms.txt) and schema graphs so autonomous AI agents can evaluate and interact with your business. The underlying goal remains singular: ensuring your business is discoverable, understandable, and trusted across all systems.
Do you only work with Singapore-based businesses?+
No. InfinitusNow is headquartered in Singapore and has deep familiarity with regional commercial environments, but AI-first digital discovery operates globally. We work with businesses across Southeast Asia and internationally whose target audiences, search queries, or growth plans require multi-region visibility.
How long does a website rebuild take?+
Project timelines depend on information architecture, existing technical debt, content readiness, and required system integrations. Most custom web engineering projects proceed through discovery, structural architecture, development, testing, and launch over six to twelve weeks. Assumptions and dependencies are explicitly defined before work begins.
What makes InfinitusNow's approach different?+
We view visibility as a systemic engineering discipline rather than a series of isolated campaigns. Technical foundations, structured schema graphs, entity definitions, and measurement must align. We identify where system understanding breaks down, then prioritize changes based on verifiable impact.
What is the Digital Intelligence Platform (DIP)?+
DIP is InfinitusNow's monitoring platform for cross-engine visibility. It gathers retrieval signals across search engines, answer boxes, generative models, and AI agents into one interface. Its purpose is operational clarity: enabling business leaders to evaluate visibility changes and identify priority technical actions without managing separate analytics tools.
How is DIP different from tools such as Semrush or Ahrefs?+
Semrush and Ahrefs are broad research platforms designed for search specialists managing keyword databases. DIP is designed specifically to track cross-engine visibility—evaluating traditional rankings alongside AI Overview inclusion, LLM citation presence, and agent readiness. It translates multi-engine telemetry into prioritized operational recommendations.
Is SEO still relevant when customers use AI?+
Yes. Traditional search foundations remain essential. Crawlable page architecture, technical speed, clear URL hierarchy, and trustworthy backlink references form the baseline data retrieval layer that AI systems rely on. SEO is a necessary foundation within a broader visibility infrastructure.
How do AI systems decide which businesses to mention or recommend?+
Generative models evaluate retrieved information for relevance, entity consistency, source credibility, and contextual clarity. Systems favour businesses with well-defined entity data, explicit service boundaries, and verifiable references across authoritative sources. Visibility engineering establishes these structural conditions.
Can a smaller business improve its AI visibility?+
Yes. AI engines evaluate clarity and structural precision rather than publishing volume alone. A smaller organization with clear entity definitions, structured JSON-LD schema, precise answer formatting, and accurate business data can achieve high citation authority within its specific sector.
How are website projects priced?+
Engineering projects are scoped individually based on functional requirements, content volume, schema complexity, and integration scope. We establish fixed project scopes with defined assumptions upfront so costs correspond directly to engineering requirements.
How do I know whether my business is visible to AI systems?+
Visibility is evaluated by inspecting structural signals: verifying whether search engines index core pages, testing whether generative platforms cite your business for relevant queries, and auditing whether JSON-LD schema and llms.txt files are published. A baseline audit identifies current coverage across all layers.