AI Visibility Benchmarks by Industry
2026 citation rate data across 7 major verticals. Understand where your industry stands and what's possible with AEO.
Benchmark Methodology
This data is compiled from 160 Source Map Reports run across 110 brands between December 2025 and February 2026. Each report tests 150+ industry-relevant queries across ChatGPT, Claude, Gemini, and Perplexity.
Citation Rate = (Number of queries where brand is cited / Total queries tested) × 100. "Pre-AEO" benchmarks represent sites with no systematic Answer Engine Optimization. "Post-AEO" represents results 30-45 days after implementing our framework.
// Cross-Industry Summary
(Pre-AEO)
(Post-AEO)
(AEO Impact)
Measurable Results
| Industry | Pre-AEO Citation Rate | Post-AEO Citation Rate | Improvement | Avg. Timeline |
|---|---|---|---|---|
| B2B SaaS | 34% | 68% | +100% | 18-24 days |
| E-Commerce | 41% | 73% | +78% | 16-22 days |
| Local Business | 52% | 81% | +56% | 14-18 days |
| B2B Services | 29% | 64% | +121% | 20-26 days |
| Healthcare | 38% | 70% | +84% | 18-24 days |
| Finance/FinTech | 31% | 62% | +100% | 22-28 days |
| Real Estate | 45% | 76% | +69% | 16-20 days |
// Industry-Specific Insights
B2B SaaS
Sample queries: "best project management software", "CRM for small business", "marketing automation tools comparison"
Why SaaS has high improvement potential: Product schema with transparent pricing, feature comparison tables, and integration documentation are highly citable. Most SaaS sites lack proper FAQPage and Product schema—low-hanging fruit.
Critical schema types:
- • Product + AggregateOffer (pricing tiers)
- • FAQPage (feature questions)
- • HowTo (setup/integration guides)
- • SoftwareApplication (technical specs)
E-Commerce
Sample queries: "best running shoes for plantar fasciitis", "organic skincare brands", "coffee maker under $200"
Why E-commerce has strong baseline: Product pages naturally contain structured data (price, availability, reviews). ChatGPT Shopping and Perplexity Buy actively prioritize product citations. Adding FAQPage for "how to choose" queries drives biggest gains.
Critical schema types:
- • Product + Offer (price, availability, reviews)
- • AggregateRating (review summaries)
- • FAQPage (buying guides, comparisons)
- • Article (category education content)
Local Business
Sample queries: "plumber near me", "best Italian restaurant in Asheville", "dentist accepting new patients"
Why Local has highest baseline: Google Business Profile, Yelp, and directory NAP data already feed AI engines. LocalBusiness schema + consistent NAP across all platforms = fast wins. Lower improvement % because starting higher.
Critical schema types:
- • LocalBusiness (NAP, hours, service area)
- • AggregateRating (review consolidation)
- • FAQPage (service FAQs)
- • Service (specific offerings)
B2B Services (Agencies, Consulting, Professional Services)
Sample queries: "digital marketing agency for SaaS", "fractional CFO services", "IT consulting for healthcare"
Why B2B Services has lowest baseline: Service businesses often lack structured pricing, product schema, and concrete data points. Heavy on "contact us" CTAs instead of citable information. HUGE opportunity for AEO—121% improvement is highest across all verticals.
Critical schema types:
- • Service + AggregateOffer (pricing transparency)
- • FAQPage (process, deliverables, pricing)
- • HowTo (methodology guides)
- • Person (team bios for E-E-A-T)
Healthcare (Providers, Practices, Wellness)
Sample queries: "symptoms of vitamin D deficiency", "orthopedic surgeon near me", "when to see a cardiologist"
Why Healthcare benefits from AEO: Medical queries are information-dense—AI engines prioritize authoritative health content. MedicalWebPage schema + physician credentials (Person schema) = strong E-E-A-T. FAQPage for symptoms/conditions drives citations.
Critical schema types:
- • MedicalWebPage (condition pages)
- • Physician (doctor bios with credentials)
- • FAQPage (symptoms, treatments)
- • LocalBusiness (practice info, insurance)
Finance & FinTech
Sample queries: "how to calculate ROI", "best business credit card", "what is a Roth IRA"
Why Finance has lower baseline: Regulatory constraints limit what financial brands can claim. Many hide pricing/terms. AI engines are cautious about financial advice without clear authorship. Adding Person schema (financial advisors), transparent FinancialProduct schema, and HowTo guides for calculations = big gains.
Critical schema types:
- • FinancialProduct (terms, rates, eligibility)
- • Person (advisor credentials, CFP designation)
- • FAQPage (eligibility, terms, fees)
- • HowTo (calculation guides)
Real Estate
Sample queries: "homes for sale in Asheville NC", "average rent in Brooklyn", "how to buy a house"
Why Real Estate has good baseline: Listing sites (Zillow, Realtor.com) provide structured data AI engines already use. RealEstateListing schema + location-specific FAQs (neighborhood guides, market trends) = strong local citations.
Critical schema types:
- • RealEstateListing (property details)
- • Place (neighborhood/location data)
- • FAQPage (buying/selling process, market FAQs)
- • Person (agent bios, designations)
// Key Takeaways
- Local businesses start highest (52% baseline) due to existing NAP data in Google Business Profile and directories. Still see +56% improvement with proper LocalBusiness schema and FAQs.
- B2B Services have lowest baseline (29%) but highest improvement (+121%) because most lack pricing transparency and structured data. Massive low-hanging fruit.
- E-commerce benefits from ChatGPT Shopping integration—Product schema with pricing and reviews = 73% post-AEO citation rate.
- SaaS and Finance double their baseline (+100%) with transparent pricing and feature schema. Hiding pricing behind "contact us" kills citations.
- Average timeline is 18-24 days—dramatically faster than traditional SEO's 3-6 months. AEO ROI is front-loaded.
- All industries benefit from FAQPage schema—it's the universal citation driver across verticals.
Where Does Your Industry Stand?
Get a baseline Source Map Report to see how your site compares to industry benchmarks. We test 150+ queries across all 4 AI engines and show you exactly where you rank vs. competitors.