Guide to generative engine optimization (GEO)

The Common Ground and Differences Between GEO and SEO

Google's generative search functionality is built on top of its search index and core quality system, so GEO does not replace SEO. According to Google's official documentation, pages that can be used in AI Overview or AI Mode must first be indexed and meet the general search snippet requirements. There is no additional technical application required. The key differences lie in the context and measurement: SEO typically focuses on non-branded queries, natural clicks, and informational searches; while GEO focuses on AI-driven recommendations, the appearance of established question sets, and whether the brand is accurately described.

The first step is not to write more, but to ensure that the content can be easily scraped and indexed.

First, check the robots.txt file, CDN/WAF settings, HTTP status, canonical URLs, noindex tags, internal links, and sitemap. Important information must be present in easily accessible HTML, and should not be restricted to images, login pages, or interactive elements that search engines cannot access. Technical requirements are simply a prerequisite for participation, and do not guarantee that a page will be indexed or cited. If the page itself does not clearly answer the question, adding a dedicated AI file will not fill the content gap.

The second step is to establish a verifiable value for a single hand.

AI-powered searches make it easy to consolidate existing knowledge online, so businesses need to clearly state "what they have done, how they know, and any limitations." Falcon achieves this by linking service descriptions, identified authors, public case studies, technical diagrams, and limitations. It does not extrapolate benefits from operational data without customer consent, and it does not claim to replicate verified results. This approach not only improves human decision-making, but also benefits AI systems.

• The examples illustrate the actual scope of responsibility, data sources, time frame, and any confidential or non-public projects.
• The article is written by named authors, clearly distinguishing between official rules, project experience, and personal opinions.
• The document includes the source and diameter of the product, but the target performance level (SLA) is not specified as having been achieved.
• Create internal links between service pages, articles, case studies, and the "About" section to establish a traceable chain of evidence.

The third step is to create topic clusters based on the identified problems.

Avoid creating numerous pages with similar content based on individual keywords or city/industry-specific terms. The core service page should address procurement and delivery, the guide page should explain the principles, the cost page should cover the budget, and the case study page should demonstrate practical application. Each page should have a distinct primary question and next step, and these should be linked using descriptive anchor text. If two pages address the same topic, they should be merged or re-organized rather than each being expanded to around 2,000 words.

What can structured data do, and what can't it do?

Structured data such as Organization, Website, Service, Article, and Breadcrumb can help describe the page's entities, and the content must align with the text that users can see. Google explicitly states that AI features do not require specific Schema; proper tagging only indicates eligibility to use the corresponding search functionality, and does not guarantee rich results, ranking, or citations. If there is no physical store, "LocalBusiness" will not be outputted; if there are no publicly available reviews, "AggregateRating" will not be automatically filled in.

How can we accurately measure GEO data, rather than simply reporting on screenshots?

First, establish a baseline before publishing, then cross-validate using official reports, on-site behavior, and business results. Google has launched a Generative AI performance report for Search Console, which allows users to view data on AI Overviews and AI Mode, including impressions, display pages, countries, devices, and dates. However, this feature is currently only available to a limited number of websites. Bing Webmaster Tools also offers AI Performance data, including citation counts, cited pages, and grounding queries. However, these numbers do not represent rankings, authority, or position within search results. When official reports are not available, revert to standard web performance metrics, GA4, fixed query sets, and query sources. Avoid packaging sampling data as overall platform exposure.

Common Misconceptions about GEO

Google does not require llms.txt, AI text files, or specific markup to access AI Overview/AI Mode. Structured data is also not a requirement for AI indexing. The ability for crawlers to access a platform does not guarantee that its content will be indexed. The timing of when content is indexed is not fixed, as it depends on factors such as search queries, competition, and the indexing status of the platform and its models. The key indicators of successful indexing are technical availability, content evidence, and the ability to find and request information, rather than the vendor's promised timeline.