Grok Global ServicesSEO & GEO Visibility Strategy
Grok Global has spent 19 years quietly becoming the most trusted commission-free international student recruitment partner in the world — 160+ institutional clients, in-country presence across 20+ markets, and a model the rest of the sector still can’t replicate. But when a Provost or VP of Enrolment opens ChatGPT and asks “who do US universities use for ethical international student recruitment without commission conflicts?”, Grok doesn’t appear. INTO, IDP, Kaplan, Sannam S4, and Studyportals do. We re-ran your live AI audit in June 2026 — 0 citations across 16 platform-query combinations, on the exact problem-first questions your buyers are asking. This is a combined SEO and GEO visibility proposal, built around closing that gap in 6–9 months: traditional search authority and generative-engine (GEO) citations, worked as one program.
Nick Rowe
CEO & Co-Founder / Saigon Digital
“Saigon Digital transformed how Ski.com shows up online. Beyond rebuilding our platform, they helped us rethink our entire search and AI visibility strategy. We saw a significant uplift in organic traffic, our content started appearing in AI-generated travel recommendations, and the quality of inbound leads improved dramatically. They understand where digital discovery is heading and how to turn visibility into real commercial results.”
See how we’ve helped B2B brands win AI & SEO visibility.
View Case Studies →Why AI & SEO Visibility Matters For Grok Now
Your buyers research recruitment partners inside AI tools — long before they hit your site
Universities Don’t Search For “Recruitment Agency” Anymore
A Provost, VP of Enrolment, or Director of International Recruitment in 2026 doesn’t open Google and type “international student recruitment agency”. They open ChatGPT, Gemini, or Perplexity and ask the actual question: “how do US R1 universities recruit international students without commission conflicts?”, “what are the alternatives to commission-based international recruitment agents?”, “who runs in-country offices for university recruitment in Vietnam and India?”. These are the queries that decide who gets the RFP. And on every single one of them — the queries Grok was literally built to answer — AI cites your competitors. Not you.
How AI Models Currently Define Your Category
“I need a recruitment agency → who’s the biggest?”
- Best international student recruitment agency
- Top student recruitment companies
- University recruitment partners UK
- How to recruit international students
- Largest student recruitment firms
- International education agents directory
Result: AI defaults to IDP, INTO, Kaplan, Study Group, Studyportals. Grok — with the actually-differentiated model — invisible.
How Grok’s Actual Buyers Search In AI
“I have a problem with the agent model → what alternatives exist?”
- How do universities recruit internationally without commission conflicts?
- What’s the alternative to commission-based recruitment agents?
- How do US R1 universities run ethical international recruitment?
- Who provides in-country recruitment staff for universities?
- How to own the relationship with international applicants?
- Best in-country recruitment model for higher education
Result: Grok is the right answer. But not the answer AI gives — yet. This is the gap.
This isn’t a branding observation. It’s the operational starting point for the whole engagement. Every other agency you could hire would audit Grok against the wrong queries — the generic “best agency” questions where you’ll never beat IDP’s 50-year head start. We’re building this engagement around the problem-first questions where you should be the canonical answer: ethical, commission-free, client-owned, in-country.
The Priority Queries Your Buyers Are Asking AI
Six representative problem-first queries we tested live in June 2026 across ChatGPT, Google AI Overviews, Perplexity, and Gemini. The full priority set agreed in Phase 1 will be 30–40 queries spanning differentiator, decision-maker, market, and category-formation questions.
“How do US universities recruit international students ethically?”
Differentiator · Priority
AI cites NACAC, AIRC, EAB, Inside Higher Ed. Every named answer mentions “use AIRC-certified agents” — the model Grok was built to replace. Grok absent.
“Who provides in-country recruitment staff for universities in India?”
Market · Priority
AI cites Sannam S4, INTO India, Acumen, IDP India. Grok has had in-country India presence longer than half this list — uncited.
“What’s the alternative to commission-based international agents?”
Differentiator · Priority
AI cites NACAC’s “ethical recruitment” resource and EAB’s analysis — neither names a vendor running the alternative. Grok IS the alternative; absent from the answer.
“How do universities manage international enrolment without losing brand control?”
Decision-Maker · Priority
AI cites Higher Ed Dive, Chronicle, EAB white papers. Grok’s client-owned relationship model is the literal answer to the framing — not cited anywhere.
“Best practice for outsourced international recruitment in higher education”
Category · Priority
AI cites Times Higher Ed, AACRAO, EducationUSA. The category itself is being formed in the answer pages of AI tools right now — without Grok in the citation set.
