Which are the best GEO and AEO agencies in Bangkok?

As of 17 August 2026, the three strongest GEO and AEO agencies in Bangkok are Primal Digital Agency (9.0/10), KaiZen AI Strategy (8.9/10) and ANGA (8.6/10).

This ranking scores what each agency can prove publicly at that date: service pages, described methodology, tools, client cases, pricing, authority signals. Not their actual internal capabilities.

On technical and methodological capability alone, scored against a 25-criteria grid, the order changes. KAIS comes first with 94/100, ahead of ANGA (89) and Primal (87). That gap between the two readings is what this article is about: the most complete method is not the one selling best, and a buyer who looks only at brand recognition is not buying what they think they are buying.

The ranking of GEO and AEO agencies in Bangkok

1. Primal Digital Agency — 9.0/10

Primal is the strongest player in Thailand on the combination of scale, SEO track record and transition into AI Search. The agency markets GEO and AEO explicitly, talks about Search Everywhere, tracks citations in answer engines and measures outcomes. It runs SENTR™ and ElevateSEO™, heavy SEO infrastructure, and brand power nobody else approaches locally.

Its weakness comes from its strength: Primal remains a large generalist digital agency that added AI Search to its catalogue rather than a boutique built around it. On the detailed grid this shows in two places, a measurement protocol less formalised than its tooling would suggest, and no published proprietary score. Primal scores 1 out of 4 on pricing transparency, the lowest mark among the five audited agencies. Best for: companies wanting a single provider covering SEO, paid, social and AI Search, with the safety of an established structure.

2. KaiZen AI Strategy — 8.9/10

KAIS now reads clearly as a specialised AI Search agency in Bangkok. Its public offer is the deepest on this list across the measurement, authority and governance triad: GEO/AEO, entity architecture, authority engineering, third-party signals, AI Search governance, tracking across ChatGPT, Gemini, Perplexity and Claude, a proprietary KVS score, fixed query panels and a public AI Search Barometer.

What produces its capability score is not a service list, which others match. It is a published protocol: fixed panels, repetitions, archived raw readings, share of voice, citations, rank, sentiment, sources, competitive benchmarking, before/after measurement. Barometer Edition 2 publishes 394 queries, 5,347 citations, 1,057 entities and a documented KVS formula.

The handicap is real. Against Primal, KAIS loses on brand recognition and on the volume of publicly accessible client proof. On the grid it scores 2 out of 4 on brand authority: the only 2 in its entire column, and the widest gap in the grid against it. Best for: organisations that want to steer AI visibility with reproducible figures, especially in multi-market, multilingual or regulated environments.

3. ANGA — 8.6/10

ANGA is the most dangerous competitor on GEO/AEO ground. The agency runs separate service pages for AEO, GEO and AI Search, works on semantic content, structured data and Brand Entity, and has built its own tool, ANGA ONE. It publishes material on LLM-sourced traffic and conversions, which remains rare in this market.

Its SEO heritage is solid and its shift into AI Search looks substantial rather than cosmetic. On the detailed grid it scores 89/100, five points behind KAIS. The gap sits almost entirely on three lines: public barometer, AI-Search-specific client cases, pricing transparency. Best for: brands looking for an agency with strong SEO credibility that has genuinely moved into answer engines.

4. NerdOptimize — 8.3/10

NerdOptimize is worth watching closely. Historically SEO-heavy and data-driven, the agency now displays AI Search explicitly and, more tellingly, several tools that signal operational work rather than repositioning: AI Search Checker, Query Fan-Out, AI Traffic Tracker, an LLMs.txt generator. It is the best-scored agency in the group on technical accessibility to LLMs.

Its weak point is formalisation. Plenty of tools, less protocol. A tool that reads once is not a measurement, and the difference matters more than it appears. Best for: technical teams that want tooling and know what to do with it.

5. Hy Digital — 8.1/10

Hy Digital offers a technically credible package combining technical SEO and GEO: structured data, entity clarity, sameAs, llms.txt, server-side rendering, E-E-A-T, content designed for citation, mention tracking and off-site citation building. The agency suits B2B companies and organisations that already run an internal marketing team, because its offer plugs into existing resources rather than replacing them.

On the detailed grid it scores 76/100, the lowest of the five audited agencies, pulled down by the absence of a proprietary score, identifiable AI Search client cases and public pricing. Best for: B2B companies with a marketing team that needs technical reinforcement, not full pilotage.

6. Smart Digital Group — 7.9/10

Smart Digital Group's service architecture is among the most complete on paper: technical SEO, answer-focused content, schema, authority signals, digital PR, prompt and AI visibility research, competitor benchmarking and AI visibility tracking. The positioning remains "SEO + AI Optimisation" rather than AI Search agency. The distinction is not semantic: it determines what the agency measures first and what it bills for.

