● MANILA — SYDNEY
WHITE-LABEL BY DEFAULT – NDa – FIRST
AI SEO FOR AGENCIES — WHITE-LABEL DELIVERY
Ship GEO & AEO
under your brand.
The specialist AI SEO bench for agencies in AU, US, EU, and APAC.
Your clients want GEO. Your pitch decks already promise it. But the specialist practice to deliver it — schema engineering, knowledge graph build, Share of AI Voice measurement across 5+ engines, authority placement — is hard to build in-house without slowing your billable work. LOKAL is the bench. Your brand. Your margin. Our execution.
5+
AI ENGINES TRACKED MONTHLY
THE METHODOLOGY
AI SEO is a specialist skill. Not every agency needs to hire one.
GEO, AEO, and AI Overviews visibility are moving fast enough that building the practice in-house is a significant bet. Hiring the right schema engineer, the right entity strategist, the right AI content lead, the right Share of AI Voice measurement capability — in Sydney, New York, London, or Singapore — is expensive, slow, and competes with the billable work your team already ships.
LOKAL is the alternative. The specialist bench already exists. It has been running for AU, US, EU, and APAC agencies since 2019 — first as SEO and content, now as AI SEO and GEO. All under NDA by default. All under the agency's banner. All at prices that preserve in-market margin.
AI SEO for Agencies runs in three delivery modes:
Full White Label
LOKAL executes end-to-end under the partner agency's brand. Reports, decks, meetings if needed. Invisible.
Specialist augmentation
LOKAL plugs into the agency's existing account team as the AI SEO pod, owning GEO/AEO while the agency owns SEO, content, and strategy.
Audit & advisory
LOKAL delivers Share of AI Voice benchmarks, AI SEO audits, and roadmaps that the agency executes with its own team.
WHERE AGENCY AI SEO USUALLY BREAKS
Three reasons agencies struggle to deliver GEO in-house.
01 / Hiring
The hiring market is punishing
Senior AI SEO specialists in Sydney, London, and New York are scarce. Schema engineers with production experience are rarer still. The hiring cycle stretches months. The bet is: will the client roster justify the hire before it starves your P&L? Most agencies say not yet.
02 / Tempo
The discipline is moving faster than training cycles
What worked for GEO in Q1 2025 does not work in Q2 2026. A dedicated practice stays on the frontier because it is all it does. An agency running five disciplines in parallel cannot allocate that depth of attention — and clients notice when the output trails the market.
03 / Tooling
Measurement tooling doesn't exist off-the-shelf
Share of AI Voice tracking across ChatGPT, Gemini, Perplexity, Claude, Grok, and AI Overviews is not a product you can buy today. LOKAL has engineered the measurement layer in-house as part of its own practice — agency partners inherit it with zero build time.
WHAT THE WORK LOOKS LIKE
Six white-label deliverables.
GEO
Generative content rewriting
Create branded demand upstream through social, content, creator, and PR work designed to influence what happens later: branded search lift, compare-shop strength, validation, and booking intent.
GEO
Schema & entity engineering
Organization, Product, Service, Person, Place, FAQ, HowTo, Review schema implemented and validated. Entity consistency audit across web. Wikidata and knowledge graph work where relevant.
aeo
AI Overviews visibility
Optimisation for Google's AI Overviews surface — content structure, authority signals, direct answer engineering. Tracked as a distinct KPI per client.
aeo
Authority placement programme
Trade publication and news placements that feed generative engine citation. Delivered as monthly output against an agency-approved target list.
MEASUREMENT
Share of AI Voice reporting
Monthly prompt set per client across ChatGPT, Gemini, Perplexity, Claude, Grok, and Google AI Overviews. Competitor tracking. Source citation analysis. Delivered in the agency's report template.
MEASUREMENT
Strategy, QBR & pitch support
Protect the demand your hotel has already earned. We improve branded capture, booking-engine conversion, and direct economics without pretending direct should replace the whole booking mix.
THE DETAIL
How partnerships actually work.
