AI Visibility Roadmap | Ignited Nepal

A Board-Ready AI Search Strategy Built Around Your Business, Not a Generic Template

Australian leadership teams are asking harder questions about AI search than their marketing teams currently have answers for. ChatGPT, Google's AI Overviews, Perplexity, and a growing field of AI-powered discovery tools are changing how B2B buyers, consumers, and procurement teams find and evaluate businesses — and the organisations that get cited, mentioned, and described accurately by these systems are gaining a structural advantage that conventional SEO cannot replicate. The AI Visibility Roadmap gives your organisation a 90-day sprint plan and a 12-month strategic programme that turns AI visibility from a topic on the agenda into a programme your team can execute and your board can assess.

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/ This is for you if

WHO THIS IS FOR

Any business that has completed an AI Visibility Audit and is ready to move from diagnosis to execution. The audit establishes where your organisation stands relative to competitors in AI search visibility. The roadmap takes that picture and builds a time-bound plan that sequences the work correctly, allocates resource across content, technical, and authority-building tracks, and defines the milestones that will tell you the programme is working.

A marketing or strategy team that needs to present AI search investment to a board, executive committee, or CFO. In Australian business culture, securing budget for a new programme category requires a structured case: what the opportunity is, what the investment looks like, what the expected return is, and how progress will be measured. The roadmap produces exactly these materials — including a board-ready summary document designed for a senior audience that is informed about business risk but not necessarily familiar with the mechanics of AI search.

An organisation that has already begun AI visibility work — publishing structured content, testing FAQ schema, experimenting with entity signals — but whose efforts are fragmented across teams or disciplines without a programme holding them together. Fragmented early work is common in Australian businesses where digital, content, and technical functions operate in parallel. The roadmap creates the coordination structure that connects those efforts into a coherent programme with clear ownership and sequencing.

A growing Australian business — or a larger enterprise planning a significant digital programme — that needs to scope AI visibility investment across headcount, content production, tooling, and external support. How many pieces of content does a serious AI visibility programme require? What technical resource is needed for structured data? When does authority-building work start to affect citation rates? The roadmap answers these questions with specific numbers and resource models, not broad estimates.

/ What's broken

WHAT'S BROKEN

The absence of a clear starting point

The volume of material published about AEO, GEO, and LLMO has increased sharply, but most of it is either too technical for leadership to act on or too high-level for execution teams to use. Australian marketing teams are often caught in the middle — they understand the category well enough to know it matters, but they cannot translate that understanding into a scoped programme with a budget and a timeline. The result is conversations about AI search that happen repeatedly in planning meetings without producing action.

Conflicting prioritisation advice

Should a business focus on structured data first? On FAQ content? On citation building from authoritative Australian domains? On entity disambiguation across knowledge panels and business profiles? Different sources give different answers, and without a structured prioritisation process that accounts for your specific domain authority, content maturity, competitive position, and resource capacity, there is no rational basis for choosing. Australian businesses that attempt to do everything at once typically get average results everywhere rather than strong results where it counts.

Unsequenced execution

AEO, GEO, and LLMO are not independent disciplines — they build on each other in a specific order. Content signals feed entity recognition. Entity health affects how AI systems describe your business. The quality of those descriptions affects citation rates in AI-generated answers. Doing this work in the wrong order — or running all three tracks simultaneously without coordination — produces compounding inefficiencies. Businesses that have started AI visibility work without a sequenced plan frequently discover they need to rebuild earlier decisions before later work can succeed.

The inability to report progress to leadership

Australian boards and executive committees are increasingly asking about AI search as part of digital investment reviews. Marketing teams that cannot answer those questions with data — because they have no defined KPIs, no baseline measurements, and no tracking framework — find themselves in a vulnerable position. Budget for AI visibility work is difficult to secure without a measurement structure, and even more difficult to maintain once the initial enthusiasm fades.

/ What we engineer

WHAT WE DO

Each workstream is built by the team that audits it, and wired into the rest of your growth system.

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

Milestone Tracking Framework

A structured system for monitoring progress against the roadmap, including the metrics to track, how to track them, and what triggers a plan review or adjustment.

Board and Leadership Summary

A concise, non-technical document presenting the AI visibility opportunity, programme structure, investment required, and expected outcomes in language appropriate for senior decision-makers and board members.

