TL;DR: Generative Engine Optimization (GEO) is work on how a business is found, described and cited in AI search answers. Start with accessible pages, clear explanations and evidence buyers can check. Then repeat a defined set of questions and compare the answers with visits and enquiries. A citation is an observation; a technical implementation does not guarantee one.
The site still ranks, yet fewer people click. An AI answer now explains a question that your article used to answer. It links to other sources. Before blaming AI for lost sales, check the queries, results and customer journey: changes in demand, devices and search presentation can produce similar symptoms.
Canem Errant starts by saving the answers and checking the information about the business. The useful outcome is a specific finding: an inaccessible page, an unclear service or an unsupported statement. The platform decides which sources to show. Our work can improve the information available to it and measure what happens.
How does GEO differ from SEO?
SEO helps people find a website through search. GEO adds questions about how an AI answer mentions a business, explains its material and links to a source. Both depend on usable pages and useful information; neither stops at a ranking or a mention when the business needs customers.
| Comparison | SEO and GEO in practice |
|---|---|
| Goal | Search visibility and visits; also accurate mentions, recommendations and links in AI answers. |
| Reader | Buyers, search systems and systems that use retrieved documents to construct an answer. |
| Format | An explanation suited to the task: a short answer, conditions, detail and evidence. |
| Metrics | Positions, impressions, CTR and enquiries; mentions and citations within a recorded question set. |
| Technical work | Access, internal links, mobile usability and accurate business information; no universal GEO code. |
| Evidence | Original data with a method, period, author and identifiable sources. |
| Timing | Work and platform updates vary; implementation time is not a promise of appearing in answers. |
Google says that a supporting page for AI Overviews or AI Mode must be indexed and eligible for a search snippet. It does not require an extra AI-specific technical layer. A top-ten ranking and an AI citation are different observations. Google’s AI search guidance.
How does AI search collect an answer?
A useful explanatory model has three actions: retrieve documents, select relevant passages, compose an answer. It explains why access and a precise description matter. It is not a published universal ranking formula for Google, ChatGPT, Perplexity and Gemini.
Retrieval depends on finding an appropriate source. Selection depends on the question: which products are sold, where the service is available, what supports a result. During composition, an identifiable document lets the reader check an assertion. The system can still choose another source, omit a brand or make a mistake.
Separate a response based on a model’s general knowledge from one that searches the web. A newly updated page may not be used in the first case. In the second, save the displayed links and check whether they support the answer. Do not infer an invisible retrieval mechanism from the wording alone.
Which seven properties make a source easier to check?
1. A short answer before the detail
Explain what the buyer needs to know: what the service includes, how a metric is calculated or when the approach fits. Then show the conditions and evidence. A reader should not need four opening paragraphs to discover a delivery rule.
A two- or three-sentence summary is an editorial choice. It is not an instruction that makes an AI system select the page. Keep the useful depth below it; do not invent a statistic to make the opening sound more authoritative.
2. Headings that match buyers’ questions
“What is included in server-side order tracking?” tells the reader more than “Our advantages”. The section must provide the promised answer. Questions help when customers are choosing a supplier or clarifying responsibilities.
Product names, process steps and price tables can use ordinary headings. There is no reason to turn every H2 into a question or repeat every possible query variation. Choose the structure that helps a person use the material.
3. FAQ answers that resolve real doubts
Use questions about timing, compatibility, limitations and responsibilities. Four or five can be a sensible starting selection, rather than a platform quota. Each answer should stand on its own and add information to the article.
FAQPage describes published questions and answers. Google stopped displaying FAQ rich results from 7 May 2026; valid markup does not promise an AI citation. Google’s documentation changelog.
4. Structured data that describes visible content
The schema type depends on the document. Check its meaning and syntax, then compare it with what the visitor sees. Do not add invisible achievements or credentials to technical fields.
- FAQPage: published questions and answers.
- HowTo: the steps of an actual procedure.
- DefinedTerm: a described term or model, without establishing exclusive ownership.
- LocalBusiness: genuine information about a particular local business.
- CollectionPage: a collection or topic hub.
- SpeakableSpecification: content identified for spoken presentation; support depends on the consuming system.
BlogPosting can describe the main article. These types are not a checklist that every site must implement, and their syntax does not provide a measured GEO impact score. Schema.org definitions.
5. Original data and a useful model of work
A documented project, customer survey, product test or method can help a buyer judge expertise. Record the author, date and way the data was obtained. A unique title alone does not make a model useful.
Our Performance Autonomy Framework describes five levels of marketing automation maturity. Readers should be able to understand the criteria and assess their situation. The name does not oblige an AI system to credit the author.
Do not publish industry CPA averages without the sample, market, period and definition of a result. A carefully explained project is more useful than an unsupported benchmark table. Publish client information within the agreed permissions.