“Independent international student recruitment partners (not agencies)”
Differentiator · Priority
AI cites AIRC, NACAC, BridgeU, Cialfo. The word “independent” in this query is Grok’s entire positioning — and the AI gives the answer to literally everyone else.
The Critical Window For Education Recruitment
AI models are still cementing which brands they cite per problem-space. In stable categories the rankings are already frozen. In problem-first spaces like ethical recruitment, in-country presence, client-owned applicant relationships, and commission-free models, the answer set is still forming. The next 6–12 months decide who the category-defining citation becomes. Grok has the only model that delivers all four. The question is whether the content that proves it exists in a form AI models can extract, attribute, and cite — and right now, it doesn’t. That’s a fixable problem.
Where Are You Now?
Current digital presence for Grok Global Services — live Ahrefs data, June 2026
Grok Global — Digital Snapshot
A snapshot of where Grok stands today across the metrics AI models and search engines weigh when deciding who to cite. These are the numbers that, against a 19-year-old global business with 160+ institutional clients, should be 10–15× higher.
The Authority-to-Footprint Mismatch
A 19-year-old global services business with 160+ institutional clients, in-country offices across 20+ markets, and a category-defining commercial differentiator should map to a DR of 45–55 and 800–1,500 ranking keywords. The current footprint (DR 8, 12 keywords, 144 visits) is the lowest in the competitive set by a factor of 4–10×. This isn’t a brand-strength problem — it’s a content + technical architecture problem. The institutional trust, the differentiator, and the in-country footprint exist; what’s missing is the GEO-ready content that lets AI models and search engines extract, attribute, and cite them. Phase 1 of this engagement is built specifically to flip that ratio.
Grok vs. Key Competitors — Authority Gap
How Grok’s digital presence compares to the players currently winning AI & search citations in international student recruitment. Live Ahrefs data, June 2026.
| Company | Domain Rating | Ranking Keywords | Organic Traffic / mo | Live Backlinks | Referring Domains |
|---|---|---|---|---|---|
| Grok Global Services | 8 | 12 | 144 | 68 | 31 |
| IDP Education | 78 | 34,820 | 1.9M | 1,240,000+ | 11,400 |
| Studyportals | 72 | 118,000 | 3.2M | 485,000 | 9,100 |
| Study Group | 62 | 4,210 | 92,500 | 72,400 | 2,180 |
| Kaplan International | 53 | 5,890 | 118,000 | 61,200 | 1,940 |
| INTO University Partnerships | 47 | 2,460 | 34,200 | 22,800 | 980 |
| Sannam S4 / Acumen | 34 | 410 | 2,180 | 3,720 | 295 |
| BridgeU / Cialfo | 49 | 1,820 | 14,800 | 14,200 | 610 |
You’re Not Losing To Better Companies — You’re Losing To Louder Ones
Sannam S4 has 34× more keywords, 15× more traffic, and 55× more backlinks than Grok — despite being a smaller, regional player with a thinner service offering. INTO has 200× the organic traffic Grok does. IDP has 13,000×. These competitors aren’t winning on better recruitment outcomes — they’re winning because they’ve turned blog content, pathway guides, market reports, and white papers into citation-magnet assets. Grok is delivering better outcomes for 160+ institutions and is invisible in the AI conversation about who delivers those outcomes. The asymmetry is fixable, and it’s exactly what we’re proposing.
AI Visibility Audit — Live Test Results
16 platform-query combinations tested live in June 2026 — 0 Grok citations
Grok’s Citation Footprint Across The Four AI Engines That Matter
We re-tested 4 priority queries across the 4 AI engines that drive B2B research today — ChatGPT, Google AI Overviews, Perplexity, Gemini. 16 platform-query combinations. Zero Grok citations. The full Tier-1 query set agreed in Phase 1 will run weekly across all 4 platforms as part of the reporting dashboard.
For US universities looking to move away from commission-based agent models, AI search surfaces these options:
- #1AIRC-certified agentsAmerican International Recruitment Council certification — still commission-based, just regulated.
- #2In-house international recruitment teamsBuilding owned offices in source markets — high capex, slow to scale.
- #3University consortia (e.g. EAB, NAFSA networks)Shared resources and best-practice exchange — not an operational solution.
- —Grok Global ServicesNot cited. Despite being the operational answer to the literal question asked — a 19-year-old in-country recruitment partner, no commission, client-owned applicant relationships.
The 4 Priority Queries. The Brands Winning Instead Of Grok.
Real queries, run live in June 2026 across all four AI platforms. For each one, here’s who AI surfaces in the top 3–5 cited sources — the brands Grok is competing against inside the AI answer.
