AEO AID
Generate a 30/60/90 answer-engine plan across schema, pages, FAQs, and proof blocks.
AI discovery operations
SurfaceGX scans the public surface, tests how AI engines understand the brand, and turns findings into repair work your team can ship.
A deterministic baseline before model interpretation.
01 / deterministic scan
AI discovery readiness score
Surface-scoped guidance files detected
Visible homepage words
Crawler discovery files
Independent AI surfaces do not have a scoped priority-page guide.
Entity schema
No Organization, WebSite, or sameAs graph detected.
Crawler access
Public pages are reachable, so repair can start immediately.
02 / multi-model visibility
Major engines naming the brand for target questions
Hallucination risk from weak official context
Prompt families to repair by category and intent
"best AI discovery platform for B2B SaaS"
Brand absent; category language is not explicit enough.
Weak citation base
AI systems cite generic product pages instead of proof and methodology pages.
Positioning drift
Models flatten the offer into SEO tooling instead of AI discovery repair.
03 / repair path
Generate a 30/60/90 answer-engine plan across schema, pages, FAQs, and proof blocks.
Prioritize crawler, citation, and generative-engine fixes for the pages AI actually reads.
Draft deployable page copy, answer blocks, metadata, and structured-data recommendations.
Move work from open to in repair, pending retest, and verified across the customer program.
04 / integration layer teaser
SurfaceGX packages technical exposure, crawler discovery, and content patch recommendations as implementation-ready work — scoped to the AI surfaces where each fix applies.
Search Console signals help validate indexing, sitemap hygiene, query impressions, and page eligibility after repairs land.
GA4 ties visibility repairs to engaged sessions, assisted conversions, landing pages, and source-level movement.
05 / prove lift
Baseline readiness
After first repairs
Target state
SurfaceGX