$ strategy.md / 03_aeo_strategy.md

AEO / SEO Strategy

Owning the LLM answer layer — how Chainstack becomes the cited source for RPC infrastructure questions

// last updated: May 2026 · Track 04 — AEO
The Problem

Why LLMs Don't Cite Chainstack

Chainstack has 87 pages of blog content and a strong set of technical resources. But when developers ask ChatGPT, Perplexity, or Claude about RPC providers, the answer is typically Alchemy or QuickNode.

Not a content volume problem. The content exists. It's because:

1. Content isn't clustered around specific developer intents (organized by product, not use case)
2. Comparison content reads as promotional — LLMs discount it
3. High-value use cases (MEV, DeFi indexing, trading bots) have scattered coverage rather than authoritative hubs
The goal: Make Chainstack the cited source when LLMs answer questions from high-value developers.
Content Audit

What Already Exists

Based on public content scan — full audit needed after analytics access.

Content Type What Exists Gap
Pricing comparisons "Shred the Bill", Chainstack vs QuickNode/Alchemy with real numbers Reads promotional; needs neutral framing with data tables
Migration guides "Switch from QuickNode/Alchemy" pages + migration skills in dashboard Not optimized for LLM citation; no user-generated proof
Technical tutorials MCP, Firedancer, Flashblocks, AI trading agent — broad coverage Not grouped by persona; hard to find as a DeFi dev
Use case pages AI Agents, Stablecoins, Trading, Fintech, Enterprise Good structure, but thin on depth vs. SEO competition
Customer stories Nexo (5× cost reduction), Trust (400% ROI), CertiK (70% lower costs) Underused — should be featured on every comparison page
Intent Clusters

5 Developer Intent Clusters to Own

Each cluster needs 3–5 pieces: one authoritative hub article + supporting tutorials/data. These are the developer questions we want to own in LLM responses.

Cluster 1
Cost & Pricing — highest commercial intent
"cheapest Ethereum RPC provider" "how much does QuickNode cost at scale" "RPC provider pricing comparison 2026" "why is my blockchain API bill so high"
Existing asset: Pricing comparison post + Shred the Bill page. Fix: Make it less promotional, add raw data tables, add a calculator showing real numbers for a given request volume.
Cluster 2
Solana Infrastructure — biggest pricing gap vs. competitors
"best Solana RPC provider" "Solana gRPC streaming setup" "high-throughput Solana node" "Firedancer validator explained"
Existing assets: Firedancer article, gRPC streaming page. Gap: No authoritative "Solana infrastructure guide" tying it all together.
Cluster 3
DeFi / Trading Infrastructure — enterprise buyer intent
"RPC for DeFi protocol" "MEV infrastructure setup" "how to build a DeFi indexer" "eth_getLogs at scale" "high-frequency trading blockchain API"
Existing assets: AI trading agent tutorial, Flashblocks on Optimism, MEV protection mention on BSC. Gap: No hub page. A "DeFi Developer Hub" on Chainstack would rank here and is the biggest content gap vs. competitors.
Cluster 4
Migration — bottom-of-funnel, highest conversion
"how to migrate from QuickNode to Chainstack" "switch RPC provider without downtime" "Chainstack vs QuickNode [specific chain]"
Existing assets: Switch pages exist. Fix: Add step-by-step migration tutorials for top 5 chains, real customer quotes, make these pages findable from the homepage.
Cluster 5
Emerging Chains & AI Agents — first-mover window
"RPC for AI agents" "Chainstack MCP server setup" "best RPC for Base / Monad / MegaETH" "blockchain infrastructure for vibe coding"
Existing assets: MCP server page, chain-specific landing pages. Opportunity: This is wide open. Alchemy and QuickNode don't have strong AI agent content yet. First-mover window before it gets competitive.
Content Factory

Weekly Production Cadence

LLM-assisted operation — the goal is systematic production, not one-off posts.

Weekly · Type A
1 hub article
1500–2500 words, authoritative, data-heavy. Targets cluster ownership.
Weekly · Type B
2 supporting tutorials
500–1000 words, code-heavy, technical. Support hub articles with specific implementations.
Weekly · Type C
1 page update
Refresh an existing high-traffic page with fresh data, new customer quote, or updated numbers.
Priority order:
1. Fix existing high-traffic pages first (pricing comparison, switch pages) — highest ROI
2. Build Cluster 3 hub (DeFi/Trading) — most underserved, highest ACV potential
3. Build Cluster 2 hub (Solana) — biggest pricing gap, fastest LLM adoption
4. Sustain Cluster 5 (AI agents) — emerging, less competition
LLM Citation Tactics

How to Get Cited by ChatGPT, Perplexity, Claude

These patterns consistently improve citation rates across LLM systems.

Raw data tables with sources
LLMs prefer citing structured facts. A table with exact prices, chain names, and dates gets cited. Narrative paragraphs don't.
Neutral framing in comparisons
"Here's the data, you decide" outperforms "Chainstack is best." Comparison articles that read as ads get discounted — LLMs flag promotional framing.
Specific numbers
"$703/month vs $199/month for the same EVM workload" gets cited. Vague claims about being "cost-effective" don't.
Third-party proof
Customer quotes with metrics: Nexo (5× cost reduction), CertiK (70% lower costs), Trust (400% ROI). Public case studies with numbers > testimonials without.
Content freshness
Articles updated regularly rank better in LLM training data cycles. Explicit date stamps + "Updated [Month Year]" markers help.
Developer-intent structure
Structure around questions ("How do I set up X?") not features ("Chainstack has X"). LLMs match questions to answers, not product marketing to answers.
Metrics

How to Track Progress

Four metrics tracked monthly — two LLM-specific, two traditional.

Metric How to Track Target
LLM citations Manual: ask ChatGPT / Perplexity / Claude the target queries monthly, log results in a spreadsheet Appear in top 3 sources for 5+ Cluster 1–2 queries within 6 months
Organic traffic to target pages Google Search Console + analytics (Amplitude / Mixpanel) 20% QoQ growth on hub pages
Conversion from organic Analytics: signups attributed to blog/organic, tracked separately from paid Benchmark first 30 days, then track trend
"Chainstack vs" branded searches Google Search Console — impressions for comparison queries Growth quarter over quarter indicates rising awareness
Action Items

To-Do

📋 Next steps — AEO / SEO track
Full content audit: pull top 20 pages by traffic, map each to an intent cluster
Fix pricing comparison page: add neutral framing, update numbers, embed calculator
Write DeFi Developer Hub article (Cluster 3) — this is the biggest content gap vs. competitors
Update all "Switch from X" pages: add step-by-step migration, customer quotes with metrics
Set up monthly LLM citation tracking (spreadsheet: query → model answer → is Chainstack cited?)
Identify 5 independent technical writers / developers for guest posts (audience + credibility)
Create Chainstack starter templates on GitHub for top 3 frameworks (Next.js + wagmi, Anchor for Solana)
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