GEO / AI SEARCH
SEO helps buyers find you; GEO helps AI mention you
GEO is not about making articles sound like AI. It is about building a genuine, structured and citable brand entity.
Five GEO activities
- Research how the industry and competitors appear in AI answers.
- Expand real question scenarios into a query list.
- Organize product, industry, value proposition, credential, technical and company information into a knowledge base.
- Create fact-rich, well-structured content that can be cited independently.
- Monitor platforms such as ChatGPT and Gemini, retaining screenshots and links.
AI answers change. GEO should not promise a fixed position; it should define the process, content output and monitoring criteria.
Base query research on real buyer questions
Queries are more than industry or product names. They include questions about applications, selection, specifications, quality, customization and delivery that buyers ask while comparing suppliers. Group them by buyer role and purchase stage, then prioritize topics the company can answer with verified information instead of adding unrelated terms to inflate a list.
Ground every answer in evidence
Organize company and brand information, product specifications, technical capabilities, applications, quality evidence and service boundaries separately, with source and update date. Distinguish facts, conditions and limitations. Verify accuracy and public authorization before mentioning certifications, customers, cases or results.
Connect production, publishing and monitoring
After publishing, revisit target AI platforms with a consistent prompt set. Save dated answers and citations, and record brand mentions, cited pages and competitor changes. Feed those observations back into query research, source material and content structure. Answers vary by platform; monitoring helps identify trends and gaps, not guarantee a fixed recommendation or sale.
When a page is not indexed, separate crawling, eligibility and canonical selection
“Crawled – currently not indexed” in Search Console is an index-state observation, not by itself proof of a penalty or poor-quality content. Start with one URL that genuinely serves a search purpose, then check:
- Should this URL be indexed? Filter results, tracking parameters and duplicate pages may not deserve separate search entries. Define the intended canonical URL first.
- Can Google crawl and read it? Check the response, robots.txt and rendering access. A robots.txt block can prevent crawlers from reading a page-level noindex directive.
- Is indexing allowed? Review meta robots and actual response headers so important pages are not accidentally marked noindex.
- Do canonical signals agree? Compare page content, declared canonical, internal links and sitemap URLs. A canonical is a signal, not a guarantee that a search engine will select that URL.
- If crawling works but the page is not selected, review duplication, whether it serves a distinct need, and whether relevant product, industry-solution or guide pages link to it.
Record the known index state separately from the live test in Search Console. A successful live test means the URL is currently accessible and meets some technical conditions; it does not mean the page is indexed or ranked. Sitemap submission and repeated crawl requests do not guarantee indexing.
Map search intent to pages before planning content
Group queries by buyer role, purchase stage and search intent, then assign one primary destination to each core topic: product and service queries to product pages, industry and application needs to solution pages, and specific how-to questions to guides or blog articles. Check nearby pages for competing on the same intent. Cover related questions in useful sections and internal links rather than publishing near-duplicate articles.
GEO query sets should also reflect real buying situations. Answer only with capabilities, specifications, evidence and limits that the company can verify. Record the platform, prompt, observation date, brand mention and cited source; monitoring informs review and iteration, not a promise of fixed recommendations.