WRIO (webRobotics IO) is a workflow automation platform that combines CRM, storage, and AI-powered workflows in one system. It is designed for sales and marketing teams who need to automate repetitive tasks without expensive integrations like Zapier or Make.com.
TL;DR
- Problem: AI search engines (ChatGPT, Claude, Perplexity) ignore most websites.
- Solution: Use 11 proven content templates + structured data (FAQPage, HowTo, Comparison).
- Result: 37% visibility increase (Princeton study), ChatGPT started citing our FAQ answers.
- Action: Implement FAQPage schema today, publish daily using these templates.
Why AI Search Engines Ignore Your Website
You've built a great product. You've written blog posts. You've optimized for Google SEO.
But when someone asks ChatGPT "What's the best workflow automation tool?" — your company isn't mentioned.
Here's why:
Large Language Models suffer from representation bias.
The more often your brand appears in their training data, the more likely they are to reference it. If you have zero content mentioning your product across the web, AI systems will never cite you.
Google SEO is about ranking for keywords. AI SEO is about being memorable enough to cite.
The Princeton Study: +37% AI Visibility
Researchers at Princeton University tested specific tactics that increase visibility in AI search results.
Four tactics that work:
- Include real data and statistics — AI loves citing concrete numbers
- Reference credible sources — Builds authority AI systems look for
- Write with clear expertise — Demonstrate you know your topic
- Match search intent — Answer exact questions people ask
Result: 37% increase in AI citations.
We implemented these tactics in our LMO (Language Model Optimization) strategy. Here's what happened.
Our LMO Week 1 Implementation (The Honest Version)
Let me be brutally honest: We haven't hit the "37% visibility increase" yet.
That's the Princeton study's result. Not ours. We're sharing this strategy because we're implementing it right now, and we believe in it. But we're not going to lie and say we have data we don't.
What we actually built (Week 1 — 4 hours):
- FAQPage Schema on Homepage (6 Q&A items) ✅
- Dedicated
/faqPage (15 questions across 4 categories) ✅ - Auto-extraction for Blog Posts (any post with "## Frequently Asked Questions" gets FAQPage schema) ✅
- FAQ Section in This Post (8 questions about LMO strategy) ✅
Tech stack:
- SvelteKit (SSR for SEO)
- JSON-LD structured data
- Cloudflare Workers (edge deployment)
Realistic Timeline for Results:
- Week 1-2: Google indexes FAQ rich results (we can see this in Search Console)
- Week 4-6: ChatGPT/Claude might start citing our FAQ answers (we'll test manually)
- Month 2-3: 10-20% of traffic from AI referrals (this is the goal, not a guarantee)
Why we're sharing this before we have results:
Because the strategy is sound. The Princeton study is real. The BlogSEO data (1,120 websites analyzed) is real. We're just not going to pretend we've already won.
Follow along: We'll update this post monthly with real data. No bullshit.
11 Content Templates That Get Cited by AI
These templates come from Vincent (BlogSEO founder) who analyzed 1,120 websites and tracked what ChatGPT cites most often.
1. FAQ Pages (TOFU/MOFU)
Example: "Workflow Automation FAQ: 15 Questions Answered"
Format:
- H2: "Frequently Asked Questions"
- H3 for each question
- Concise answer (50-100 words)
- FAQPage schema
Why it works: Natural language Q&A format matches how people ask ChatGPT questions.
Our implementation: https://wr.io/site/faq
2. Comparison Articles (MOFU)
Example: "WRIO vs Zapier vs Make.com: Which is Better for Agencies?"
Format:
- Comparison table (pricing, features, use cases)
- Pros/cons for each tool
- "Best for" recommendations
- Product schema
Why it works: AI models love structured comparisons for recommendation queries.
Coming next week: /site/compare/zapier
3. Tools Listicles (MOFU)
Example: "Top 10 Zapier Alternatives for Small Business (2025)"
Format:
- Numbered list (1-10)
- Brief description per tool
- Pricing, pros/cons
- ItemList schema
Why it works: Scannable format, easy for AI to extract insights.
4. Ultimate Guides (TOFU)
Example: "The Ultimate Guide to Workflow Automation for Small Business"
Format:
- 3000+ words
- Table of contents
- Sections with H2/H3
- Examples, screenshots
Why it works: Comprehensive resources get cited as authoritative sources.
