How ChatGPT Uses SEO to Drive Growth and Revenue (and What You Can Learn From It)

When ChatGPT first exploded into the mainstream, many people feared the worst: Will AI answers kill search? Will people stop Googling? Surprisingly, the opposite is happening. Rather than replacing SEO, ChatGPT is quietly using SEO as one of its most powerful growth engines to drive traffic, sign‑ups, and paid subscriptions.

In a widely discussed analysis, the author makes a bold but data‑backed argument: OpenAI is investing heavily in SEO for ChatGPT, while rivals like Claude and Perplexity are not optimizing as aggressively—and that SEO gap is directly translating into revenue and market share.

This blog unpacks that analysis in depth and turns it into a practical playbook you can apply to your own website, SaaS platform, or AI‑powered product—whether you’re running a local business in India or a global SaaS brand.

The Big Picture: SEO or Bust

The analysis starts with a simple but powerful idea: for AI‑native platforms, SEO isn’t optional—it’s a core growth lever.

To illustrate this, the author estimates:

• ChatGPT: roughly 76.5 million monthly organic visits
• Perplexity: about 1.7 million visits
• Claude: around 908,000 visits

Using a conservative 0.5% conversion rate and an entry price of $20/month, the implied revenue from SEO‑driven traffic becomes staggering:

• ChatGPT: close to $92 million in annual revenue from SEO‑driven conversions.
• Claude and Perplexity: solid but much smaller uplifts—still significant, but nowhere near ChatGPT’s scale.

This math suggests that even a modest internal SEO team budget (in the $400K–$600K/year range) can unlock hundreds of millions in incremental revenue for an AI platform.

In other words, OpenAI isn’t just building a great AI product; it’s building a great SEO engine on top of it.

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Why OpenAI Is Betting Big on SEO

The analysis notes that OpenAI has been actively hiring:

• A content‑strategy role requiring SEO experience, with a salary in the $310K–$393K range.
• A growth‑focused SEO/CRO role, with U.S. salaries anywhere from $100K–$295K.

When you add these up, it implies OpenAI is investing roughly $410K–$600K per year on SEO talent alone, not counting tools, agencies, or overhead.

Translated into decision‑making language:

• OpenAI views SEO as a scalable, high‑ROC (return on conversion) channel, not a side project.
• It understands that traffic from search engines is still the largest, most predictable source of demand for software and AI‑native products.

This mindset shift is exactly what many founders and marketers are still missing: great AI + poor SEO = growth bottleneck. Great AI + great SEO = compounding revenue.

The Search‑Behavior Reality Check

The analysis also challenges the myth that AI overviews or answers‑bots will kill search. Instead, it shows:

• Search behavior is deeply rooted in human psychology. People habitually turn to search every time they face a problem, even if the interface changes.
• AI tools are shifting some queries inside their own interfaces (e.g., asking ChatGPT directly instead of Google), but they’re also driving more searches for related topics in other contexts.
• That said, overall Google search volume reportedly dropped about 20% from 2024 to 2025, partly due to AI‑powered overviews absorbing clicks and reshaping SERPs.

Under these conditions, visibility becomes more important, not less. The fewer clicks people make, the more valuable each ranking position becomes. That’s why ChatGPT is doubling down on SEO: it knows that every extra page ranking higher can unlock thousands of sign‑ups and millions in revenue.

Competitive SEO Audit: ChatGPT vs. Claude vs. Perplexity

To prove its point, the analysis compares the three AI platforms using a mini‑SEO audit built on Semrush‑style data. Here’s what it found:

Brand Authority and Demand

• Domain “authority” scores (Semrush proxy): 
  • ChatGPT: 99
  • Perplexity: 81
  • Claude: 75 
• Monthly search volume for branded terms: 
  • “ChatGPT”: 45.5M
  • “Perplexity”: 1M
  • “Claude”: 500K

This shows that ChatGPT has far more branded demand to capture, while the others have to work harder just to grow basic organic visibility.

Keyword Scale and Growth

• Approximate keyword rankings per platform: 
  • ChatGPT: ~287,800 keywords
  • Perplexity: ~184,800 keywords
  • Claude: ~36,000 keywords

More importantly, ChatGPT shows steady month‑over‑month growth in rankings, while Claude and Perplexity lag behind. This isn’t luck—it’s because OpenAI is building an SEO‑aware product architecture, not just a feature‑rich AI interface.

