If you want an unfiltered take on generative engine optimization, skip the marketing blogs. Go to Reddit. Threads across r/SEO, r/bigseo, r/marketing, and r/digital_marketing have been arguing about AI search optimization for over a year now. And honestly? They're having a more useful conversation than most industry conferences.
I've spent weeks reading through hundreds of these threads. Some are brilliant. Some are dead wrong. Most are somewhere in between. Here's what the Reddit crowd actually gets right about GEO, where they go off the rails, and what their questions tell us about where this industry is headed.
What Reddit Gets Right
AI search is real and growing fast
This one isn't even controversial on Reddit anymore. A year ago, you'd see threads full of "this is just hype" and "ChatGPT isn't a search engine." Those voices have mostly gone quiet. The data won the argument.
ChatGPT processes over 200 million queries a day. Perplexity has tens of millions of monthly active users. Google AI Overviews show up on roughly 40% of search results. Reddit users who work in SEO are seeing it in their own analytics: referral traffic from AI sources is climbing, and traditional organic clicks are sliding. One r/bigseo commenter put it perfectly: "My client's brand gets mentioned by ChatGPT more than it shows up on page one of Google for some queries. That wasn't true six months ago."
Traditional SEO alone doesn't cut it anymore
This is the big one. Redditors in the SEO community are watching their carefully optimized pages get summarized (or worse, ignored) by AI engines. Ranking #1 on Google doesn't guarantee you'll be mentioned when someone asks Perplexity the same question. The mechanics are different. Backlink profiles and keyword density don't map cleanly to how a large language model decides which brands to cite.
A recurring sentiment on r/SEO: "I can get my client to rank #1 for their target keywords, but I have zero control over whether ChatGPT recommends them." That frustration is valid. And it's exactly why GEO exists as a separate discipline.
Most brands are completely ignoring this
Thread after thread, agency owners and in-house marketers report the same thing: their companies aren't doing anything about AI visibility. No audits. No monitoring. No strategy. They're still running the same SEO playbook from 2022 and hoping for the best.
One r/marketing poster surveyed their team of 14 marketing managers at a mid-size SaaS company. Zero had checked whether their brand appears in ChatGPT or Perplexity responses. Not one. That's not an outlier. That's the norm. And frankly, it's a massive opportunity for anyone who starts paying attention now.
What Reddit Gets Wrong
"Just write good content" is not a strategy
This comes up constantly. Someone asks how to optimize for AI search, and the top reply is "just write high-quality, helpful content." It sounds wise. It's also useless.
Writing good content is table stakes. It's the equivalent of telling someone who wants to rank on Google to "just make a good website." Sure, you need that. But you also need structured data. Entity mapping. JSON-LD markup. A content freshness strategy. Third-party mentions on authoritative sites. Understanding how each AI engine's retrieval system works.
"Good content" without GEO tactics is like a well-written book that nobody shelved in the library. The AI engines have to find you, understand you, and trust you enough to cite you. That takes deliberate optimization, not just quality writing.
You can't manually check every AI engine
A popular Reddit approach: "I just ask ChatGPT about my brand every few days and see what it says." Some people even have a spreadsheet where they track responses manually.
This breaks down immediately at any real scale. AI responses vary by session, by model version, by phrasing, and by user context. Asking one question once tells you almost nothing. You need to run dozens of relevant queries, across 8 different engines, repeatedly over time, to get a statistically meaningful picture. Nobody is doing that in a spreadsheet. Not accurately, anyway.
"GEO is just SEO with extra steps"
I see this take at least once a week. And I get why people think it. GEO and SEO share some DNA. Structured data helps both. Good content helps both. Authority signals help both.
But the mechanics are fundamentally different. SEO is about ranking algorithms that weigh hundreds of known signals (backlinks, page speed, Core Web Vitals, keyword relevance). GEO is about how a large language model synthesizes information from its training data and retrieval pipeline to decide which entities to mention in a generated response. The scoring is different. The freshness dynamics are different. The measurement is different. Calling GEO "SEO with extra steps" is like calling mobile app design "web design with extra steps." Technically related, practically a different skillset.
