GEO is an ongoing effort, not a one-time launch — if you want to systematically build up this capability, you can Overseas Growth Knowledge Base Go through the AI search-related articles in order; when unsure about investing, start with Go-Global Quote Calculator Estimate a budget.
1. A 30-minute self-check of 5 entry points
| Entry point | Sample test questions | What to record |
|---|---|---|
| ChatGPT | “Recommend a few reliable XX suppliers” | Competitor list, whether links are included |
| Gemini | “Who are the best Chinese suppliers in the XX industry?” | Competitor list, descriptive wording |
| Perplexity | “Recommended wholesale suppliers for XX product” | Which sources were cited |
| AI Overview | “best XX suppliers” | Competitor list, source domains |
| Copilot | “Recommend reliable XX manufacturers” | Competitor list, whether they have official websites |
3–5 questions per entry point; note down “who got recommended” and within 30 minutes you’ll have a competitor AI visibility comparison table.
Part 2: Why competitors get recommended — three dimensions of gap
| Dimension | Description | Self-check questions |
|---|---|---|
| Content volume | Whether AI has enough material to describe it | Is its official website’s information more complete and more up-to-date than mine? |
| External mentions | Whether third-party sources are cross-validating it | Whether it appears repeatedly in the directory/media/case studies |
| Website structuring | Whether AI can consistently identify its entity | Is its Schema and facts page complete? |
3. Fill the gaps — no need to start over
- Content volume gap: Prioritize building “company facts page + core product spec pages” so AI has material to cite;
- External mention gaps: First target 1 industry directory + 1 media/association endorsement to establish your first external credibility point;
- Structured data gaps: Add Organization/Product Schema and validate it with testing tools.
After filling the gaps, don’t stop—go back to step one and continue monthly testing to see if your position in the competitor list has changed.
Key insight: When competitors appear in AI answers, it’s their content assets at work. Catching up doesn’t require a miracle — it requires completing the same set of actions.
| Entry point | Issue | Competitor A | Competitor B | Our side | Our gap |
|---|---|---|---|---|---|
| ChatGPT | Q1 | ✅ Links | ✅ | ❌ | Content volume |
| Gemini | Q1 | ✅ | ❌ | ❌ | External mentions |
| Perplexity | Q2 | ✅ | ✅ | ❌ | External mentions |
| AI Overview | Q3 | ❌ | ✅ | ❌ | Structured |
| Copilot | Q3 | ✅ | ❌ | ❌ | Content volume |
Is your competitor being recommended by AI because they paid for it?
There is currently no public evidence that paying can directly buy AI recommendations. The more common explanation is that its content assets are more complete. Start with a three-dimension self-check first, rather than suspecting a “backroom deal.”
A competitor shows up but without a link—does that count as a threat?
Half credit. Mentions without links build awareness but don’t drive traffic. You can use them to validate that “this entry point is worth pursuing,” while making “getting a link attached” your own optimization goal.
Which gap on the list should be addressed first?
Start with what costs the least and delivers results fastest: fact pages on your website and Schema (doable in 1–2 weeks), then move on to external endorsements (a longer cycle). Execute in order of “lowest cost to highest.”
How often should I do self-checks?
Monthly is recommended. The recommended list changes as content is updated, and a monthly comparison lets you clearly see the effect of your own actions and spot new competitor moves in time.
How do you know if you’ve outperformed your competitors?
Look at three signals: how often it appears under the same query, whether it’s accompanied by a link, and whether it’s described positively (as a recommendation rather than a background mention). Only when all three are met does it officially make the list.