International AEO Agency: Getting Cited by AI Assistants in Every Market You Sell In

Updated October 2026 · Written and maintained by the Progression Agency strategy team

An international AEO agency does answer engine optimization across borders: it makes a company the source that ChatGPT, Claude, Perplexity, Gemini, Microsoft Copilot and Google AI Overviews name and link when a buyer asks in another country or in another language. The service is for exporters, software companies, manufacturers, ecommerce brands and professional firms with more than one market, and it produces a set of pages, local confirmation and measurements for each market separately. Progression Agency is based in New York City and works with clients across the United States and worldwide.

What does an international AEO agency do?

It makes a business citable in every market it sells in, not only at home. An assistant asked a question in German from Munich looks for German-language evidence about a company that can serve a German buyer, and an English page written for American readers answers a different question. The work closes that gap one market at a time: deciding which countries and languages deserve their own pages, making those pages readable by AI crawlers, stating the local facts in the local language, earning confirmation from sources inside the country and measuring each market on its own.

Rankings by country, the choice between a country domain and a subfolder, and hreflang implementation belong to our international SEO agency page. The method every engagement shares is on the answer engine optimization agency page. This page covers what changes when the answer has to be right in more than one country or language.

Who needs AEO in more than one market?

Companies with customers in more than one country, or in more than one language inside one country. That includes exporters and manufacturers with distributors abroad, software companies selling subscriptions across regions, ecommerce brands that ship internationally, professional firms with offices in several jurisdictions, and foreign companies entering the United States. A US company that sells in English and Spanish at home belongs here as well, because the language changes even though the country does not.

What does the work include?

• A market and language map: which countries, which languages, and whether each gets a full version, a landing page or a place on the watch list.
• A fixed prompt set for each market, written in the market’s language by a native speaker and run on a schedule.
• An access review of every host, country domain and subdomain: robots.txt, firewall and CDN rules, and Google’s generative AI control for each Search Console property.
• Market pages with the facts localized in visible text: prices and currency, units, legal entity, certifications, delivery and support hours.
• hreflang and canonical checks, so each version points to its siblings and to itself.
• Structured data that states language, currency and area served, matched to what the page shows.
• A local source plan per market: official register, map and business listings, directories, review platforms, trade bodies and press.
• A claims review per market, so prices, comparisons and endorsements fit local advertising rules.
• Reporting per market: prompt-set results, Search Console and Bing Webmaster Tools data, and referral traffic by country.

What is left to other pages and services?

International work touches contracts, site builds and paid media as well. Those have their own pages, and this one does not repeat them.

• Which countries we work with, privacy law by country and how cross-border engagements are contracted: worldwide clients and international clients.
• Approval paths, template ownership and who owns measurement inside a large organization: enterprise AEO.
• Map-led visibility for one location in one town: local AEO.
• Designing and building the translated site itself: multilingual website design.
• Advertising, social and campaigns in each country: global marketing agency.

How do AI assistants handle country and language?

They treat location and language as inputs to the search step, and their documentation says so. What follows is limited to what each vendor publishes. Where the documentation stops, this page says that it stops.

OpenAI: ChatGPT search and the web search tool

OpenAI’s developer guide for its web search tool says results can be refined by geography when an application passes an approximate user location made up of a country, city, region and time zone, with the country given as a two-letter ISO code. The same guide lets a developer restrict a search to a list of allowed domains. OpenAI’s crawler documentation names OAI-SearchBot as the agent that surfaces sites in ChatGPT’s search features, and says a site that opts out of it will not be shown in ChatGPT search answers. OpenAI also publishes the countries and territories where its API is supported. None of these pages says how ChatGPT chooses between two language versions of one page.

Anthropic: Claude

Anthropic’s help article on web search says Claude may use a person’s location, inferred from the IP address, when a request calls for localized results, and that responses come with citations. The developer documentation for Claude’s web search tool has a user_location setting (city, region, country, time zone) that localizes results. On language, Anthropic says Claude infers the response language from the conversation, and it publishes scores by language relative to English that are lower for languages with fewer digital resources. Supported countries and regions are listed separately.

Perplexity

Perplexity’s Search API takes a country setting, an ISO country code, to return results that are more relevant geographically, and a search language filter that limits results to as many as ten languages given as two-letter codes. Its agent web search tool accepts a user location made up of country, region, city and coordinates. Its crawler page says PerplexityBot exists to surface and link websites in Perplexity’s search results.