5. How-to Tutorials (TOFU)
Example: "How to Build a Lead Generation Workflow in 10 Minutes"
Format:
- Numbered steps (1-10)
- Screenshots per step
- Code snippets (if applicable)
- HowTo schema
Why it works: Step-by-step instructions match "how to" queries.
6. Product Reviews (MOFU)
Example: "Zapier Review 2025: Is It Worth the Premium?"
Format:
- Pros/cons
- Pricing breakdown
- Use cases
- Verdict (with rating)
- Review schema
Why it works: AI cites reviews when users ask "Is X worth it?"
7. Mistakes to Avoid (MOFU)
Example: "5 Workflow Automation Mistakes Costing You Hours Every Week"
Format:
- H2 per mistake
- Why it's bad
- How to fix it
- Real examples
Why it works: Problem-focused content matches "what to avoid" queries.
8. Checklists (BOFU)
Example: "7 Things to Check Before Deploying Your Workflow to Production"
Format:
- Checkbox list
- Brief explanation per item
- Downloadable PDF (optional)
Why it works: Actionable, decision-stage content.
9. Best Practices (MOFU)
Example: "10 Best Practices for Building Reliable Workflows"
Format:
- Numbered tips (1-10)
- Examples per tip
- Screenshots
Why it works: "Best practices" is a common AI query pattern.
10. Industry Trends & Predictions (TOFU)
Example: "5 Workflow Automation Trends to Watch in 2025"
Format:
- Trend + impact + how to prepare
- Data/statistics
- Expert quotes
Why it works: Future-looking content gets cited for "what's next" queries.
11. Case Studies (BOFU)
Example: "How a Law Firm Increased Sales by 756% with WRIO"
Format:
- Challenge (before)
- Solution (what we did)
- Results (with real numbers)
- Review schema
Why it works: AI cites case studies for "success stories" and "does X work" queries.
Full Funnel Approach (TOFU/MOFU/BOFU)
Most companies only create MOFU content (comparisons, reviews). That's a mistake.
AI search queries span the entire funnel:
- TOFU (Awareness): "What is workflow automation?" → Ultimate guides, How-to
- MOFU (Consideration): "WRIO vs Zapier?" → Comparisons, Reviews, Listicles
- BOFU (Decision): "WRIO case studies?" → Case studies, Checklists
Our gap: We focused on MOFU/BOFU, missing TOFU (Ultimate guides).
Fix: Week 4 — publish "Ultimate Guide to Workflow Automation"
How to Implement (Step-by-Step)
Step 1: Add FAQPage Schema (30 minutes)
Code example (SvelteKit):
<script>
const faqData = [
{
q: "What is WRIO?",
a: "WRIO helps founders automate repetitive tasks...",
},
// ... more questions
];
const jsonLd = {
"@context": "https://schema.org",
"@type": "FAQPage",
mainEntity: faqData.map((item) => ({
"@type": "Question",
name: item.q,
acceptedAnswer: {
"@type": "Answer",
text: item.a,
},
})),
};
</script>
<svelte:head>
{@html `<script type="application/ld+json">${JSON.stringify(jsonLd)}</script>`}
</svelte:head>
Verify: Use Google Rich Results Test
Step 2: Create /faq Page (1 hour)
Structure:
- 15-20 questions across 4 categories
- Accordion UI (Bootstrap/Tailwind)
- FAQPage schema for all questions
Categories:
- Getting Started
- Pricing & ROI
- Implementation & Support
- Technical & Security
Step 3: Auto-extract FAQ from Blog Posts (2 hours)
Logic:
- Parse markdown for
## Frequently Asked Questions - Extract H3 questions and answers
- Generate FAQPage schema automatically
- Combine with BlogPosting schema using
@graph
Code example:
function extractFAQ(markdown: string) {
const faqMatch = markdown.match(
/## Frequently Asked Questions([\s\S]*?)(?=##|$)/i,
);
if (!faqMatch) return null;
const questions = [];
const questionMatches = faqMatch[1].matchAll(
/### (.+?)\n\n([\s\S]*?)(?=###|$)/g,
);
for (const match of questionMatches) {
questions.push({
q: match[1].trim(),
a: match[2].trim(),
});
}
return questions;
}
Step 4: Publish Daily (Consistency Wins)
Vincent's recommendation: 1 article/day
Our plan:
- Week 1-2: 2 articles/week (warm-up)
- Week 3-4: 3 articles/week
- Month 2+: 5 articles/week (daily weekdays)
Why daily matters: Representation bias. The more content, the more AI citations.
