GEO Checklist 2026: 30 Concrete Actions to Get AIs to Cite Your Brand

Most articles about GEO (Generative Engine Optimization) explain the "what" and the "why." This article is different: it is the "how," providing specific actions, ordered by priority, based on what impacts results the fastest and across which engines.

We built this list from two sources: the technical principles documented in GEO research (Princeton, BrightEdge, Anthropic) and real-world data from hundreds of projects monitored on GEO Metrics within the Spanish-speaking market during 2026.

One data point illustrates the urgency: for the prompt "What software should I use to measure brand presence in AI search engines?"—one of the highest purchase-intent prompts in the sector—Semrush appears with 55 citations and SE Ranking with 59. Most specialized GEO platforms, including the most recognized ones in the market, do not appear for that prompt on ChatGPT, Claude, Gemini, or Perplexity. The gap between being on Google and being in AI models is real and measurable.

This checklist exists to close it.

Block 1: Technical Accessibility

(Days 0–30) — Highest Priority, Immediate Impact

Before optimizing content or building authority, you must ensure that AI bots can read your site. If they can’t crawl it, everything else is irrelevant.

1. Audit your robots.txt for AI bots: Verify that your domain's robots.txt file is not blocking AI crawlers. The main ones you must allow are: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended, CCBot, and Cohere-AI. Accidental blocking is the most common cause of total AI invisibility.

   
   

2. Verify that AI bots are visiting your site: Check your server logs from the last month and filter by AI user agents. If you don't see visits from GPTBot or PerplexityBot on a site with reasonable traffic, there is a technical hurdle to clear.

   
   

3. Migrate critical content to Server-Side Rendering (SSR): AI bots do not execute JavaScript as effectively as Googlebot. If your key content (pricing, features, comparisons) loads via client-side JavaScript (CSR), it is invisible to most AI crawlers. Use SSR or SSG (Static Site Generation) for strategic pages.

   
   

4. Implement Schema.org Organization: This explicitly tells AIs who your company is, what it does, and links your digital properties.

   • Minimum fields: name, url, logo, description, sameAs (LinkedIn, Wikipedia, social media), contactPoint, and foundingDate.

     
     

5. Implement Schema.org FAQPage on key pages: AIs have a strong bias toward the Q&A format. FAQPage schema signals to models that the page contains direct answers to specific queries, increasing extraction probability.

   
   

6. Create an /llms.txt file: This is the robots.txt equivalent for AI agents. It’s a text file in the root directory that tells LLMs which parts of your site contain the most relevant information and how it’s organized.

   
   

7. Verify loading speed for AI bots: AI crawlers operate with more aggressive timeouts than Googlebot. Ensure your TTFB (Time to First Byte) for strategic pages is under 1.5 seconds.

   
   

8. Configure Google Analytics to measure AI traffic: Create segments in GA4 to identify referral visits from chatgpt.com, perplexity.ai, claude.ai, bing.com (Copilot), and other AI engines.

Block 2: Content Optimization

(Days 31–60) — Impact in 4 to 8 Weeks

With the technical foundation resolved, content is the lever with the greatest impact on Share of Model. It’s not about creating more content; it’s about restructuring it for RAG (Retrieval-Augmented Generation) systems.

9. Audit key pages with "AI eyes": Does the page answer a specific question? Does it have a direct answer at the start of each section? Does it contain at least one numerical data point or proper noun per paragraph?

   
   

10. Apply the Inverted Pyramid to all sections: Every H2 and H3 should start with a direct answer before developing the explanation. RAG systems extract the first paragraph of a section much more frequently than the rest.

    
    

11. Insert comparison tables in strategic articles: HTML tables are the format with the highest extraction rate by LLMs. Tables should contain verifiable numerical data or categories, not vague adjectives.

    
    

12. Aim for 6 "Answer Nuggets" per 1,000 words: An Answer Nugget is a self-contained unit of information. RAG systems extract chunks of 200–400 words. Modular content makes extraction easier.

    
    

13. Remove promotional language: Claude, Perplexity, and other models with factuality filters penalize content with unsupported adjectives ("the best," "undisputed leader"). Use an objective, journalistic tone.

