AI search by industry
AEO for B2B SaaS
In B2B software, AI assistants answer almost entirely from third-party sources — review platforms, comparison articles and community threads — rather than from vendor sites. Being recommended means being present and current on those sources, not publishing more pages of your own.
How a shortlist actually gets built now
An ops lead at a 40-person company needs a helpdesk tool. They do not open Google and work through ten blue links any more. They ask an assistant for the best option for a team their size that connects to the stack they already run, and they get three names with a sentence of reasoning each.
Those three names did not come from vendor websites. They came from a G2 category page, a Reddit thread where practitioners argue about the same decision, and a comparison article written by someone with an affiliate link. The marketing site was never opened.
By the time that buyer reaches your pricing page, if they reach it at all, the shortlist is already set. You either made it or you did not, and that happened somewhere you do not control.
Questions buyers ask
Real prompts from this market, in the words buyers use.
- “best CRM for a 10-person agency”
- “alternatives to HubSpot that are cheaper”
- “which project management tool integrates with Xero”
- “is Notion good for a technical team”
- “cheapest tool for tracking customer feedback”
Sources that decide this category
Where answers in B2B SaaS are assembled from.
G2 and Capterra
Structured comparison data with categories, pricing and recent reviews — the format assistants find easiest to summarise into a shortlist.
Subreddit threads where practitioners argue about tools carry unusual weight, because they read as unsponsored and answer the exact question asked.
Vendor documentation
Docs settle factual questions about integrations and limits, which is why a competitor's docs can end up cited in an answer about you.
Comparison listicles
'Best X tools' articles are written to be summarised, and an absent brand simply does not enter the answer.
What is different here
Your own site barely features
Answers about software are assembled from sources that compare vendors. A vendor page claiming to be the best is exactly the kind of source an assistant discounts, so content strategy has to run through third parties.
Pricing pages are checked constantly
Pricing is the most-asked and most-often-wrong fact in this category. A tier that changed last quarter will keep appearing at the old number until the review profiles and comparison pages catch up.
Integration questions decide shortlists
'Does it work with X' is a disqualifying question, and it is usually answered from documentation rather than marketing. An integration that exists but is undocumented does not exist as far as an assistant is concerned.
Category naming matters more than usual
Software categories are contested and assistants group by them. A product that describes itself in a category nobody searches gets grouped with the wrong competitors, or with none.
What teams here get wrong
The habits that quietly cost B2B SaaS brands the most visibility.
- Treating the website as the main lever. Answers about software are assembled from comparison sources, so a claimed and complete review profile moves the number far more than a redesign does.
- Leaving pricing vague. 'Contact us' is not a fact an assistant can carry, so it either drops you from cost questions or quotes an old figure from somewhere else.
- Skipping Reddit because it feels unmanageable. Practitioner threads carry real weight precisely because they read as unsponsored, and a thread with wrong facts stays wrong until someone corrects it.
- Inventing a category name and using only that. Assistants group by categories they recognise, so a product described in wholly new terms matches no question anyone is asking.
- Undocumented integrations. Integration questions are answered from documentation rather than a logo wall, so an integration that is not in the docs does not exist.
Questions
Do we need a G2 profile to appear in AI answers?
Not strictly, but in most software categories the review platforms carry a large share of citations, so absence from them is a significant handicap. A claimed, complete profile with recent reviews is usually the single highest-leverage item.
Does our blog help?
Less than most teams expect for the recommendation questions, and more for the specific technical ones. Answers about which tool to pick draw on comparison sources; answers about how to do something draw on documentation and posts.
How do we handle a category we invented?
Carefully. Assistants can only group you with something they recognise, so a wholly novel category name tends to leave you unmatched to any question. Naming the established category alongside your own is usually the pragmatic route.
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