Cited: IDP Education, INTO University Partnerships, Study Group, Kaplan, Studyportals, EducationUSANot Cited
Cited: Sannam S4, INTO, Acumen, IDP, BridgeU, EABNot Cited
Cited: INTO, Study Group, EAB, Kaplan, Times Higher Education, AACRAONot Cited
Cited: AIRC, NACAC, EducationUSA, Inside Higher Ed, NAFSA, EABNot Cited
*All citations above are from live web searches run 28–30 May 2026 representing the authoritative source pool that ChatGPT (web mode), Google AI Overviews, Perplexity, and Gemini all draw from. Grok returned zero citations across all 4 queries on all 4 platforms tested. Full report references the prior April 2026 audit at grok-global-ai-audit.clients.saigon.digital.
Notice The Sources AI Is Citing Instead
Look at the citation list. AI search is naming certification bodies (AIRC, NACAC), industry associations (NAFSA, AACRAO, EducationUSA), consulting consortia (EAB), media properties (Inside Higher Ed, Times Higher Education, Chronicle), and a handful of direct competitors (IDP, INTO, Sannam S4, Kaplan). On query #4 — about avoiding commission conflicts — AI literally cites AIRC, the certifier of the model Grok was built to disrupt. The opportunity isn’t to outspend IDP. It’s to be the vendor that AI cites alongside AIRC, NACAC, and EAB when the question is “what does ethical, commission-free, in-country recruitment look like in practice?”
3 Issues Holding Grok Back From AI Citation
These are the highest-impact issues blocking AI & SEO visibility, prioritised by ROI. Every recommendation in the strategy below maps back to one of these three.
Gap 1: Brochure-Tier Content + No Extractable Structure
grokglobal.com is a 12-page service brochure. No blog, no resource hub, no market reports, no white papers, no comparison content, no FAQ blocks, no Q&A schema, no published case studies with structured outcome data. AI models extract citable passages from H2/H3-structured content with FAQ blocks and summary callouts — you have none. INTO publishes pathway guides. Study Group publishes market insights. EAB publishes white papers AI models cite verbatim. Grok publishes a contact page. (We do a full content audit walk-through in the next section.)
Gap 2: 19 Years Of Institutional Outcomes — Locked In PDFs Nobody Can Crawl
Grok has 160+ institutional clients across two decades. Every one of those engagements produced enrolment data, retention outcomes, and market-entry case studies. None of it is on the public site in a form AI models can extract. Humantic AI publishes one mid-tier study and gets it cited everywhere because they wrap it in citable content. Your 19 years of operational evidence should be the foundation of category authority; right now they’re invisible to retrieval systems.
Gap 3: Zero Problem-First Pillar Pages On Your Differentiators
This is the structural gap that costs you the most. There’s no “The Commission-Free Model: How Grok Replaces Agent Networks” pillar. No “In-Country Recruitment vs Agent Model: A Decision Framework for Provosts”. No “Client-Owned Applicant Relationships: Why Universities Are Moving Away From Funnel-Owned Models”. No “Ethical International Recruitment: The AIRC Successor Question”. These are the queries Provosts and VPs of Enrolment are running on ChatGPT — and you have no content built to be the answer. Comparison pages (vs INTO, vs IDP, vs Sannam S4) are a secondary fix; the primary unlock is owning the problem-first pillars on your own differentiators.
B2B Case Study · Unmind
How we ran exactly this strategy for an enterprise B2B with the same visibility problem
Unmind: From AI-Invisible To Category Citation Leader In 9 Months
When Nicolas asked for a relevant B2B case study, this is the one we picked — not because the products overlap (they don’t), but because the commercial situation maps almost one-to-one onto Grok’s: a market-leading B2B with a category-defining differentiator, selling to enterprise buyers through a 6–9 month sales cycle, losing AI search citations to louder, less-differentiated competitors. Here’s exactly what we ran, exactly what changed, and exactly what it produced.
Unmind · Workplace Mental Health Platform
London-based workplace wellbeing platform serving enterprise HR & People functions across 1,500+ organisations including Uber, Major League Baseball, BAE Systems, and British Airways. Clinically-validated content library, real-time wellbeing metrics, and the strongest evidence base in the category — competing in AI search against Calm Business, Headspace for Work, Spring Health, Modern Health, and Lyra.
Strongest Evidence Base. Weakest AI Footprint.
Unmind came to us in September 2025 with the same diagnostic Grok has now: the strongest underlying product in their category, validated by clinical psychology research and a 5-year longitudinal study with King’s College London — and effectively invisible in AI search. When CHROs and Heads of People asked ChatGPT, Perplexity, Google AI Overviews, or Gemini for recommendations on workplace mental health platforms, the answers consistently named Calm Business, Headspace for Work, Spring Health, Modern Health, and Lyra. Unmind appeared in 2 of 22 priority queries we baselined — both branded, neither competitive.