Google: AI Overviews, AI Mode and Gemini

Google publishes the countries, territories and languages in which AI Overviews and AI Mode are available, and says the Gemini web app works in more than 70 languages across over 230 countries and territories. Its guidance for site owners says a page must be indexed and eligible to appear with a snippet before it can be a supporting link in AI Overviews or AI Mode, and that the same SEO fundamentals apply. That ties Google’s AI answers to its ordinary index, where language and country targeting are documented in detail.

Microsoft Copilot and Bing

The AI Performance report that Microsoft added to Bing Webmaster Tools shows how often a site’s pages are cited in Copilot, in AI-generated summaries in Bing and in selected partner products, with the grounding queries behind those citations. The announcement of that report points businesses with premises to Bing Places so that address, hours and contact details stay current in AI responses. Microsoft’s guidance on content for AI search answers explains that Copilot breaks pages into pieces and assembles an answer from several sources. We found no Microsoft page that documents how Copilot picks a language version, so we treat that as something to test in each market.

Editorial view, not a vendor statement: because every documented search tool accepts a location, and because Google’s AI answers sit on an index that already separates countries and languages, we plan on the basis that the same question returns different sources in different markets. That is a planning assumption we test with each market’s prompt set. No vendor has published it as a rule.

Can AI crawlers reach every country version of the site?

Only if each host lets them in. Access is decided per host and per property, so a company with three country domains has three robots.txt files, three firewall configurations and three Search Console settings to get right.

One robots.txt per host

Under the Robots Exclusion Protocol (RFC 9309) a robots.txt file governs the host it is served from, so example.de, uk.example.com and example.com each answer for themselves. Anthropic’s crawler documentation tells site owners to repeat an opt-out on every subdomain for the same reason. The fault to look for is drift: the main domain admits the documented search crawlers while a country domain still carries an old blanket rule, or sits in a regional CDN account with different bot settings.

Google’s generative AI control is set per property

Search Console has a Search generative AI control that includes or excludes a site’s content from AI Overviews, AI Mode and the generative features in Discover. A property inherits the setting from its parent property, and Google’s own example makes the point that example.co.uk is not a child of example.com. A company with country-code domains therefore has one control to check per domain, while a subfolder site has one in total. Google says an exclusion generally takes a few days to take effect.

Geo-redirects and language negotiation

Google explains that Googlebot crawls mostly from IP addresses in the United States and sends no Accept-Language header, so a site that chooses the version from the visitor’s IP address or browser language may never show Google its other versions. Google recommends a separate URL for each locale and advises against redirecting visitors automatically on a guess at their language. OpenAI, Anthropic and Perplexity publish the IP ranges their crawlers use; none describes crawling from several countries or sending a language preference. The safe design is the same for all of them: one URL per market version, reachable by an ordinary link, with no redirect that depends on where the request comes from.

• Fetch robots.txt from every country domain and subdomain and compare the groups that name AI crawlers.
• Request one URL per template on each host with each documented crawler’s user agent and record the status code.
• Request each market URL from an address outside that market and confirm it does not redirect to another version.
• Confirm each version is reachable from its siblings through ordinary links, not only a script-driven country switcher.
• Read the generative AI control for every Search Console property.
• Compare CDN and firewall bot settings across regional accounts and zones.

The crawler-by-crawler detail is on our LLM SEO page, and the server and CDN layer is handled with our technical SEO agency team.

Are hreflang and regional pages evidence an assistant can use?

For Google’s AI features, yes, by way of the index. For the other assistants, nobody has documented it either way. Regional pages matter in both cases, because an assistant can only quote a local fact that some page states.

What Google documents

Google’s documentation on localized versions of a page says hreflang helps Search point people to the right version by language or region, that the HTML, HTTP header and sitemap methods are equivalent, that each version must list itself and every other version, and that annotations are ignored unless two pages point at each other. It also says Google does not use hreflang or the HTML lang attribute to detect a page’s language; it reads the visible content. A supporting link in AI Overviews or AI Mode has to come from that same index, which makes hreflang the documented way to tell the index behind those features which version belongs to which market.

What the other vendors do not document

The crawler and search tool documentation from OpenAI, Anthropic and Perplexity does not mention hreflang. We therefore do not sell hreflang as a lever for ChatGPT, Claude or Perplexity. Editorial view: its value there is indirect. Clean hreflang keeps each market’s URL canonical to itself and stops versions from being merged in any index built from the open web. Writing and validating the annotations is covered by our hreflang guide and checker and by the international SEO engagement.

