Generative Engine Optimization (GEO) checklist

TL;DR

LLMs aren’t going away. They’re a new, important way to drive awareness and traffic. They change the way people search and use information across the internet. At Rankshift, we’ve been leading this change — testing, studying, and improving strategies that help content show up in AI-generated answers.

We believe that sharing knowledge makes it stronger. That’s why we’ve put together this full GEO checklist: a hands-on guide packed with GEO strategies to help marketers, content creators, and SEO experts get ready for the future of search.

Whether you’re just starting with generative engine optimization or trying to sharpen your current approach, this GEO checklist covers it all — from making your site easy to crawl and using structured data, to boosting your entity strength, increasing brand mentions, and writing content that works well with large language models (LLMs).

Tracking set-up

A good tracking setup is critical for GEO (Generative Engine Optimization) because it enables brands and marketers to understand if, when, and how their content is being surfaced in generative AI responses.

This is what you should do:

• Set up Google Analytics 4 to track which LLMs generate the most traffic.
• Set up conversions to identify which LLMs convert best.
• Set up AI visibility tracking to monitor your brand’s visibility in AI-generated responses. Consider using a tool like Rankshift.
• Implement feedback mechanisms (e.g., customer surveys) to gain insights into channels through which consumers discover your company, products, or services.

Here’s why GEO tracking is important:

1. GEO Visibility ≠ Traditional Rankings

Unlike SEO, where visibility is linked to rank positions in SERPs, GEO visibility is about presence in generated answers, often via inline citations, quotations, or paraphrased mentions across varying positions and styles in the response. Without tracking, you’re flying blind.

✅ Good to know: Studies show that GEO methods can boost visibility in generative answers by up to 40%, but only with specific content enhancements like citations, statistics, and structured formatting.

2. No public metrics like impressions or clicks

Generative engines don’t provide performance data like Google Search Console or Bing Webmaster Tools do. This makes external visibility tracking tools or frameworks essential to gauge brand presence in AI answers.

3. Competitor intelligence & share of voice

GEO tracking allows brands to monitor share of voice across AI-generated responses and benchmark against competitors — a critical layer for brand strategy and reputation monitoring.

Entity audit

An entity audit is definitely important for Generative Engine Optimization (GEO), because entities — not just keywords — are the primary building blocks of how generative AI models understand and organize information. In traditional SEO, you optimize for keywords. In GEO, you optimize for entities: people, products, brands, places, events, etc.

This is what you should do:

• Audit your brand entities to understand how they’re perceived by LLMs.
• Utilize Google’s Natural Language API or Inlinks’ Entity Analyzer for auditing.
• Check whether your brand is mentioned at all in response to relevant prompts and questions.
• Understand how your brand is described — is the sentiment positive, neutral, or negative?
• Analyze the context in which your brand appears, e.g., are you mentioned as a market leader, a budget-friendly option, or an innovative disruptor?
• Identify which competitors are mentioned when your brand is not, and evaluate how they are framed.

Here’s why an entity audit is important:

1. LLMs rely on entity understanding, not just text

Generative engines like ChatGPT, Perplexity, and Gemini don’t index pages like Google. Instead, they synthesize responses based on entities and relationships they’ve learned or retrieved from the web.

✅ Good to know: If your brand isn’t a well-structured entity, it might be ignored, misrepresented, or replaced in generated answers.

2. Entities are core to inclusion in LLM responses

An entity with strong signals (mentions, reviews, structured data, backlinks, contextual content) is more likely to be referenced or cited in AI-generated answers.

📈 First Page Sage found that “authoritative list mentions” and “entity strength” are key factors in LLM product recommendations — as much as 40–60% weighting in some engines.

3. They improve content interpretation and citation accuracy

Generative models prefer content that clearly ties back to trusted entities. If your content is vague or your brand isn’t clearly associated with your domain expertise, LLMs may cite a competitor instead.

✅ A strong entity profile = increased chance of being selected, quoted, or linked in generative summaries.

What to include in an entity audit?

Crawling and indexing

Crawling and indexing aren’t just technical hygiene in GEO — they’re a prerequisite for LLM visibility. If AI models can’t find, understand, or trust your content, it won’t be mentioned, summarized, or appear in the search results. Visibility starts with being accessible to AI.

This is what you should do:

• Ensure indexing and crawling by LLM bots is possible.
• Create an LLMS.txt file.
• Ensure Google Search Console and Bing Webmaster Tools are properly set up and configured.

Here’s why crawling and indexing is important:

1. Crawling enables generative engines to discover your content

Generative engines (like ChatGPT Search, Perplexity, or Google’s AI Overviews) rely on search indexers and crawlers to find and retrieve content that can later be synthesized into answers.