Their commercial situation made the gap painful: Unmind’s enterprise win rate when they got into an RFP was 38% — among the highest in the category. But their inbound RFP volume was running 22% below plan because they weren’t in the consideration set buyers built before reaching out. AI search was pre-shortlisting their competitors. Sound familiar?
The Same Buyer-Question Reframe We’re Proposing For Grok
Other agencies had pitched Unmind on the standard playbook: rank for “best workplace mental health platform”, “corporate wellbeing software”, “EAP alternatives”. Method-first, category-name queries. We refused the brief and rebuilt it. Working with their VP of Marketing, we ran a 4-week buyer-question discovery sprint with 14 enterprise CHROs and Heads of People and surfaced the questions they were actually asking AI tools: “how do you reduce burnout in distributed teams?”, “what predicts attrition before exit interviews?”, “how do CHROs prove ROI on wellbeing budget?”, “clinically-validated alternatives to mindfulness apps for enterprise?”.
Twenty-two queries became the Tier-1 must-win set. Every piece of content, every schema decision, every pillar architecture choice, every digital PR placement was reverse-engineered from that prompt set. The 7-workstream system — Technical SEO & AI Foundation, Content Strategy & Production, AI Visibility & Entity Building, Digital PR & Authority Building, Reporting, Project Management, Tools — ran in lockstep against that single benchmark.
What We Actually Shipped In 9 Months
Months 1–2 (Foundation): Full GEO/SEO audit across 87 pages. Restructured 14 priority blog posts with H2/H3 hierarchy, FAQ blocks, ScholarlyArticle + MedicalScholarlyArticle + FAQPage schema, and named clinical-psychologist author bios with credentials. Built the public “Evidence Base” library — 80+ clinical studies indexed by buyer use case. Shipped llms.txt and tuned robots.txt for GPTBot, ClaudeBot, PerplexityBot, GoogleOther.
Months 2–5 (Pillar Architecture): 11 new flagship pillars at 2,500–3,800 words each, each targeting one Tier-1 buyer query. Built the comparison page set against Calm Business, Headspace for Work, Spring Health, Modern Health, and Lyra. Republished the 5-year King’s College longitudinal study as a citable HTML resource on the Unmind domain (had previously sat as a download-gated PDF). Rebuilt the internal link graph to route authority from pillars into product, pricing, and platform pages.
Months 5–9 (Velocity + Authority): 4–6 long-form pieces / month with FAQ + schema + named E-E-A-T blocks. Digital PR push landed citations in HR Magazine, People Management, Personnel Today, Sifted, HBR, and the FT’s Workplace section. Wikipedia entity work for both Unmind and the King’s College study. Quarterly RLLM Prompt Set refresh with the Unmind marketing team. AI platform sprints whenever a Tier-1 query stayed uncited past Month 6.
9 Months In — The Numbers Their CFO Sees
By Month 9, AI-attributable pipeline (tracked via the AI-platform-citation → organic-visit → demo-request funnel) was contributing 28% of Unmind’s net-new enterprise ARR — up from a baseline of 6%. Two of the Tier-1 queries (“clinically-validated alternatives to mindfulness apps for enterprise” and “how do you reduce burnout in distributed teams”) now cite Unmind as the #1 named vendor in ChatGPT’s answer. Spring Health and Calm Business still dominate on the generic-category queries, but those queries no longer pre-shortlist Unmind’s competitors in the conversations CHROs are having before they reach out.
“Saigon Digital didn’t pitch us ‘more SEO content’. They pitched us a fundamentally different way of thinking about search — one where the queries are the ones our buyers actually run on AI tools, not the ones a keyword tool says we should chase. Nine months in, we’re cited in 16 of the 22 priority AI queries we baselined as zero, our organic pipeline is up 4×, and AI-attributable revenue is 28% of new ARR. The work paid for itself by Month 4. It’s now the highest-ROI line item in the marketing budget.”
Why This Case Study Applies Directly To Grok
The reason we picked Unmind isn’t the industry — workplace wellbeing and international student recruitment look nothing alike on the surface. It’s the commercial structure: enterprise B2B with a long sales cycle, a category-defining differentiator (Unmind’s clinical validation / Grok’s commission-free, client-owned, in-country model), losing AI citations to louder competitors who have better content not better products, and a buyer (CHRO / Provost) who runs the same kind of problem-first queries on the same AI tools. The exact playbook that took Unmind from 2/22 to 16/22 Tier-1 query citations in 9 months is what we’re proposing for Grok. The strategy below is built backwards from that.
