How to Improve Your AEO Score: 10 Proven Tactics for 2026

01. Deploy Schema Markup Across Every Page

Impact: High · Effort: Medium · Time to result: 2–4 weeks

Structured data is machine-readable metadata that tells AI crawlers exactly what your content is about. It's the single fastest way to improve AI citation rates for product and service pages.

Schema markup doesn't just help Google — it's used by AI systems during RAG retrieval to understand page context quickly. Pages with Organization, Product, or FAQ schema get cited in AI responses at roughly 2.4x the rate of unstructured pages, according to internal data from Surfaced's citation analysis.

How to implement:

• •Add Organization schema to your homepage with name, url, logo, sameAs (LinkedIn, Twitter, Crunchbase, Wikipedia)
• •Add Product schema to every product/service page with name, description, offers, aggregateRating
• •Add FAQ schema to any page with Q&A content — even just 3 questions qualifies
• •Add HowTo schema to guides and tutorials
• •Validate everything with Google's Rich Results Test before publishing

Priority order: Organization → Product/Service → FAQ → HowTo → Article. Don't skip Organization schema — it's how AI models resolve your brand's identity across the web.

02. Build Dedicated FAQ Pages

Impact: High · Effort: Low · Time to result: 1–3 weeks

AI models are trained to answer questions. Content formatted as questions and answers gets extracted and cited at dramatically higher rates than prose-only content.

When Perplexity or ChatGPT web search retrieves a page, it scans for content that directly answers the user's query. FAQ-formatted content reduces the work the AI has to do — making your answer the path of least resistance.

How to implement:

• •Create a /faq page covering the 20–30 most common questions in your category
• •Answer each question in 2–4 sentences — concise answers get extracted more reliably
• •Use exact question phrasing from tools like AlsoAsked.com or People Also Ask boxes
• •Add FAQ schema markup wrapping each question-answer pair
• •Add a FAQ section to every major product/service page, not just a standalone FAQ page
• •Update FAQ pages quarterly — freshness signals matter for RAG systems

03. Create Comparison Content

Impact: Very High · Effort: Medium · Time to result: 3–6 weeks

“[Brand] vs [Competitor]” queries are among the highest-intent searches in any category. AI models consistently cite comparison content when answering these queries — and the brand that creates the comparison usually frames the narrative.

When someone asks ChatGPT “HubSpot vs Salesforce for small business,” it pulls from comparison pages. If HubSpot has a “HubSpot vs Salesforce” page and Salesforce doesn't, HubSpot's framing wins. The same dynamic applies in every category.

How to implement:

• •Identify your top 5 competitors — create a dedicated page for each head-to-head comparison
• •Use the URL pattern /compare/[your-brand]-vs-[competitor]
• •Be honest about tradeoffs — AI models (and users) distrust pure puff pieces
• •Include a comparison table with specific features, pricing, and use cases
• •Create a 'Top 5 alternatives to [Competitor]' page where you rank #1 on your own criteria
• •Add FAQSchema markup to the comparison page

04. Earn Authoritative Backlinks

Impact: High · Effort: High · Time to result: 4–12 weeks

For Perplexity and ChatGPT web search, domain authority still matters — they pull from high-authority sources first. A backlink from TechCrunch, Forbes, or a niche-specific publication signals trustworthiness to RAG retrieval systems.

The link equity overlap between traditional SEO and AEO is real but imperfect. Links from sources that AI models treat as authoritative (Wikipedia, major publications, industry databases) carry disproportionate weight compared to generic link farms.

How to implement:

• •Prioritize getting listed on industry comparison sites: G2, Capterra, TrustRadius, Product Hunt
• •Pitch original data studies to publications — journalists cite original research
• •Contribute guest posts to publications with DA 60+ in your niche
• •Get your Crunchbase and LinkedIn company pages fully completed
• •Pursue HARO/Qwoted opportunities to earn press mentions with links
• •Build Wikipedia citations where genuinely notable — Wikipedia is heavily weighted in AI training data

05. Build Your Brand Entity

Impact: Very High · Effort: Medium · Time to result: 4–8 weeks

AI models don't just know brand names — they build entity graphs. A brand entity is the cluster of facts the model associates with your company: what you do, who you serve, where you're based, who founded it. Richer entities surface more reliably.

Entity consistency matters as much as entity richness. If your company is described as “a project management tool” on your homepage, “a team collaboration platform” on Crunchbase, and “a productivity app” on Product Hunt, AI models get confused and surface you less reliably.

