The SEO industry loves new acronyms. In 2026, three dominate the conversation: SEO (Search Engine Optimization), AEO (Answer Engine Optimization), and GEO (Generative Engine Optimization). Vendors sell separate playbooks for each. Agencies pitch three-service bundles. Conference tracks multiply.
Google's latest guidance suggests most of this is unnecessary.
What Google Actually Said
In guidance on optimizing for generative AI features, last updated July 10, 2026, Google states plainly: "the best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems."
The company also named four AI-specific tactics it does not use:
1. llms.txt
"Google Search itself doesn't use them, and adding one will neither harm nor help your site's visibility."
2. Content chunking
"There's no requirement to break your content into tiny pieces."
3. AI-specific rewriting
"You don't need to write in a specific way just for generative AI search."
4. Special AI schema
"Structured data isn't required for generative AI search, and there's no special schema.org markup you need."
What This Means for Marketers
The three acronyms name three surfaces:
- SEO: A ranked list of links
- AEO: An extracted answer
- GEO: A generative answer with citations
On Google, all three run on the same core ranking systems. The surfaces differ more than the work does.
This does not mean AEO and GEO are meaningless concepts. It means that for Google specifically, optimizing for them is optimizing for SEO — with adjusted measurement.
Where the Guidance Falls Short
Google describes Google. ChatGPT, Claude, and Perplexity publish nothing equivalent. "Google does not use llms.txt" is not "no engine uses llms.txt."
Outside Google's ecosystem, visibility is fragmented. Orbit Media found four AI models cited the same domain for the same question just 1.7% of the time. Earned media and third-party mentions matter more for non-Google AI engines than on-page optimization.
The Real Differences That Survive
After subtracting retired tactics and Google's own debunking, three differences remain:
Measurement
SEO tracks rankings and clicks. AEO/GEO tracks citations and impressions in AI surfaces. Different dashboards, different KPIs.
Content format
While Google says no special writing is needed, content that provides clear, direct answers to specific questions is more likely to be cited in AI Overviews. This is good writing, not AI-specific writing.
Distribution
For non-Google AI engines, third-party mentions and earned media drive citations more than on-page optimization. PR and content distribution become SEO-adjacent disciplines.
Practical Recommendations for Developer Marketers
If you market to developers — Circuit's core audience — here is what to do:
Keep doing SEO fundamentals. Technical SEO, quality content, authoritative backlinks, and fast page loads still drive visibility across all Google surfaces.
Add citation tracking. Use Search Console's generative AI report to monitor AI Overview impressions alongside traditional metrics.
Invest in earned media. GitHub presence, conference talks, podcast appearances, and third-party reviews drive citations in ChatGPT and Claude more than blog post formatting.
Skip the gimmicks. llms.txt files, artificial content chunking, and AI-specific schema markup are not moving the needle on Google.
Write clear answers. Structure content with direct responses to specific questions. Use headers that match query intent. This helps both traditional search and AI extraction.
The Budget Question
The biggest real difference between AEO, SEO, and GEO is where the budget goes. If you have been sold a three-service package, you are likely paying three times for overlapping work.
Consolidate around:
- One content strategy
- One technical SEO foundation
- Expanded measurement (traditional + AI citations)
- Targeted earned media investment for non-Google AI engines
The Bottom Line
Google ended the debate for its own platform: SEO is AEO is GEO. The work is the same. The measurement is different. The distribution strategy for non-Google engines adds a layer, but it is an extension of PR and content marketing — not a new discipline requiring new agencies and new budgets.
The marketers who win in 2026 will be the ones who stopped buying three acronyms and started tracking three surfaces with one strategy.