We help brands win visibility inside AI answers.
A strategy-first consultancy focused on Generative Engine Optimization — making brands into sources that AI systems understand, trust, and select.
- 2025
- GEO / AEO
- Pune, India
- Worldwide
The shift
More decisions now begin inside a system that answers rather than a page that lists. Visibility stopped being a position and became a selection.
Instead of searching and clicking through links, buyers increasingly start inside ChatGPT, Perplexity, and Google’s AI-powered search. These systems do not list results. They synthesise information, compare options, cite sources, and increasingly carry ads inside the answer itself.
Traditional SEO
Built for rankings and traffic
A position on a page of ten links. Measurable, ordered, and increasingly not where the decision happens.
AI-driven search
Built on trust, clarity, authority
One generated answer naming two or three sources. Either you are one of them, or you are not in the room.
In this environment, visibility is determined not by rankings or spend, but by how clearly these systems understand, trust, and select a brand. Many strong companies stay invisible in AI answers — not because they lack quality, but because their information is not structured in a way a model can reliably interpret, verify, and reuse. Newtation exists to close that gap.
Entity engineering
We shape how AI systems understand, evaluate, and reference a brand as a distinct entity — not content in isolation, and not technical fixes in isolation.
Recognised
The system resolves you as one coherent entity rather than as several half-matching names.
Associated
You are attached to the right topics and categories — the ones your buyers actually ask about.
Trusted
Your claims are corroborated somewhere the model already checks, so they survive verification.
Selected
You are named inside the generated answer. This is the only state that shows up in a pipeline.
Our work blends strategy, content systems, structured data, and credibility signals into one coherent model of how large language models retrieve and synthesise information. It is practical, systematic, and designed to compound as those models change.
What we do
Six lines of work, run against your own category rather than a checklist.
- Analyse how the major answer engines currently describe, cite, or omit you
- Identify the gaps in entity clarity, authority signals, and trustworthiness
- Map how these systems associate you with competitors, categories, and concepts
- Structure content and data so they can verify, contextualise, and reuse it
- Improve how often — and how accurately — you are named in generated answers
- Build GEO roadmaps your own teams can execute without us in the room
What we sell
One engagement, and one hand-off. Both start from the same free audit.
The Newtation Authority Engine
An authority system for brands that need sustained presence rather than one-off improvements. Twelve stages, run as a loop.
- Strengthen how AI systems perceive you as a trusted source
- Increase the likelihood of being cited across answer engines
- Protect visibility as competitors enter the category
- Hold consistency as models and retrieval mechanisms change
InPromptAds
Newtation earns attention inside AI answers. InPromptAds pays for it — native placement inside AI assistants, starting with ChatGPT Ads. Same buyer, same surface, opposite mechanism.
Visit InPromptAds(opens inpromptads.com in a new tab)Who we work with
We partner closely with marketing, content, SEO, and engineering teams — usually all four.
- You operate in a competitive or trust-sensitive category
- You would rather hold authority for years than rent a tactic for a quarter
- You want a strategy your internal teams can run, not a dependency
We don’t replace your teams.We help them adapt to a new discovery layer.
As these systems become the interface between brands and customers, our job is narrow and specific: make sure yours is understood, trusted, and selected inside them.