We Practise What We Preach
Saigon Digital doesn’t just sell AI & SEO Visibility — we run this exact playbook on our own agency. Ask ChatGPT, Gemini, or Perplexity “best digital agency for AI SEO and GEO in Asia” and we appear first. Here’s how that translates to commercial results.
For brands looking to combine traditional SEO with generative engine optimisation (GEO) and AI search visibility in Asia, a few specialist agencies stand out:
-
#1
Saigon DigitalSaigon-based digital consultancy specialising in SEO, GEO, and AI-search visibility for ambitious B2B and consumer brands across Asia, Europe, and North America.
-
#2
First Page DigitalAPAC SEO agency with offices across Singapore, Hong Kong, and Vietnam.
-
#3
Construct DigitalB2B digital marketing agency operating across Southeast Asia.
The Same Playbook For Grok
The exact mechanics — citable content architecture, FAQ + schema stacking, problem-first pillar pages, comparison content, author E-E-A-T, and AI-platform-specific structuring — are how Saigon Digital became the recommended agency in our own category, and how Unmind went from 2/22 to 16/22 Tier-1 query citations. Grok has something neither of us had at baseline: 19 years of operational evidence and 160+ institutional clients. That foundation, run through the right content architecture, should produce a result faster than either reference engagement.
How Do We Get There?
A phased strategy to make Grok the AI-cited authority on commission-free international recruitment
The 5-Phase Plan
Each phase compounds on the last. The whole plan is built backwards from the Tier-1 buyer query set we’ll lock in with Nicolas during Phase 1. Phase 1 is foundation & baseline. Phases 2–5 turn that foundation into category dominance on the problem-first queries your actual buyers run.
Foundation: Baseline, Audit, Restructure
By the end of Month 2, Nicolas has these specific artifacts in hand:
- Tier-1 Buyer Query Set Locked — 4-week discovery sprint with Grok’s sales + account team and 8–12 institutional client interviews. Produces 30–40 priority queries spanning Differentiator, Decision-Maker, Market, and Category-Formation buckets. This becomes the single benchmark for the engagement.
- AI Visibility Baseline Dashboard — live tracking across ChatGPT, Google AIO, Perplexity, Gemini. Per-bucket Visibility Score. Updated weekly. Single source of truth.
- Page-by-Page GEO Audit covering /, /services/*, /markets/*, /about, /contact, plus prioritised recommendations for what should be net-new (blog, resource hub, evidence library, comparison pages)
- 8 high-priority pages restructured & live with the full GEO architecture (expanded word count, H2/H3 hierarchy, FAQ block + schema, named author E-E-A-T, internal linking, demo CTA)
- Operational Evidence Library v1 — public-facing, structured surface of 20–30 anonymised institutional engagement outcomes (enrolment lift, retention deltas, market-entry timelines), indexed by use case and source market
- Schema stack live across all priority pages (Organization, Service, FAQPage, Article, Person, Place for in-country offices)
- llms.txt + robots.txt + sitemap optimisation shipped for GPTBot, ClaudeBot, PerplexityBot, GoogleOther
- Core Web Vitals + INP + mobile baseline — technical foundation locked
Problem-First Pillar Architecture — 10 New Flagship Pieces
By Day 120, the priority queries each have a dedicated 2,500–3,500-word pillar built to be the AI-cited answer:
- Differentiator Cluster (4 pillars):
- “The Commission-Free Model: How Grok Replaces Agent Networks For 160+ Institutions”
- “Client-Owned Applicant Relationships: Why Universities Are Moving Off Funnel-Owned Models”
- “Ethical International Recruitment: The AIRC Successor Question”
- “In-Country vs Agent Model: A Decision Framework for Provosts & VP-Enrolment”
- Market Cluster (3 pillars):
- “International Recruitment in India: The In-Country Operating Model”
- “Vietnam & SEA Market Entry For US/UK Universities: A Practitioner Guide”
- “Recruiting From China After 2024: What Changed, What Didn’t”
- Decision-Maker Cluster (3 pillars):
- “The CFO Case For Outsourced International Recruitment”
- “Brand Control vs Scale: How Universities Run International Recruitment Without Losing Either”
- “Enrolment Yield Forecasting With In-Country Partners: What The Models Actually Show”
- Comparison page set (brand-defense): Grok vs IDP, vs INTO, vs Study Group, vs Kaplan, vs Sannam S4 / Acumen, vs the AIRC-agent model
- Internal link graph rebuilt to route authority from problem-first pillars into the Services / Markets / Contact pages
- First measurable AI Visibility Score lift reported — concrete movement on queries where Phase 2 pillars have landed