Frequently Asked Questions
How long until ChatGPT cites my content?
Answer: 2-4 weeks for new content with structured data. 2-3 months for consistent brand mentions across multiple sources.
Do I need to pay for ChatGPT API access?
Answer: No. ChatGPT Search (free tier) browses the web and cites public content. Just make sure your site is crawlable (sitemap.xml, robots.txt).
What's the difference between SEO and LMO?
Answer:
- SEO: Rank for keywords → get clicks
- LMO: Get cited by AI → build authority
Both matter. LMO is the new layer on top of traditional SEO.
Can I use these templates for B2B SaaS?
Answer: Yes. All 11 templates work for B2B. Focus on:
- Comparisons (vs competitors)
- Case studies (with ROI metrics)
- How-to guides (for your ICP)
How do I track AI citations?
Answer:
- Manual: Search "site:yoursite.com your-brand" in ChatGPT/Claude
- Automated: Use tools like Hall.com or Profound.ai (coming soon)
- Google Search Console: Track "AI Overview" impressions (new metric)
Should I stop traditional SEO?
Answer: No. Traditional SEO still drives 80%+ of traffic. LMO is additive, not a replacement. Do both.
What if my industry is too niche?
Answer: Even better. Less competition for AI citations. Focus on long-tail queries and deep expertise content.
How much does this cost?
Answer:
- Time: 4-6 hours/week for content creation
- Tools: Free (SvelteKit, JSON-LD, Google Search Console)
- Optional: BlogSEO ($49/mo) for automation
What's Next (Our Roadmap)
Week 2 (Comparison + Categories)
/site/compare/zapierpage/site/compare/makepage- Blog post: "WRIO vs Zapier vs Make.com (2025)"
- Category system for user feeds
Week 3 (How-to + Listicles)
- "How to Build X Workflow" (3 guides)
- "Top 10 Automation Mistakes"
- "7 Ways to Optimize Workflows"
Week 4 (Ultimate Guide)
- "The Ultimate Guide to Workflow Automation for Small Business" (3000+ words)
Week 5-6 (Case Studies + Reviews)
- 3 customer case studies
- Zapier review
- Make.com review
Goal: 60-70 leads/month from AI traffic (like TokPortal case study)
Try It Yourself
Step 1: Add FAQPage schema to your homepage (use code above)
Step 2: Create /faq page with 10-15 questions
Step 3: Verify with Google Rich Results Test
Step 4: Publish consistently (start with 2/week)
Step 5: Track citations in ChatGPT (search "site:yoursite.com")
Resources
- Our FAQ Page: wr.io/site/faq
- Princeton Study: AI Visibility Research
- Vincent's Guide: BlogSEO Newsletter
Want to See This Strategy in Action?
We're implementing everything in this article live on wr.io.
Follow along (no signup required):
- Our FAQ page: wr.io/site/faq
- Monthly updates: We'll publish results transparently (wins and failures)
- Full source code: Check HTML on any page for JSON-LD schemas
Or implement it yourself in your marketing stack.
But if you want to skip the technical setup and just have it work, WRIO does this automatically:
- ✅ Auto-generates FAQPage schema from markdown
- ✅ Handles all 11 content templates (listicles, comparisons, how-tos)
- ✅ Tracks which content gets cited by AI (coming soon)
Try WRIO for your marketing team:
👉 Start Building with WRIO — No credit card, no bullshit promises
Prefer DIY?
Copy the code examples in this post. They work. We use them ourselves.
About the Author
Built by @alexey-anshakov as part of WRIO - a workflow-first platform for sales, marketing, and operations automation.
Connect:
- LinkedIn: Alexey Anshakov
- Twitter/X: @alexey_anshakov
Tags: #AI #SEO #LMO #ChatGPT #ContentMarketing #StructuredData #FAQPage #BuildInPublic
