Why do many advertising companies claim to be able to do GEO, when they are actually just doing SEO?

Many advertising companies claim to do GEO, but they're really just doing SEO: you need to understand this first.

While there are more and more "GEO services" on the market, much of the delivered content still focuses on traditional SEO actions such as keyword placement, title tweaking, and backlink building . These may make you more "visible" in search results, but they don't necessarily make you more "trusted, cited, or recommended" in AI-generated answers.

If you're doing B2B international trade, you'll especially notice the difference: traffic has increased, but inquiries are still mainly price comparisons and low-intent responses. The reason is often not "not optimizing," but rather that you're optimizing the wrong things .

To put it simply: GEO optimizes not "rankings," but "content assets that can be understood and referenced by AI."

The core goal of SEO is to compete for keywords, improve organic rankings, and gain more clicks and traffic.
The core goal of GEO (Generative Engine Optimization) is to make your content more easily identified as a "trusted source" when AI generates answers, more easily cited and recommended, and ultimately lead to higher quality inquiries and conversions .

Why do advertising agencies treat GEO as SEO? Three real reasons.

Reason 1: Using the old system for tools and processes is the easiest way.

Many teams have established fixed delivery lists: on-site title, description, and keywords (TDK), H tags, backlinks/external links, "pseudo-original" content, and website speed optimization. While these were indeed effective in the SEO era, using them as GEO deliverables can easily result in "good-looking metrics but poor outcomes."

Reason 2: Insufficient understanding of AI retrieval and generation logic

Generative search/question answering works more like "reading research papers and writing reviews": it integrates information from multiple sources, prioritizing content that is clearly structured, factually verifiable, consistently expressed, and directly answers the question . Simply piling up keywords not only offers limited help but may even reduce credibility.

Reason 3: Enterprise-level evaluation metrics are still stuck on "ranking/traffic".

If the client's KPIs only consider "indexing, ranking, and pageviews," the agency will naturally tend to deliver easily quantifiable SEO actions. However, GEOs should pay more attention to the visibility cited by AI and the quality of inquiries (e.g., whether they come from the target industry, whether they include specific parameters, and whether they ask questions about delivery time/certification/customization details).

What exactly is the difference between GEO and SEO? A table to quickly align your understanding.

Reference data (common industry performance, for easy alignment with expectations): In the foreign trade B2B scenario, among the new organic traffic brought by SEO alone, the proportion of visitors with "clear purchasing intentions" is usually 1%-3% ; while after building content around decision-making issues, the proportion of high-intent inquiries can be increased to 3%-8% in many industries (the specifics are related to the average order value of the product category, delivery cycle, and country/region).

How AB Guest GEO works: Incorporate "AI-relevant" elements into your content structure.

A truly effective GEO is not simply about "changing the wording," but about changing the way content is produced and information is governed . AB Guest's GEO methodology emphasizes: structure, verifiability, consistency, problem-based matching, and long-term compounding.

1) Replace the "keyword list" with a "customer decision-making question bank".

SEO often starts with keywords, while GEO is more suitable for starting with questions customers might ask . Common questions from B2B buyers in foreign trade can be divided into 5 categories: specifications (size/material/process), quality and certification (ISO/CE/FDA, etc.), delivery time and production capacity , application scenarios , and comparison and substitution (differences between A and B, when to choose which one).

2) Adopt a citation-friendly structure of "Problem → Conclusion → Evidence → Method → ​​Case Study".

Writing styles that make it easier for AI to cite often share a common thread: present the conclusion first, followed by the supporting evidence . For example, answer the question in 2-3 sentences at the beginning of the article, and then provide verifiable information (standards, testing methods, parameter ranges, process differences, applicable conditions) later in the text.

3) Implement "Information Consistency Governance": Make AI No Longer Suspect You

AI's biggest weakness is "self-contradiction." Many common problems on company websites include: different parameter ranges for the same product on different pages; and inconsistencies in company introduction, qualifications, address, English name, and factory size across different channels. In GEO implementation, information consistency is fundamental.

• Ensure consistency across company's English name, brand name, address, contact information, and main business scope (maintaining consistency across official website, Wikipedia page, social media, and B2B platforms).
• Key parameters form a "master version" (e.g., thickness range, dimensional tolerances, optional materials) to avoid conflicts between pages.
• Case studies and certificates, along with dates, standard numbers, and testing conditions, reduce empty rhetoric that "looks like an advertisement."

4) Replace slogan-based content with evidence-based content.

AI rarely considers statements like "our quality is good, our delivery time is fast, and we support customization" as strong evidence. What's more effective is to provide written evidence —such as monthly production capacity range, standing inventory strategy, key processes and quality control points, common defect types and corresponding solutions, and typical delivery times (e.g., 7–15 days/15–30 days depending on the situation).

How to identify "fake GEO deliveries"? Here's a checklist for direct comparison.

A Comparison of Common "Incorrect Paths" and "Correct Paths" in Foreign Trade B2B

Turn GEO into true growth: You can start with these 3 actions

1. First, create 10 pages for "high-interest questions": such as "How to select a model", "Differences between A and B", "How to meet a certain certification", and "Lifespan and causes of failure under a certain operating condition". Each article should clearly state its conclusions and supporting evidence.
2. Consistently define key facts: company information, product parameter ranges, process capabilities, delivery schedules, and quality control points. Ensure consistency across the entire site with external channels, reducing the cost of AI-based decision-making.
3. Complete the "Trust Module": Make certificates, test methods, cases, common problems and acceptance criteria into reusable modules that can be reused on different pages and kept updated consistently.