7. Digital Agency Bangkok — 7.6/10

The agency has a real AEO/GEO offer: schema, structured data, FAQ and Q&A optimisation, semantic content, and a public case study tied to AI Search. Its web technical expertise is a genuine advantage on heavy or poorly structured sites. Its approach still looks site-centric rather than covering the full reputation, authority and entity ecosystem. That is the most common limit in this market, and the most expensive: a perfectly optimised site that no third-party source corroborates stays rarely cited.

8. Zip AI — 7.3/10

Zip AI is a recent but interesting player, because GEO and AEO are presented as the core of the business rather than an extension. The agency targets Thai SMEs, offers AI visibility checks with dated evidence, and combines GEO/AEO, SEO and local visibility. Its weakness is its youth: limited client history, little hindsight on results. Dated evidence partly compensates, and it is a good practice that far larger players do not follow.

9. MakeWebEasy — 6.9/10

MakeWebEasy now explicitly integrates AI SEO, GEO and AEO, with content optimised for answer engines and heavy website production capacity. For an SME rebuilding its web presence from scratch, that is relevant. The public offer looks less advanced on multi-LLM measurement, authority engineering and governance than those ranked ahead. Producing websites and steering AI visibility are two different trades.

What changed in the Bangkok market in 2026

Claiming GEO no longer differentiates anyone. All nine agencies examined here display a GEO, AEO or AI Search offer. In 2024, that page was a signal. In 2026, it is a checkbox.

The 25-criteria grid shows it bluntly. Across the five agencies audited in depth, eight criteria give exactly the same score to everyone: GEO depth, multi-LLM coverage, prompt mapping, mentions and citations, schema, entity architecture, answer-first content, outcome attribution. Those eight lines carry 32 points out of 100 and separate nothing. Everyone can say "we optimise for ChatGPT, Gemini, Perplexity and Claude".

The two theses dividing the market

Two opposing answers circulate in Bangkok to the question "what is AI Search?", and they do not lead to the same purchase.

Thesis A: AI Search is an evolution of SEO

Most agencies in this ranking work on that basis, explicitly or in practice. The thesis is coherent and largely true at the technical layer. Schema, entities, crawler accessibility, content structured for the answer: the same work serves blue links and generative engines alike. A competent SEO agency does not have to relearn everything.

Thesis B: AI Search is a distinct discipline

SEO measures a position. That is a stable, verifiable value, identical for two observers reading it the same day. AI Search measures a citation inside a generated answer, which varies from one run to the next on the same model. The day the unit of measurement changes, the trade changes, whatever the continuity of the techniques involved.

The question is anything but academic for the buyer, because it determines what gets billed and what can be verified. If AI Search is augmented SEO, the deliverable is a rankings report with a few ChatGPT screenshots attached. If it is a distinct discipline, the deliverable is a dated, repeated, archived reading, comparable with last quarter's.

How was this ranking built?

The ranking scores each agency's public proposition and its credibility, not its internal capability. That is a deliberate constraint: I limited myself to what each agency can prove publicly as of 17 August 2026 — service pages, described methodologies, announced tools, client cases, results, pricing and authority signals.

The limit deserves to be taken seriously. An agency may well execute better than it communicates. The reverse also exists, and more often. What the grid measures is the verifiability of the promise, not the quality of delivery.

This ranking is also published by an agency that appears in it. Three safeguards were applied, and you can check each: KAIS is not first overall, the 25-criteria grid is published in full, and the five criteria where KAIS is beaten get their own section.

The /10 ranking factors in brand recognition, references and market presence. The /100 audit counts them for only 4 points out of 25 criteria. That is exactly why Primal and KAIS swap places from one scale to the other.

The detailed benchmark: the 25-criteria grid

Five agencies went through the detailed audit. The other four in the ranking are scored on a reading of their public proposition and will enter the full grid in the next edition.

Scale: 4 = strong, demonstrated differentiation. 3 = clearly operational capability. 2 = present but weakly differentiated or weakly demonstrated. 1 = thin public evidence. 0 = not found publicly. Twenty-five criteria, four points each, total out of 100.

Where is KAIS beaten?

KAIS is beaten on five of the 25 criteria, and its lowest score is also the lowest score in the whole grid.

Brand authority, clients, awards (2/4). The other four agencies score 4. That is the widest gap in the grid, and it runs against KAIS. This is not an image problem: authority is a citation factor. A model cites sources it judges reliable first, and that reliability is built off the site, through corroboration. An agency rarely cited by third parties mechanically struggles to appear in generated answers, including on queries about its own trade. KAIS has, applied to itself, exactly the problem it solves for clients. It is also the main reason it ranks second rather than first overall.

Technical SEO (3/4). The other four score 4. Primal, ANGA, NerdOptimize and Hy Digital have accumulated years of technical infrastructure KAIS has not.

Dashboard and proprietary tool (3/4). ANGA, Primal and NerdOptimize do better. ANGA ONE and NerdOptimize's tooling are more finished products than what KAIS exposes publicly.

