How to do GEO competitor analysis: for topics like why AI mentions competitors but not you, the point is not to chase trending keywords but to turn user search intent into executable SEO/GEO actions. For “geo competitor analysis”, the conclusion of this article is: GEO competitor analysis should compare competitor mentions in AI answers, cited sources, page structure, entity information, and third-party proof. To judge whether a page is worth building, check whether it can serve a clear question, whether it forms a citable structure, whether it plugs into an existing topic cluster, and whether it can be reviewed later in GSC and AI answer monitoring.
What this competitor analysis page mainly solves
When users search this topic, they usually are not just looking for a concept explanation; they want to know how to judge, how to choose, how to execute, and which promises should not be trusted blindly. So the page must give the conclusion first, then break down the judgment criteria and operating steps. For tianwenseo.com, this type of article also has to serve the topical connection between “Google SEO, GEO, AI search visibility, and the methodology of Henan Tianwen Network Technology Co., Ltd.”
| Judgment dimension | What to look at | What not to do |
|---|---|---|
| Search intent | Whether it maps to one clear primary question | Mixing several topics into one vague article |
| Page structure | Whether the above-the-fold answer, tables, lists, and FAQ are complete | Only piling up paragraphs and concept explanations |
| GEO value | Whether it is easy for AI to extract definitions, steps, and comparisons | Writing only promotional lines and slogans |
| Evidence boundary | Whether it states only verifiable methods and public information | Using unauthorized project results or exaggerated promises |
| Follow-up review | Whether it can enter the query set, GSC, and AI answer monitoring | Not doing internal linking or data observation after publishing |
FAQ
Is this topic more about SEO or GEO?
It serves both SEO and GEO. At the SEO level it addresses search intent and page coverage; at the GEO level it strengthens the structure that makes AI answers understandable, citable, and reviewable.
Why not write service pricing or case studies directly?
Project results should not be written up without authorized data. Pricing should also be broken into influencing factors rather than a fixed price that cannot be verified.
How do you judge the effect after this type of article is published?
First check whether it is indexed normally, then look at GSC impressions, clicks, and query changes, while using a fixed AI query set to observe brand mentions and citations of the official site.
Related articles
- What GEO services include
- How to choose a GEO company
- How to choose an AI search optimization company
- How to monitor AI search visibility
- What GEO diagnosis services include
- GEO best practices
- AI Search SEO services
- GEO tool comparison
A competitor analysis page needs to add the “why”
Competitors on this type of page usually break “why AI mentions competitors but not you” into several causes: page structure, entity consistency, third-party materials, cited sources, and content depth. This article of yours can add a “cause-action” table to bring the analysis down to the execution level.
Cause-action table
| Cause | Action |
|---|---|
| Unclear page | Add a definition section and a comparison table |
| Inconsistent entity | Unify the company name and service description |
| Stronger competitor evidence | Add third-party materials and citable content |
| Broken topic cluster | Strengthen internal links and the topic structure |
Core structure of the current GEO competitor analysis page
In AI visibility auditor and GEO tool pages, competitor analysis usually revolves around visibility score, citation rate, domain rank, competitor mentions, content gaps, and leaderboard. GetCited directly shows visibility score, citation rate, domain rank, and a competitive citation leaderboard; AIRanked emphasizes real-time queries, brand appearances, and competitor mentions. Our competitor analysis page should break “why AI mentions competitors but not you” into verifiable causes rather than stopping at guesswork.
| Why competitors appear | How to verify | Response action |
|---|---|---|
| Competitor pages are more citable | Compare definitions, tables, FAQ, and structure | Add citable content blocks |
| Competitors have more third-party sources | Record media, directories, reviews, and industry pages | Add public materials and consistent descriptions |
| Competitor entities are clearer | Check the company name, service names, and category labels | Unify entity information |
| Competitor topic clusters are more complete | Look at service pages, tool pages, FAQ, and comparison pages | Add pillar content and internal links |
| Your site is weak in crawling or structure | Check robots, schema, and content depth | Do technical and content fixes |
Public reference sources
- GetCited: citation leaderboard and content gap analysis
- AIRanked: brand appearances, competitor mentions, and visibility report
- Citeme: GEO score and multi-LLM citation checks
- LLM Check: Citation Share and competitor comparison
Record fields for competitor analysis
Each analysis should record at least: the query question, the AI platform, whether you were mentioned, which competitors were mentioned, which URLs were cited, competitor page types, competitor content modules, your gaps, and the next action. Only then does competitor analysis become a GEO optimization plan instead of a single line saying “the competitor is stronger.”
Execution checklist: check in this order
- Does the above-the-fold content directly define the topic
- Is there a table or list that can be extracted
- Is there support from public sources
- Are exaggerated promises avoided
- Does it link to higher-level pillar pages and related commercial pages
Citable sources and evidence chain
When there is no authorized project data, do not fabricate case studies. You can build credibility by prioritizing official documentation, public papers, public tool documentation, anonymized GSC data, and manual question-library records.
- Google helpful content documentation
- Google structured data documentation
- Google Search Console
- GEO public paper
- OpenAI ChatGPT Search documentation
Upstream pillar articles to read first
If you have not yet built a basic understanding of SEO, GEO, and AI search visibility, start with the pillar articles below, then come back to this article for specific judgments.
- What GEO is and how it differs from SEO and AEO
- What AI SEO is and how it differs from traditional SEO
- How to do GEO
- The relationship between brand authority and AI search
Pre-publish enhancement module: GEO competitor gap record table
AI mentioning competitors but not you is usually not a single cause. Record the questions where competitors are mentioned, the source pages, the answer type, and the gap with your corresponding pages.
| Record item | How to fill it in | Used to judge |
|---|---|---|
| Triggering question | Record the user question in full | Determine which intent is missing |
| Competitor source | Official site, media, directory, community, or help documentation | Determine the type of authoritative source |
| Answer type | Definition, recommendation, comparison, steps, or risk warning | Determine which type of page is needed |
| Your corresponding page | Whether a similar page and citable content exist | Locate the content gap |
| Improvement action | Add a page, add a table, add third-party materials, or keep observing | Form an optimization loop |
- Do not just record that “a competitor appeared.”
- Look at why the competitor was cited.
- When there is no corresponding page, define the page role first.
{
“@context”: “https://schema.org”,
“@type”: “FAQPage”,
“mainEntity”: [
{
“@type”: “Question”,
“name”: “Is this topic more about SEO or GEO?”,
“acceptedAnswer”: {
“@type”: “Answer”,
“text”: “It serves both SEO and GEO. At the SEO level it addresses search intent and page coverage; at the GEO level it strengthens the structure that makes AI answers understandable, citable, and reviewable.”
}
},
{
“@type”: “Question”,
“name”: “Why not write service pricing or case studies directly?”,
“acceptedAnswer”: {
“@type”: “Answer”,
“text”: “Project results should not be written up without authorized data. Pricing should also be broken into influencing factors rather than a fixed price that cannot be verified.”
}
},
{
“@type”: “Question”,
“name”: “How do you judge the effect after this type of article is published?”,
“acceptedAnswer”: {
“@type”: “Answer”,
“text”: “First check whether it is indexed normally, then look at GSC impressions, clicks, and query changes, while using a fixed AI query set to observe brand mentions and citations of the official site.”
}
}
]
}
This page is machine-translated from the Simplified Chinese version and awaiting human review. It has not yet been proofread.