Reorganise knowledge around buying questions
Structure pages around what something is, who it is for, how to choose, how it compares, and what risks to watch, so engines can extract a complete answer.
RAG GEO
Help public specialist knowledge appear in generative search answers
When international buyers ask ChatGPT, Gemini, Perplexity, or Google AI Overviews about selection, acceptance, or supplier types, they often read a synthesised answer before deciding which websites to open. Generative engine optimisation (GEO) is the work of helping a company’s specialist content be crawled, understood, and cited by those engines. Inquiry Cloud’s RAG GEO constrains the source with a company knowledge base, rather than asking a model to rewrite the website from general impressions.
Who it is for
- Export teams whose buyers already use AI conversations for early research
- Manufacturers or traders whose principles, fit, and acceptance criteria need to be stated accurately
- Site operators who want to add the generative-answer channel alongside conventional search
What the work covers
Build citable sources
Organise and mark public specifications, certifications, applications, and boundaries into clear, well-structured statements that can be checked.
Constrain generation with RAG
Retrieve the company’s own knowledge first, then write. This reduces fluent but inaccurate wording and helps keep internal commercial details off public pages.
Connect with SEO, the website, and CRM
GEO does not replace visibility on search result pages. The website remains a primary destination, and inquiries should inform the next set of topics.
Key parameters
Primary setting
Aimed at generative answers in tools such as ChatGPT, Gemini, Perplexity, and Google AI Overviews, helping public specialist knowledge be crawled, understood, and cited.
Method
A company knowledge base constrains the source. Content is organised around what something is, who it is for, how to choose, how it compares, and what risks to watch, in a structure that is easier to cite.
Typical inputs
Public specifications, certifications, applications, and boundaries. Internal commercial information should be separated in advance and should not enter public content.
Typical outputs
Clear, well-structured explanation pages or topic pieces that engines can extract, usually including a definition, comparisons, steps, and frequent questions.
How it works with other products
It shares the same company knowledge base with RAG SEO, though the distribution channels differ. The website remains an important destination, and visits should enter a unified inquiry follow-up process where possible.
What it does not replace
GEO does not replace conventional SEO, and it does not replace the company’s confirmation of product facts and public wording. Doing only one leaves a gap in the other half of the path.
Public boundaries
Only knowledge that is suitable for publication is organised. Internal quotations or other commercial terms should not be placed on public pages.
Where this is typically used
RAG GEO is usually discussed when target buyers already use generative tools for early research, but public specifications, boundaries, and applications have not yet been written as clear, checkable content. It can share a knowledge base with RAG SEO, and it does not replace visibility on search result pages.
Complete specifications, little selection logic
If engineers still have to ask, repeatedly, how to choose under different conditions, comparisons and common misuse notes should be written in a citable structure so both search visits and AI answers can receive a checkable response.
Learn moreToo little citable wording in AI answers
When buyers ask generative engines about principles, selection, or supplier types, a brand is hard to appear in those answers unless its specialist explanations have been organised as public, checkable content.
Learn moreAnswer from company knowledge
Public specifications, applications, certifications, and limits are organised first, then drafted and reviewed, so both search and generative engines can cite the company’s own knowledge.
Learn moreTechnical documents and the website disagree
If white papers, specification sheets, and product pages fall out of date at different times, a single public source of knowledge should be established first, then synced to the site and later SEO / GEO content.
Learn moreHow the work usually proceeds
1
Separate public from non-public information
Decide which specifications, certifications, applications, and examples can be published, and which remain internal.
2
Write frequent buying questions in a citable structure
Open with a clear definition, use comparisons and steps in the middle, and close with frequent questions.
3
Keep the site technically healthy
Crawlability, stable loading, and a clear information hierarchy remain shared foundations for SEO and GEO.
4
Watch citations and inquiries, not article count alone
See whether the brand or product appears in answers to target questions, and whether those visits become followable leads.
How GEO and conventional SEO divide the work
| Conventional SEO | GEO (generative engine optimisation) | |
|---|---|---|
| Primary setting | Search result pages such as Google and Bing | ChatGPT, Gemini, Perplexity, Google AI Overviews, and similar tools |
| User behaviour | Scan a list and compare several links | Read or follow up on a synthesised answer |
| Typical aim | Keyword visibility, organic visits, and inquiries | Being mentioned or cited as a source inside an answer |
| Content requirements | Crawlable, structured, and matched to search intent | Those requirements, plus clear facts, a citable structure, and a checkable source |
GEO does not replace SEO
Buyers still use search engines to look up models and suppliers, and they also ask generative engines about principles and selection. Doing only one leaves a gap in the other half of the path. RAG SEO and RAG GEO can share the same company knowledge base: the distribution channels differ, the source should not.
Need a proposal that fits your situation?
Tell us about your current site, target markets, and the problem you want to solve first. We will shape a direction from that, rather than starting with a price list.