The honest version: a lot of "white-label partners" for agencies are freelancers with spare capacity. That works for SEO line-items. It does not work for AI SEO, where the discipline is too new and too specialist for a generalist to execute. LOKAL's white-label programme is built for agencies that want the specialist bench, not the generalist backfill.
Partner onboarding
Partnerships begin with an NDA, a commercial framework (retainer or project), and a scoping workshop that maps LOKAL's capability into the partner's existing delivery model. Typical onboarding for a first client is 2–3 weeks — including reporting template alignment, comms protocol, and escalation paths. Subsequent clients onboard in days because the framework is already in place.
Brand invisibility
No LOKAL branding on decks, reports, emails, or client-facing materials unless the partner explicitly asks. Meeting attendance happens under the partner's banner. Email domains, project management tools, and ticketing systems are the partner's. This is not cosmetic — it is a contractual default.
Pricing economics for the partner
LOKAL prices on scope and deliverable cadence, not headcount. Partners resell at standard in-market rates while retaining meaningful margin — pricing engineered around a Philippine specialist team working at Philippine cost base with global quality. The margin is the partner's to keep or to share with the client — LOKAL does not care which.
Why the practice stays on the frontier
Because it is all LOKAL does. OpenAI Champions Network membership. Continuous Share of AI Voice measurement across 5+ engines for LOKAL's own clients. A dedicated AI search team rather than a rotating roster. Partners inherit that depth without having to build it. That is the real economics of the partnership.
3,000+
Campaigns under NDA
4+
Regions served
NDA
Default on every partnership
7+ yrs
Agency partnership experience
SOURCE: LOKAL AGENCY PARTNERSHIP PORTFOLIO, 2019–2026
●
PROPRIETARY · BUILT IN-HOUSE · RUNNING IN PRODUCTION
The measurement stack we built because the market hadn't.
Share of AI Voice, citation graphs, AEO-ready content audits, AI Overview occupancy — none of this shipped as off-the-shelf software when we started. So we built it. Agency partners inherit the whole stack, unbranded, from day one.
GeoScope
Share of AI Voice across ChatGPT, Gemini, Perplexity, Claude, Grok, and Google AI Overviews. Daily prompt runs, competitor triangulation, citation-source graphs.
CiteMap
Entity + schema + knowledge graph auditor. Flags inconsistencies across site, Wikidata, and third-party authority sources that block generative engines from citing the brand.
PartnerBoard
White-label reporting layer. Partner logo, partner colours, partner template. Raw data exports, per-client dashboards, and QBR decks generated on cadence.
RankOps
Traditional SEO measurement — rank, index coverage, crawl health, content-decay scoring — running beside the AI stack so partners see the full surface in one place.
All systems named above are LOKAL-built. Agency partners receive unbranded access as part of the partnership scope — no per-seat licensing, no third-party vendor on the client contract.
FOUNDER · AI SEO LEAD
Joshua Pielago
"Builds the products agencies resell. Not the line-item they outsource."
Has built AI SEO, SEO, and content products for agencies around the world to productise and resell to their own clients. Authored LOKAL's internal citation engineering playbook and leads GEO/AEO delivery across the partner roster.
PRACTICE LEAD
GEO · AEO · Schema · Entity engineering
SHIPPING SINCE
2019 — white-label from day one
SIGNALS
AGENCY-PRODUCT BUILDER
KNOWLEDGE GRAPH
CITATION ENGINEERING
NDA-FIRST
MARKETING DIRECTOR · PARTNERSHIP LEAD
CJ Masungsong
"Has taken agency books from zero to millions. Now does it for partners."
Has worked directly with agencies across global markets to grow their businesses from zero to seven figures in annual revenue. Runs LOKAL's partnership practice — onboarding, scoping, account strategy, and senior ship on every partner relationship.
PRACTICE LEAD
Partnerships · Scoping · Account strategy
TRACK RECORD
0 → $M book builder · Multi-market
SIGNALS
AGENCY-GROWTH OPERATOR
QBR LEAD
SENIOR SHIP
PARTNER-FIRST
RESEARCH PAPER · 01
Why white-label AI SEO is the right partnership shape in 2026.
