How do we assess our company's current "GEO status"?

Short answer (the conclusion you want)

Using the ABke GEO methodology to assess the current state of your business, we recommend focusing on four key dimensions: content structure , information consistency and completeness , AI visibility (indexing/citation) , and inquiry quality and conversion . Within 30 minutes, you can determine whether your website already possesses the basic capabilities for AI to "understand, trust, match, and recommend."

1) AI understanding ability (content layer)

Generative AI's responses are essentially about "information extraction and recombination." If your content lacks structure, context, or a clear answer to the question, it will have difficulty accurately capturing your information.

• Does it have a clear H1-H3 hierarchy and paragraph logic?
• Does it revolve around user problems (rather than just piling on product features and talking to itself)?
• Do you provide verifiable details such as: standards, parameter ranges, processes, delivery boundaries, and applicable/inapplicable scenarios?

Reference data: In our observation of common problems in the content structure of B2B official websites, more than 60% of corporate articles lack clear subheadings and question-based paragraphs, resulting in low "extractability".

2) AI Trust Capability (Information Layer)

AI prefers to "cite" sources that are consistent in information, have clear identities, and provide sufficient evidence. For enterprise websites, trust comes not only from certificates, but also from the integrity of information and cross-platform consistency .

• Is the company information complete? Includes: establishment date, factory/office, main business categories, and countries/industries served.
• Are your contact details clear and consistent: phone number, email address, address, social media, WhatsApp/WeChat (if applicable)?
• Are there verifiable endorsements: certifications, test reports, client case studies, industry exhibitions, media reports?

Reference data: Common "trust gaps" on foreign trade B2B websites include: incomplete information on About/Contact pages, inconsistent company names/addresses on different platforms, and case study pages with only pictures and no details. These types of problems account for approximately 40% to 55% of the samples.

3) AI matching capability (traffic layer)

Who you're recommended to is more important than how many times you're mentioned. Matching ability comes from two things: clear positioning and comprehensive problem coverage .

• Does it cover high-frequency customer decision-making issues: pricing structure, MOQ, delivery time, quality inspection, customization process, packaging and logistics?
• Does it cover application scenarios? Why would a particular industry choose your solution? What alternatives are available? What are the risks and pitfalls to avoid?
• Does it clearly state who it is "suitable for/unsuitable for" (this will significantly improve the quality of leads)?

4) Conversion capability (result layer)

GEO isn't about "looking busy," but about making inquiries more precise. For B2B foreign trade, it's recommended to shift the outcome metric from "number of visits" to "lead quality."

• Has the proportion of low-quality price comparison inquiries decreased?
• Is the number of high-intent inquiries increasing (can the applicant clearly state the application, quantity, delivery time, and standards)?
• Has the communication cycle been shortened (fewer basic questions asked by the client)?

Dimension	Checklist (You can follow these steps directly)	Acceptance Standards (Reference)	Priority Recommendations
Content Structure	H1-H3 are clearly defined; paragraphs are short; the structure follows the pattern of "question → answer → explanation → evidence/example"; each page addresses only one core issue.	Over 80% of the articles have a clear heading hierarchy; each article has at least one quotable concluding sentence.	The highest level (first, let the AI ​​understand it).
Information integrity	Complete About/Contact information; Factory/Team/Certifications/Processes; Company Name, Address, and Phone Number Consistent Across Multiple Platforms.	Key identity information can be quickly verified; at least 3 types of trust elements (certification/case studies/testing/exhibitions, etc.)	High (impacts recommendation and transaction)
Issue Coverage	Price, MOQ, delivery time, customization, quality inspection, materials, application scenarios, selection comparison, common reasons for failure	Covering at least 20 core issues; each issue must have at least one article that can stand alone on a separate page.	Medium to high (determines the quality of the clues)
AI Visibility	Ask industry-related questions using AI; see if brands/opinions appear; search for brands + core keywords to get stable results.	It can be mentioned/cited in 3 types of questions; the brand keyword search results are stable and consistent.	(Build a solid foundation before pushing forward)
Inquiry quality	Analyze the completeness of inquiry information; the source channel; whether the customer provided required parameters; and whether they are willing to communicate further.	The proportion of high-intent inquiries has been increasing month by month; the repetition rate of basic questions has decreased (e.g., a 20% decrease over 3 months).	Final Indicators

Step 1: Randomly select 10 pages to check if the structure can be extracted.