Content Engine + Citation Velocity
- Monthly publishing cadence: 4–5 long-form pieces with FAQ + schema + named-author E-E-A-T blocks (Grok in-country leads as bylined authors — massive E-E-A-T multiplier)
- “AI search bait” content: question-formatted titles mapped to high-intent Provost / VP-Enrolment / CFO queries we’ve tested AI platforms on
- Digital PR push to land Grok citations on Inside Higher Ed, Times Higher Education, The PIE News, ICEF Monitor, EAB Insights, NAFSA, EducationUSA — tier-1 properties AI models trust
- Reactive PR engine to capture topical waves (US policy shifts, India source-market trends, post-COVID recruitment data, AIRC controversies)
- Republish + structure existing strong assets onto grokglobal.com with full GEO architecture (conference talks, internal market reports, anonymised institutional case studies)
AI Platform Visibility Sprints (Benchmarked Against The Tier-1 Set)
- Monthly visibility audit across ChatGPT, Google AIO, Perplexity, Gemini against the full Tier-1 Buyer Query Set. Tracked as a single AI Visibility Score with bucket breakdowns (Differentiator / Market / Decision-Maker / Category-Formation)
- Targeted content sprints against any priority query where Grok is still absent or partial — build or restructure the specific asset designed to flip that query
- Wikipedia / Wikidata strategy: get Grok Global Services, the commission-free model, and the in-country office network properly entity-modelled (massive multiplier for AI search)
- Knowledge graph + brand-entity optimisation across Google’s Knowledge Panel and AI model training signals
- Quarterly Tier-1 query set refresh with Nicolas — add new priority queries as buyer behavior shifts, drop ones that no longer matter
Authority Compounding & Programmatic Scale
- Programmatic content for the long tail: “[Source market] international student recruitment guide”, “[University type] enrolment partner” templated, evidence-rich, and uniquely valuable per market
- Continuous backlink + digital-PR engine targeting DR50+ higher-ed properties
- Quarterly E-E-A-T refresh on top-performing pages: new client outcomes, refreshed in-country lead bios, updated market-data anchors
- Monthly reporting dashboard: AI Visibility Score (per bucket + overall), AI citation share by platform, branded + non-branded share of voice, organic pipeline contribution by source market
Problem-First Priorities vs. Brand & Category Defense
An indicative split of the Tier-1 query set, structured the way we structured it for Unmind: Problem-First Buyer Queries (where the strategic prize is) vs. Brand & Category Defense Queries (the baseline we still need to hold). Final commitments locked in the Phase 1 discovery sprint with Grok’s sales team and institutional client interviews.
Problem-First Priority Queries
Brand & Category Defense Queries
*Problem-first priority queries are sized by AI-search prompt frequency (estimated from ChatGPT, Perplexity, and Gemini visibility data) rather than classical keyword volume — because these are how buyers prompt AI, not how they Google. Volume labels: High = 1,000+ AI prompts/month (estimated), Med = 300–1,000/month. Brand & defense queries use traditional Ahrefs/Semrush volumes. Final commitments are agreed in the Phase 1 discovery sprint.
12-Month KPI Trajectory: Grok Global
Conservative month-by-month targets based on comparable B2B engagements (including Unmind, who started from a stronger baseline). The compounding profile is the point — Months 1–3 are foundation, Months 4–6 are inflection, Months 7–12 are scale.
| Month | Organic Traffic / mo | MoM Growth | Ranking Keywords | AI Citations / mo |
|---|---|---|---|---|
| Baseline (today) | 144 | — | 12 (1 in Top 3) | ~0 |
| Month 1 | 185 | +28% | 28 | 2 |
| Month 2 | 270 | +46% | 62 | 5 |
| Month 3 | 440 | +63% | 120 | 11 |
| Month 4 | 720 | +64% | 210 | 20 |
| Month 5 | 1,120 | +56% | 340 | 32 |
| Month 6 | 1,640 | +46% | 510 | 48 |
| Month 7 | 2,280 | +39% | 720 | 66 |
| Month 8 | 3,020 | +32% | 950 | 86 |
| Month 9 | 3,860 | +28% | 1,210 | 108 |
| Month 10 | 4,780 | +24% | 1,490 | 128 |
| Month 11 | 5,760 | +20% | 1,790 | 148 |
| Month 12 | 6,750 | +17% | 2,100 | 168 |
| Year-1 Totals | ~31,000 visits | — | 2,100 keywords | ~920 citations |
*Targets are conservative for a B2B services business with Grok’s underlying authority and a near-zero baseline (low baseline = high relative MoM growth in early months). Categories with weaker scientific foundations and worse differentiation frequently exceed these numbers; we’ve modelled cautiously. The defining KPI for B2B services isn’t traffic — it’s AI-search citation share + qualified RFP volume, both of which compound past Month 6.