What a market page has to say in visible text

Because language is read from the visible page, the facts that make a version local have to be on the page as sentences, table cells or list items. Markup and URL patterns do not carry them.

• The country or region served, named in the first paragraph.
• Prices in the local currency, with tax shown the way that market expects.
• Units, sizes and standards as they are used locally.
• The legal entity that sells there, written as it appears on the national register.
• A local address, phone number and support hours, where they exist.
• Delivery, returns and warranty terms for that market.
• Local certifications, approvals or memberships, with the issuing body named.
• The date the page was last checked.

Is translating the site enough, or does each answer need localizing?

Translation changes the words; localization changes the facts. An assistant quoting a translated page will repeat the home market’s price, units and terms in the buyer’s language, which is a confident wrong answer.

What translation alone leaves wrong

A page translated from American English into French still quotes dollars, inches, a US phone number and a returns policy that applies in the United States. Nothing on it tells a reader, or a crawler, whether the company sells in France at all. Google shows the gap from the other side: to fill gaps in what is available in a searcher’s language, it may display a machine-translated title and snippet for a page written in another language. Content can cross a language border, in other words, without the facts being adapted for the reader on the far side.

Which facts change by market?

The ones a buyer acts on. The table lists them with the place each should be stated and the schema.org property that can repeat it for machines.

Language tags follow BCP 47, whose subtags are kept in the IANA language subtag registry; that is where the difference between pt-BR and pt-PT, or es-MX and es-ES, is defined. Google is explicit that structured data is not required for its generative AI features and has to match the visible page, so the properties above support the text and never stand in for it.

Can machine translation be used at scale?

Machine translation with native editing is a reasonable way to produce product descriptions and help articles. Publishing unedited machine translations of an entire site is a different act. Google’s spam policies define scaled content abuse as producing many pages mainly to manipulate rankings, with little value for users, however the pages are made; one of the examples is pages generated by automatically transforming existing content, translation included. Its guidance on generative AI content applies the same test to AI-assisted pages. Our rule: a page that has to be cited is written or edited by someone who reads the language natively and has the market’s facts in hand.

• Each claim on the page is true in that market, not only at home.
• Numbers carry their unit and currency in the same sentence.
• Dates name the month in words, so day and month cannot be swapped.
• Brand, product and legal names are spelled the way local sources spell them.
• Comparisons name competitors that exist in that market.
• Examples and place names are local.
• Regulatory wording has been checked against the local rule.
• The page links to its sibling versions with ordinary links.

How do answers differ between English-language markets?

The words barely change and the facts do. An assistant answering a buyer in London, Sydney or Toronto needs the price in that currency, the tax treatment, the units, the regulator and the delivery terms that apply there. A single page written for American readers states none of those, however good its English.

Google’s documentation deals with this case directly. It recommends hreflang where content has small regional variations in one language, gives English pages aimed at the United States, Great Britain and Ireland as its example, and suggests a generic English page as the catch-all for readers in countries that have no version of their own. It also says localized versions are treated as duplicates only when the main content stays untranslated, which is exactly the position of two English pages that say the same thing. Different facts are what make them different pages. Advertising rules differ too: the Federal Trade Commission’s requirements, the United Kingdom’s CAP Code and Canada’s Competition Act are separate rule sets. Spelling matters less than it looks. A British page with American prices is still an American page.

What changes for right-to-left, Chinese, Japanese and Korean pages?

The engineering around the text changes; the method does not. Arabic and Hebrew pages need the text direction declared in the HTML, Chinese versions need their script identified as well as their language, and every such page needs UTF-8 encoding, correctly escaped URLs and company names written the way local registers and directories write them.

HTML has a dir attribute for right-to-left text and a lang attribute that takes a BCP 47 tag. For Chinese, Google’s hreflang documentation accepts zh-Hant and zh-Hans for Traditional and Simplified script, or derives the script from the region, as it does for zh-TW. A two-letter language code on its own, the kind Perplexity’s language filter takes, does not say which script a page is written in. Google also states that localized words in URLs and internationalized domain names are fine, provided the URL is UTF-8 and properly escaped. Names are the last piece. Japan’s National Tax Agency, for example, lists a company’s name in English only where the company has registered an English form, so the English name on the website should match that record.

Which local sources and directories matter in each market?

The ones a local buyer, journalist or regulator would check: the national company register, the map and business listings used in that country, the directories and review platforms of the trade, and the local press. Assistants assemble answers from several sources, so a company confirmed only by its own website is weakly supported in any market.

