Optimize · Optimization Studio
Give machines a version of your story they can't misread.
An AEO audit that grades the page the way an engine reads it, an optimizer agent that drafts the fix, and generators for JSON-LD, llms.txt and answer-first FAQ — all grounded in your own crawled content.
Page score
64
of 90
Passing
7
of 11 checks
Fixes ready
4
copy-paste code
- AI crawlers can read the site14/14
- llms.txt present0/10
- sitemap.xml present6/6
- JSON-LD structured data16/16
- FAQ schema for answer retrieval0/8
- Descriptive <title>6/6
Checks
Generated from your own pages
{
"@type": "Organization",
"name": "‹from the page›",
"offers": […],
"sameAs": […]
}— llms.txt · site root
— FAQ · answer-first pairs
— entities · crawled content only
11
AEO checks, weighted
4
apply-ready assets per page
0
invented facts in generated schema
copy · paste
deployment method
Anatomy
How it's built, part by part.
01Site audit
Graded the way an engine reads.
Access, structured data, meta and content — eleven checks, weighted by what actually moves retrieval. Failing checks become items in the Action Center.
Access · 30
- AI crawlers can read the site
- llms.txt present
- sitemap.xml present
Structured · 24
- JSON-LD structured data
- FAQ schema for answer retrieval
Meta · 15
- Descriptive <title>
- Meta description
- Canonical + Open Graph
Content · 21
- Clear heading hierarchy
- Answer-first / Q&A structure
- Substantive content
02Content optimizer
An agent that drafts the fix, not a score that shrugs.
A page and a target query in. A citability score, rewritten title and description, an answer-first heading outline and a FAQ JSON-LD block out — all from what the page already says.
assets · apply-ready
- title — a rewritten <title>
- meta_description — a rewritten meta description
- headings_outline — an answer-first H2/H3 outline
- faq_jsonld — a ready-to-paste FAQPage JSON-LD block
findings · grounded in the page
- entities_present / missing — the entities an engine would expect on this page
- recommendations[] — each with a why and a priority
- faq[] — question/answer pairs drawn from the page
You review and publish. Nothing is written into your site by Synthic.
03Structured layer
JSON-LD, llms.txt, FAQ — from your page, never from a template.
Organization, WebSite, Product and FAQPage schema ready for <head>; a complete llms.txt for the site root; your content rewritten as answer-first blocks. A field the page doesn't state is left out rather than guessed.
What you get
Three things, done properly.
01
AEO site audit
Eleven weighted checks across access, structured data, meta and content, scored into one grade with the detail behind each.
02
Content optimizer agent
A page plus a target query in; a rewritten title, description, heading outline and FAQ JSON-LD out — grounded in the page.
03
Schema & llms.txt generator
Organization, WebSite, Product and FAQPage schema, a full llms.txt, and answer-first rewrites from your crawled content.
Specification
Inputs, outputs, cadence, evidence.
- Site audit
- 11 checks across access, structured data, meta and content; weights sum to a 0–100 grade
- Optimizer inputs
- A page URL and a target query
- Optimizer outputs
- Rewritten title and meta description, answer-first heading outline, FAQ JSON-LD block, prioritised recommendations
- Generators
- Organization / WebSite / Product / FAQPage JSON-LD, a complete llms.txt, answer-first FAQ rewrites
- Grounding
- Every field comes from the crawled page; a fact the page doesn't state is omitted
- Deployment
- Copy and paste — Synthic never writes to your site
The answer is being written right now.
Run a live audit and see exactly where you stand — before your competitor does.
- Free first audit
- No credit card
- Live engine data
- Your data stays yours
- Cancel anytime