Buyers in every B2B software category are using AI to build shortlists. TrueCite tracks when AI engines recommend your brand, diagnoses why they recommend competitors instead, and gives you the content to change the outcome.
Buyers move through three stages in AI conversations. You need visibility at all three.
Stage
Awareness
Example prompt
“"What are the best tools for HR onboarding?"”
Why it matters
AI engines surface category leaders. Not appearing here = not in consideration.
Stage
Comparison
Example prompt
“"Compare [Your Brand] vs [Competitor]"”
Why it matters
AI engines synthesize reviews, G2, and structured data. Sentiment matters here.
Stage
Decision
Example prompt
“"Is [Your Brand] good for enterprise HR teams?"”
Why it matters
AI engines cite specific case studies, reviews, and authority sources. Position matters.
These are the signals TrueCite checks and that the top AI engines weight most heavily.
FAQPage JSON-LD schema
Structured Q&A data on product pages. Direct signal for AI answer generation.
Organization JSON-LD with sameAs
Establishes brand identity across review sites, LinkedIn, Crunchbase.
llms.txt on domain root
Guides AI crawlers to priority product, pricing, and case study pages.
G2 / Capterra review volume
Third-party review platforms are heavily cited by AI engines in recommendations.
Answer-first content paragraphs
Definitional content that directly answers buyer-intent questions gets cited.
HowTo schema on integration guides
Step-by-step structured data signals expertise and gets cited in how-to answers.
Track how often AI engines recommend your brand across your target buying prompts. Score by engine, prompt, and competitor.
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See which engines favor your competitors and why. Gap analysis tells you the exact signals they have that you don't.
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Generates FAQ blocks, JSON-LD schema, and answer paragraphs for every missed scan. Write the brief, ship the content.
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Page-level audit across your entire site. Technical, content, and AI-readiness scores with prioritized fix recommendations.
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Add these to your TrueCite prompt library to track your visibility for the most commercially valuable buyer queries. Start tracking →
"What is the best [your category] for [use case]?"
Highest buyer intent. If you are not in this answer, you are not on the shortlist.
"How does [your product] compare to [competitor]?"
Evaluation stage. Buyers use AI to shortlist — you need to appear here.
"What does [your product] integrate with?"
Technical evaluation. Integration pages with schema are highly citable.
"How much does [your product] cost?"
Pricing research. A well-structured pricing page with schema captures this.
"Is [your product] good for [team size / industry]?"
Fit assessment. Use-case landing pages and case studies are the fix.
Read our full AEO for SaaS guide →
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SEO optimizes for a ranked list of links; AEO optimizes for being named inside a single composed answer. For B2B SaaS that difference is sharp, because buyers increasingly ask an engine to shortlist vendors rather than browsing results. You are either in the shortlist or absent from it — there is no position 7 to improve from.
ChatGPT and Perplexity carry the most B2B software research traffic today, with Gemini rising as it is folded into Google surfaces. Claude appears more in technical evaluation. The practical answer is to track all of them, because engines disagree with each other constantly — being cited on one is no guarantee on the next.
Comparison and alternatives pages, pricing that is stated in text rather than locked behind a form, integration and documentation pages, and FAQ blocks that answer a buying question directly in the first sentence. Engines quote what is unambiguous and extractable — marketing copy that never states a fact is rarely citable.
Run the buyer-intent prompts your prospects actually use across every engine, then count how often your brand appears versus competitors. That mention rate — MentionShare — is the number to move. A one-off check is a snapshot; scanning on a schedule is what shows whether a change worked.