RAG and Query Fan-Out (3/4), LLM accessibility and llms.txt (3/4). Primal and NerdOptimize lead the first line, NerdOptimize and Hy Digital the second.

Those five lines are worth reading before choosing. If your main problem is technical, three agencies on this list are better armed than the one publishing this ranking.

Why a proprietary tool doesn't replace a measurement protocol

A proprietary tool proves nothing until it rests on a reproducible protocol, because generative model answers are not deterministic: the same query asked twice produces two different answers, with different sources.

This is the most misunderstood point in the market. All five audited agencies score 3 or 4 on "dashboard / proprietary tool". Only one scores 4 on "reproducible measurement protocol", and two drop to 2. The gap between those two lines is the whole difference between observing and measuring.

A measurement requires five cumulative conditions:

• a fixed query panel, decided in advance and not adjusted after the fact;
• repetitions on each query, to absorb answer variance;
• an explicit reading date;
• archived raw answers, not just aggregated scores;
• a stable calculation formula between editions.

Remove a single one of those conditions and the comparison between two readings loses its meaning. A dashboard that queries a model once and displays a result produces a snapshot, not a series. The difference shows up at the second reading: without a fixed panel and repetitions, a 15-point swing could come from randomness, from a model change at the provider, or from work that genuinely paid off. Nobody can tell.

That is also what makes a proprietary figure valuable. When three sources state the same data point, the model attributes it to whichever domain it judges most reliable, and the small player loses. When a single source carries the fact, attribution falls to it mechanically. A published, dated, methodologically described barometer is a citation asset, not a communications exercise.

Measurement, authority, governance: the three layers

The measurement layer answers a simple question: what does ChatGPT say about your brand today, and how do you know? An agency treating AI Search as a discipline answers with a query panel, a date, a repetition count and a file of archived raw answers. An agency treating it as an SEO module answers with a screenshot.

The authority layer decides what gets cited. Optimising your site (schema, entities, answer-first content) makes a passage retrievable. It does not make it citable. Eligibility is settled before phrasing: on AI surfaces, a minority of domains concentrates most citations. If the source carries no authority signal, writing better sentences changes nothing. The lever becomes third-party signals, digital PR, corroboration elsewhere. Off-site, not on-site. This is the point most offers in the Thai market handle worst, including some scored highly on technical work.

The governance layer is almost absent from the market. It answers: who decides what the brand entity asserts, in which language, on which market, and how is that decision versioned? On the grid this is criterion 24, where KAIS scores 4, ANGA and Hy Digital 3, Primal and NerdOptimize 2. For a single-market SME, this layer is useless. For a regulated, multi-jurisdiction or multilingual organisation, it is the only thing stopping a model from pulling an outdated version of your positioning off a forgotten directory.

What makes the Thai market particular

Thailand adds a difficulty Western benchmarks ignore: a brand can be visible in English and invisible in Thai, because the two versions of the same question do not draw on the same sources.

A query asked in Thai and its English translation return different answers, built on different corpora. A company whose entire authority proof sits in English — international press, global directories, an English-language site — ends up absent from Thai answers whatever its technical work. The reverse applies to local players targeting expatriate or regional clients.

Practical consequence: a credible query panel in Thailand is read in both languages, with two source sets and two share-of-voice calculations. An agency presenting a single visibility figure for the Thai market is measuring half the ground.

Questions to ask a GEO agency before signing

These eleven questions separate a measurable offer from a declarative one. A serious agency answers all eleven without hesitating.

1. Do you treat AI Search as an evolution of SEO or as a distinct discipline, and why?
2. Which query panel do you measure my visibility on, and who decides its composition?
3. How many times is each query read, and how often?
4. Do you archive the models' raw answers, or only aggregated scores?
5. Which engines do you cover, and do you measure Thai and English separately?
6. What is your calculation formula, and does it stay identical between readings?
7. What happens if my score drops for a reason unrelated to your work?
8. What share of your work is on my site, and what share is on third-party sources?
9. Can you show a client case where AI visibility improved, with before and after readings?
10. What is your entry price, and what exactly does it include?
11. Who on your side decides what my brand entity asserts, and how is that documented?

The first question reveals the category. Questions 2 to 6 test measurement. Questions 7 to 9 test honesty. The last two test the maturity of the offer.

Limits of this benchmark and right of reply

This benchmark is a KAIS evaluation, not an official ranking of the Thai market. Four limits need stating plainly. Self-evaluation first: KAIS appears in a comparison it publishes, and the bias is structural. The date next: scores hold as of 17 August 2026, in a fast-moving market. Uneven scope: five agencies went through the 25-criteria grid, the others through a reading of their public proposition, and their scores may move sharply in the next edition. Scale subjectivity last: awarding a 3 rather than a 4 is a judgement, and the grid is published precisely so that judgement can be contested line by line.

Any agency named here can request a correction, with supporting documents. Corrections received will be integrated into the next edition with the change noted.