Developer marketing teams have spent the past year hearing about AEO — answer engine optimization — and GEO — generative engine optimization — as new disciplines requiring new tactics. Google's official guidance, updated in late 2025 and reinforced in 2026, says otherwise: optimizing for AI search features is still SEO.
For teams at technology companies trying to reach developers through content, this clarification should refocus strategy away from gimmicks and toward fundamentals.
What Google actually said
Google's AI optimization guide states plainly that its generative AI features — AI Overviews and AI Mode — are rooted in core Search ranking and quality systems. These features use retrieval-augmented generation (RAG) to pull from the Search index, review retrieved pages, and generate responses with clickable links to supporting sources.
Key technical concepts:
RAG (retrieval-augmented generation). AI responses are grounded in web pages Google's systems retrieve and evaluate. Your content must be in the index and rank well to be retrieved.
Query fan-out. Models generate concurrent related queries to fetch additional results. A single user question may trigger multiple retrieval paths. Comprehensive content that addresses related questions has an advantage.
What Google says to ignore
The guidance explicitly dismisses several popular "AEO hacks":
- Content chunking — artificially breaking content into AI-friendly segments without user value.
- llms.txt files — creating unnecessary AI-specific text files.
- Inauthentic mentions — pursuing brand mentions designed to game AI systems rather than serve readers.
Google's message: if someone is selling you AEO services based on these tactics, save your budget.
What developer marketers should do instead
Create genuinely helpful technical content
Developers are sophisticated readers. Content that explains concepts clearly, provides working code examples, and addresses real implementation challenges performs in both traditional search and AI features.
Ensure technical accessibility
AI features require pages to be indexed, crawlable, and eligible for snippets. Verify:
- robots.txt allows crawling
- Important content is in HTML text, not only images or JavaScript-rendered blocks
- Internal linking helps discovery
- Page experience meets Google's standards
Maintain accurate structured data
Structured data should match visible page content. For developer content, this includes proper article markup, FAQ schema where genuinely applicable, and code documentation patterns.
Build authority through expertise
Google's systems evaluate content quality. Developer marketing that showcases genuine engineering expertise — tutorials written by practitioners, architecture decisions explained with trade-offs, honest product comparisons — earns visibility. Content farms with thin AI-generated posts do not.
The developer marketing implication
If your developer marketing strategy assumed AI search required a parallel optimization track, Google is telling you it does not. The teams that win visibility in AI Overviews are the teams that already win in search: clear site architecture, authoritative content, technical excellence, and genuine audience value.
Circuit's clients and partners should invest in content quality, not AEO snake oil. Measure visibility through Search Console's generative AI performance reports. Track which pages appear as supporting links in AI features. Optimize based on data, not hype.
The bottom line
AEO is a marketing term. SEO is Google's system. They are the same game. Developer marketing teams that refocus on fundamentals — rather than chasing the latest optimization fad — will be better positioned as AI search features evolve.
