Somos completamente invisibles en la búsqueda de IA - ¿alguien realmente se ha recuperado de una visibilidad cero? Necesito una hoja de ruta de recuperación

I’ve helped 30+ companies recover from exactly this situation. Here’s the reality:

Why Google rankings don’t equal AI visibility:

You’ve been optimizing for the wrong signals.

The Recovery Roadmap:

Week 1-2: Foundation Audit

• Check AI crawler access (robots.txt, server logs)
• Audit entity consistency across platforms
• Set up baseline visibility tracking

Week 3-6: Technical & Content Fixes

• Fix any crawler access issues
• Restructure top 20 pages for AI readability
• Add schema markup
• Update entity info everywhere

Week 7-12: Authority Building

• Build web mentions on authority sites
• Create comparison/FAQ content
• Earn third-party validation

Month 4-6: Optimization

• Refine based on what’s working
• Scale successful patterns
• Continuous monitoring and adjustment

Realistic timeline: First visibility improvements in 4-6 weeks. Meaningful recovery in 3-4 months.

Before anything else, check your technical foundation:

Immediate audit items:

1. robots.txt - Check for:

   User-agent: GPTBot
   User-agent: PerplexityBot
   User-agent: ClaudeBot
   User-agent: anthropic-ai
   

   If they’re blocked, that’s your problem.

2. Server logs - Look for:

   • GPTBot, PerplexityBot, ClaudeBot visits
   • Any 403 or 500 errors for these bots
   • Which pages they’re crawling most

3. Page speed - AI crawlers favor fast sites

   • FCP under 0.4 seconds = 3x more likely to be cited
   • Check Core Web Vitals

4. Content accessibility

   • Is key content in tabs/accordions? (often not rendered)
   • Login walls blocking content?
   • PDFs instead of HTML?

5. Mobile rendering

   • AI crawlers often use mobile user agents
   • Is your mobile version complete?

We discovered: Our robots.txt was blocking AI crawlers from a directive added years ago. Removed it, visibility started improving within 2 weeks.

Don’t do content work if technical foundation is broken.

Entity consistency was our breakthrough.

Where to audit:

1. Wikidata - What does your entity show?
2. Crunchbase - Company profile accurate?
3. LinkedIn - Company page complete?
4. Google Business Profile - All info correct?
5. Wikipedia - If you have one, is it accurate?
6. Your website - Clear company description?

What must be consistent:

• Company name (exact same format everywhere)
• Company description (same core message)
• Founding date
• Founder/CEO names
• Headquarters location
• Website URL
• Key products/services

What we found:

• Wikidata: Old company name
• Crunchbase: Wrong founding date
• LinkedIn: Different company description
• Google Business: Wrong category

AI was essentially seeing 4 different companies.

Result of fixing: 4 weeks after standardizing everything, our AI visibility doubled. 8 weeks later, it had tripled.

Content structure for AI is different than for humans:

Before (narrative style): “In today’s evolving digital landscape, companies are increasingly finding that AI visibility has become a critical factor in their marketing success. When considering the various approaches to optimization…”

After (AI-friendly): “AI visibility measures how often your brand appears in AI-generated answers. The three key factors are: entity consistency, content structure, and web mentions.”

Key restructuring principles:

1. Answer-first paragraphs

   • Lead with the direct answer
   • Context comes after

2. Clear heading structure

   • Use question-based headings
   • One topic per section

3. Extractable content

   • Bullet points for lists
   • Tables for comparisons
   • Short paragraphs (2-4 sentences)

4. Explicit definitions

   • “AI visibility is [definition]”
   • “This means [explanation]”

5. Remove fluff

   • Cut marketing speak
   • Be direct and factual

Restructured our top 15 pages. AI citation rate improved 45% in 6 weeks.

Web mentions are the most underrated factor.

Why mentions matter more than links for AI:

• Links: 0.218 correlation with AI visibility
• Mentions: 0.664 correlation with AI visibility

You can have 10,000 backlinks and still be invisible if no one mentions your brand in contexts AI can understand.

High-impact mention sources:

1. Wikipedia - If notable, this is huge for AI training
2. Reddit - Heavily cited by AI systems
3. Industry publications - Category authority
4. Review sites (G2, Capterra) - Product-specific
5. News outlets - Recency signals

Our mention-building campaign:

• Weeks 1-4: Earned 8 mentions across industry sites
• Weeks 5-8: Active Reddit participation (authentic)
• Weeks 9-12: PR push for news coverage

Result: Zero mentions to 25+ high-quality mentions in 3 months. AI visibility: 5% to 35% in same period.

Mentions > Links for AI.