ChatGPT indexes:

• Product‑use guides
• Industry‑specific pages
• User‑generated workflows
• Shared artifacts and templates

All of this becomes extra indexable content that feeds the SEO engine and pushes traffic into the product and paid tiers.

The “3Cs” Framework: Code, Content, Conversions

The analysis proposes a practical framework—Code, Content, Conversions (the 3Cs)—to show how OpenAI is integrating SEO into its growth strategy.

Code: The Technical SEO Foundation

For AI platforms, SEO starts in the code layer, not in the blog. The way the product exposes content to search engines and LLMs directly impacts rankings and discoverability.

1. Robots.txt and Indexability

• ChatGPT:
  • Its robots.txt is highly optimized, with multiple sitemaps, location directives, and clear blocking rules.
• Perplexity:
  • Its robots.txt is less detailed and less optimized.
• Claude:
  • It had no robots.txt at all until recently, then only a basic version.

A missing or poorly configured robots.txt can silently block crawlers from indexing important pages, which hurts both organic rankings and SEO‑driven growth. ChatGPT avoids that mistake by treating technical SEO as core infrastructure, not an afterthought.

2. URL Structure Matters

Even though Google calls keywords in URLs a “very small” ranking factor, the analysis still finds a clear correlation between keyword‑rich URLs and ranking strength.

• ChatGPT often embeds descriptive keywords and user‑generated titles into URLs, which helps search engines and LLMs understand what the page is about.
• Claude’s shared artifacts, on the other hand, frequently carry opaque, non‑descriptive URLs, which weakens their SEO signal and limits discoverability.

Think of it like this: saying “I want a burger near me” leads to much better results than saying “I want 2387d2e3.” Readable, keyword‑rich URLs are like that “burger” request for search engines and AI crawlers.

Content: SEO‑Optimized Pages and Blogs

Once the technical foundation is in place, the next layer is content that is genuinely optimized—not just written fast.

What ChatGPT Does Well

• Publishes use‑case‑specific pages and product‑oriented guides that target real user intent (e.g., “how to use ChatGPT for marketing,” “how to use ChatGPT for coding,” “how to use ChatGPT for customer support”). 
• Leverages user‑generated content and public artifacts (shared chats, templates, workflows, prompts) as additional indexable pages. 
• Maintains a consistent internal structure across pages, helping both humans and bots understand the site hierarchy and authority.

This turns usage patterns into SEO assets: every time a user shares a useful ChatGPT workflow, OpenAI gains another page that can rank for niche queries and pull in long‑tail traffic.

Where Claude and Perplexity Fall Short

• Both publish high‑intent blogs and industry pages, but they often: 
  • Don’t fully optimize meta titles, meta descriptions, URLs, or canonical tags.
  • Leave important pages unindexed or poorly tagged.
  • Don’t optimize images (e.g., using generic filenames instead of descriptive ones like perplexity‑deep‑research.webp).

The author calls this “death by a thousand optimization cuts”—small, repeated mistakes that add up to a weaker organic footprint.

His recommendation:

• Bake SEO into the technical foundation of your product from day one.
• Fully optimize every blog post and landing page (titles, descriptions, headings, image tags, alt text).
• Encourage and structure community or user‑generated content so it can be indexed and ranked, without becoming messy or spammy.

Conversions: SEO Driving Revenue, Not Just Traffic

The analysis’s most underrated insight is this: SEO must drive revenue, not just traffic.

ChatGPT does this by:

• Offering free access or trials so users can experience the product without friction.
• Then guiding them through onboarding flows that highlight premium features and usage limits.
• Prompting upgrades to paid plans (e.g., ChatGPT Plus) at the right moments in the user journey. 

This turns SEO‑driven visitors into paying users rather than one‑time visitors. The analysis suggests that all three platforms use similar patterns (free tier → sign‑in → paid upgrade), but ChatGPT’s combination of scale, SEO‑driven traffic, and frictionless funnels lets it convert more of that traffic into revenue.

