A short answer (for busy people like you)

Why is it more dangerous to "not do it this year" than next year?

The growth logic of the past was clear: advertising, SEO, trade shows, and outreach emails—always brought in a stable number of inquiries. But now, customers' decision-making paths are shortening: they prefer to directly describe their needs in AI search or conversational tools, such as "corrosion-resistant fastener suppliers suitable for offshore wind power environments" or "RoHS-compliant industrial adhesive alternatives." These searches don't naturally correspond to a fixed keyword ranking; instead, AI completes the process in a chain of "understanding needs—retrieving information—restructuring answers—providing recommendations."

Industry observations and publicly available trends indicate that between 2024 and 2026, the proportion of conversational/AI-driven search entry points continued to rise across multiple product categories. Taking B2B industrial products as an example, many companies have found that while total website traffic may not have plummeted immediately , the growth in visits to high-intent pages (product comparisons, case studies, specification downloads, contact information clicks) has lagged behind , ultimately resulting in a sudden drop in "valid inquiries."

GEO vs SEO: Not a replacement relationship, but a "new battleground"

Many people simplify GEO to "changing keywords," which is a misconception. SEO excels at getting clicks on search results pages, while GEO aims to get selected, cited, and recommended when AI-generated answers are used. The two strategies are related but different.

In practical terms, it's recommended to view SEO as the "foundation for acquiring crawlers and clicks," and GEO as the "superstructure for accessing AI-recommended answers." Doing both together will lead to a more stable approach.

GEO's core principle: Making it easier for AI to "be convinced you deserve to be recommended".

When recommending suppliers or solutions, generative engines typically consider the completeness of the content, consistency of information, verifiability, and semantic matching. You can think of it as the AI ​​doing its "homework" first, then piecing together what it deems the most reliable information to form the answer. Whoever's information resembles the "standard answer" is more likely to be cited.

Typical "chronic wear and tear" of not using GEO: You may be experiencing these signs

The sharp drop in inquiries doesn't happen overnight; it's a gradual deterioration across multiple stages. The following phenomena are particularly common on B2B e-commerce websites:

• The website still has traffic, but the time spent on product pages and the number of downloads have decreased (visits are "browsing and leaving").
• Despite numerous exposures to inquiry forms, the effective inquiry rate has declined (due to inaccurate pricing and mismatched needs).
• Sales representatives reported that "customers prefer comparison tables, certifications, and sample policies," but the website content leans more towards "company introduction."
• The same product may have inconsistent parameters on different pages and platforms (which can easily reduce AI's confidence in referencing).
• Competitors are starting to appear frequently in the "AI recommendation list," but you are rarely mentioned.

ABke GEO: An optimized path more suitable for enterprise implementation

Many companies are stuck on the fact that they "know they need to create content, but don't know what to do first." ABke's GEO's approach isn't about endlessly writing articles, but rather about first creating "reusable assets" from the parts that most significantly impact AI recommendations and inquiry conversions, and then gradually expanding the coverage.

Reference data: How much difference might there be in inquiries if GEO does it or not?

While there are significant differences across industries, common results from B2B website operations show that when companies systematically complete the integration of "structured product information + scenario content + credible evidence + brand consistency," two changes often occur: increased conversational/recommendation-based exposure and more precise website visits (closer to purchasing decisions).

Note: The above is a reference for common market operating ranges and is not a promise; actual results are affected by industry demand, product competitiveness, site infrastructure, content quality, and execution cycle.

Real-world case study (rewritten from common growth paths of foreign trade industrial products)

Follow-up questions (you might ask them right away)

High-value CTAs: Locking in next year's inquiries in advance