Internal Stakeholder Deck

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

Run an AI Visibility Audit

/ What changes

WHAT CHANGES

Before
After
BeforeYour team operates in reactive mode — responding to the latest article about AI search or the most recent change in Google's AI Overviews — with no rationale for what to prioritise this month beyond whatever came across the team's feed that week.
AfterStrategic clarity. Your team starts executing a plan that was built around your actual competitive situation, and every decision about what to prioritise has a clear rationale tied to the roadmap's sequencing logic.
BeforeThe question in the executive meeting is "should we do something about AI search?" — leaving the marketing team in a position of uncertainty and making budget conversations slow.
AfterWith a board-ready summary in hand, the question becomes "here is the programme, here is the quarterly investment, here is how we measure progress — do we approve this?" That shift makes budget conversations faster and gives the marketing team a position of competence.
BeforeAn ad-hoc AI visibility effort lives in people's heads and dies when those people leave or priorities shift.
AfterA documented roadmap with clear milestones, resource requirements, and a measurement framework is a programme — it can be handed over, reviewed, adjusted, and continued regardless of who is in the room, surviving team changes, leadership transitions, and budget cycles.
BeforeProgress cannot be demonstrated to leadership, and the programme can only be defended with abstract claims about AI search.
AfterThe reporting framework gives your team a consistent set of metrics — AEO citation rate, GEO mention share, LLMO accuracy score, entity health — that track real changes in how AI systems perceive and represent your business, so progress is visible to leadership quarter on quarter.

/ Common questions

FAQ

Straight answers on scope, timelines and cost. Anything else, ask us directly.

Ask us directly
What does the AI Visibility Roadmap include?

The roadmap delivers six documents: 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. These are not templates with your name substituted in — each is built from your audit findings, your competitive situation, and your resource constraints. The sprint plan specifies tasks at the weekly level with owner types and effort estimates. The 12-month roadmap is broken into quarterly phases with milestones and success metrics per quarter across three tracks.

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

An audit is the optimal starting point because it gives the planning process a detailed, evidence-based picture of your current state. If you have not completed an audit, we run a rapid 10-point current-state assessment at the start of the roadmap engagement — covering entity health, content structure, citation presence, structured data, and competitive AI mention share. This assessment is sufficient to plan from and adds only a few days to the engagement timeline.

How long does it take to produce the roadmap?

The full engagement from situation assessment to delivery of all six documents typically takes two to three weeks, including the prioritisation workshop and review cycles. If your organisation is working to a specific deadline — a board presentation, a quarterly planning cycle, a budget submission — we can discuss a compressed timeline and adjust the scope of the board summary and stakeholder deck accordingly.

What does the AI Visibility Roadmap cost?

The engagement starts from AUD 4,500 for organisations that have completed an AI Visibility Audit and from AUD 6,500 for organisations that need the current-state assessment as a starting point. Final pricing depends on the number of business units or product lines in scope, the complexity of your competitive landscape, and whether the board summary and stakeholder deck are required as fully designed presentations or working documents. We provide a fixed quote before any work begins.

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

The roadmap engagement is a planning deliverable — we design the programme and hand it to your team to execute. Many Australian organisations choose to engage Ignited Nepal as an ongoing execution partner as well, either for the full 12-month programme or for specific tracks where internal capacity is limited. Execution support is scoped as a separate ongoing engagement, informed by and priced against the roadmap we have built together.

How are results measured?

The roadmap includes a reporting framework built around four core KPIs: AEO citation rate, GEO mention share, LLMO accuracy score, and entity health. Each metric is precisely defined — including how to measure it and with what tools — and we establish baseline values at the start of the programme. Progress is tracked quarterly, with monthly check-ins for teams running an active execution programme. We set milestone expectations per quarter rather than promising specific outcomes at a fixed date, and we adjust those expectations when the competitive or algorithmic environment changes in ways that affect the timeline.

/ Our team

The people behind the work.

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

About us
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert

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Australian Businesses That Build AI Visibility Now Will Be Hard to Displace Later

The organisations that establish strong AI search presence in their categories in the next twelve months are building a compounding advantage — one that becomes harder for later movers to close with each passing quarter. The window for establishing category leadership in AI search is measurable and finite. The AI Visibility Roadmap gives your leadership team the programme structure, the investment case, the milestones, and the measurement framework to move with confidence.

Run an AI Visibility Audit
Run an AI Visibility Audit View the evidence