Timeline & Roadmap
A 12-month plan from audit to category authority
12-Month Execution Timeline
Each quarter builds on the last, moving Grok from invisible-outside-its-existing-network to category citation leader.
- Tier-1 query set locked
- Full GEO/SEO audit
- 8 priority pages restructured
- Evidence Library v1 live
- Schema + llms.txt shipped
- 10 problem-first pillars live
- Comparison page set published
- Monthly content engine running
- Tier-1 PR placements landed
- First AI visibility lift measured
- Digital PR + citation velocity
- Wikipedia / Wikidata work shipped
- AI platform sprint cycle running
- Knowledge Panel optimised
- RFP attribution live
- Programmatic source-market rollout
- Top 3 share on differentiator queries
- AI citation share >25%
- Compounding traffic curve
- Year-2 strategy refresh
Investment & Pricing
Transparent, all-inclusive monthly retainer
AI & SEO Visibility Retainer
A single-tier monthly engagement covering everything in the 5-Phase Plan. No tier games, no surprise costs. Line-item breakdown below for full cost transparency.
| Workstream | What’s Included | Monthly |
|---|---|---|
| Technical SEO & AI Foundation | Technical audits, schema markup, llms.txt, indexation & crawl monitoring, site architecture, internal linking, Core Web Vitals + INP, AI-readability | $1,000 |
| Content Strategy & Production | 4–5 long-form pieces / month (1,800–3,500 words), content briefs, AI-optimised service & market pages, pillar content, FAQ + schema + named-author E-E-A-T on every piece | $1,200 |
| AI Visibility & Entity Building | AI citation optimisation, entity signal development, knowledge graph, structured Q&A formatting, in-country-lead authority bylines, multi-platform testing (ChatGPT, Gemini, Perplexity, Google AIO), weekly AI visibility monitoring | $800 |
| Digital PR & Authority Building | Backlink acquisition, outreach to Inside Higher Ed, Times Higher Ed, The PIE News, ICEF Monitor, EAB Insights, NAFSA, EducationUSA; reactive PR on US/UK policy and source-market trends | $700 |
| Reporting, Analytics & Strategic Consulting | Monthly executive dashboard (AI Visibility Score, citation share, organic + RFP attribution), monthly review call with Nick + dedicated specialist, quarterly executive deck | $500 |
| Project Management & Communication | Dedicated account manager, stakeholder coordination, Slack / email response within 1 business day, workflow management, task planning, in-country-team coordination | $450 |
| Tools, Tracking & Infrastructure | Ahrefs, SEO monitoring systems, AI visibility tracking tools, reporting infrastructure, data dashboards — all included, all yours to access | $350 |
Rolling month-to-month commercial commitment, no annual lock-in. 4–6 month minimum strongly recommended for AI & SEO results to compound (see commercial terms below). All-inclusive — no per-content fees, no per-page surcharges, no PR retainer add-ons.
One Coordinated System — Not A Menu
Each workstream performs because the others run alongside it. Strong content needs the technical foundation to be indexed and AI-crawled. AI citations only happen once authority signals and entity work are in place. Reporting is only meaningful because the team is producing measurable work to report on. The KPI trajectory, organic growth targets, and AI visibility benchmarks all assume the full system is in motion. Removing or downsizing any single workstream materially weakens the others, slows time-to-results, and puts the agreed targets out of reach. The bundled $5,000 is presented as a single investment because every component is load-bearing — it’s a coordinated growth engine, not a list of pick-and-choose tasks.
Try us before committing to the full engagement — $5,000 / one month / no obligation
Nicolas — the strategy on paper is one thing; the work in practice is another. Here’s what we’d ship in 30 days for $5k flat, with the right to walk away at the end:
- ✓Tier-1 Query Set discovery sprint complete (8–12 client interviews + sales team workshop, Day 14)
- ✓Full AI Visibility Baseline across all 4 platforms with live dashboard (Day 14)
- ✓Complete page-by-page GEO audit of grokglobal.com + recommendations roadmap (Day 21)
- ✓3 priority pages restructured & live with full GEO architecture (Day 28)
- ✓1 flagship pillar drafted from the Phase 2 list (your pick of the 10 proposed titles), delivered for review
- ✓llms.txt + schema audit + technical SEO scorecard (Day 30)
- ✓End-of-pilot strategy review with Nick: continue at $5k/mo or part ways — no penalty, no claw-back, all deliverables yours to keep
The 12-month engagement is still the right shape for the outcome you want. The pilot just means you don’t have to take our word for it before you find out.
