GEO is an industry term for work on visibility in AI search. Under Google’s official 2026 guidance, AI Overview and AI Mode have no additional technical requirements or dedicated AI schema; pages must still be crawlable, indexable and eligible to display a snippet. Falcon treats GEO as an extension of SEO: first-hand case studies, named responsibility, clear sources and measurement can help content be discovered in Google AI, ChatGPT Search and Perplexity, but do not guarantee citations.
SEO and GEO are not mutually exclusive fields. Google AI utilizes search indexes and core quality systems; ChatGPT Search and Perplexity also require accessible public pages. The main differences lie in measurement and context: SEO primarily focuses on non-branded queries, clicks, and inquiries; GEO focuses on AI search functionality exposure, platform referrals, and fixed query sets. The common foundation remains technical quality, real-world experience, and external trust.
Falcon GEO Service Scope
This is the actual work we provide:
Crawling, indexing, canonicalization, internal linking, speed, and content visibility checks
Necessary schema for Organization, Website, Service, Article, and Breadcrumb that aligns with the visual presentation
Disclosure of real author, case evidence, update date, source, and limitations
Organize topics based on real customer problems, avoid creating multiple query variations
Establish verifiable benchmarks using available GSC Generative AI, Bing AI Performance, GA4, fixed query sets, and inquiries
Content should not just be "fluent" to be cited by AI – it needs data, quotes, and sources
A team at Princeton University conducted research on GEO in 2023, where they took the same content and added statistical data, expert quotes, and verifiable sources, then tested the probability of being cited in a generative engine. The conclusion is that these "credibility-enhancing" writing styles actually increase the chances of being selected by AI. However, it's important to note that this is an improvement in "relative visibility" in a controlled experiment, which varies depending on the topic type (technical and data-driven topics benefit from citing sources, while lifestyle topics benefit from readability). This does not guarantee traffic or revenue. We have translated this finding into concrete writing practices: try to include verifiable numbers and sources for key arguments, use firsthand experience or expert opinions, and avoid vague adjectives. This is why we prefer to omit a single, unverified number rather than letting AI (and readers) perceive the content as untrustworthy.
Making AI "Recognize You": Brand Consistency and Third-Party Feedback
Brand names, responsible parties, services, phone numbers, and public links must be consistent across the website, social media, customer case studies, and third-party data. If there is no physical store, using a rented address to create a LocalBusiness signal is not possible. External mentions should only be genuine collaborations, customer references, and professional participation, not buying accounts, spamming forums, or creating encyclopedic pages that do not meet the inclusion criteria.
The Correct Positioning of llms.txt: Keep it, but Google will ignore it
Google’s Generative AI guidance from 2026-7 states that Google Search does not use llms.txt. Keeping or removing it does not improve Google rankings or visibility in AI features. There is no universal guarantee that other systems use it, so we treat it only as an inexpensive content summary, generated from the website’s existing content source. We do not present it as a core deliverable of paid GEO work.
How this website implements GEO
This website only retains Organization, Website, Service, Article, and CreativeWork schema that aligns with visible content; articles use real authors, case evidence, and limitations, and robots.txt allows OAI-SearchBot and PerplexityBot. FAQs are still available to readers, but we no longer output FAQPage/HowTo/Speakable to claim AI search effectiveness.
Falcon GEO Implementation Process
This is the actual process we follow when implementing GEO for a brand, from baseline measurement to verifying the changes in AI citation.
1
Baseline measurement
Conduct initial testing on ChatGPT, Claude, Gemini, and Perplexity to assess current brand mentions, documenting the results as a baseline.
2
Index and entity data correction
Correct crawling, indexing, canonical URLs, internal linking, and necessary schema to ensure that the content accessible to machines and the content seen by users are consistent.
3
Restructure AI-readable content
Rewrite key pages into a format that is easily accessible to AI: clear paragraphs, sentences that can be directly quoted, and clearly identified facts and sources.
4
Create topic clusters
Generate grouped content around core topics and link them together to build domain authority.
5
Re-test and quantify
Compare with Google/Bing official AI reports (when accounts are available), GA4, a fixed query set, and qualified queries, adjusting existing content based on landing pages and user intent.
GEO AI Search Optimization — Transparent Pricing
All packages include complete service content, with no hidden fees.
GEO foundation
TWD 12,500 /Starting from
Suitable for:Companies with existing websites and authentic professional content
Technical SEO and crawler checks
Entity and author data
Content verification
Official AI reports and query benchmarks
Integration of search growth
TWD 25,000 /Starting from
Suitable for:Companies that want to manage both traditional search and AI search
SEO/GEO fundamentals
Case and original content creation
Digital PR recommendations
Google/Bing AI/GA4 measurement
Frequently Asked Questions
How long will it take to see results with GEO?
There is no guaranteed timeline. Crawling and indexing corrections can be quickly verified, but whether a brand is cited by AI functionality will be affected by the query, platform, existing authority, and content competition. We observed the same set of metrics using 7, 28, 56, and 90, and do not guarantee results within a few weeks.
Should GEO and SEO be done separately or together?
The underlying signals overlap, and doing them separately will duplicate efforts. Our approach is to optimize content for both search engines simultaneously, avoiding conflicts between the two teams. If you already have an SEO agency, we can also fill in the gaps in AI readability.
How can I verify that GEO is actually effective?
Prioritize using Search Console Generative AI reports and Bing AI Performance, which are visible through accounts, and compare with GA4's AI sources, a fixed query sample, and qualified queries. Each set of data is clearly labeled; incorrect citations will not affect rankings, and sampling will not impersonate the overall platform exposure.
I already have an SEO agency, can I just use your services for GEO?
Yes. We will assess the AI readability of existing content and fill in the gaps, avoiding conflicts with existing SEO work.
Is it appropriate to start doing GEO on a brand that has little content?
Generally, it's best not to start a separate GEO project. First, establish a clear website, a responsible person, real case studies, search volume measurements, and necessary SEO content. If your company is entirely online and does not interact with customers face-to-face, you should not create a Google My Business profile that does not meet the requirements for local SEO.
Does E-E-A-T affect "being cited by AI"?
Yes, especially the Google AI Overview. The E-E-A-T (Expertise, Experience, Authoritativeness, Trustworthiness) framework, originally developed by Google to assess content quality, is often cited by AI summaries to determine credible sources. This means that content should have a named author with relevant experience, verifiable sources, and a consistent and positive brand image externally. These signals are useful for both SEO and GEO, and do not require separate strategies for each.
After implementing GEO, how can you measure the impact on traffic?
First, check Google AI visibility and Bing citation pages, then track ChatGPT's utm_source=chatgpt.com, AI platform referrer, landing pages, CTAs, and inquiries in GA4. It's important to note that some links and app traffic may not be measurable, so reports should not assume that visibility or citations automatically translate into conversions.
