You rank on Google for your target keyword, and the traffic is growing from Google or Bing (Traditional SEO way). But when your ICP asks “What’s the best [your category] tool for my business?” in ChatGPT or Perplexity or Co-pilot, or Claude, your brand doesn’t exist.
This is a common need every SaaS company is figuring out. To make it happen, you need the Complete GEO/LLMO Visibility checklist that could gear up the citations and visibility in LLM searches.
More than a GEO checklist, this is your current organic pipeline checklist
Your buyers aren’t just Googling anymore. They’re asking ChatGPT, Perplexity, Claude, etc for recommendations, and if you’re not showing up in those AI-generated answers, you’re currently losing a lot of pipeline to your competitors.
That’s exactly why we built a step-by-step generative engine optimization checklist (with last 16-18 months of work experience for our SaaS clients) to make your brand visible across every AI search engine.
What is a GEO Checklist? Why Does Your Brand Need One?
The list of small actionable items across multiple attributes that contributes to the visibility of our brand in LLM search answers is called the GEO/LLMO Checklist. Generative engine optimization being the untapped pipeline attribution for every SaaS or FinTech company requires an expert-led checklist that has helped multiple businesses like you to be cited in LLM.
Now, why do you need a structured GEO implementation checklist instead of random optimization?
Here’s the thing. Each AI search engine retrieves and ranks content differently,
- ChatGPT Search is powered by Bing.
- Perplexity uses Google’s index.
- Google AI Overviews pull from Google’s own search index.
Each has unique retrieval patterns, and what works for one may not work for another.
According to research from The Digital Bloom’s 2025 AI Visibility Report, only 11% of domains are cited by both ChatGPT and Perplexity. That means if you’re only optimizing for one platform, you’re invisible on the others.
Without a structured Generative engine optimization (GEO) checklist, you just guess, and end up with a drop in the organic pipeline.
Complete GEO Checklist for MQLs from AI Traffic
After working with 50+ projects on GEO/AEO, AI traffic to a commercial page gets around 10-15% Conversion rate. So, your brand being cited in these LLMs is not just about the visibility, also more MQLs
Keeping the context, we’ve broken this GEO checklist into 8 actionable phases, each targeting a critical dimension of AI visibility
- Technical SEO Optimization – Is my website or web page accessible for AI bots? What is my website sentiment in the POV of AI search engines?
- Content Optimization – Is your content AI readable or crawlables? Does it understand the intent of the web page? Is the content structure AI-friendly?
- Brand & Entity Authority – How does AI perceive your brand? Does the external sites share the same details about your brand?
- Platform-Specific Optimization – Are your brand is visible in all LLMs (ChatGPT,Perplexity, AI Overview, Claude, etc,.) or in just one LLM
- Review & Social Proof Ecosystem – What is your brand’s reputation and sentiment from third party websites? Do you have the trust signals AI looks for?
- YouTube & Video Strategy – Are you having a healthy presence in UGC Video contents strategy, as LLMs like ChatGPT cite from YouTube .
- Community & Off-Site Signals – Is your brand is cited or mentioned in multiple reddit or quora or sub-stack threads? Are you building a Reddit content strategy
- Monitoring & Measurement – Are you tracking what actually matters— Organic SAL (Sales Accepted Leads), influenced Pipeline and Revenue.
Each phase includes specific checklist items you can hand directly to your marketing and dev teams. Let’s break each one down.
1. Technical SEO Checklist for GEO
In simple terms, “Can AI Crawlers Access Your Content?”
This is the most underrated, yet an important phase in any GEO implementation checklist and it’s the one that can complete the bottleneck for the AI traffic growth.
According to Powered by Search’s audit of 50 enterprise SaaS websites, 68% were inadvertently blocking at least one major AI crawler. Think about that — nearly 7 out of 10 SaaS companies had the door shut on AI bots without even knowing it.
If AI crawlers can’t access your content, nothing else in this checklist matters. Let’s fix that first.
