SEO vs AEO vs GEO for DMOs: Most of It Is Still SEO

SEO, AEO, and GEO are not three strategies. They are three labels for the same uncomfortable question: can people and machines find, understand, and trust the official story of a place?

Google now says the quiet part out loud. From its perspective, optimizing for generative AI search is still SEO. The new work is real. Most of the acronym theater is not.

For destination marketing organizations, the useful distinction is not which acronym wins. It is which parts of the existing search program still work, what AI answers change, and who owns the gaps.

In this guide

• What SEO, AEO, and GEO actually mean

• Why Google still calls this SEO

• What changes when the answer appears before the click

• What does not change for destination teams

• Who should own the work

• The first three moves to make

• Tactics to ignore

• Frequently asked questions

The labels are not standards

SEO is an established discipline. AEO and GEO are useful shorthand, but they are not settled technical standards with clean boundaries. Different agencies, platforms, and researchers use them differently.

That matters because a destination team can spend months building separate workstreams for three labels when the underlying work is mostly shared: make official information accessible, publish something worth citing, keep destination facts accurate, earn legitimate third-party support, and measure whether the right audiences find you.

The acronyms can help organize a conversation. They should not organize the company.

What SEO, AEO, and GEO usually mean

SEO: earn visibility in search

Search engine optimization improves whether a page can be crawled, indexed, understood, and selected for a relevant query. The familiar scorecard includes rankings, impressions, clicks, qualified traffic, and conversions. For a DMO, it also includes the quality of the destination information that travelers, partners, journalists, and search systems can find.

AEO: become part of the direct answer

Answer engine optimization is practitioner shorthand for improving the chance that your information appears in a direct answer. That can include featured snippets, voice results, AI summaries, or conversational responses. The label emphasizes concise, answerable information, but it does not create a separate technical layer above search.

Our longer AEO guide for destination marketers explains the operating idea in more detail.

GEO: improve visibility inside generative answers

Generative engine optimization entered the research vocabulary as a framework for improving visibility in responses produced by generative engines. The original GEO paper treats the engine as a black box and evaluates whether source content becomes more visible in the generated response. In the market, GEO is now used more broadly for mentions, citations, framing, and recommendations across AI products.

That wider use is understandable, but it makes the term fuzzy. A citation in ChatGPT Search, a mention in a Gemini answer, and an appearance in Google AI Overviews do not come from one universal ranking system.

Google still calls generative search optimization SEO

In its official guide to succeeding in AI search, Google says that AEO and GEO are labels used for visibility in AI search, but that optimizing for generative AI experiences in Google Search is still SEO. Its generative features remain rooted in the same search ranking and quality systems.

This is the clearest answer to the “is SEO dead?” debate. No. Google is changing how results are assembled and presented. It is not asking destination teams to abandon crawlability, useful content, internal links, accurate structured data, or authority.

Other products have their own access and citation mechanics. OpenAI, for example, documents OAI-SearchBot controls for publishers and identifies referrals from ChatGPT Search. That is a real platform-specific consideration, not proof that every AI product needs a separate content strategy.

What actually changes for destinations

1. The answer can shape the shortlist before a visit

A traveler might ask, “Where should we go for a quiet fall arts weekend within two hours of Boston without a car?” The response can compare places, rule some out, and frame the tradeoffs before the traveler opens a destination website.

The click still matters. So does the answer that earns it. A destination can have strong organic pages and still be described poorly, omitted from a relevant comparison, or supported by weak sources in a generated response.

2. The source layer is broader than the official site

AI answers may draw from official destination pages, attraction and hotel sites, publisher coverage, review platforms, public records, event calendars, and other sources. The mix varies by product and prompt.

This does not mean a DMO should manufacture mentions. It means the official story has to survive outside the official domain. If hours, seasonal access, neighborhood names, accessibility details, or transportation options conflict across the web, the destination has a source-quality problem as much as a copy problem.

3. Measurement extends beyond rank and traffic

Classic SEO metrics remain useful. Add a second view for priority traveler questions: whether the destination appears, how it is framed, which facts are wrong or missing, which sources are visible, and whether referral traffic follows.

Do not treat one answer as a permanent ranking. Generated responses can vary by wording, timing, location, model, and retrieval path. Use a repeatable prompt set and look for patterns.

What does not change

• Technical access. Search systems still need to crawl and index the pages you want discovered. Blocking a crawler is an access decision, not a branding strategy.

• Useful, original content. Commodity summaries are easy to reproduce. Firsthand destination knowledge, clear recommendations, current logistics, and honest tradeoffs give a source something distinct to contribute.