How to implement:

• •Write a single canonical description of your company (1 sentence, 1 paragraph, 3 paragraphs) — use the same language everywhere
• •Complete all profiles: LinkedIn, Crunchbase, AngelList, G2, Capterra, Wikipedia if eligible
• •Use identical company name format across all platforms — no 'Inc.' on some, none on others
• •Add sameAs links in your Organization schema pointing to all authoritative profiles
• •Create an About page with founding story, team, mission, and key facts
• •Publish an 'llms.txt' file at your domain root with structured company facts for AI crawlers

06. Consistent NAP for Local Brands

Impact: High (local) · Effort: Low · Time to result: 2–6 weeks

NAP (Name, Address, Phone) consistency is foundational for local business AI visibility. When someone asks “best dentist near me” or “top pizza in Denver,” AI models cross-reference local data sources. Conflicting NAP data creates uncertainty, and AI models resolve uncertainty by omitting the brand.

How to implement:

• •Audit your NAP across Google Business Profile, Yelp, Apple Maps, Bing Places, and all directories
• •Pick one exact format for your address and phone — don't abbreviate 'Street' on some and spell it out on others
• •Use LocalBusiness schema on your website with consistent NAP data
• •Claim and complete profiles on Yelp, TripAdvisor, Foursquare, and niche directories
• •Update all listings simultaneously when you move or change numbers
• •Add neighborhood and city mentions naturally throughout your website content

07. Publish Data-Driven Content

Impact: Very High · Effort: High · Time to result: 6–12 weeks

AI models love to cite statistics. When you own original data, you become the cited source. A single well-promoted survey or benchmark report can generate hundreds of AI citations — every time a user asks a question your data answers.

Consider how Hubspot's State of Marketing report, Salesforce's State of Sales, or Stripe's developer surveys get referenced constantly. Those aren't accidents — they're deliberate citation-generation engines.

How to implement:

• •Survey 200+ customers or industry practitioners annually — publish results as a benchmark report
• •Extract proprietary data from your product (anonymized) and publish benchmarks
• •Format statistics as standalone callouts: '67% of marketers report...' — these get extracted directly
• •Promote data studies to journalists who cover your sector
• •Update annual reports each year — stale data stops getting cited
• •Add DataSet or Dataset schema markup to data pages

08. Add Expert Quotes and Attributed Insights

Impact: Medium · Effort: Low · Time to result: 2–4 weeks

Content with named expert attribution scores higher on E-E-A-T signals, which correlates with higher AI citation rates. AI models are trained to prefer expert-sourced claims over anonymous assertions.

This isn't about padding articles with random quotes. It's about making your content the type of authoritative source that AI models trust and cite — the same way academic papers cite other papers.

How to implement:

• •Add author bios with credentials to every blog post — include LinkedIn profiles and relevant experience
• •Interview 2–3 industry practitioners for major content pieces and quote them by name and title
• •Add a 'Expert Review' section noting who reviewed the content for accuracy
• •Create author pages with structured markup for each expert contributor
• •Include specific, attributed statistics rather than vague claims ('According to Gartner...' not 'Studies show...')

09. Maintain Detailed Product Documentation

Impact: High (especially for technical products) · Effort: Medium · Time to result: 3–6 weeks

Technical buyers ask AI models highly specific questions: “Does [tool] have a Zapier integration?” “What's [product]'s API rate limit?” If your docs don't answer these questions clearly, a competitor's docs will.

Developer documentation, integration pages, and API references are underrated AEO assets. They're authoritative, specific, and answer the exact questions technical users ask AI. Brands like Stripe and Twilio dominate AI responses for developer queries partly because their docs are comprehensive and clearly structured.

How to implement:

• •Create a dedicated integrations page listing every tool your product connects with
• •Document pricing tiers with exact feature breakdowns — AI cites pricing pages frequently
• •Maintain public-facing API documentation with clear endpoint descriptions
• •Create use-case pages: '/for-agencies', '/for-startups', '/for-enterprise'
• •Add TechArticle schema to documentation pages
• •Keep docs updated — outdated documentation is worse than no documentation for AI citations

10. Monitor and Iterate with the Right Tools

Impact: Foundational · Effort: Low · Time to result: Immediate

You can't improve what you don't measure. AEO optimization without monitoring is guesswork — you won't know which tactics are working, which queries you're winning, or where competitors are gaining ground.

Traditional SEO tools don't track AI visibility. You need a dedicated platform. Surfaced tracks your brand across 13 AI models — ChatGPT, Perplexity, Gemini, Claude, and more — and shows you mentions, citations, sentiment, and AEO score trends over time. When you deploy a new FAQ page or comparison piece, you'll see the citation rate change within weeks.

What to monitor weekly:

• •Overall AEO score trend — is it moving up week-over-week?
• •Mention rate for your 10 most important queries
• •Competitor share of voice — are they gaining while you're flat?
• •Sentiment changes — a new negative narrative needs immediate response
• •Which AI models cite you vs. which don't — platform-specific gaps need platform-specific fixes
• •New queries where you're getting mentioned that you didn't target

Prioritizing the 10 Tactics

Don't try to run all 10 simultaneously. The fastest path to AEO score improvement follows this sequence:

Brands that follow this sequence consistently see AEO score improvements of 20–35 points within 90 days. The compounding effect kicks in around month 3 — each tactic reinforces the others.

Frequently Asked Questions