1.1. Robots.txt & AI Crawler Access
Your robots.txt file is your first line of control. Here’s the checklist:
- Audit your robots.txt to ensure AI crawlers are NOT blocked.
- Allow GPTBot (OpenAI model training).
- Allow OAI-SearchBot (ChatGPT Search — this is a different bot from GPTBot).
- Allow PerplexityBot.
- Allow Google-Extended (Gemini)
- Allow ClaudeBot (Anthropic)
- Allow Applebot-Extended (Apple Intelligence)
- Allow Bingbot (powers ChatGPT Search and Copilot)
- Whitelist AI crawler user-agents in your WAF (Web Application Firewall).
- Check server log files every month for AI crawler signatures
Pro Tip: Here’s what most SaaS teams miss — OAI-SearchBot and GPTBot are two completely different crawlers from OpenAI. As detailed in Daydream’s analysis of OpenAI’s crawling infrastructure, GPTBot crawls content for model training, while OAI-SearchBot indexes content for ChatGPT’s real-time search features. Blocking GPTBot doesn’t block ChatGPT Search. And vice versa. Check both.
1.2. llms.txt File
The llms.txt file is a relatively new standard proposed by Jeremy Howard. Think of it as a Markdown “table of contents” for AI crawlers.
It tells them which pages to read first and how to describe your company. Here’s what you should optimize the llms.txt file
- Create llms.txt at your domain root (yoursite.com/llms.txt)
- Include a clear company description in Markdown format
- List your top 10–20 high-value pages
- Specify your preferred attribution format
- Link to your sitemap.xml and RSS feed
On a mixed review on whether to use llms.txt or not, OtterlyAI’s GEO experiment found that only 0.1% of AI crawler requests touched llms.txt over 90 days.
The file currently receives far fewer AI visits than the average content page. So while llms.txt is a forward-looking investment, don’t prioritize it over fundamentals like robots.txt, schema, and content quality.
1.3. Rendering & Performance
This is where many modern SaaS websites fail silently.
- Server-side render (SSR) all potential content that needs visibility in these AI search engines, as most AI crawlers do NOT execute JavaScript
- Test your key pages with JavaScript disabled
- Achieve TTFB (Time to First Byte) under 200ms. AI crawlers operating under tight latency constraints may abandon slow pages entirely
- Use a CDN with US edge servers (Cloudflare, Fastly, AWS CloudFront)
- Core Web Vitals all in “Good” range— especially in mobile
- Don’t hide critical content behind login walls, gated PDFs, or JS-only interactive elements
LLM bots will likely not crawl it, if JavaScript is found on the page. And if important content is hidden underneath JavaScript elements like dropdowns, it won’t be crawled even though it exists in HTML.
1.4. Structured Data (Schema Markup)
Schema markup helps AI systems understand your content’s context, and extract information accurately. Especially SoftwareApplication schema helps the LLMs to identify it’s a SaaS product.
A healthy header and sub-header can do this job of keeping your web pages visible for desired prompts, still Schema has some additional features.
As it’s a matter of 3-5 hours of implementation, at the same time it won’t hurt your SEO or GEO, so we recommend implementing the schema markup codes.
- Organization schema with complete company details
- SoftwareApplication schema (for SaaS products)
- FAQ schema (highly cited by AI engines)
- HowTo schema for tutorials and guides
- Article schema with proper author attribution
- Review/AggregateRating schema
- VideoObject schema for embedded videos
- Use JSON-LD format (preferred by Google and AI systems)
- Validate all structured data in Google Rich Results Test
1.5. Indexing & Bing Optimization
This one is critical and most SaaS brands completely ignore optimizing Bing and focus only on Google.
ChatGPT Search is powered by Bing. According to Seer Interactive’s analysis cited in The Digital Bloom’s AI Visibility Report, 87% of ChatGPT Search citations match Bing’s top 10 organic results. If you’re not indexed and ranking well on Bing, you’re invisible in ChatGPT.
