Define the problem
They ask about the problem or the process, often without naming any brand.
How software buyers research with AI search engines, which assets make a SaaS product citable and what to measure. Majotek is a software company and practises GEO from that craft.
Software buyers compare alternatives and ask about the category, integrations and use cases, not just the brand. GEO for SaaS means the product is clearly defined, has citable pages for every shortlist question and is represented accurately in the third-party sources of its category.
They ask about the problem or the process, often without naming any brand.
They ask for alternatives and the differences between them.
They check whether it fits their systems and their data requirements.
They cross-check directories, comparisons and reviews before getting in touch.
Illustrative; real prompts are defined with each company based on how its buyers ask.
| Stage | Example query | What the website must be able to answer |
|---|---|---|
| Problem | How to stop managing X in spreadsheets | A guide to the problem with an approach and a link to the product |
| Category | What X software is and which alternatives exist | A definition of the category and an honest comparison |
| Comparison | Differences between A and B for a company of this size | A comparison page with verifiable criteria |
| Integration | X software that integrates with Y | An integrations page with concrete details |
| Intent | Own asset | External source to cross-check | GEO metric |
|---|---|---|---|
| Understand the problem | Process guide and use cases | Industry publications | Coverage and accuracy in problem prompts |
| Compare category and alternatives | Category page and comparisons with explicit criteria | Independent directories and comparisons | Mentions and primary pick, coded separately |
| Validate technical fit | Integrations, API, documentation and requirements | Marketplaces and partner documentation | Citations of technical pages and integration accuracy |
| Assess security and purchase | Security, privacy, pricing or buying process | Verifiable public registers and references | Answer accuracy; coverage of purchase queries |
Guides, API and help content: factual and easy to cite.
Product profiles that must match your own website.
Listings and analyses already retrieved for the query.
Integration listings and plugin or app directories.
Editorial mentions with context.
Describing the product in broad terms that confuse it with another category. Having many feature pages that cannibalise each other. Depending on third-party listings with outdated data. Claiming integrations or certifications that cannot be verified.
| What | Why |
|---|---|
| Prompt coverage in category queries | To see whether the brand appears when it is not named |
| Mentions against direct competitors | To place the brand in its shortlist |
| Citations of product, integration and documentation pages | To know which assets are used as sources |
| Accuracy of the product description | To detect category confusion |
| AI referral traffic, when it exists | To cross-check with your own analytics |
A canonical description of what the product is and who it is for.
Pages for problem, category, comparison and integration, plus pricing or how to buy, security, documentation, case studies and requirements.
Align directories, marketplaces and press.
A frozen prompt set and repetitions.
Because software buyers often build their shortlist by asking a search engine or assistant, and software categories have many alternatives and third-party comparisons. There, understanding the category matters more than a keyword.
A clear product page, integration and use-case pages, public documentation, a pricing or how-to-buy page, and content that defines its category. Without that foundation, GEO has nothing to build on.
Directories and review sites are sources that AI search engines can retrieve, so their consistency with your own website matters. Reviews must never be invented or incentivised: just keep the data accurate.