• Accurate entities and local facts. Names, addresses, dates, seasonal availability, transit details, and relationships between places still need to be consistent.

• Internal structure. Descriptive titles, headings, internal links, and focused pages help people and systems understand what belongs together.

• Legitimate authority. Relevant coverage, partner pages, and trusted local sources matter because they corroborate the destination story. Purchased or invented mentions do not create durable trust.

• Structured data that matches the page. Schema can clarify visible information. It is not a special AI ranking switch, and it should never describe facts users cannot see on the page.

Who owns the work inside a DMO

AEO and GEO often fail as programs because they are assigned to one person with no authority over the source problems. Use the existing operating model and make ownership explicit.

• Content and editorial: publish useful source pages, answer real traveler constraints, maintain accuracy, and include firsthand evidence.

• Web and SEO: protect crawlability and indexability, improve internal links, maintain templates, and validate structured data.

• Listings and partner data: resolve conflicting facts across local businesses, events, and destination feeds.

• PR and partnerships: earn legitimate third-party coverage and help authoritative local sources stay current.

• Insights or marketing operations: define the prompt set, repeat tests, record sources, and connect AI referrals with the rest of the search scorecard.

One owner should coordinate the program. That person does not need to personally rewrite the website, repair every listing, pitch every story, and run every measurement cycle.

The first three moves

1. Verify the foundations

Confirm that priority pages are indexable, technically healthy, and accessible to the crawlers you intend to allow. Review Search Console, robots rules, canonical tags, page titles, and internal links. Check platform-specific crawler controls deliberately instead of copying a generic “AI optimization” checklist.

2. Audit a small set of high-value traveler questions

Build 10 to 25 prompts across audiences, seasons, occasions, and constraints. Run them repeatedly across the products your visitors actually use. Record the destination’s presence, framing, factual accuracy, visible sources, and recurring competitors.

Use our eight-step AI visibility audit for DMOs to keep the exercise repeatable. A good audit separates an answer problem from the source problem underneath it.

3. Route each gap to the right owner and recheck

If the official page is thin, improve it. If partner data conflicts, fix the feed or listing. If credible third-party support is missing, give PR and partnerships a specific evidence gap to address. If a crawler cannot reach the page, fix access before commissioning more copy.

Then rerun the same prompts on a schedule. The goal is not to chase every response. It is to find persistent weaknesses and close the ones that matter to destination demand.

Tactics to ignore

Google’s current guidance is unusually direct about several distractions. Destination teams should be skeptical of anyone promising a hidden AI ranking switch.

• A special file that guarantees Google AI visibility. Google says no special AI file or markup is required for its generative search features.

• Rewriting every page into robotic “AI-friendly” fragments. Clear structure helps readers, but forced chunking and machine-first prose are not a substitute for useful information.

• A page for every possible prompt. Mass-producing near-duplicate pages for query variations creates commodity content, not destination expertise.

• FAQ or schema markup as a guarantee. Structured data can support understanding when it matches the page. It does not guarantee a citation or recommendation.

• Purchased, planted, or invented mentions. Inauthentic promotion creates risk and rarely repairs the underlying evidence base.

• A single screenshot as proof of performance. One favorable answer is an observation. A repeated test across a defined prompt set is measurement.

Frequently asked questions

Are AEO and GEO replacing SEO?

No. They name parts of a changing search experience. Google explicitly treats optimization for its generative search features as SEO. The additional work is mostly better source coverage, answer-level measurement, and platform-aware access.

Does a DMO need separate SEO, AEO, and GEO budgets?

Usually not as three independent programs. Protect the core SEO budget, then fund the incremental work that is actually new: repeated answer audits, source analysis, partner-data cleanup, and cross-functional follow-through.

Does structured data improve AI visibility?

Structured data can help search systems understand visible page information and remains good SEO hygiene. It is not a special generative ranking factor or a guarantee that the destination will appear in an AI answer.

Should we create a page for every traveler question?

No. Group related questions around a real traveler need and publish the strongest useful resource for that need. Add a new page when it serves a distinct intent, not because a prompt variation exists.

How should a DMO measure AI search visibility?

Keep rankings, impressions, clicks, engagement, and conversions. Add repeated prompt tests for presence, framing, accuracy, citations, source diversity, and referrals. Our public Currents methodology explains how we approach that measurement problem.

The practical takeaway

Do not let three acronyms create three disconnected strategies. Build one search program that protects the fundamentals, watches the answer layer, strengthens the source ecosystem, and assigns each gap to someone who can fix it.

If your team wants to see how Drifter turns that operating model into a repeatable destination workflow, explore Drifter for destinations.