- Verify your site in Bing Webmaster Tools and submit your XML sitemap
- Implement IndexNow protocol for instant Bing indexing of new and updated content
- Submit sitemap to Google Search Console (feeds AI Overviews and Perplexity)
- Use semantic URLs with 5–7 descriptive words
- Use a .com domain (avoid .in or .co.in for US market targeting)
- Implement canonical tags correctly to prevent duplicate content confusion
2. GEO Content Optimization Checklist
Your content might be well-written, high-quality, and ranking well on Google. But if it’s not structured for how AI engines extract and synthesize information, you’ll still be invisible in generative responses.
AI engines don’t rank pages the way Google does. They select, synthesize, and attribute from multiple sources. The brands cited in AI search aren’t the ones with the most content, they’re the ones getting mentioned by other sources.
2.1. AI-Friendly Content Structure
The original GEO research paper from Princeton University (published at KDD 2024) established that strategies like adding statistics and quotations to content significantly increase AI visibility. Here’s how to structure content for AI extraction:
- Lead every page with a direct, concise answer to the primary question (answer-first structure)
- Keep paragraphs to 40–60 words, this is the optimal length for AI chunk extraction
- Use clear H2/H3 sub-headers hierarchy that mirrors likely user queries
- Make each section independently comprehensible when extracted as a standalone chunk
- Include verifiable statistics and data points — the Princeton GEO paper found up to a 40% visibility improvement when adding statistical data
- Add TL;DR or summary boxes at the top of long-form content
- Write in a factual, authoritative tone
- Include a comprehensive content pattern. The structure should have all the queries as sub-headers subsequent to the main query.
AI engines don’t want over-optimization with keywords, they want clear, factual, quotable statements.
AI doesn’t entertain any content quoting #1, Best, etc,. Without a legitimate proof attached, rather it accepts any content with this formart, [product] resolves [problem] of x [industry].
Example,. AI will not cite the following quote “We’re the best CRM ever!”. The chance of citation is high, if the content says “Our CRM processes 10,000 support tickets daily for 500+ mid-market companies”
2.2. Helpful Content Types to Create
Not all content has equal value in AI search. According to The Digital Bloom’s analysis of 30M+ citations, comparative listicles have the highest citation rate at 32.5%. Here’s what to prioritize
- “What is [your product category]” definitional pages.
- “[Your Brand] vs [Competitor]” comparison pages. Use fair and factual content format with external web pages cited (for proof).
- “Best [category] tools for [use case]” pages targeting US-specific queries – These are the type of queries which have higher conversion rates, though the search volume is very thin.
- Original research reports with proprietary data (“Growth Report of [Industry] 2026” style)
- Industry benchmark reports, as AI engines love citing unique and researched (though leadership) data
- Comprehensive buyer’s guides for your product category
- Technical documentation and API docs. As per Solutions Review notes that technical implementation guides are becoming the most cited web pages in LLMs.
- FAQ pages targeting real user questions from support tickets and sales calls
- ROI calculators and cost-comparison content with specific metrics
- Publicly accessible knowledge base and help center
2.3. Content Freshness Strategy
AI platforms strongly favor recently updated content. According to Ahrefs’ 2025 study analyzing 17 million citations, fresher pages outperform older content by as much as 30% in AI visibility.
Like Google bot, ChatGPT or Perplexity bots crawl 10-15% of the content, and keeping those contents fresh, and up to date, solve content decay issues.
- Establish a content refresh calendar. Update key pages quarterly with new data and examples
- Add visible “Last Updated” dates on all content pages
- Make substantive updates around new data, examples, insights (not just date changes)
- Update comparison pages whenever competitors release new features
- Refresh statistics and data points annually at minimum
- Publish weekly or bi-weekly blog content to maintain freshness signals across the domain
- Archive or consolidate outdated content to prevent AI from citing obsolete information.
2.4. Topical Authority
AI engines as well as Google, evaluate a web page to rank or visible across the content depth the website has in the topic, and it’s called topical authority. They evaluate your entire body of knowledge on a topic.
If you’ve published one blog on “CRM for mid-market companies” but your competitor has a pillar page, 15 supporting articles, a comparison hub, a FAQ section, and original research on the same topic, the AI will cite your competitor every single time.
