Website optimization
Make your website easier for Google and AI to trust.
Cheers audits the owned website details that shape local and AI discovery: crawlability, schema, robots, llms.txt, title and meta structure, content depth, NAP, review links, performance, and whether the site exposes strong service and location pages.
For marketing, SEO, web, and operations teams that need a practical bridge between technical website fixes and local demand outcomes.
Operating view
What Cheers shows the team.
Cheers brings field activity, reviews, website gaps, and AI answers into one view, so marketing and operations can decide what to fix by location.
Core checks
Check crawlability, metadata, H1s, schema, robots, llms.txt, AI crawler access, and performance.
Service + location
Find whether the website exposes the service and market pages buyers and crawlers need.
Clear files
Generate crawler and structured-data recommendations such as llms.txt and JSON-LD guidance.
Product path
From the tap to the recommendation.
NFC badges and QR flows capture the customer moment. The rest of Cheers shows whether it produced a review, strengthened the location, and changed how the market sees the business.
Technical audit
Scan crawl access, status codes, metadata, performance, robots, sitemap, and page structure.
Structured data
Check JSON-LD coverage and recommend Organization, LocalBusiness, WebSite, and page schemas.
AI crawler files
Assess llms.txt and AI crawler policy so answer engines get concise context about the business.
Content gaps
Surface thin pages, missing NAP details, missing review links, and weak service-location coverage.
The gap
AI assistants cannot recommend what the website fails to explain.
Reviews and citations matter, but the owned website still needs to be crawlable, structured, and specific. If important pages are thin, schema is missing, crawler files are unclear, or local services are buried, AI systems have less reliable evidence to use.
Give web and SEO teams a prioritized list of technical fixes.
Make the site more crawlable, structured, and machine-readable.
Improve the owned pages available to search engines and AI assistants.
Connect website fixes to local content, reviews, citations, and AI visibility tracking.
High-trust moments
Where Cheers fits the work already happening.
The strongest review request is not a blast from corporate. It is the ask that happens after a real service moment, with attribution back to the team that created the trust.
Weekly audit
Run a recurring check after site releases, CMS edits, and agency updates.
Schema fix
Identify missing or invalid structured data before crawlers have to infer the entity.
Crawler policy
Make robots.txt, sitemap, and llms.txt clear enough for search and AI systems.
Page gap
Find missing service, location, or service-area pages that weaken local relevance.
Owned surface
Clean up the source AI systems should be able to trust.
The website is the owned source for services, markets, contact paths, and customer evidence. Cheers turns the audit into a practical queue.
Title, meta, H1, word count, NAP, review-link, and page-depth checks.
Service and location page discovery.
Performance and script-footprint checks.
Machine readability
Make entity facts explicit instead of implied.
Structured data, crawler files, and internal links help search and AI systems understand the business without guessing from scattered copy.
JSON-LD validation and schema coverage recommendations.
Robots.txt, sitemap, and AI crawler policy checks.
llms.txt recommendations for concise AI context.
Execution
Turn audits into fixes, not screenshots.
Cheers connects website gaps to reviews, local content, and AI visibility so teams know which fixes are most likely to matter.
Prioritized issue list by severity and category.
Generated file recommendations for crawler and schema updates.
Follow-up monitoring after releases and content changes.
Where to start
Start with the locations where the evidence is weakest.
Run the website optimization audit for the primary domain.
Fix critical crawl, schema, robots, and llms.txt issues first.
Add missing service and location pages where the site cannot explain the market.
Use local content generation to fill useful page gaps with reviews and operator context.
Track AI visibility and cited sources after the owned site becomes cleaner.
FAQ
Does website optimization replace a web or SEO agency?
No. It gives internal teams and agencies a clearer diagnostic queue for local search and AI visibility work.
Why does llms.txt matter?
It gives AI systems a concise, canonical summary of the business, services, service area, and useful pages. It does not replace strong pages, schema, or reviews, but it makes the owned context easier to parse.