Actionable lessons for any website or SaaS product:

• Design SEO‑first landing pages that clearly answer a user’s intent and end with a strong CTA (free trial, demo, or sign‑up).
• Use AI‑powered interactive content (calculators, configurators, demos, chatbots) to capture attention and email sign‑ups, especially as Google’s AI Overviews take more clicks.
• Track SEO‑driven conversion rates (not just visits) and optimize the funnel: reduce friction, shorten signup flows, and test different CTAs.

Integrated Search: SEO + PPC

The analysis also points out that SEO doesn’t exist in isolation. All three platforms—ChatGPT, Claude, and Perplexity—run Google Ads campaigns on top of their organic strategy.

This creates a powerful synergy called “integrated search”:

• Target the same high‑value, often expensive keywords with both SEO and PPC.
• SEO builds long‑term authority and trust, while PPC accelerates short‑term visibility and conversions. 

This approach:

• Increases overall conversions from the same search terms.
• Often lowers CPCs over time because of better quality scores and stronger signals.
• Lets a brand dominate more SERP real estate, pushing competitors down the page.

Yet the audit suggests none of the three platforms are exploiting this synergy at full scale. That leaves a big opportunity for SaaS companies, AI‑native products, and even regional brands like two99.org willing to combine SEO and paid search intelligently.

The Bigger Lesson for Marketers and Builders

The analysis’s final takeaway is as much philosophical as it is tactical:
If OpenAI—a company founded on AI disruption—is investing up to ~$600K per year in SEO talent to grow ChatGPT, then SEO should be treated as a core growth lever, not a secondary channel.

In a world where:

• Google’s AI Overviews are taking clicks,
• generative AI is reshaping how users discover information,
• and overall search volume is under pressure,

strong SEO (technical + content + conversion‑focused) becomes more strategic, not less.

Actionable Takeaways You Can Apply to two99.org

Here’s a practical checklist you can use to build your own “ChatGPT‑style” SEO strategy for two99.org or any similar website:

1. Technical SEO Foundation 
   • Audit your robots.txt, sitemaps, and crawl budget. Ensure key pages are allowed to index and unnecessary ones are blocked.
   • Use semantic, keyword‑rich URLs consistently across blogs, product pages, and user‑generated sections.
   • Ensure fast loading, mobile‑friendly design, and clean internal linking so both search engines and users can move smoothly through your site. 
2. Content Optimization 
   • Optimize titles, meta descriptions, headings, image tags, and alt text on every page and blog post.
   • Publish use‑case‑specific guides that answer real user questions (e.g., “how to use AI for SEO,” “how to combine SEO and PPC for higher conversions”).
   • Encourage community or user‑generated content (comments, forum posts, shared workflows, templates) and structure it so it can be indexed and ranked without hurting UX. 
3. Conversion‑Driven SEO 
   • Build landing pages that convert, not just inform.
   • Add interactive tools or demos—for example, an AI‑powered SEO audit, keyword planner, or content generator—to capture attention and email sign‑ups.
   • Track SEO‑driven conversion metrics (traffic → sign‑ups → paid users) and iterate on the funnel to reduce drop‑offs. 
4. Integrated Search Strategy 
   • Combine SEO + Google Ads on high‑intent keywords related to AI, SEO, growth, and marketing.
   • Use SEO to build long‑term authority and PPC to accelerate short‑term growth.
   • Run tightly aligned campaigns where your organic landing pages, ad copy, and CTAs all tell the same story. 
5. Adopt the “AI + SEO” Mindset 
   • Treat AI and SEO as a bundle, not as competing channels.
   • Ask: How can my AI‑powered product or content strategy at two99.org also be an SEO‑powered system?
   • Consistently test how AI‑generated content, workflows, and tools can support SEO, not just replace it.

Conclusion

This analysis isn’t just a case study of ChatGPT versus its rivals. It’s a wake‑up call: AI is not killing SEO; AI is forcing SEO to evolve.

ChatGPT’s success shows that great technology plus disciplined SEO can unlock explosive growth and revenue. If you’re building a software product, AI‑native tool, or even a local‑service business competing online, the lesson is clear:

Start thinking like OpenAI: build your product for users, but build your marketing for search engines—and watch both traffic and revenue compound at two99.org.