Semrush’s AI SEO research confirms this, when you connect relevant pages through topic clusters, AI systems can easily access your content through a process called “query fan out”, where the AI collects all relevant information for a query and its sub-queries simultaneously.
- Identify your 3–5 core topic areas where your SaaS product has deep expertise
- Create a pillar page or Comprehensive Guide for each core topic ( 3,000–5,000 word web page)
- Build 10–20 or as required supporting content pieces per pillar covering subtopics, use cases, comparisons, and FAQs
- Interlink every supporting page back to its pillar page and to related supporting pages
- Each supporting page should be independently valuable — not thin filler content
- Cover the topic from multiple angles. Example, definitional (“What is X”), comparative (“X vs Y”), tactical (“How to use X for Y”), data-driven (“State of X in 2026”)
- Include original data, proprietary insights, or unique perspectives in each cluster
2.5. Depth Signals That AI Models Look For
- Cover related subtopics and follow-up questions, as AI engines promote depth contents.
- Include a comprehensive FAQ section on every pillar page.
- Add comparison tables in the comparison pages, rather than just paragraphs. Structured data is easier for AI to parse and cite accurately
- Create glossary pages for your product category’s key terms
- Publish original research reports with proprietary data. AI engines love citing primary and factually backed data
- Maintain a publicly accessible knowledge base or help center
- Create use-case specific content for different industries, company sizes, and buyer personas
2.6. Internal Linking for AI Crawl Efficiency
- Ensure every page in a cluster links back to the pillar page (hub-and-spoke model)
- Use descriptive anchor text that helps AI understand the relationship between pages
- Cross-link related supporting pages to each other (not just to the pillar)
- Keep all important pages within 3 clicks of the homepage
- Use breadcrumb navigation with BreadcrumbList schema to reinforce topic hierarchy
- Create a topic hub page (like a mini sitemap for each cluster) that links to all related content
- Avoid orphan pages. Every content piece should be connected to at least 2–3 other relevant pages
2.7. Competitive Topical Gap Analysis
- Run test prompts on ChatGPT, Perplexity, and Google AI Overviews for your target topics.
- Identify topics where competitors get cited but you don’t, those are your content gaps
- Analyze which content formats get cited (comparisons, definitional pages, data-driven reports)
- Use Conductor’s AI Topic Map or similar tools to visualize topical coverage gaps
- Prioritize creating content that fills the highest-value gaps first
3. Brand Authority Checklist for GEO Visibility
This might be the most important (as we personally give high weightage here) in this LLMO checklist. Unfortunately, most of the SaaS brands underestimate this part, as the complete inbound marketing intention is on the revenue pipeline.
SEO or GEO is a long term branding exercise, as the brands have higher conversion rate, LLM or Google bots prioritize well reputed brands or SaaS products.
Same as Google’s algorithm, Brand search volume (not backlinks) is the strongest predictor of AI citations. If your brand doesn’t get visible or cited in a particular country, your branded search volume would be low in that country.
This changes everything about how we think about GEO. Brand-building activities that seemed disconnected from SEO now directly impact AI visibility and traditional search results.
According to the wellows data about perplexity ranking, quoted a study from Ahrefs’ 2025 analysis of 75,000 brands found that branded web mentions had the strongest correlation with AI visibility (Spearman r = 0.664). This is higher than backlinks, domain authority, or any other traditional SEO metric.
3.1. Core Entity Signals
AI models build “entity profiles” from mentions across the web. The stronger your entity profile, the more likely AI is to reference you.
- Try to get cited and optimize a Wikipedia and Wikidata page. Either you create (which is harder these days), or hire a Wikipedia editor.
- Build a comprehensive Crunchbase profile + all important directories from US with high traffic.
- Make sure the messaging and positioning of your brand or product is same across all third-party websites.