Select a few pages from the homepage, category page, product page, case study page, and three articles, and ask yourself a simple question: If I copy this page to a newcomer, can they explain in 30 seconds "what problem does this page solve?"

If the answer is often "It seems like everything has been said, but it hasn't been explained clearly," it means you need to do some structural remodeling first (heading levels, question and answer paragraphs, concluding sentences, and evidence paragraphs).

Step 2: Verify the consistency of "identity information" to address trust gaps.

I suggest you do a "company information reconciliation":

• Is the About/Contact information on the official website complete? Can you contact them with one click?
• Are the company name, address, and phone number consistent across Google Business Profile (if applicable), LinkedIn, B2B platforms, and social media?
• Can the certification, testing, and case studies be detailed on the page (time, standards, scope, results)?

Step 3: List the top 20 most frequently asked questions by customers and check for "coverage gaps".

Many companies may seem to have a lot of content, but the ones that truly bring in high-quality inquiries are often these question-type pages: price composition, material selection, service life, certification standards, delivery time, MOQ, customization process, quality inspection methods, applicable scenarios, comparison and selection, common faults and solutions .

Reference data: B2B visitors typically confirm information 5-12 times before their first inquiry (from the page, third-party information, AI search summaries, etc.). Covering these confirmation points will significantly make a difference in the quality of your leads.

Step 4: Conduct an "AI visibility test," and don't just look at traditional inclusions.

You can test with 3 sets of questions (it is recommended to test once in English and once in Chinese, to suit the foreign trade scenario):

• Category entry-level questions : For example, "How to choose XX material/XX process?"
• Decision-making comparison problems : For example, "Which is better, XX or YY? Under what conditions should we choose which one?"
• Risk avoidance questions : For example, "What are the most common quality problems when purchasing XX? How can they be inspected?"

The focus is not on whether your website link appears, but rather on whether your brand/viewpoint/method is mentioned , and whether the answers are consistent with the information on your official website.

Step 5: Replace "traffic anxiety" with "inquiry quality control"

I suggest you add a simple tag to each inquiry (you can use a table or CRM): Clarity of needs, Industry relevance, Ability to provide parameters/drawings, Clarity of budget/delivery time, and willingness to hold a conference call.

If after implementing GEO you find that "the total number of inquiries doesn't change much, but customers understand you better, ask more professional questions, and move things forward faster," then you're often on the right track.

Self-assessment results (four-dimensional scoring illustration)

• Content structure: Weak (most pages lack "conclusion sentence + evidence paragraph + subheading")
• Information completeness: Medium (About/Contact information is complete, but case studies and certification details are insufficient)
• Issue coverage: Low (lacking pages addressing core issues such as price structure, delivery time, quality inspection, and customization process)
• AI visibility: almost non-existent (rarely cited in answers to industry questions).

Action plan (3-month timeline reference)

• Added "problem-related content" and categorized it into the following topics: selection, comparison, pitfall avoidance, process, and quality inspection.
• Restructure the page: clearly define one issue per page; add quotable concluding sentences and data/standards.
• Enhancing trust elements: Case studies supplement working conditions, standards, and delivery boundaries; certifications and reports are searchable.

Unsure if GEO has any effect? ​​Take a "health check" using AB-ke's GEO assessment system.

You don't necessarily need to invest more; often, what you lack is an evaluation standard that connects "content, trust, visibility, and inquiry quality." By creating a checklist to identify your weaknesses, you'll have a clearer understanding of whether to improve your pages, evidence, or structure.

Get and use the "ABke GEO Status Assessment Checklist" →