AI Marketing Consulting
Strategy-led AI marketing for B2B and professional services firms.
One-on-one consulting engagements to build, audit, or reposition your AI marketing strategy. Covers semantic SEO architecture, content systems, marketing automation, and measurable growth frameworks.
What you get
- Audit of current marketing stack and content gaps
- AI-assisted content strategy and semantic SEO roadmap
- Marketing automation workflows and tool selection
- Quarterly review cadence with measurable KPIs
Who this consulting is for
Ivan works primarily with B2B professional services, technology, and education companies in Singapore. Typical consulting clients are founders scaling past S$2M ARR who need marketing leadership without a full-time CMO hire, and CMOs who want to put AI tools into daily use across an existing team — not sit through another vendor presentation.
The consultant model earns its keep when there are already people in the business doing marketing. An agency is usually the better fit if there is no marketing headcount at all; Ivan will say so on the discovery call. The work is a poor match for companies that only want someone else to run ads, or that expect ranking guarantees in a few weeks.
The consulting brief usually spans four services, in the order they normally get delivered: semantic SEO so the site is machine-readable; marketing automation so the tools already paid for actually talk to each other; generative engine optimisation so the business is citable by answer engines; and corporate AI training so the team can run the system. Not every engagement includes all four — the audit decides which ones earn their place.
Consulting sessions can run remotely for regional teams. Training workshops stay primarily in-person in Singapore, with a virtual option when the cohort is spread across offices. See who Ivan works with and the reviews from consulting and training clients.
The problem this engagement is built around
Most Singapore SMEs Ivan audits are paying for four or five marketing platforms that do not talk to each other. Lead capture, nurture email, social publishing and CRM follow-up still depend on someone copying data between tabs. The site is thin — a homepage, a services page, a dormant blog — so organic search does not compound, and AI answer engines have nothing concrete to cite.
Agencies solve a different problem. They execute campaigns on an ongoing retainer and keep the system they build. When the retainer stops, the output stops. Founders who already have a small team do not need more execution capacity as much as they need a system that team can run — and the knowledge to keep running it.
Singapore headcount economics make the gap sharper. Marketing salaries are high and the talent market is tight. For a 10-to-200-staff SME, a system that lets three marketers produce what five used to is often a more accessible move than hiring two more people. That is the consulting brief: diagnose where the current approach fails, build the AI-assisted systems that replace it, and transfer the capability so the team is not dependent on Maple Commerce to keep the lights on.
How Ivan runs the engagement
Every session is with Ivan directly. There are no account managers and no juniors handling delivery. Most consulting engagements start with a discovery call and a marketing audit, then a scoped 90-day sprint covering strategy, implementation priorities, and one or two measurable outcomes. Ongoing advisory, if useful after the sprint, is a monthly retainer with two structured sessions.
The build itself usually follows four stages over roughly 8 to 12 weeks, matching the model described in what an AI marketing consultant in Singapore actually does.
- Diagnose (weeks 1–2). A technical and semantic audit of the site, topic and entity gaps against competitors, and a baseline of whether AI answer engines currently cite the business at all. Output is a scored register of gaps, ranked by impact against effort.
- Build (weeks 3–6). Topic clusters, internal linking, structured data, and answer-first page templates. This is where most of the durable ranking value is created, and it is also the least visible — nothing moves in the analytics for weeks.
- Automate (weeks 6–10). Email and nurture flows, social publishing, reporting and attribution. The test is whether a workflow survives someone going on leave.
- Transfer (ongoing). Workshops, playbooks and SOPs so the in-house team can operate the system. If they cannot, the engagement failed regardless of what the dashboards say.
Deliverables and timeline
A focused audit and strategy sprint is typically 4–6 weeks. A build-and-automate project is scoped by how many systems are involved and how much content architecture has to be rebuilt. Corporate training, when it is part of the same programme, is priced per cohort and is the part most likely to be SkillsFuture-eligible — see corporate training and SkillsFuture AI marketing.
What you keep at the end is the system, the playbooks and the skills — not a dependency. Ivan does not offer outcome guarantees, because marketing results depend on budget, execution capacity and competitive dynamics outside any consultant’s control. What he will guarantee is that every recommendation is specific, evidence-based, and accompanied by a clear rationale and a measurement framework.
Named proof lives on Results: the marketing system running this site, programmes taught at SMU Academy, SIT and BCG RISE, and ten workflow rebuilds participants took back into their own jobs. Site-level stats Ivan publishes are 3,000+ professionals trained, 20+ years in marketing, 50+ organisations served, and 75% year-on-year traffic growth delivered for B2B clients through semantic SEO. Cost tracks the engagement shape rather than a fixed rate card; the honest sequence is to scope the shape on a discovery call, then price it.
Automation and internal-process gains show up first, usually within the engagement. Organic search and AI-citation gains are slower — a realistic horizon is two to three quarters for semantic SEO to move rankings, and longer for a site with little existing authority. Be sceptical of any consultant who promises ranking results in weeks. That timeline is the same one already published on the semantic SEO and consultant posts.
Frequently asked questions
- What is the difference between hiring an AI marketing consultant and an agency?
- An agency manages execution across a team and typically bills for hours or retainers. An AI marketing consultant like Ivan works directly with you — diagnosing the strategy, building the system, and transferring the knowledge to your team. There is no account management layer, no handoffs, and no markup on junior work. You get senior thinking on every conversation.
- What does a typical consulting engagement look like?
- Most engagements start with a discovery call and a marketing audit. From there, we agree on a scope — typically a 90-day sprint covering strategy, implementation priorities, and one or two measurable outcomes. Ongoing advisory retainers are monthly with two structured sessions.
- How long does a typical consulting engagement last?
- Engagements vary. A focused audit and strategy sprint is typically 4–6 weeks. An ongoing advisory retainer runs quarterly with monthly check-ins. Training programmes are scoped per cohort. Ivan will scope the right format during the discovery call.
- What kinds of businesses do you work with?
- Primarily B2B professional services, technology, and education companies in Singapore. Typical clients include founders scaling past S$2M ARR who need marketing leadership, CMOs implementing AI tools across their team, and HR or L&D teams sourcing AI marketing training programmes.
- Do you guarantee results?
- Ivan does not offer outcome guarantees because marketing results depend on factors outside any consultant's control — budget, execution capacity, competitive dynamics. What he can guarantee is that every recommendation is specific, evidence-based, and accompanied by a clear rationale and measurement framework.
Start with a conversation
Start with a free 30-minute discovery call.
You explain your situation, Ivan asks questions. No pitch until we both think there is a fit.
Who delivers this
Ivan Wong is Singapore's AI marketing consultant — former Google trainer, SIT/BCG-RISE faculty, SMU and SIT lecturer with 20+ years in marketing. He has trained 3,000+ professionals and works directly with every client on every engagement.