The honest truth: GEO borrows from SEO. It builds on SEO. But if you treat it as just another SEO checkbox, you'll get mediocre results. The brands winning in AI search are the ones treating it as its own channel with its own strategy.
The Questions Reddit Keeps Asking
"Is GEO worth investing in right now?"
Yes. And not because of hype. The market for generative engine optimization is projected at $1.09 billion in 2026, growing at 40.6% CAGR. That growth rate exists because companies that started optimizing for AI search 6-12 months ago are seeing measurable results: higher citation rates, more referral traffic from AI sources, and better brand perception in AI-generated responses.
The window of easy wins is still open. Most of your competitors aren't doing this yet. But that window closes fast. When every brand in your category starts optimizing for AI citations, the cost of catching up goes way up. Early movers have a real advantage here.
"Which AI engines matter most?"
All 8 major engines matter, but there's a clear priority order. ChatGPT, Perplexity, and Gemini are the big three. They handle the vast majority of AI search volume. Google AI Overviews is a close fourth because it directly affects traditional search results.
After that, Claude, Bing Copilot, Meta AI, and Grok each have meaningful user bases. A brand that shows up consistently across all 8 engines has a massive advantage over one that only optimizes for ChatGPT. But if you're just getting started, focus on the top three and expand from there.
"Can I do this myself?"
Partially. You can absolutely do manual spot checks. Open ChatGPT, type in some queries about your industry, see if your brand comes up. That's free and you should do it today.
But manual prompting doesn't scale. It doesn't give you historical data. It doesn't cover 8 engines simultaneously. It doesn't measure sentiment or prominence or share of voice. It doesn't flag when your content freshness is decaying. And it doesn't generate the citation-optimized content briefs you need to actually improve your visibility.
For a quick gut check? DIY works. For a real strategy with measurable outcomes? You need tooling.
The Gap Reddit Reveals
Reading through months of these threads, one pattern stands out above everything else: people want AI visibility data but don't know where to find it.
They know the problem exists. They know their brands might be invisible to AI search engines. They've tried manual checks and found them unreliable. They've looked for tools and found a confusing mix of expensive enterprise platforms, half-baked scripts, and vaporware.
The r/bigseo crowd in particular is vocal about this. These are experienced SEOs who've been doing this for 10+ years. They understand data-driven optimization. They want dashboards, trend charts, competitor benchmarks, and actionable recommendations. What they don't want is to cobble together their own monitoring stack from Python scripts and API calls.
That gap is exactly why we built GeoGryphon. Not because Reddit told us to (although the validation was nice), but because the need is obvious to anyone paying attention. Marketers need to track their AI visibility across ChatGPT, Perplexity, Gemini, and every other major AI engine. They need to do it systematically, with real data, and they need to see trends over time.
What's Coming Next
Reddit threads also reveal where this whole space is headed. A few signals worth watching:
- Agency adoption is accelerating. More threads from agency owners asking about GEO services for their clients, not just their own brands. When agencies start selling it, the market expands fast.
- Enterprise teams are building internal GEO roles. Job postings for "AI Search Strategist" and "GEO Manager" are showing up in r/marketing job threads. That's a leading indicator.
- The SEO/GEO convergence is real. Smart practitioners aren't choosing between them. They're building unified strategies. Best practices from SEO (structured data, entity authority, topical clusters) feed directly into GEO success.
- Content freshness anxiety is growing. More threads about the 90-day decay problem, where optimized content loses its AI citations after a few months. This is going to drive demand for monitoring and alerting tools.
Reddit isn't always right. But when thousands of practitioners in r/SEO, r/bigseo, r/marketing, and r/digital_marketing are all talking about the same problem? That's not hype. That's signal.
The brands that listen to that signal — and act on it — are going to own AI search in their categories. The ones that don't? They'll be wondering in 12 months why ChatGPT keeps recommending their competitors.