TL;DR

Build-leaning for most teams. AEO/GEO is so new that no end-to-end vendor has achieved category dominance; building a custom agent with Claude Agent SDK or n8n + your own content data, search API integrations, and LLM prompts costs $100–500/mo and scales faster than licensing a $5K+/mo platform that doesn't own your search visibility strategy.

What "build" looks like for this category in 2026

Answer Engine Optimization—tuning content, metadata, and search behavior for LLM-native search (Perplexity, ChatGPT search, Google AI Overviews)—is too young for mature open-source end-to-end solutions. GitHub's SEO and SEM topics surface old plumbing (sitemap generators, robots.txt validators, meta tag utilities), not AEO stacks. The real build path in 2026 is composing an agent that monitors search visibility, generates AEO-optimized content variants, and feeds them back into your publishing pipeline—Claude Agent SDK or OpenAI Agents + MCP connectors to your CMS + a search tracking API (Conductor, Peec AI, or a scraped layer atop Perplexity/ChatGPT search) + 300–500 lines of Python or no-code glue in n8n.

That agent runs on a ~$50–100/mo compute budget (agent SDKs are per-call, not per-seat), owns your content strategy end-to-end, and avoids the vendor lock-in of buying a $10K/mo SaaS that may not survive 2027. Building means you control the feedback loop: search result → content gap → new publish → re-rank within weeks, not quarters.

OSS alternatives

No meaningful end-to-end open-source AEO stack exists. SEO frameworks (Yoast, Screaming Frog) predate LLM search; they optimize for Googlebot metadata, not for Claude and GPT context windows. Building AEO tooling requires real-time LLM search integration and content generation logic tightly coupled to your own publishing cadence—a problem space too new and vertically specific for commodity OSS.

Build with agent platforms

Claude Agent SDK (~$20–500/mo depending on call volume and token spend) Wire a polling agent: fetch your published content, call a search tracking API (Conductor or Peec's public endpoints) to see which content ranks in LLM summaries, use Claude's vision to inspect Perplexity/ChatGPT search UIs, and generate content variants optimized for answer-engine context windows. Store results in a JSON file or Postgres. Add an MCP server to your CMS to auto-publish drafts. ~400 lines of Python, zero infrastructure.

n8n (~$0–50/mo self-hosted or $19+/mo cloud) Visual workflow: scheduled trigger → call Conductor API for search visibility → pass results to OpenAI/Claude node with a prompt ("Rewrite this page for answer engines") → write output back to your CMS via webhook. No code required; works for teams avoiding Python entirely.

OpenAI Agents SDK (~$20–500/mo) Identical to Claude path; tie it to GPT-4o for content generation and analysis. Slightly faster iteration if you're already on OpenAI, but vendor lock-in is symmetrical.

Buy market

Profound (Series C, $154M, Agent-compatible) Bundles content optimization, search visibility tracking, and AI-powered recommendations. Agent-ready API surface. Likely $5K–15K/mo. Mature enough to be enterprise-safe but not yet the category standard.

Conductor (Series Unknown, $211M, Agent-compatible) Search intelligence platform; agent-accessible. Targets mid-market and enterprise SaaS with 50+ page optimization cycles per quarter. $3K–10K/mo depending on volume.

Peec AI (Series A, $29M, API-accessible) Focused on competitive search positioning and dynamic content briefing. Early-stage pricing ($500–2K/mo) but narrower featureset than Profound or Conductor; better for content teams than engineering leaders.

BrightEdge, MarketMuse, seoClarity, Ahrefs are established SEO vendors adding LLM search tracking as a secondary feature, not their core. No public agent APIs; requires manual CSV export → script → re-import. Avoid if your workflow demands real-time optimization loops.

Verdict

Build a custom agent with Claude Agent SDK + n8n for teams under 50 people; buy Profound for teams over 100 or without engineering capacity.

AEO is functionally a content + search visibility feedback loop—exactly what a Claude agent excels at. Building an agent that runs daily search audits, flags content gaps, and suggests rewrites costs $200–500/mo all-in, runs on commodity cloud compute, and lets your content team own the strategy without waiting for vendor roadmap. The build path scales to 500+ pages and 10+ content verticals without hitting a SaaS pricing ceiling.

Profound ($10K+/mo) only makes sense if you're already operating at scale (1000+ optimizable pages, 5+ SEOs, quarterly board reporting), have budget to absorb its feature bloat, and prefer not to maintain code. BrightEdge and Conductor are heavier targets for enterprises; Peec AI is earlier-stage and narrower. For mid-market technical buyers, the agent SDK path is faster, cheaper, and more defensible.