- Claim and verify your Google Knowledge Panel
- Optimize your LinkedIn Company Page for US market
- Maintain consistent brand information across every review or SaaS marketplaces
- Keep getting more reviews on regular intervals. This gives an indication to these LLMs that your business is used recently
3.2. E-E-A-T Authority Signals
Experience, Expertise, Authoritativeness, and Trustworthiness remain critical for GEO. Google evaluates content for being “helpful, reliable, and people-first”, and these signals matter for AI engines too.
- Create detailed author bio pages with verifiable credentials
- Implement Author schema markup on all content.
- Make a thought-leader as the author of the web pages.
- Cite reputable, verifiable sources in your own content — AI models trust content that cites trusted sources.
- Earn links from the authoritative and trusted sources. Also, the domain should be relevant to your niche.
- Display trust seals, compliance badges (SOC 2, HIPAA, CCPA, FedRAMP)
- Maintain a transparent About Us page with company history, team, and mission
- Publish and maintain a clear editorial policy.
- Social Sharing feature (optional).
3.3. Brand Mentions & Digital PR
Since branded mentions correlate more strongly with AI visibility than backlinks, digital PR becomes a direct GEO strategy.
- Pursue coverage in US tech publications (TechCrunch, VentureBeat, Forbes Tech Council, Fast Company)
- Focus on brand mentions (even unlinked) across US publications — these matter more for AI visibility than traditional backlinks
- Get featured in US-based voice or video podcasts (podcast transcripts get indexed and contribute to entity profiles)
- Pursue guest contributions in US publications for founders and executives
- Build relationships with US-based analysts at Gartner, Forrester, IDC
- According to Firebrand’s GEO best practices guide, PR and earned media serve as the external validation layer that increases how often AI references your brand
- Respond to HARO/Connectively journalist queries for expert commentary and brand mentions
4. Platform-Specific GEO Checklist
Most SaaS markers or naive SEO experts treat all AI engines the same, they’re not the same. Each platform retrieves, ranks, and cites content differently.
ChatGPT with Search is informed by Bing, Reddit, and Google results (combined), while Perplexity is connected to Google (especially listicle). In the same way, Claude or Co-Pilot has its own algorithm and search functions.
Here’s what works for each platform.
4.1. ChatGPT Optimization Checklist
ChatGPT operates in two distinct modes,
- Without web browsing – Responses draw exclusively from parametric knowledge (training data).
- With browsing enabled – It queries Bing and selects 3–10 diverse sources.
- Optimize for Bing ranking — 87% of ChatGPT Search citations match Bing’s top 10 results
- Submit site to Bing Webmaster Tools and verify indexing
- Implement IndexNow for instant Bing indexing of new content
- Build Wikipedia presence – For ChatGPT, Wikipedia is the most trustable source for citation.
- Build Reddit presence – After researching 1000+ SaaS commercial prompts, we found around 30-45% ChatGPT references Reddit content with 3+ upvotes
- Focus on Website and Brand authority
- Optional – Get coverage in OpenAI’s licensed publisher partners (Conde Nast, Vox Media, etc.)
- Focus on Topical Authority
- Focus on Fresh content
Note: ChatGPT mentions brands 3.2x more often than it actually cites them with links. So, focus on brand mentions.
4.2. Perplexity Optimization Checklist
Perplexity represents a fundamentally different algorithm. Every query triggers real-time web search. Perplexity is an answer engine, unlike ChatGPT being a generative engine.
It always cites its sources with numbered references, making it the most citation-heavy AI answer engine (like Google’s result).
- Focus on real-time content freshness.
- Optimize for Google ranking
- Create snippet-optimized content with 40–60 word paragraphs — Wellows’ Perplexity visibility guide recommends leading with the answer and breaking paragraphs into easily extractable blocks
- Include explicit citations, data, and statistics in your content — Perplexity loves citing data-rich sources
- Build authentic Reddit presence — Perplexity emphasizes real-time Reddit content
- Focus on comprehensive, high word-count content — Perplexity rewards depth
- Maintain strong YouTube presence — BrightEdge data shows Perplexity has an 18% YouTube citation preference
- Include author bylines and credentials — authority signals matter for Perplexity
4.3. Google AI Overview & Gemini Optimization Checklist
Google AI Overviews sit on top of traditional search results and pull from Google’s own index. Search Engine Land reports that AI Overviews appear in at least 16% of all searches, significantly higher for comparison and high-intent queries.