Official registers

A register entry is the root record that other databases copy. If the legal name, address or status on the register differs from the website, the mismatch tends to travel into the directories that reuse register data. We check the entry first and correct the site, or ask the client to correct the filing, before anything else. This is editorial practice based on how business data spreads; no vendor documents reading registers directly.

Map and business listings

Google’s guidance for site owners says up-to-date Business Profile information helps a business appear in AI responses as well as in ordinary results, and Microsoft says the same of Bing Places. A company with premises in several countries needs a listing per location that matches the local page: same name, same address format, same hours. The per-location method is on our local AEO page, and the free Google Business Profile and NAP audit checks one location at a time.

Directories, review platforms and trade bodies

Every country has its own short list: a national business directory, one or two review platforms people there trust, and the trade association or chamber for the industry. We do not publish a universal list, because one does not exist. The list is built per market from the sources that appear in that market’s prompt-set answers. A source that assistants already cite for your competitors in a country is a source worth being accurate on.

Wikidata and multilingual reference data

Wikidata records a label, a description and aliases for each item in each language, which makes it a public place where a company’s name can be stored per language in a structured form. It has notability rules, and an entry is appropriate only for organizations that meet them. Where an entry exists, we check that each market’s label and official website are right. We do not create entries for businesses that do not qualify.

Which claims have to change from one market to the next?

Prices, comparisons, guarantees and endorsements, because advertising law is national. An answer engine repeats what the page says, so a claim that is acceptable in one country and unlawful in another becomes a liability the moment the page is quoted there. We build market pages inside each market’s rules. None of this is legal advice.

Prices and comparisons

State the price the local buyer will pay, in the local currency, and date it. Where a market expects tax-inclusive consumer prices, show them that way. A comparison table that names competitors has to be accurate for the versions those competitors sell in that country, which are often not the versions sold at home.

Reviews, endorsements and regulated categories

Testimonials and review excerpts carry different disclosure duties in different countries; the European Commission’s guidance on the Unfair Commercial Practices Directive addresses consumer reviews and influencer marketing by name. Regulated industries add a second layer. Our pages on AEO for financial services, AEO for healthcare and AEO for casinos set out the US rules for those categories. Abroad, the local regulator’s rules replace them and are read before a market page is written.

How should a market served through distributors be handled?

Say plainly who sells there. Where a distributor or dealer is the seller of record, the manufacturer’s page for that country should name the distributor, the territory covered and how to reach it, and should leave local prices and delivery terms to the party that sets them. An assistant can only repeat an arrangement that is written down.

Two websites now describe one product, and they have to agree.

• The distributor is named on the manufacturer’s site exactly as it appears on its own site and on the national register.
• Each authorized distributor’s country or region is stated in text, not only on a map.
• Product names, model numbers and specifications match on both sites.
• The manufacturer’s page quotes no local price that it does not control.
• Warranty and service responsibilities are stated: whom the buyer contacts, and where.
• Former distributors are removed, and the list carries the date it was last checked.

In structured data, schema.org lets an Offer name its seller and the region where the offer is valid, so the markup can describe the arrangement instead of implying that the manufacturer is the shop. Listings and reviews in that country belong to the distributor’s business, and its agreement is needed before anything on them is changed.

How is AI visibility measured in each market?

Separately. Each market gets its own prompt set in its own language, its own baseline and its own section of the report, because an average across countries hides the market where the company is absent.

A prompt set per market, in the market’s language

A prompt set is a fixed list of questions a buyer in that market would ask, written by a native speaker in the words buyers use there, and run with identical wording each time. Location is part of the run. Where we test through a developer interface, the documented location settings from OpenAI, Anthropic and Perplexity are set to the market. In the consumer apps, which by Anthropic’s account may infer location from the IP address, the run is made from inside the market. Every answer is saved verbatim with its date, the assistant, the language and the sources cited. Our AI visibility prompt builder drafts the first version.

1. Write the questions in the market’s language with a native speaker; include brand, category, comparison and ‘who provides’ questions.
2. Fix the wording, the assistants, the location setting and the schedule before the first run.
3. Run each question in each assistant and save the full answer with its cited sources.
4. Mark, for each answer, whether the company is named, whether it is linked, which URL is linked and whether the facts are right for that market.
5. List the third-party sources cited for competitors in that market.
6. Record Search Console and Bing Webmaster Tools figures for the same period.
7. Repeat on the same schedule, and compare each market only with its own history.