❌ If your content isn’t crawlable, it’s invisible to these systems — it won’t be included, cited, or summarized in generative responses.

Examples of barriers to crawling:

• Blocked user agents (e.g. robots.txt disallows GPTBot or CCbot)
• Firewall or bot protection blocking AI crawlers
• Heavy reliance on JavaScript for rendering critical content
• Inconsistent or broken canonical URLs

2. Indexing = being able to appear in answers

Once crawled, your content must be indexed to be eligible for retrieval. If the page is excluded, canonicalized incorrectly, or considered low quality, it won’t surface in retrieval systems that fuel generative models.

Generative engines synthesize from indexed content during RAG (retrieval-augmented generation) or fine-tuning — if you’re not indexed, you’re not in the pool.

🧪 Tools like Perplexity or ChatGPT’s “web” mode depend heavily on high-quality indexed sources for citation.

Content writing

Content writing is one of the most strategic levers in Generative Engine Optimization (GEO). While SEO content writing focuses on satisfying search intent and keyword rankings, GEO content writing is about creating content that LLMs can understand, retrieve, summarize, and cite in natural language answers.

This is what you should do regarding keyword integration:

• Conduct keyword research (e.g., using Semrush or Ahrefs) to identify relevant keywords for your business.
• Find long-tail keyword variations. Try using “Google Suggests” auto-fill to discover longtail keyword variations in your niche.
• Keep an eye on LLM auto-complete functions to detect topics that might be popular within LLM responses.
• Integrate relevant keywords seamlessly and naturally into content.
• Avoid keyword stuffing that disrupts readability or natural flow.
• Make sure that the page still matches search intent.

This is what you should do regarding content writing:

• Rewrite content to improve fluency, clarity, and reader engagement.
• Ensure smooth, natural sentence flow.
• Use clear, simple, and accessible language.

This is what you should do regarding content structuring:

• Structure with clear headings: use H2s and H3s to highlight main ideas.
• Use bullet points or numbered steps to present info in bite-sized chunks.
• Aim for short paragraphs (2-4 sentences max) and sentences under 20 words to improve readability and parsing.
• Avoid dense text walls—space out your content to improve visual clarity and readability.

Citations and sources

Unlike SEO, where links and backlinks help with authority and rank signals, citations in GEO are about getting selected and credited in AI-generated answers.

This is what you should do:

• Integrate credible citations to build trust.
• Ensure citations are relevant and do not alter core content.
• Limit to 5-6 citations per source for natural readability.
• Include meaningful quotes from authoritative sources that clearly add value.
• Add unique, relevant, and persuasive statistics that reinforce your arguments without distorting the message.

Brand building

GEO visibility is heavily influenced by how strong and well-connected your brand entity is across the web. That’s why brand building is becoming increasingly important for businesses aiming to stay visible in AI-generated search results.

This is what you should do:

• Ensure your brand has an accurate and complete listing on Wikipedia.
• Set up campaigns for generating user content, particularly on platforms like Reddit and Quora. Ensure contributors are ready and aligned with your brand positioning.
• Invest in PR to associate your brand with the right topics. Make sure your PR agency is prepared for the LLM/AI search era.
• Target data hubs: Publish content on Medium, industry blogs, or websites your audience frequents—platforms that are regularly crawled by AI engines.
• Find sources (listicles, comparison articles,…) that mention you or your competitors to align your brand building efforts. Use a tool like Rankshift to spot opportunities.

Technical GEO

Technical GEO is the foundation for every website. It helps generative AI systems find and use your content, brand, and information. It makes sure your website can be explored, understood, and reached — not just by regular search engines, but also by today’s advanced AI models.

This is what you should do:

• Use Google PageSpeed Insights to keep load times under 3 seconds — compress images, minify CSS, and enable caching.
• Test your site on mobile devices to confirm it’s responsive — AI evaluates user experience across all platforms.
• Check for broken links or crawl issues with tools like Screaming Frog or Google Search Console.
• Make sure that critical information is rendered on the server side (server-side rendering). Major AI crawlers currently do not render JavaScript. They do retrieve JavaScript files, but do not actually execute the code.
• Using schema markup helps LLMs better understand and categorize key details about your brand, including its name, services, products, and reviews. Microsoft (Copilot) has confirmed it uses schema markup to help its LLMs (large language models) understand your content.

Pieter Verschueren

Pieter Verschueren is the co-founder of Rankshift AI and Depends SEO agency. He specializes in SEO and the emerging field of Generative Engine Optimization, where he helps brands understand and improve their visibility in AI-generated answers from tools like ChatGPT, Google Gemini, AI Overviews, AI Mode and Perplexity.