One technical system, broken into the right buying order.
VERIS does not sell disconnected services. It implements one structured system: first make the business readable, then answerable, then easier to corroborate, and finally monitored as AI search changes. One technical layer. Multiple verticals. No generalism.
- Understand what each layer does and when it matters.
- Jump into the exact service page behind each part of the system.
- See how pricing and business type connect to the implementation path.
- The free audit is the entry point before implementation work starts.
The right entry point depends on the problem, not the trend.
You need the technical foundation fixed.
Start with Layer 1 and, when needed, Layer 2. This is where schema, crawler permissions, llms.txt, entity alignment, and extractable answers get repaired.
Start with the audit ->You want ongoing AI visibility work.
Layer 3 and Layer 4 only make sense after the site is readable and answerable. These are ongoing services, not the first purchase.
See maintenance paths ->You want to understand the system before buying.
Use the service detail pages as a technical map. Each page explains what gets implemented and how VERIS checks it afterward.
Read the FAQ ->Each layer answers a different question.
Readable infrastructure
Schema, crawler permissions, llms.txt, and entity alignment so systems can identify the business correctly.
- vSchema markup with the correct type, required properties, and nested entities
- vAI crawler access configuration in robots.txt
- vllms.txt and llms-full.txt deployment
- vEntity alignment with NAP consistency and sameAs linking
- vSitemap validation and submission for Google and Bing
- vCanonical and redirect corrections
Schema Markup
Category-specific schema with required properties validated.
Learn more ->AI Crawler Configuration
Robots directives for relevant OpenAI, Perplexity, Anthropic, and search agents.
Learn more ->llms.txt Setup
Standard and full llms.txt files created and deployed.
Learn more ->Entity Alignment
NAP consistency, sameAs alignment, and entity matching.
Learn more ->Answer extraction
Answer-first page structure, FAQ schema, and extraction formatting so systems can lift useful business details accurately.
- vAnswer-first content restructuring on key pages
- vFAQPage schema with category-specific Q&A pairs
- vStructured extraction formats for pricing, services, hours, and policies
- vEntity anchoring so each page identifies the business clearly
- vSpeakableSpecification for voice-oriented readiness where appropriate
External corroboration
Citation seeding and controlled mention-building on sources AI systems use to cross-check a business.
- vHigh-leverage citation placement on authoritative category sources
- vStructured directory listings beyond Google and Bing
- vSelected authority-source mentions instead of mass PR volume
- vUSP-paired brand mentions on high-signal surfaces
- vCommunity mentions where relevant
This layer is controlled signal seeding, not mass backlink building, social media management, or broad PR volume.
Ongoing monitoring
Track how AI systems cite, describe, and compare the business as content, competitors, and models change over time.
- vAI response tracking across ChatGPT, Perplexity, and Google AI Overviews
- vSentiment monitoring for how the business is characterized
- vCompetitor AI comparison to spot faster-growing citation authority
- vDrift correction when schema, robots.txt, or llms files break
- vMonthly visibility reporting
If this is the problem, this is usually the right layer.
The same service map changes by category.
Every vertical uses the same four-layer structure, but the schema types, extracted answers, and evidence signals differ. Use the vertical pages to see how VERIS adapts the work by business model.
Hotels, B&Bs & Inns
LodgingBusiness details, amenity clarity, and booking signals affect whether a property is easy to describe and recommend.
See vertical detailsRestaurants
Cuisine, menu, hours, reservations, and service details are often visible but not structured well enough for machine extraction.
See vertical detailsSpas & Wellness
Treatment catalogs, price ranges, and booking requirements often live in generic copy instead of reusable data structures.
See vertical detailsMedical & Dental
Specialty, service, and new-patient signals need to be explicit if practices want to match high-intent prompts.
See vertical detailsLaw Firms
Practice area, jurisdiction, and entity clarity matter when AI systems try to match legal intent to a local firm.
See vertical detailsTour Operators
Trip duration, audience fit, itinerary, and departure details shape how well tours can be summarised and compared.
See vertical detailsNot sure which layer you actually need?
The audit identifies what is missing, what order it should be fixed in, and which VERIS service path fits the site.
Get Your Free Audit ->