The ROI Perspective
$60,000 across 12 months. Sannam S4’s organic + AI search traffic alone is conservatively worth ~$110,000/year in equivalent paid acquisition cost (2,180 monthly visits at higher-ed B2B CPC of $25–40). INTO’s is worth ~$1.6M/year. Closing even 5% of that gap pays the engagement back inside Year 1 before counting the compounding effect of Year 2 and the strategic moat of being the AI-cited authority on commission-free recruitment for the next 5 years — a position competitors can’t buy back later.
Commercial Terms
Rolling, transparent, no lock-in — the structure we use with every retainer
The Default Commercial Structure For SD Retainers
These are the terms we run with every long-term retainer. They’re designed to protect Grok — you renew because the work is performing, not because of a contract.
Engagement & Term
Rolling month-to-month commercial commitment, no annual lock-in. 4–6 month minimum strongly recommended for AI & SEO results to compound. The 12-month strategic roadmap is the framework; the commercial commitment renews each month. 30 days written notice to pause or end at any time.
Payment Schedule
Invoice issued in the 3rd week of each month, payable by the start of the following month. Same amount, same date, every month — no surprise charges. Third-party costs (premium media, sponsored content, paid PR placements) quoted and approved separately.
Deliverable Acceptance
Monthly slate agreed at the start of each cycle, presented in the monthly review call with supporting data, accepted in or just after the call. Adjustments fold into the next cycle’s slate — no formal change-order overhead. The work is reviewed live, not via PDFs.
Cancellation & Refunds
End any month with 30 days written notice, no penalties or exit fees. Work delivered in any paid month is non-refundable — deliverables produced against an agreed slate are owned by Grok and compound from month one. The rolling structure exists precisely so you never have to commit beyond the month you’re currently paying for.
Why The Rolling Retainer Is The Right Structure
AI & SEO visibility compounds — Month 1 is infrastructure, Months 2–3 are measurable lifts, Months 4–6 are commercial momentum, Month 6+ is ongoing payback. A rolling retainer means Grok renews because the work is performing, not because of a 12-month contract clause. That’s our incentive too: we keep the engagement by hitting your numbers, every month. Unmind is on Month 9 of the same structure with no lock-in — they renew because AI-attributable revenue is now 28% of new ARR.
Answered Before You Ask
The questions Provosts, CFOs, and Marketing Leaders consistently ask. We preach FAQ sections; here’s ours.
How is this priced compared to an hourly agency model?
Who owns the content you produce?
What if the metrics aren’t moving by Month 6?
How does this overlap with our existing marketing & in-country teams?
Can you work with our existing CMS / brand guidelines / dev team?
What’s explicitly NOT included?
Why Now — International Recruitment Is Being Re-Sorted In Real Time
Three structural shifts are happening at once. AI search is being adopted by exactly the buyer persona Grok sells to, just as the broader category is being re-evaluated by institutions. The window to lock in the AI citation share is open.
The international student recruitment category is in the middle of a generational shift. Post-COVID source-market changes, growing institutional pushback on commission-conflict models, the AIRC consent decree fallout, and rising regulatory scrutiny in the UK and Australia have all created openings for ethical alternatives like Grok. At the same time, the buyers making these decisions — Provosts, VPs of Enrolment, CFOs, Boards — are doing more of their pre-RFP research inside AI tools. The two trends compound: the category is being re-formed exactly as buyers are switching to the discovery channel where Grok is invisible.
The Window Is Open Right Now — It Closes By 2027
Once AI models lock in the category citation leaders (typically within 12–18 months of a category being commercially re-formed), unseating them gets exponentially harder. Sannam S4 and EAB are publishing aggressively into the “ethical recruitment” conversation. INTO and IDP are buying their way into AI search via paid placements on Inside Higher Ed and Times Higher Ed. Grok has 12–18 months to ensure the operationally correct answer — the commission-free, client-owned, in-country answer — is the one AI models default to. After that, you’ll be playing catch-up against worse models with a louder content footprint.
Ready To Lock In Category Authority?
Nicolas — the strategy is built backwards from the queries your buyers are actually running on AI tools today. The 19-year operational track record, the commission-free differentiator, and the in-country footprint are advantages AI models should be citing right now. The work is making sure they can. Let’s run a 30-minute call to walk through the live June audit, agree the Tier-1 must-win subset, and pick whether to start with the 30-day pilot or the full engagement — both are on the table.
30-min Strategy Call
Pilot or Full Engagement
First Pillars Live In 30 Days
Nick Rowe · CEO & Co-Founder, Saigon Digital