    
    

14. Create specific competitor comparison pages: Pages like "GEO Metrics vs. Semrush" are cited frequently when users ask for recommendations. Honesty is key: models detect biased content. Acknowledging competitor strengths increases your own citation probability.

    
    

15. Update statistics with explicit dates: Real-time web models (Perplexity, ChatGPT Search) prioritize fresh data. Always include a reference date (e.g., "according to 2026 data").

    
    

16. Sign content with verifiable experts: Models consider E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). Content signed by an expert with a verifiable digital history has a higher citation rate.

    
    

17. Develop content with proprietary data: Original studies, benchmarks, and surveys maximize Information Gain. This is the most effective way to ensure models cite you as the primary source.

Block 3: Authority and Distribution

(Days 61–90) — Building Semantic Gravity

Authority in GEO isn't built with backlinks; it’s built with presence in the sources AIs consult to validate information.

18. Map the sources AIs use in your category: Identify which domains are cited when AIs answer prompts in your niche. You must establish a presence there.

    
    

19. Build a genuine presence on Reddit: Reddit is often the most cited domain for subjective queries. Models use it as a "witness of truth." Avoid spam; engage genuinely in relevant subreddits for weeks before mentioning your brand.

    
    

20. Publish YouTube videos with full transcripts: YouTube is typically the second most cited domain. LLMs use transcripts as information sources. Without an edited transcript, your video is invisible to the AI's "memory."

    
    

21. Get mentions in reference media: A mention in major outlets (like El País or industry leaders like HubSpot) carries immense weight. Many LLMs have direct licensing agreements with these publishers.

    
    

22. Verify and update your Wikipedia and Wikidata entries: Wikipedia is the backbone of "truth" for most LLMs. If you don't meet Wikipedia's notoriety criteria, at least ensure your Wikidata is correct—anyone can edit it.

    
    

23. Build co-citation with category leaders: Being mentioned in the same paragraph or list as industry leaders teaches the model that your brand belongs to that semantic category.

    
    

24. Actively participate on LinkedIn with technical content: Technical content published by experts on LinkedIn carries specific weight in B2B models, especially Claude and Perplexity.

    
    

25. Establish data consistency across all platforms: AIs cross-reference sources. Ensure your company name, description, and founding date are identical on LinkedIn, your website, Crunchbase, and Google Business.

Block 4: Measurement and Continuous Maintenance

(Post-Day 90 — Monthly)

26. Configure strategic prompts in your GEO tool: These should be conversational questions with purchase intent (e.g., "Best tool for X"), not just SEO keywords.

    
    

27. Measure Share of Model weekly for the first 3 months: Correlate your technical and content actions with results to adjust your strategy in real-time.

    
    

28. Set up "Accuracy Prompts" to detect hallucinations: Measure if AIs are communicating your pricing or features correctly. An accuracy rate below 80% requires immediate corrective content across high-authority sources.

    
    

29. Analyze "Top Cited Domains" per prompt monthly: Understand which domains are beating you in the AI space—they are often different from your traditional SEO competitors.

    
    

30. Update strategic content every 60 days: Real-time models prioritize freshness. Even small updates to statistics or dates signal to the model that your content is current.

Executive Summary: Where to Start

If you need to prioritize by impact and speed, follow this order:

• Week 1 (Impact in days): Actions 1, 2, 4, 5 — Basic technical accessibility.

• Weeks 2–4 (Impact in 2–4 weeks): Actions 9, 10, 11, 13, 26 — Key content rewriting and measurement setup.

• Month 2 (Impact in 4–8 weeks): Actions 12, 14, 15, 17, 27 — Content density and monitoring.

• Month 3+ (Impact in 8–12 weeks): Actions 18–25, 28, 29, 30 — External authority and maintenance.

GEO is not a sprint; it is a continuous discipline. Brands that systematically build Share of Model today will have a structural advantage that latecomers will find nearly impossible to overcome.

Do you know where you stand? Before taking action, measure your current Share of Model. GEO Metrics provides a diagnosis across 9 AI engines. [Start here →]

Written by the GEO Metrics team — the leading platform for monitoring and optimizing visibility in AI answer engines for the Spanish-speaking market. Data cited corresponds to proprietary measurements from April 2026.