Recovery requires quick wins for momentum plus long-term building:

Week 1 Quick Wins:

• Fix robots.txt (if blocking AI) - immediate
• Update Wikidata - high impact, fast
• Update Crunchbase - fast
• Update LinkedIn company page - fast

Week 2-3 Quick Wins:

• Add FAQ schema to top pages
• Restructure homepage for AI
• Create one killer FAQ page

Month 2: Foundation Building

• Restructure top 20 pages
• Build comparison content
• Start mention-building outreach

Month 3-4: Authority Building

• Original research publication
• Guest posts on industry sites
• Reddit participation
• Review site presence

Month 5-6: Optimization

• Track what’s working
• Scale successful patterns
• Refine underperforming content

The quick wins show leadership that progress is possible. The long-term work builds sustainable visibility.

You cannot recover what you don’t measure.

Set up tracking before starting recovery:

1. Baseline visibility audit

   • Test 50+ prompts across ChatGPT, Perplexity, Claude, Google AI
   • Document: mentioned/not mentioned, position, context
   • Calculate visibility percentage

2. Weekly monitoring

   • Same prompts, track changes
   • Use Am I Cited or manual tracking

3. Source tracking

   • When mentioned, what sources are cited?
   • Which of your pages are getting citations?

4. Competitive tracking

   • Track competitor visibility too
   • Understand relative share of voice

Our tracking dashboard:

• Visibility score (% of prompts with mention)
• Position distribution (1st, 2nd, 3rd+ mention)
• Sentiment (positive, neutral, negative)
• Top cited pages
• Competitor comparison

This data drives decisions. We stopped doing things that weren’t improving visibility and doubled down on what worked.

Specific content formats that accelerate recovery:

FAQ Pages (highest impact)

• Direct question-answer format
• Matches how users query AI
• Easy for AI to extract
• Add FAQ schema for bonus points

Comparison Pages

• “[Topic] vs [Topic]” format
• Tables with clear data
• Explicit recommendations

How-To Guides

• Step-by-step structure
• Numbered lists
• Clear action items

Definition Pages

• “What is [Term]” format
• Direct definitions in first paragraph
• Examples and context after

Glossary/Terms Pages

• Comprehensive coverage
• Clear definitions
• Internal linking

What doesn’t help:

• Long narrative blog posts
• Marketing-speak content
• Vague thought leadership
• Content buried in PDFs

Focus on creating content in formats AI can easily parse and cite.

Agency perspective from helping 50+ companies with recovery:

Common recovery mistakes:

1. Impatience - Expecting results in 2 weeks

   • Reality: 6-12 weeks for meaningful improvement

2. Ignoring technical - Jumping to content

   • Reality: Technical issues block everything else

3. Copying competitors - Doing what they did

   • Reality: You need unique differentiation

4. Broad focus - Trying to rank for everything

   • Reality: Dominate niches first, then expand

5. One-time effort - “We fixed it, we’re done”

   • Reality: Ongoing optimization required

What successful recoveries have in common:

• Complete technical foundation
• Entity consistency obsession
• Answer-first content structure
• Active mention building
• Consistent monitoring and adjustment
• 3-6 month commitment

This isn’t a quick fix. It’s a new discipline alongside traditional SEO.

Managing expectations is important:

What we saw in our recovery:

Week 2: Fixed technical issues - no visible change yet Week 4: Updated entity info - slight improvement (5% to 8%) Week 6: Restructured 10 pages - noticeable improvement (8% to 15%) Week 8: Started mention building - continued improvement (15% to 22%) Week 12: First major milestone (22% to 35%) Month 5: Strong visibility (35% to 48%) Month 8: Approaching competitors (48% to 58%)

Key insight: Results compound. Early weeks feel slow. Months 3-6 show acceleration if you’ve built the foundation properly.

Don’t give up at week 4 when nothing seems to be changing. The work compounds.

This thread saved us from panic mode. Here’s our recovery plan:

Week 1: Technical Audit

• Check robots.txt for AI crawler blocking
• Review server logs for crawler activity
• Check page speed
• Set up Am I Cited baseline tracking

Week 2: Entity Fixes

• Audit Wikidata, Crunchbase, LinkedIn, Google Business
• Standardize all entity information
• Fix any inconsistencies

Week 3-4: Content Quick Wins

• Add FAQ schema to top 10 pages
• Restructure homepage and key product pages
• Create one comprehensive FAQ page

Month 2: Deeper Content Work

• Restructure top 20 pages for AI readability
• Create comparison content
• Build definition/glossary content

Month 3-4: Authority Building

• Launch mention-building campaign
• Industry publication outreach
• Reddit participation
• Review site optimization

Key insight I’m taking: Google rankings and AI visibility are different games. We’ve been playing the wrong game for AI. Time to learn the new rules.

Thank you all - this roadmap gives us a real path forward.