6. Numbers with context and a limit to the conclusion
In our ongoing engagement with Czech online retailer Erkado, work combines server-side event tracking, segmented campaigns across three distinct goals (e-commerce sales, B2B leads, and showroom hiring), and mobile checkout UX adjustments guided by Clarity observations. This demonstrates that reliable tracking infrastructure establishes data clarity, but works in concert with campaign management rather than driving isolated revenue leaps alone.
This is an example of documenting an advertising project. It is not a GEO result or proof that AI recommended Erkado more often. The figures come from our agency record, rather than an independent audit, and the combined changes do not isolate the effect of one tool.
For your own evidence, record comparable starting and ending values, the period and simultaneous changes. A lack of sales data is not repaired by reporting more impressions. An observation can be useful without a causal claim.
7. Consistent information beyond the website
Check the business website, company and author profiles on LinkedIn, and relevant industry listings. Google Business Profile can help an eligible local business present accurate information. WKO and Herold belong to the Austrian context; another market needs suitable sources.
A YouTube explanation or transcript may help a buyer understand a product. Each channel should have a purpose: checking experience, seeing use or finding genuine reviews. Four profiles, one video or repeated mentions do not guarantee authority or citation.
Correct inconsistent facts where possible. Do not create fake reviews or mentions to simulate independent recognition. Google’s current guide also rejects special AI files, forced content chunking and inauthentic mentions as shortcuts. Generative search optimization guide.
How should you measure GEO?
Keep three observations separate: requests to the site, recorded AI answers, commercial actions. A bot visit is not a recommendation, and a recommendation may not produce a visit.
| Observation | What to record |
|---|---|
| Crawling | URL, time, server response and verified agent; server or Cloudflare logs where available. |
| AI answers | Question, market, language, platform, mode, date, answer and source URL; mention, recommendation and citation separately. |
| Google impressions | The Generative AI performance report for AI Overviews and AI Mode, where data is available. |
| Visits and enquiries | Website analytics and CRM: source, enquiry, qualification and sale, with attribution limits. |
| Markup quality | Syntax and correspondence with visible content; a technical check, not a sales metric. |
OAI-SearchBot supports ChatGPT search; GPTBot is used for content that may contribute to model training. Their permissions are independent. More GPTBot requests do not demonstrate more search recommendations. OpenAI crawler documentation.
Google-Extended is a control token without a separate HTTP User-Agent. Its settings do not determine inclusion in Google Search. Counting “Google-Extended visits” as an ordinary crawler metric is therefore misleading. Google’s crawler reference.
The current Search Console report documentation describes AI Overviews and AI Mode impressions, including page, country and device views. This is not a separate report of enquiries or revenue. If it is missing, investigate access and sufficient data; absence is not proof that a business never appears in AI.
For repeated answer checks, use the same questions and record failed or absent answers too. A citation rate needs a defined denominator. A falling CTR with stable position also requires examination of query mix, devices and seasonality. See our AI visibility check and AI Overviews guide.
What could an eight-week work plan look like?
This is an example of a sequence, not a deadline for citations. Begin with a limited group of services and save the initial answers before making changes.
Weeks 1–2: content. Clarify the important answers, terms and buyer questions. Add useful FAQ sections while retaining the conditions a customer needs.
Weeks 3–4: technical checks. Inspect access, visible text, indexing and suitable schema. Fix an observed defect. Google ignores llms.txt for Search; maintaining one for another system is a separate decision, not a Google visibility improvement.
Weeks 5–6: evidence. Prepare a useful original document with a method and data. Link it to the relevant hub and service. A framework should help a decision, not merely have a new name.
Weeks 7–8: repeat and report. Repeat the original questions, compare accuracy and source links, and separately report visits and enquiries. Record changes on the site and possible platform changes; keep the original question set.
Monthly answer checks and quarterly information reviews can form an ongoing cadence. A new case each month requires enough projects and permission to publish their evidence. For a 25–50 article blog, estimate research, editing, translations, implementation and review after selecting the scope. Analytics, CMS and maintenance can add costs; this example is not a Canem Errant tariff.
Frequently Asked Questions
What is the practical difference between SEO and GEO?
SEO examines discovery and search visits. GEO adds how AI answers describe the business and link to its material. Connect both to enquiries and sales when judging business value.
Does GEO replace traditional SEO?
No. Accessible pages, useful information and a clear site structure remain important. One mention test is not a reason to stop SEO, and eligibility does not guarantee a citation.
What is the quickest useful starting action?
Choose one important service and clarify a frequent question, its conditions and evidence. Save an initial platform answer and repeat the check after the update. An FAQ can help the explanation without promising an immediate citation.
How can I know that an AI system cites my site?
Save the answer and open its displayed source link. It should lead to your material and support the statement. A crawler request, a brand mention and a source citation are separate observations.
Is this relevant to local businesses in Austria?
Yes, when buyers ask about local services. Check the real address, service area, offer, reviews and appropriate Business Profile. A profile and markup do not prove a first-place recommendation.
How can you start a business visibility review?
Choose a service, market and buyer language. Save answers where the business is absent or described incorrectly. Discuss a GEO review →; we will first establish the questions, available evidence and scope of the work.
