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Answer engine optimization consultancy

The essence of digital visibility.

Search is evolving beyond traditional rankings. We help businesses strengthen their search presence, become more discoverable in AI-generated answers and build sustainable digital growth.

The shift

Search has changed. Has your strategy?

People still search, but more of them now ask. They get a written answer that names a few brands and links to a few sources. Rankings still matter, and they are no longer the whole picture.

  1. Then Ten links on a page. You competed for a click.
  2. Now One written answer that names a few brands and cites a few sources.
  3. Next Assistants that compare, shortlist and book on the buyer's behalf.

How AI answers

How an AI answer is made.

Every answer starts with reading. The assistant gathers what the web says, decides what it can trust, then writes. Answer engine optimization works on all three steps.

  1. It reads

    The assistant pulls in pages about the question: yours, your competitors' and everything written about both.

  2. It weighs

    It favours facts it can confirm in more than one place, stated clearly, by sources it trusts.

  3. It writes

    It names the brands it is most confident about. Everyone else is left out of the answer.

The five Tatva

Five Tatva. The technical stack of AI visibility.

Tatva means element. For an AI assistant to name your brand, five layers have to work together, from the crawl that fetches your page to the entity graph that defines who you are. Each layer has a service built for it.

Prithvi Earth, Structure

The crawl and render layer

Before any model can quote you, a crawler has to fetch, render and parse your page. Prithvi is the ground everything else stands on.

What machines check

  • AI crawlers such as GPTBot, ClaudeBot, PerplexityBot and Google-Extended allowed in robots.txt
  • Key content in server-rendered HTML, not hidden behind JavaScript
  • Valid Organization, Service, Article and FAQ structured data

Jala Water, Flow

The content and retrieval layer

AI search retrieves passages, not whole pages. Jala is how your content flows into those passages: one question, one clear answer, stated early.

What machines check

  • Answer-first passages under question-shaped headings
  • A clean heading hierarchy, so each section makes sense on its own
  • Definitions, figures and comparisons stated plainly enough to quote

Agni Fire, Authority

The authority and citation layer

Models favour claims they can confirm in more than one place. Agni is the proof: original data, named experts and mentions on the pages AI engines already cite.

What machines check

  • Mentions on the domains cited for your priority prompts
  • Named authors with real, checkable experience
  • Original data and claims linked to their sources

Vayu Air, Reach

The distribution and measurement layer

Visibility differs by assistant and by prompt, and it moves every month. Vayu is how we see where you appear, where you do not, and why.

What machines check

  • A fixed prompt set built from real buyer questions
  • Results per engine: ChatGPT, Gemini, Perplexity and Google AI Overviews
  • Share of mentions against the competitors you name

Akasha Space, Intelligence

The entity and knowledge layer

Language models reason in entities and the relationships between them. Akasha is the space where your brand is defined: one identity, linked to everything you do.

What machines check

  • One canonical description of the brand, repeated everywhere
  • sameAs links to profiles, directories and knowledge bases
  • Clear relationships between brand, services, people and places

Being remembered

Be the brand AI remembers.

AI assistants such as ChatGPT, Gemini and Perplexity build their answers from what the web says about you: your own pages, the sources that mention you and how clearly those facts connect. We work on that whole picture, so the facts about your brand are consistent wherever an assistant looks.

  • One story about you Who you are, what you offer and where, stated the same way everywhere.
  • Answers worth lifting Pages that reply to real buyer questions in the first lines.
  • Proof others repeat Data, examples and third party mentions that make you safe to cite.

No one can guarantee a place in an AI answer. What we can do is remove the reasons to leave you out.

How we work

Built on the right foundations. Designed for discovery.

Every engagement follows the same loop. It starts with what is true about your business today and keeps going after the first fixes ship.

  1. Discover

    The business, the buyers and the questions they ask before they get in touch.

  2. Analyse

    How AI assistants and search engines describe you today, against the competitors you name.

  3. Strategise

    A ranked plan: what to fix, what to write and where outside proof is missing.

  4. Optimise

    Technical access, answer-first pages, entity data and citations, in that order.

  5. Measure

    The same prompts, tested again, so change is visible and honest.

  6. Improve

    Results shape the next round. AI search keeps moving, so the work does too.

Ketan Parmar, founder of Digital Tatva

Search is becoming a conversation. Your brand needs to be worth quoting in it.

AI systems lean on what they can read clearly and confirm elsewhere. Our job is to find the essential facts about your business, make them easy to understand and earn the proof that supports them. No tricks, and no promises that anyone can buy a place in an AI answer.

Ketan Parmar Founder, Digital Tatva

Work we can show you.

We publish case studies only with the client's permission and only with numbers we can stand behind.

Ideas that move digital visibility forward.

Practical guides on answer engine optimization and AI search, checked against their sources.

All insights

Let's find your digital essence.

Let's build a stronger digital presence that helps your business get discovered, understood and chosen.