First-party reports with a market view

The generative AI performance report in Google Search Console counts impressions of a site’s links in AI Overviews and AI Mode and can group them by page, country, date and device. The standard performance report has the same country grouping for clicks and queries. Bing Webmaster Tools reports citations and cited pages for Copilot and Bing’s AI summaries; because market versions live at different URLs, page-level citation counts show which market’s page is being used. Google Analytics adds the visitor’s country and browser language to sessions referred by assistants.

What the numbers cannot tell you

No report explains why an assistant chose one source over another, and no vendor publishes a ranking formula for answers. A market report therefore states what was asked, what was answered, and what changed on the site and in local sources that month. It does not claim a cause where only a sequence was observed. Our comparison of AI visibility trackers covers the tooling; the reporting rule is the same with any tool, and it is never to merge markets into one score.

What should happen when an assistant cites the wrong country’s page?

Treat it as a fault with a cause to find, not as bad luck. The first things to check are a canonical tag that points at another version, hreflang that is not reciprocal, a redirect that sends crawlers to the home market, and a local page that says less than the page it lost to.

Google’s documentation covers three of the four. Where two URLs carry similar content in the same language, it says to pick a preferred version and use rel=canonical together with hreflang so that the right regional URL is served. hreflang pairs that do not point back at each other are ignored. Automatic redirects by location can keep crawlers from seeing the other versions at all. Google also concedes that geotargeting is not an exact science and suggests a visible link on every page that lets a reader switch region or language, which gives a misdirected visitor, and a crawler, a path to the right version. The fourth cause is editorial: if the home-market page answers the question more fully, the local page needs the same depth plus the local facts. Recording the cited URL on every prompt-set run is what makes the fault visible.

What does a multi-market engagement include?

A fixed set of deliverables per market, so that adding a market is a known quantity of work and dropping one leaves the others intact.

Deliverables

• Market and language map with a recommendation for each market: full version, landing page or wait.
• Access report for every host and every Search Console property.
• Prompt set and dated baseline for each market.
• Page plan per market: which pages to localize first and which facts each must state.
• Localized pages, written or edited by native speakers.
• Structured data per version, checked against the visible copy.
• hreflang and canonical verification across versions.
• Local source plan, with corrections to register entries, listings and directories.
• Claims review notes for each market.
• A monthly report with one section per market.

What is not included

• Legal advice on advertising, privacy or product compliance in any country.
• Guaranteed citations; no assistant sells a citation.
• Advertising inside assistants, which is paid media and a separate service.
• Certified or sworn translation of legal documents.
• Company formation, tax registration or legal representation in a country.
• Outreach that pays for mentions or reviews.

Who inside the company has to supply the local facts?

The people who own each fact in that market, named one by one. An agency can structure, write and check a market page, but it cannot know this quarter’s price in Poland or which entity signs contracts in Mexico. Each fact needs an owner inside the business who confirms it and reports when it changes.

• Country or regional sales lead: prices, availability, delivery and the questions buyers there ask.
• Legal or compliance: the selling entity’s registered name, and which claims and comparisons are allowed.
• Finance: currency, tax display and invoicing details.
• Product or engineering: local standards, certifications and the units specifications are quoted in.
• Customer support: languages offered, opening hours and the local contact route.
• Web or IT: access to each host, the CDN, Search Console and analytics.

A short fact sheet per market, with the owner’s name and a date beside each line, is enough. It is also the document that keeps the page, the listings and the structured data in step, because all three are updated from it when a line changes.

How long does a new market take?

Plan on about a quarter to take one new market from audit to localized pages with a recorded baseline, and about six months before the first fair comparison against that baseline. These are planning intervals, not promises: assistants recrawl and re-rank on their own schedules.

Part of the waiting has a published length. OpenAI gives roughly a day for its search systems to register a robots.txt change, and Google puts the recrawling of a page at anything from several days to several months. The rest is observation, set out on how long AEO takes.

How much does an international AEO agency cost?

International work is priced from the same published AEO planning ranges as any other engagement; the number of markets and languages decides where in a range a scope lands. The figures below are the planning ranges on our AEO pricing page. A quote follows a written scope.

What moves an international quote?

Counts, mostly. None of them is the number of pages on the site.

• Markets and languages: each needs its own prompt set and its own section of the report.
• Hosts: country domains and subdomains multiply the access review.
• Templates that need localizing, which is a smaller number than pages.
• Whether native writers are supplied by you or by us.
• How much of the structure work already sits inside an international SEO engagement.
• Regulated categories, which add a claims review for each market.