- Maintain strong traditional Google SEO
- YouTube optimization is critical. According to BrightEdge’s research, YouTube accounts for 29.5% of Google AI Overview citations, making it the most cited domain overall
- Build diversified cross-platform presence.
- Create comprehensive topic coverage addressing related subtopics and follow-up questions
- Implement all relevant Schema.org structured data
- Ensure Google-Extended crawler access is allowed
- Prioritize Topical Authority.
- Brand Mentions, and brand search volume.
- Fresh Content
Note: AI Overviews sometimes cite sources NOT in the traditional top 10 SERP results. So, even pages that don’t rank can get visible.
Comparison between LLM Platforms
Factor | Traditional Google | AI Overviews | ChatGPT | Perplexity |
|---|---|---|---|---|
Backlinks | Very important | Somewhat important | Indirect (brand authority) | Moderate |
Keywords | Critical | Moderate | Low | Low-Moderate |
Content clarity & structure | Important | Very important | Important | Very important |
Brand authority | Helpful | Helpful | Very important | Important |
Freshness | Moderate | Moderate | Low (unless browsing) | Very important |
Citations & data | Helpful | Very helpful | Helpful | Very important |
Technical SEO | Critical | Important | Low relevance | Moderate |
Direct answer format | Moderate | Very important | Important | Very important |
Transparency of ranking | High (trackable) | Moderate | Very low | Moderate (cited sources visible) |
5. Review & Social Proof Checklist for GEO
AI platforms reference review platforms when recommending software. When someone asks ChatGPT or Perplexity “What’s the best project management tool for mid-market teams?”, it pulls from G2, Capterra, and similar platforms to form its answer.
5.1. Review Platforms (Prioritized for AI Impact)
- G2, Capterra, Gartner, Software Suggest: Aim for 50+ reviews from US-based users in all these platforms, as these are the most important review platforms for SaaS AI visibility. Optimize your profile for every platform with US-relevant use cases and screenshots.
- Other important Review cum Software marketplace: Maintain complete profiles with US customer reviews in more than 100+ such marketplace which has subsequent organic traffic per month.
- TrustRadius: Particularly important for enterprise SaaS
- Product Hunt: Launch or re-launch with a strong campaign. Aim for top-5 Product of the day. Product Hunt pages rank well and are frequently referenced by AI models
- Trustpilot: Relevant for SMB-focused SaaS
- GetApp, FinancesOnline, SaaSWorthy: Maintain updated profiles on secondary directories
- Industry-specific review platforms for your vertical
5.2. Social Proof on Your Website
- Prominently feature US customer logos on homepage and product pages
- Publish detailed US customer case studies with specific metrics and outcomes
- Include video testimonials hosted on YouTube (dual benefit: social proof + YouTube AI visibility)
- Display G2 badges, Capterra ratings, and analyst recognitions
- Show compliance badges relevant to US market: SOC 2 Type II, HIPAA, CCPA
- Include “Trusted by X companies” or “Used by teams” sections with recognizable US brand names
- Apply for SaaS awards: SaaS Awards, Cloud Awards, CODiE Awards, Inc. 5000, Deloitte Fast 500
6. YouTube & Video Strategy Checklist
If you’re a SaaS company and you’re not on YouTube, you’re leaving one of the biggest AI visibility channels completely untapped.
According to BrightEdge’s comprehensive analysis of AI citation patterns, YouTube is cited 200 times more than any other video platform by AI search engines including ChatGPT, Perplexity, and Google’s AI Overview.
Search Engine Land’s coverage of the data confirms that YouTube holds a 20% average citation share across AI platforms. At 29.5% of Google AI Overviews, YouTube is the most cited domain overall.
