G2 & Capterra
The two listings AI assistants over-cite for "best of" comparisons. Category page placement matters more than star average.
Use case · B2B SaaS
When the buyer asks AI for a shortlist, you need to be on it.
B2B buyers now run their first comparison inside a chat window. The shortlist that comes back — three to five named vendors — is the consideration set. Intendity tracks whether you’re on it, where you’re losing, and the specific moves that put you in.
The prompts
Real questions. Real shortlists.
These are the patterns we see across every B2B SaaS account. Same intent the buyer once typed into Google — now answered with named vendors and embedded review citations.
- › best CRM for outbound sales teams under 50 people
- › alternative to Salesforce for a Series B startup
- › is HubSpot or Pipedrive better for early-stage SaaS
- › leading product analytics tools cited by VCs
- › what do users say about [your product] on Reddit
Four moments where AI decides for the buyer.
AEO matters at every stage — but the specific prompts and the sources that drive them shift across the journey. Intendity tracks all four.
- 01
Awareness
Buyer asks AI: "what tools do startups use for X?" Models name 3–5 brands. If you're not one of them, the funnel never starts.
- 02
Consideration
Buyer asks AI: "is Y a good fit for our use case?" Models cite specific reviews, Reddit threads and feature comparisons. Sentiment matters as much as inclusion.
- 03
Decision
Buyer asks AI: "is X or Y better for our team size?" Models compare side-by-side. Pricing accuracy, feature parity and review-source freshness drive the verdict.
- 04
Renewal
After purchase, buyers ask AI again — "is there a better tool than the one we have?" Defending against churn means staying in the answer with current pricing and shipped roadmap.
The sources models cite for SaaS.
The pool is small and predictable. Win the source, win the answer. Intendity surfaces which of these are driving each prompt for your category.
Reddit (r/SaaS, r/sales, r/marketing)
Heavy weight in Claude and ChatGPT answers. Authentic discussion is rewarded; promotional accounts are filtered out.
Wikipedia
For category-defining articles ("Customer relationship management"). One paragraph mention is worth a quarter of content marketing.
Trade press (TechCrunch, The Information, Pragmatic Engineer)
Cited especially in funding context — "the leading X in YC W23." A single article can shift the shortlist for months.
Listicles ("Top 10 X tools 2026")
Models routinely scrape and re-summarize them. Top-3 placement on the highest-PR listicle is the prize.
Your own pricing & comparison pages
When schema is right (FAQPage, Product, Offer), models pull verbatim from these. Most teams under-invest here.
Six plays Intendity will recommend.
Not generic content advice. Specific moves with specific source-level evidence — the Wikipedia article, the Reddit thread, the comparison page that’s currently winning for your competitor.
Reddit thread strategy
Identify the three most-cited threads in your category. Engage authentically — answer questions, share specifics, link sparingly. Models reward signal-density.
G2 / Capterra category page
Top-3 placement on a category page outweighs raw review count. Focus reviews on the comparison phrases buyers ask AI.
Pricing-page schema
Add Product, Offer and FAQPage schema. Models pull verbatim. Most teams ship a pricing page with zero structured data — easy lift, big upside.
Wikipedia category presence
Earn a one-line mention on the category article ("Notable vendors"). Requires a sourced trade-press citation — coordinate with PR.
Comparison pages on your domain
Publish "X vs Y" pages with structured comparison tables. Models cite these for shortlist questions, especially when buyer asks for a direct head-to-head.
API + MCP for analytics
Pipe daily visibility into your warehouse alongside funnel data. Correlate AI-mention rate with pipeline created by source — the AEO equivalent of organic-search attribution.
The KPIs marketing leaders track.
AEO produces metrics that map cleanly onto the funnel reporting your team already runs. Three numbers we see CMOs adopt within the first quarter:
KPI 01
Mention rate
Percentage of (prompt × model) runs that name your brand. The simplest scoreboard for AI-search share. Track weekly, target a 6-month doubling.
KPI 02
Share of voice
Your mentions vs. the named competitor set. Reveals whether you’re winning the category or just gaining at the long-tail’s expense.
KPI 03
Citation coverage
Percentage of your category’s "must-cite" sources where you have a positioned presence. The leading indicator that predicts the next quarter’s mention rate.
See where your shortlist stands.
Five minutes from sign-up to your first B2B SaaS visibility report — across ChatGPT, Claude, Gemini and Perplexity.