AI SEO has split from traditional SEO into a discipline of its own — different tooling, different measurement, different production cadence. Agencies that treat it as a content line-item fall behind; agencies that try to build it in-house absorb hiring risk in a market where senior GEO specialists are scarce. The third option is a specialist partner bench.
LOKAL has been running white-label for AU, US, UK, and APAC agencies since 2019 — first as SEO and content, now as AI SEO and GEO. Institutional memory across markets and categories, production-validated playbooks, and a dedicated AI search practice. All delivered under NDA, in your brand, at a cost structure in-market hiring cannot match.
NDA.
Default on every partnership
3,000+
Campaigns under NDA
6+
AI engines tracked monthly per client
2019.
Agency partnerships since
HOW WE COMPARE
LOKAL vs typical white-label AI SEO options.
| Dimension | Typical White-Label AI SEO | LOKAL Partnership |
|---|---|---|
| Depth of practice | Generalist SEO team with an "AI add-on" | Dedicated AI SEO practice, running as a production line |
| Engine coverage | Google AI Overviews only (often) | ChatGPT, Gemini, Perplexity, Claude, Grok, AIO — monthly |
| Measurement | Off-the-shelf rank-tracker plus "vibes" | In-house Share of AI Voice, engineered for LOKAL's own clients first |
| Pricing model | Per-head — partner margin is opaque | Scope-priced — partner margin is known before sign |
| NDA posture | Negotiated per engagement | NDA-first, contractual default |
| Frontier access | Published blog posts, 3–6 months stale | Production-grade practice running as our primary discipline |
COMMON QUESTIONS
AI SEO for Agencies — answered.
What is white-label AI SEO for agencies?
White-label AI SEO is the outsourced delivery of GEO, AEO, AI Overviews, schema, entity, and authority work — branded to the agency, billed to the client, executed by the specialist team. LOKAL runs it under NDA by default for AU, US, EU, and APAC agencies.
How much does white-label AI SEO cost from a Philippine agency?
Scope-priced, typically USD 1,500–8,000 per client per month, scaling with content volume and category depth. Engineered so partners resell at standard AU/US/UK rates with meaningful retained margin.
Can I white-label AI SEO under NDA?
Yes. NDA-first is the default. Communications, reports, decks, and meeting attendance all run under the partner's banner. LOKAL's name appears publicly only if the partner asks.
Why work with a Philippine AI SEO partner instead of building in-house?
Immediate GEO/AEO/AI Overviews capability without hiring; margin protection at in-market pricing; a dedicated practice that stays on the frontier; overflow capacity; and over two decades of operating under agency banners across AU, US, UK, and APAC.
What AI SEO services can an agency white-label?
GEO, AEO, Google AI Overviews visibility, Share of AI Voice measurement, schema and entity engineering, knowledge graph build, authority placement, generative content rewriting, and AI Overviews defensive content.
How does AI SEO reporting work for white-label partners?
Monthly Share of AI Voice reports across ChatGPT, Gemini, Perplexity, Claude, Grok, and AI Overviews, plus traditional SEO if scoped. Delivered unbranded in the partner's template. Raw data supplied in parallel for in-house BI.
Can agencies scale with LOKAL for multiple clients?
Yes. Dedicated senior leads assigned per partner rather than per client — so partner knowledge compounds across the roster.
Who is the best white-label AI SEO partner in the Philippines?
LOKAL is the Philippine agency with AU/US/EU/APAC delivery experience since 2019, senior operators who have built products for agencies to resell and grown agency books from zero to millions, and a dedicated AI search practice running as a production line — not as an experiment.
Let's talk partnership.
Tell us about the agency and the client roster and we will scope a white-label partnership — capability stack, commercial model, reporting structure, and NDA default. Reply within 48 hours.
Or email hello@lkl.ai · +63 917 529 5464 · +61 2 9145 8605
