Buyer-question set
A versioned set of category, comparison, problem and purchase questions, split by market, language, topic and decision stage. Keep branded questions separate from open discovery.
90-day AI Search roadmap
Start with an agreed buyer-question set and a defensible baseline. Fix access and entity gaps before publishing. Build owned answers, strengthen the sources buyers already trust, then compare repeated observations. The dates organise the work. They do not promise when an AI engine will notice it.

Before day one
The plan begins when the question set, source access and decision owners are ready. If those inputs arrive later, the dependent work moves with them.
A versioned set of category, comparison, problem and purchase questions, split by market, language, topic and decision stage. Keep branded questions separate from open discovery.
Website, product facts, approved claims, analytics, Search Console, CRM or booking data, and any AI visibility platform already in use. Unavailable sources stay unavailable.
One business owner, one website owner, one content approver and one measurement owner. A person can hold more than one role, but every gate needs a name.
Agree what can ship without another meeting, what needs legal or brand approval, what makes an observation valid and when the question set can change.
Milestones and outcomes
Delivery milestones are commitments. Rankings, citations, recommendations, traffic and enquiries are observations controlled partly by engines, markets and buyers.
| Checkpoint | Controllable milestone | Engine-controlled observation |
|---|---|---|
| Day 30 | Accepted question set, technical and entity repair list, published high-priority fixes, measurement log and approved content queue. | Whether an engine recrawls a page, changes an answer, cites the business or sends a visit. |
| Day 60 | Priority answer pages published, proof gaps assigned, source-work priorities and approved angles ready, and two comparable reporting periods reviewed. | Whether a publisher accepts a contribution, a community discussion stays visible or an engine repeats the new evidence. |
| Day 90 | One complete delivery cycle, a versioned evidence trail, a keep, change or stop decision for each workstream and the next 90-day backlog. | Any promised position, recommendation, traffic level, enquiry volume or revenue result. |
01 Days 0 to 14
Make the measurement contract explicit before anyone optimises against it. The first useful output is a question set and a baseline people can challenge, not a dashboard screenshot.

Business owner, measurement owner and the people closest to sales and customers.
02 Days 15 to 30
Fix the conditions that make useful work findable and believable. Start with blockers that affect many questions, then repair the pages closest to commercial intent.

Website owner leads technical delivery. Business and content owners approve facts and claims.
03 Days 31 to 60
Publish a small number of strong pages that answer missing buyer questions. Add evidence, examples and expert ownership that another source can verify.

Content owner drafts, subject expert verifies, website owner publishes and measurement owner records the change.
04 Days 61 to 90
Owned pages are only one part of the evidence system. Work on relevant independent sources, then use repeated observation to choose the next cycle.

Subject expert owns the contribution. Outreach or community owner manages the relationship. Measurement owner keeps interpretation separate from delivery.
Measurement cadence
Run the agreed questions on a consistent schedule, review complete periods and keep business observations in a separate funnel. A changed answer is not automatically a commercial result.
Prompt responses, brand mentions, visible order, source links, failed runs and changed facts. Use the actual platform cadence and label it.
Completed-period movement by engine, topic, market and language. Review source gaps and factual errors before changing the content queue.
Record the page, claim, source, date, approval and verification. Mark the intervention on the measurement timeline.
Compare like with like. Show counts, missing coverage and material method changes. Decide what to keep, change, pause or stop.
Measure privacy-safe transitions from this roadmap to the audit and Managed AI Search pages, completed audit requests and qualified booked demos downstream. Current authoritative baselines are unavailable, so the first post-release read establishes them.
DIY, tool or managed service
The work needs ownership more than it needs a particular vendor. Choose the lightest operating model that can maintain the evidence and shipping cadence.
| Route | Best fit | What you still own | Main trade-off |
|---|---|---|---|
| DIY with an internal owner | A focused team with website access, subject expertise and enough time to run the same questions repeatedly. | Question acceptance, publishing, source work, QA, measurement definitions and the 30, 60 and 90-day decisions. | Lowest external spend, highest demand on internal judgement and delivery time. |
| AI visibility tool plus internal team | A team that can execute but needs repeatable prompt, competitor and source data. | Prompt quality, interpretation, technical changes, content, outreach and commercial attribution. | Better measurement capacity does not ship the work or guarantee an engine outcome. |
| Specialist or agency support | A team that needs focused research, technical or editorial capacity while retaining programme ownership. | Approvals, source access, product truth, implementation access and final decisions. | Useful for a bounded gap, but handoffs can slow a plan if ownership is fragmented. |
| Schmitdy Managed AI Search | A business that wants one team to run research, page work, source work, verification and reporting in its working channel. | Product truth, timely access and approvals, legal or brand decisions and commercial qualification. | Higher service cost, with more of the operating burden handled. Engine and publisher outcomes remain outside Schmitdy control. |
Ownership
Accepts target markets, priority questions, approved claims, commercial qualification and the day 30, 60 and 90 decisions.
Versions the question set and definitions, records unavailable data, checks comparability and reports uncertainty.
Controls crawl, index, CMS, analytics and release quality, and keeps visible copy aligned with structured data.
Provides first-hand evidence, approves factual language and rejects weak or duplicated pages.
Manages publisher and community relationships, follows rules and records acceptances, declines and removals without treating them as failures of the whole plan.
Public sources
These sources explain platform mechanics and measurement. The sequence above is Schmitdy’s operating synthesis, not a timetable endorsed by an AI engine.
FAQ
No. The roadmap can guarantee only the work you control and verify. AI systems decide when to crawl, retrieve, cite, mention, order or recommend a business.
Use the smallest set that covers the real category, comparison, problem and purchase decisions across the required markets and languages. As a worked starting frame, try five to ten questions in each of those four groups for one market and language, then remove any cell the team cannot repeat consistently.
No. A team can retain answers and sources manually for a bounded set. A platform becomes useful when repeated multi-engine, multi-market tracking would otherwise consume the team’s delivery time.
Record the source as unavailable. Do not write zero and do not infer that no visits, requests or bookings occurred. Establish the baseline after access is restored and state the observation window.
Fix clear access failures and broken user paths immediately. Hold broad content expansion until the question set and source gaps are accepted, otherwise the team can publish a lot without answering the right demand.
Review priorities weekly, but change the measurement contract only with a new version. Major question, engine, model, interface, market or weighting changes break direct comparison and need an annotation or fresh baseline.
A milestone is delivered work with evidence, such as a repaired route or published answer page. An outcome is observed behaviour, such as an engine citation, a visit or a qualified demo. The team controls the first and can only influence the second.
Use the evidence to keep, change, pause or stop each workstream. The next cycle should expand only the questions, pages and sources that still matter commercially and can be measured consistently.
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Next step
The free audit gives you a bounded starting point. If you want Schmitdy to run the research, shipping and measurement with your team, compare the managed service before you choose.