Here’s your YouTube GEO checklist:
- Create a dedicated YouTube channel with ICP-focused content strategy
- Produce product demos, tutorials, and how-to videos
- Create “What is [category]” explainer videos targeting definitional queries
- Produce comparison videos (“[Your Product] vs [Competitor]”)
- Publish thought leadership videos featuring founders and subject matter experts
- Add detailed, keyword-rich descriptions to every video
- Upload full transcripts and make them public.
- Implement VideoObject schema on your website for all embedded videos
- Use keyword-rich titles optimized for both YouTube SEO and AI queries
- Create topical playlists to signal expertise depth
- Add chapters/timestamps to videos for AI key-moment extraction
- Cross-promote YouTube videos in blog posts, documentation, and product pages
- Target Q&A-style video topics: “How does [product] solve [problem]?”
7. Community & Off-Site Signals Checklist
Today’s SEO is not about search engine optimization, it’s search everywhere optimization. If you miss presenting in every platform your users can search for, you’re losing to your competitor.
7.1. Reddit (Critical for ChatGPT & Perplexity)
Reddit has become a surprisingly powerful AI visibility channel. Reddit has become the most influential source ranging between 25-45% for LLMs like ChatGPT (on the higher side), Perplexity, and Google AI Overview (on the lower-side).
- Be genuinely active on relevant subreddits (r/SaaS, r/startups, r/smallbusiness, industry-specific)
- Provide authentic value — not promotional content. AI systems detect and ignore self-promotion
- Build karma and community trust over time
- Share expertise in threads where your product category is discussed
7.2. Developer & Professional Communities
- Stack Overflow: Answer questions related to your product category
- GitHub: Contribute open-source tools, integrations, sample code
- Hacker News: Participate in discussions — can drive significant AI and web visibility
- Dev.to, Hashnode: Publish on developer blogging platforms
- Quora: Answer questions authoritatively in your product category
- Indie Hackers: Especially valuable for bootstrapped/SMB SaaS
- Relevant Slack and Discord communities
7.3. Integration & Partnership Ecosystem
Each marketplace listing creates an additional indexed page about your brand in a high-authority context. This is a GEO signal most brands overlook.
- Build integrations with popular US SaaS tools (Salesforce, HubSpot, Slack, Zapier)
- Get listed on partner marketplaces: Salesforce AppExchange, HubSpot App Marketplace, Slack App Directory, Zapier directory, Shopify App Store
- Pursue co-marketing with established US SaaS brands (joint webinars, case studies, blog posts)
- Build technology partnerships that create cross-referencing content
8. Monitoring & Measurement Checklist
You can’t optimize what you don’t measure. And in AI search, the metrics are fundamentally different from traditional SEO. According to Go Fish Digital’s comprehensive GEO guide, enterprises need new KPIs like AI Visibility Rate (AIGVR), Citation Rate, and Content Extraction Rate.
8.1. AI Visibility Tracking Tools
- Set up tools like Otterly AI or Peec or similar tool for cross-engine monitoring (Google AI Overviews + ChatGPT + Perplexity)
- If you’re a SEMrush user, you can opt for SEMrush One, which tracks AI Visibility
- Consider Profound (expensive)for enterprise-level AI visibility tracking
- Configure Google Analytics 4 to track traffic from AI referrals (chatgpt.com, perplexity.ai, etc.)
8.2. Manual Testing Protocol (Time Consuming)
Even with tools, manual testing gives you insights that automated tracking misses.
- Test your top 20–50 target queries weekly across ChatGPT, Perplexity, Gemini, and Google AI Overviews
- Test buyer-intent queries: “What is the best [category] for [use case]?”
- Test comparative queries: “[Your Brand] vs [Competitor]”
- Test definitional queries: “What is [your product category]?”
- Document which brands get mentioned for each query (including competitors)
- Track sentiment: Is your brand mentioned positively, neutrally, or negatively?