Translation and site build costs are separate; see multilingual website design and the marketing agency pricing guide.

Which markets should come first?

The ones where demand already shows in your own data and where the business can serve a buyer today. A market with visitors, inquiries or a distributor but no localized page is a better first project than a large market with no foothold.

Demand you can already see

Start with the country grouping in Search Console and Analytics: which countries already produce impressions, clicks, sessions and inquiries for the home-market pages? Add sales data. Where do orders, distributor requests and support tickets come from?

Assistant availability

Check which assistants operate in the market. OpenAI and Anthropic publish lists of supported countries, and Google publishes availability for AI Overviews, AI Mode and Gemini. An assistant that is not offered in a country cannot be a visibility goal there.

Operational readiness

A market page promises local prices, delivery and support. If the business cannot honor those yet, a landing page that says plainly what is and is not offered in that country is the accurate choice, and accurate statements are the ones worth having repeated.

With budget for only two markets, which pair makes sense?

One market that shares the home language and one that does not, each chosen on existing demand. The same-language market tests whether localized facts alone change what assistants cite; the new-language market tests the full method. Two markets done properly teach more than a handful that each get only a translated page.

This is an editorial recommendation, and the reasoning is about cost. On a subfolder site, access and structure work is largely done once and is not multiplied by the number of markets. What is multiplied is everything else: a prompt set, localized pages, local sources and a claims review for each market. A same-language market keeps the writing cost low while the facts change, which makes it the cheaper of the two to add. If both candidate markets share a language, as Germany and Austria or Spain and Mexico do, the writing can be shared and the facts kept separate. Where no market shows demand yet, one market done well is the better use of the same budget.

How do you choose a provider for multi-market AEO?

Ask for evidence per market. A provider that reports one global visibility score, or cannot say who writes in each language, is selling a domestic service with a translation step added.

What should you ask before signing?

1. Which markets and languages are in scope, and what is delivered for each?
2. Who writes the prompt sets and the pages in each language?
3. From where, and with what location settings, will the prompt sets be run?
4. Which hosts and Search Console properties will you check for crawler access?
5. Which of your statements about assistants come from vendor documentation, and which are your own observation?
6. How will you show which country’s URL an assistant cited?
7. When a market’s facts change, who updates the page, the listings and the structured data?
8. How are advertising rules reviewed for each market?
9. What will the monthly report contain for a market where nothing moved?
10. What do we keep if the engagement ends?

Warning signs

• A promise of citations in a named assistant by a set date.
• One blended score for all countries.
• Machine translation published without a native editor.
• hreflang sold as a ranking factor for ChatGPT.
• No mention of local sources.
• Prompt sets the provider will not show you.

The general test for any provider is on how to choose an AEO agency, and the skills to look for are on AEO experts.

Is this the same as international GEO or international AI SEO?

Yes. International answer engine optimization, an international GEO agency, international AI SEO, international AI search optimization, multilingual AEO and global AEO are names for one service: making a company citable by assistants in each market it sells in. The names differ by who is selling. AEO vs GEO vs LLM SEO explains the vocabulary, and generative engine optimization and AI SEO agency describe the same practice under the other labels.

Buyers also describe the outcome instead of the method: AI visibility by country, multilingual AI search optimization, or ChatGPT visibility in other countries. All three are answered by the per-market measurement above. One caution about the acronym: in customs and trade, AEO stands for Authorized Economic Operator, a status for trusted traders. This page is about answer engines, not customs programs.

Related services

Pages that sit next to this service, and that a buyer planning a multi-market program usually reads with it.

• International SEO agency: URL structure, hreflang, keyword research per market and country tracking.
• Answer engine optimization agency: the method every AEO engagement shares.
• Enterprise AEO: governance, approvals and ownership in large organizations.
• Worldwide clients: the countries we work with and what changes for each.
• International clients: engagement terms for companies outside the United States.
• AEO services: the deliverables and the evidence behind each.
• AEO audit: the fixed-scope first step.
• Local AEO: listings and reviews for a single location.
• What is AEO?: the definition, for colleagues new to the subject.
• AEO vs SEO: what carries over from search work and what does not.
• AEO tools: the classes of tool and when each is needed.
• AEO myths and AEO pros and cons: claims to test before buying.
• Hreflang guide and checker: the free validation tool.
• Multilingual website design: building the versions themselves.
• AEO for manufacturers, AEO for SaaS and AEO for ecommerce: three business models that commonly sell across borders.

Frequently asked questions