Five steps to make ChatGPT, Gemini and Perplexity recommend your product. Tap a step to see the detail and the one task to do this week.
Can AI give an AEO-ready answer about what your product actually does?
Buyers ask AI very specific functional questions — "does it support SSO", "can it automate X", "does it integrate with Y" — before they ever land on your site. State plainly, on every product and feature page, exactly what each feature does and what it doesn't: honest limitations ("one-way sync only", "bulk export is Team plan and above") are counterintuitive for marketing copy but are exactly what makes a page trustworthy enough for a model to cite.
Does your comparison content give AI enough detail to cite you over competitors?
"[You] vs [Competitor]" is one of the highest-intent patterns in SaaS buying, and exactly what people now ask AI instead of Googling — so this is where most of your effort should sit. Go deep on function, not adjectives: name the specific feature, the specific mechanism and the specific outcome ("our automation builder supports conditional branching without custom code"). Be genuinely fair about where a competitor fits better — thin, one-sided pages push models toward neutral G2 grids instead of citing you.
Do you know which competitors AI is citing for your key SaaS queries?
Before investing further, run your real target buyer queries — "best SaaS for X", "X vs Y", "best tool for [task]" — through ChatGPT, Gemini, Perplexity and Google's AI Overview, and note who gets cited. That shows you which gap is actually yours rather than guessing. Treat it as an ongoing discipline: a tracking tool (HubSpot's AI visibility tracking, or a specialist like Searchable) turns a manual spot-check into a monthly signal.
Do G2, Capterra and your own site tell AI the same story?
Models weigh review platforms heavily, so an outdated G2 or Capterra listing — old feature set, old pricing tier, a category that no longer fits — is often the version AI surfaces instead of your current site. Public docs are the other quiet culprit: if they describe a feature differently from your marketing (different terms, deprecated features still documented), that mismatch is easy for a model to pick up and hard for a human to notice.
Does the wider SaaS ecosystem vouch for your AI visibility?
The sources that count are concrete: genuine G2/Capterra reviews, listings in integration partners' directories ("works with X"), mentions in dev communities (Stack Overflow, Slack/Discord, GitHub), and category publications. These matter more than generic press because they're what your buyers already trust. Recency matters as much as volume — a steady monthly trickle beats 200 reviews from three years ago, which read as evidence about an old version of your product.
SEO is about ranking in traditional search results. AEO (Answer Engine Optimisation) is about being the source an AI system lifts a direct answer from. GEO (Generative Engine Optimisation) is the umbrella term for visibility across all AI-generated answers — AI Overviews, chat assistants, generative search. For a SaaS company they overlap heavily, and the same fixes improve all three.
Yes. "SaaS" is just a label for how software is delivered and billed. If you sell a software product or platform — whatever you call yourselves — the same AI-visibility principles apply, across HR tech, martech, fintech, dev tools, cybersecurity, healthtech and more.
Yes, but the citable answer becomes different information: what triggers the contact path — seat count, feature tier, deployment type — rather than a number. Vague lines like "flexible pricing to suit your needs" still give AI nothing to cite.
Yes. A large but ageing review pool tends to describe an old version of your product. AI systems appear to weight recent reviews and mentions more heavily when forming a current view, so a steady, ongoing trickle of new reviews is worth more than a high total from a single push years ago.
Want a second pair of eyes on your SaaS company's AI visibility?
Book a free 30-minute call and we'll walk through where you stand across these five AEO/GEO steps — and what to fix first.