- Use US VPN/location to see US-specific results
8.3. New KPIs to Track
Traditional SEO metrics like rankings and clicks tell only part of the story. Here are the GEO-specific KPIs:
- AI Visibility Rate (AIGVR): How often your brand appears in AI responses for target queries
- Citation Rate: How often your website is cited as a source
- Share of Voice: Your brand mentions vs. competitors in AI responses
- Content Extraction Rate: Which content pages are being cited most
- Sentiment Score: How AI platforms characterize your brand
- Conversion from AI Traffic: Track leads and signups from AI referral sources
How to implement GEO/LLMO Checklist?
If you’re a SaaS company reading this generative engine optimization checklist and feeling overwhelmed, start here. This is the exact priority order we follow at 7 Eagles for our clients.
Week 1 (Immediate Actions) | Month 1 (30-Day Actions) | Quarter 1 (90-Day Actions) | 6–12 Months (Long-Term) |
|---|---|---|---|
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Conclusion
GEO or LLMO or AEO is the talk between the SaaS marketing leaders. As most of the SaaS buyers are making purchasing decisions with search in ChatGPT or Claude or Perplexity, it’s hard time to keep your brand visible in these GEO or AEO space.
This GEO checklist isn’t just another to-do list, It’s the exact step-by-step GEO process we follow at 7 Eagles for our SaaS clients across MarTech, FinTech, HealthTech, PropTech, and more. We’ve refined it across 200+ projects and we update it continuously as AI search evolves.
If you want to be visible in AI search and start getting cited where your buyers are actually looking, then this checklist is for you.
We are also here to help you with our Generative Engine Optimization services to provide competitor advantage and building pipeline from AI traffic.
FAQs
What is a GEO checklist?
A GEO checklist is a structured list of action items to optimize your brand’s visibility in AI-powered search engines like ChatGPT, Google AI Overview, and Perplexity. It covers technical setup (AI crawler access, schema, rendering), content optimization (AI-extractable structure), brand authority (entity signals, mentions), and platform-specific strategies.
How is a GEO checklist different from an SEO checklist?
An SEO checklist focuses on ranking in Google’s traditional SERPs through keywords, backlinks, and technical optimization. A GEO checklist focuses on getting your brand cited in AI-generated answers. While they share fundamentals like content quality and technical SEO, GEO adds layers like AI crawler access, entity authority, Bing optimization, and platform-specific strategies for ChatGPT, Perplexity, and AI Overviews.
How long does it take to see results from GEO optimization?
An SEO checklist focuses on ranking in Google’s traditional SERPs through keywords, backlinks, and technical optimization. A GEO checklist focuses on getting your brand cited in AI-generated answers. While they share fundamentals like content quality and technical SEO, GEO adds layers like AI crawler access, entity authority, Bing optimization, and platform-specific strategies for ChatGPT, Perplexity, and AI Overviews.
Do I still need SEO if I'm doing GEO?
Absolutely. SaaS SEO is the foundation of GEO. AI engines like Perplexity pull from Google’s index, and ChatGPT uses Bing. Strong traditional SEO directly feeds AI visibility. As Google’s John Mueller stated at Google Search Live in December 2025, “there is no such thing as GEO or AEO without doing SEO fundamentals.”
What tools can I use to track GEO performance?
The top GEO tools include Otterly.AI, Profound,SEMrush One, Peec, LLMrefs, Scrunch AI, Peec AI, etc. These help track AI visibility across ChatGPT, Perplexity, Google AI Overviews, and more.
Is this LLMO checklist different from an AEO checklist?
They’re essentially the same thing with different names. LLMO (LLM Optimization), AEO (Answer Engine Optimization), and GEO (Generative Engine Optimization) all aim to make your brand visible in AI-generated search answers. The industry hasn’t settled on one term yet — we use GEO at 7 Eagles, but the strategies are identical regardless of what you call it.
Can a new SaaS brand get visible in AI search engines?
Yes. using a structured GEO Checklist focused on technical foundations, answer-first content, and early authority signals, appeared in 16.5% of relevant AI responses within 6 weeks across 150 buyer-style prompts. Early visibility is driven by structure, schema, and crawlability — not company age.
