AI Visibility Roadmap | Ignited Nepal

Know Exactly What to Do, In What Order, and Why It Will Work

Nepal's business environment is changing faster than most planning cycles can keep up with. AI-powered search tools are already shaping how customers in Kathmandu, Pokhara, and across the country discover services, compare options, and form opinions — before they ever visit a website. The AI Visibility Roadmap gives your organisation a structured 90-day sprint plan and a 12-month strategic programme built on where your business actually stands today, not on a generic template designed for someone else's market.

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This is for you if

Who This Is For

The first is any Nepali business that has already completed an AI Visibility Audit and now needs to turn those findings into an ordered, time-bound execution plan. The audit told you what is broken. The roadmap tells you what to fix first, what to fix next, and what to leave for later — and it explains the reasoning behind every sequencing decision.

The second is a marketing or communications team that needs to bring leadership along before any budget moves. If you are trying to make the case internally for AI search investment — whether to a board, a CFO, or a founding team — the roadmap produces the materials you need: a board-ready summary, a business case structure, and a milestone framework that turns an abstract idea into a programme with accountability.

The third is an organisation that has already started experimenting with AI visibility work — publishing a few structured content pieces, testing FAQ schema, making some changes to how the business is described online — but has no clear sequence tying those efforts together. Early experiments without a plan tend to plateau. The roadmap takes what you have already built and connects it to a programme with direction.

The fourth is any growing Nepali business that needs to allocate budget and headcount across AI visibility tracks but does not know how to scope the work. How much content is needed? What technical changes require developer time? When does authority-building start producing results? The roadmap answers these questions with numbers, not vague recommendations.

What's broken

Most Nepali businesses know AI search matters. Almost none know what to do about it first.

Paralysis, not ignorance

The most common problem is not ignorance — it is paralysis. Teams understand that ChatGPT, Google's AI Overviews, and other AI-powered discovery tools are changing how customers find businesses. What they do not have is a clear starting point. The information available on AEO, GEO, and LLMO is scattered across international blogs, often written for markets with very different content ecosystems, competitive landscapes, and resource levels than Nepal. The result is organisations that know the category exists but cannot translate it into a work plan.

Conflicting advice on what to prioritise

The second problem is conflicting advice on what to prioritise. Should you start with structured data? With FAQ content? With entity disambiguation on your Google Business Profile? With citation-building? With technical schema? Every source says something different. Without a structured prioritisation process that looks at your specific situation — your existing domain authority, your content gaps, your competitive position, your available resources — you end up doing a bit of everything and getting strong results from nothing.

Ad-hoc execution without sequencing

The third problem is ad-hoc execution without sequencing. AEO, GEO, and LLMO work interact with each other. Content signals feed entity recognition. Entity health affects citation rates. Citation rates influence how AI systems describe your business. Doing these things in the wrong order — or doing them in parallel without coordination — wastes effort and delays results. Businesses in Nepal that have started AI visibility work without a sequenced plan often find themselves rebuilding earlier work because they skipped a foundation step.

The absence of measurement

The fourth problem is the absence of measurement. If you cannot report on AI visibility progress, you cannot defend the budget, secure more resource, or demonstrate that the programme is working. Most teams working on AI search in Nepal right now have no dashboard, no defined KPIs, and no way to show leadership what is changing quarter on quarter. The roadmap solves this from the start.

What we engineer

The AI Visibility Roadmap is a structured planning engagement that produces six deliverables across a two-to-three week process.

90-Day Sprint Plan

a week-by-week execution plan covering the highest-impact work for the first quarter: quick wins, foundation-building tasks, first-phase content, and technical priorities, with owner assignments and effort estimates

12-Month Strategic Roadmap

a full-year plan across three tracks (content and AEO, authority and GEO, entity and LLMO), with quarterly milestones, resource requirements per quarter, and success metrics tied to measurable AI visibility outcomes

Resource Requirements Document

a clear breakdown of what the programme needs to run: internal headcount, external support, tooling, content production volume, and approximate NPR investment ranges per quarter

Milestone Tracking Framework

a structured system for monitoring progress against the roadmap, including the specific metrics to track, how to track them, and what milestones trigger a plan review or adjustment

Board and Leadership Summary

a concise, non-technical document that presents the AI visibility opportunity, the programme structure, the investment required, and the expected outcomes in language suitable for senior decision-makers

Internal Stakeholder Deck

a presentation-ready deck for building alignment across marketing, technical, and leadership teams before execution begins

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What changes

After the roadmap, your organisation operates differently.

