Here's an analogy that saves SaaS teams a lot of money.
A smoke detector tells you there's a fire. A fire brigade puts it out. You need both, but nobody thinks buying a better smoke detector will stop the kitchen burning.
Most AI visibility tools are smoke detectors. That's not an insult; detection matters. But if you're a Brisbane startup deciding between the best aeo geo tools for startups vs enterprise options, it helps to know what you're actually buying.
This post covers what to detect, how to build a cheap detector yourself, and when it's worth paying for one.
What you're detecting: four layers
Kiyado's article on GEO vs SEO vs AEO vs AIO frames these as four layers of one job:
Layer
Question
Signal
SEO
Are we in the list?
Rankings, clicks, indexation
AEO
Are we the lifted answer?
Featured snippet or "People Also Ask" ownership
AIO
Are we in Google's AI Overview?
Citation in the overview
GEO
Do AI assistants recommend us?
Named, cited, accurate in ChatGPT, Gemini, Perplexity, Copilot
They stack. SEO is the foundation; AEO shapes answers; AIO is Google's AI layer; GEO is the full picture. If the foundation is cracked, alarms higher up are mostly noise.
The startup detector: build it in an afternoon
You don't need a platform to start. A spreadsheet and a script will do.
- Define a small prompt set. Ten to twenty prompts, mixing category, brand and comparison questions:
prompts:
- id: cat-01 text: "best rostering software for Australian hospitality"
- id: brand-01 text: "what is Example Roster?"
- id: comp-01 text: "Example Roster vs Competitor X"
- Log results in a flat table. date,engine,prompt_id,named,cited,accurate,notes 2026-10-01,chatgpt,cat-01,0,0,,competitors A and B named 2026-10-01,perplexity,brand-01,1,1,0,old pricing quoted
- Score with a tiny helper. def score(answer: str, aliases: list[str], domain: str) -> dict: text = answer.lower() return { "named": any(a.lower() in text for a in aliases), "cited": domain.lower() in text, } Collect answers through official APIs where available, or manually. Respect each provider's terms of service and rate limits, and remember API answers can differ from the consumer apps.
- Check SEO and AEO in Search Console. Track indexation and positions for the queries that matter. For snippets and AI Overviews, a monthly manual check of 20 queries is honest and cheap. That's a working smoke detector for a seed-stage team. When to buy an enterprise detector Paid platforms earn their keep when the problem gets bigger than a spreadsheet: Many markets or languages. Tracking prompts across Australia, New Zealand, the UK and the US by hand gets painful fast. Many products or business units. You need reporting per product line. Stakeholder reporting. Leadership wants trend charts, not CSVs. Historical depth. Answers change; you need months of stored answers to see real trends. The key question to ask any vendor: does it show me the raw answer text? A score without the words behind it is a smoke detector with no indication of which room is burning. The fire brigade problem Here's where most teams get stuck. The detector goes off. Now what? The Kiyado article explains why GEO in particular resists tool-only fixes. GEO goes further than AEO in three ways:
- Many sources, one answer. Engines combine sources; you need to be one of the voices.
- Recommendations, not just definitions. "Who should I use" questions are where buying decisions happen.
- Off-site influence. Directories, review platforms, press and partner listings shape the answer. It also cites G2's 2026 research: buyers trust AI recommendations but still check them against review sites. For SaaS, that means G2 and Capterra profiles aren't optional decoration. None of that is fixed by a dashboard. It's fixed by people rewriting pages, aligning listings and earning coverage. In-house or agency, someone has to be the fire brigade. A decision rule that sticks The article's diagnostic doubles as a tooling guide: Pages not indexed or past page two? You don't need a GEO tool yet. Use Search Console and fix SEO. Ranking, but missing from snippets and AI Overviews? A lightweight tracker plus content work on question-style headings and clear answers. (The often-quoted 40–60-word answer length is a practitioner guideline, not a published rule.) Competitors named by ChatGPT, you aren't? Now a GEO tracker earns its place, alongside off-site work. All three? One plan, in that order. Don't let the tool budget eat the fix budget. Make the alarms specific A vague alarm gets ignored. "AI visibility down 4%" tells nobody what to do. "Perplexity quotes our 2024 pricing for brand-01" tells the docs team exactly which page and listing to fix. When you log results, always record which layer failed and what the engine said. Startups vs enterprise, in one line each Startup: build a cheap detector, spend the money on fixes. Enterprise: buy a good detector, and make sure a named team owns every alarm. Don't split the brigade One last warning from the article: don't buy four separate retainers for four acronyms. The layers share the same pages, technical base and content. Separate vendors can work against each other, and in a SaaS company those shared pages are your pricing, docs and comparison pages: the most valuable URLs you own. If you'd like an outside audit of all four layers for your Brisbane product, Kiyado offers one free: SEO and GEO for Brisbane businesses →
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