Conservatory is the first live product in the Symphony ecosystem. It pairs deterministic website analysis with Strauss AI explanation layers so teams can review structure, accessibility, SEO, and AEO signals, then move supported fixes into safe GitHub draft PR workflows.
Symphony already runs four live instruments - Anthology, Conservatory, Strauss AI, and Unison Metrics - while founders access to Conservatory opens in controlled batches.
Built for teams shipping across search, AI discovery, and modern development workflows:
Anthology, Conservatory, Strauss AI, and Unison Metrics already form the first live Symphony layer: deterministic core analysis, AI guidance, scoring, and a review-first remediation path teams can actually trust.
Improve discoverability with launch-safe checks for metadata, structure, canonical coverage, and schema signals pulled directly from fetched HTML.
Use Strauss AI to explain patterns, summarize risk, and help frame the next action while deterministic findings remain the source of truth for what actually needs to change.
Track each report with Unison Metrics and move from findings to accepted patches and draft PRs without breaking the operating flow.
Conservatory keeps analysis, Unison Metrics scoring, Strauss AI explanation, export, and draft PR creation inside one launch-safe workflow instead of spreading them across disconnected tools.
Keep deterministic analysis, Strauss AI context, report export, Auto-Fix review, and GitHub draft PR creation in one path.
Founders scope: analyze -> review -> patch -> PR
Analyze pages and generate deterministic fixes for supported issues without auto-merging code.
Human review stays in control
Conservatory uses Strauss AI where it is most useful today: explanation, prioritization, and workflow guidance around supported deterministic fixes.
Truth first, expansion second
Review-first remediation for supported issues. Generate draft pull requests with proposed changes before anything reaches production.
Auto-PR integration
Access is being opened in controlled batches while infra, GitHub sync, and remediation validation close, so the product can earn trust before broad distribution.
Controlled launch, sharper signal
Conservatory is the first live wedge in the Symphony ecosystem: useful on its own today, but already pointing toward a larger product system built around Anthology, Unison Metrics, and Strauss AI.
Flagship now, platform laterConservatory starts with a real, narrow product surface: deterministic analysis, Strauss AI guidance, Unison Metrics scoring, and review-first remediation for teams that need a credible AI-native workflow now.
Paid upgrades try to hand off directly to the active billing provider, with founder support only as a backup if checkout needs help. Annual billing keeps the same plans and saves 20%.
See deterministic website reports before you unlock GitHub-backed remediation.
No credit card required.
No checkout required
Unlock the full review-first workflow with Auto-Fix, draft PRs, and white-label reporting.
$948/year billed annually — Save $240/year
Self-serve checkout
Keep the same core workflow as Starter, but with more volume and more room for repeated reporting.
$2,868/year billed annually — Save $720/year
Self-serve checkout
Use Conservatory with a staged rollout, higher volume, and direct coordination for onboarding and approvals.
Everything you need to know about the current launch-safe product and where the Symphony ecosystem is heading next.
Have something specific in mind?
Submit a question and the team will reply by email with the best current path for founders and launch validation.
Conservatory is Symphony's first live product: a web intelligence and remediation platform that audits structure, accessibility signals, SEO, and AEO readiness, then prepares reviewable fixes and GitHub draft PRs for supported issues.
AEO in Conservatory focuses on the structural, metadata, and schema signals that help your website and brand become easier to surface across modern answer engines. When teams implement Conservatory's audits, recommendations, and remediation paths, they improve the foundation for stronger visibility in ChatGPT, Gemini, Perplexity, Claude, and other AI-driven discovery surfaces.
Strauss AI is the public name for the AI layer around the Symphony ecosystem. In Conservatory today, it acts as the explanation and prioritization layer around deterministic findings, powered by Strauss AI and the Symphony proprietary model surface.
Yes. The free plan includes 3 analyses per month and remains free to start. No credit card is required before you decide to move from report review into paid remediation workflows.
No. You can run analyses, inspect reports, and export findings without connecting GitHub. GitHub becomes useful when you want Conservatory to prepare review-first patches and draft PRs for supported fixes.
Free gives founders a launch-safe starting point with 3 analyses per month, report review, and branded exports. Starter opens higher monthly volume, first-workflow access to Auto-Fix, draft PR generation, and custom logo branding for client-facing report surfaces.
Unison Metrics is the weighted 0-100 report score across semantic structure, accessibility, SEO technical, AEO readiness, and supporting signals. It is the clearest example of the Unison Metrics layer already live inside Conservatory.
For supported issue types, Conservatory prepares review-first patches and draft GitHub pull requests. You review and approve before anything is merged.
Free plan analyses
Starter analyses per month
Premium analyses per month
Auto-merge by default
Run a launch-safe analysis, inspect the report, and move supported fixes into your GitHub workflow with Unison Metrics scoring and Strauss AI guidance layered on top of the deterministic core.
Founders workflow focuses on deterministic findings first, Strauss AI guidance second, and review-first remediation throughout.