Before

After

Before teams debating priorities and suffering decision fatigue

After The first change is clarity of direction. Every person on your team knows what AI visibility work is in scope this quarter, what is planned for next quarter, and what success looks like at each stage. That clarity removes the decision fatigue that kills execution momentum — teams stop debating priorities and start executing them.

Before "we think we should do something about AI search"

After The second change is internal confidence. Marketing and communications teams in Nepal often struggle to justify AI search investment to leadership when they cannot articulate a structured programme. With a board-ready summary and a milestone framework in hand, the conversation shifts from "we think we should do something about AI search" to "here is the programme, here is the investment, here is how we will know it is working."

Before content, technical, and authority-building work happening in silos

After The third change is coordinated execution across tracks. Content, technical, and authority-building work stops happening in silos and starts running as a coordinated programme. The sequencing in the roadmap ensures that each piece of work builds on the last, so the organisation is not constantly rebuilding foundations or discovering that an earlier decision is blocking a later one.

Before faith-based investment decisions with no visible progress

After The fourth change is measurability. You will have a dashboard and a set of KPIs — AEO citation rate, GEO mention share, LLMO accuracy score, entity health — that give leadership a real picture of AI visibility performance each quarter. Progress is visible. The programme can be defended. Investment decisions become data-informed rather than faith-based.

Common questions

FAQ

What does the AI Visibility Roadmap include?

The roadmap includes six deliverables: a 90-day sprint plan, a 12-month strategic roadmap, a resource requirements document, a milestone tracking framework, a board and leadership summary, and an internal stakeholder deck. Each deliverable is specific to your organisation's situation — not a template with your name on it. The sprint plan is week-by-week with owner types and effort estimates. The 12-month roadmap is broken into quarterly phases across three tracks with defined milestones and success metrics per quarter.

Do I need to complete an AI Visibility Audit before starting the roadmap?

An audit is the ideal starting point because it gives us a detailed picture of your current state before we plan. However, it is not a hard requirement. If you have not yet completed an audit, we run a rapid 10-point current-state assessment at the beginning of the roadmap engagement that covers the most important inputs: entity health, content structure, citation presence, structured data implementation, and competitive AI mention share. The assessment adds a small amount of time to the engagement but is sufficient to plan from.

How long does it take to produce the roadmap?

The full engagement — from situation assessment through to delivery of all six documents — typically takes two to three weeks. This includes the prioritisation workshop, the drafting of both planning artefacts, and review cycles. If your organisation needs the roadmap faster — for example, to meet a board presentation deadline — we can discuss a compressed timeline.

What does the AI Visibility Roadmap cost?

Pricing for the AI Visibility Roadmap engagement starts from NPR 85,000 for organisations that have completed an AI Visibility Audit, and from NPR 120,000 for organisations that need the current-state assessment as a starting point. Final pricing depends on the complexity of your competitive environment, the number of business units or product lines in scope, and whether you need the board summary and stakeholder deck as full design-ready presentations or working documents. We provide a clear quote before any work begins.

Does Ignited Nepal execute the roadmap, or only plan it?

Both options are available. The roadmap engagement is a planning deliverable — we design the programme and hand it to your team to execute. However, many organisations choose to engage Ignited Nepal as their execution partner as well, either for the full programme or for specific tracks such as content production or technical implementation. If you want execution support, we scope that as a separate ongoing engagement informed by the roadmap we have built together.

How are results measured?

The roadmap includes a reporting framework with four core KPIs: AEO citation rate, GEO mention share, LLMO accuracy score, and entity health. We define each metric precisely — including how to measure it and with what tools — and set baseline values at the start of the programme. Progress is tracked quarterly, with monthly check-ins for teams running an active execution programme. Because AI visibility results build over time, we set milestone expectations per quarter rather than promising specific outcomes at a fixed point, and we adjust those expectations if the competitive or algorithmic environment changes materially.

Our team

The people behind the work

Not a black box. Real specialists you can call, with their names on the work.

Niraj Raut

Founder — Ecommerce SEO

Keshab Joshi

PPC Expert

Hawrry Bhattarai

Google Ads Expert

Arogya Rijal

SaaS SEO Expert

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Your AI Search Strategy Should Be a Programme, Not a Guess

Nepali businesses that move from ad-hoc AI visibility experiments to a structured, sequenced programme in the next twelve months will hold a significant first-mover position in their categories. The window for building that position before competitors organise is still open — but it is not open indefinitely.

Run an AI Visibility Audit →

The AI Visibility Roadmap gives you the plan, the resources, the milestones, and the measurement framework to run a real programme from day one.