Blog
Reviews, reputation, and customer experience
Practical, compliance-aware guides on how to ask for reviews, recover unhappy customers, and turn everyday interactions into a stronger brand.
Customer Experience
·
9 min read
Transactional NPS: how to measure satisfaction at the moment it matters
Relationship NPS tells you how customers feel about your brand. Transactional NPS tells you whether the thing that just happened went well — while you can still do something about it. Here is how to run it, and how to turn promoters into reviews without crossing compliance lines.
Read the guide →
AI Search & GEO
·
11 min read
Schema markup for reviews & local business: a GEO primer
Structured data is the difference between a page a crawler can read and a page a machine can understand. This is a practical, code-first walkthrough of the Schema.org types that matter for reviews and local business — what each one does, a valid JSON-LD example, the mistakes that get markup ignored or penalized, and why the same markup that earns rich snippets in classic search is now the primary thing AI answer engines lift when they cite you.
Read the guide →
AI Search & GEO
·
9 min read
Survey timing doesn't just fix experiences — it feeds your AI-visible reputation
A 4.6-star rating built on reviews from eighteen months ago reads very differently to an AI answer engine than a 4.6 built on reviews from last week. The survey timing discipline that makes your CSAT and NPS data trustworthy is the same discipline that keeps your review stream fresh enough for ChatGPT, Google's AI Overviews, and Perplexity to trust it. This is the mechanism, and how to build it.
Read the guide →
AI Search & GEO
·
9 min read
What is AEO/GEO? A guide for local businesses
When someone asks ChatGPT "best dentist near me" or Perplexity "which HVAC company should I use," your business either gets named or it doesn't — and a blue link ten results down won't save you. Here is what AEO and GEO actually mean, how they differ from classic SEO, and what local businesses can do about it.
Read the guide →
AI Search & GEO
·
10 min read
How ChatGPT, Perplexity & AI Overviews pick which businesses to cite
AI answer engines don't rank pages the way a search engine does — they retrieve passages, cross-check them against other sources, and cite whichever page said it most clearly and most recently. Here is the actual mechanism, not the hype, and a practical checklist for making your business the one that gets cited.
Read the guide →
AI Search & GEO
·
9 min read
Review velocity as an AI citation signal: why steady beats spiky
Google has rewarded recent, consistent reviews over stale, one-time bursts for years. As AI answer engines like ChatGPT, Perplexity, and Google's AI Overviews reshape how people find businesses, the same underlying signals — recency and consistency — are the ones these systems reweight toward. Here's what review velocity is, why it has always mattered, and why it's worth building deliberately now.
Read the guide →
Compliance & AI Search
·
10 min read
The FTC Fake Review Rule and AI-cited reputation risk: why gaming reviews now has two regulators
The FTC's Fake Review Rule made review gating, review buying, and fake testimonials federal violations with real civil penalties. But a second enforcer has quietly shown up: AI answer engines and shopping agents that synthesize trust signals across the web and are getting good at spotting the exact patterns the FTC bans. Here is what's prohibited, what it costs, and how to stay clean with both.
Read the guide →
AI Search & GEO
·
10 min read
Building an llms.txt for your business site: a real-world case study
llms.txt is a plain-markdown file at your site root that gives AI crawlers and agents a curated index of your most important pages — written for language models, not search bots. Adoption by AI vendors is still inconsistent, but the file costs almost nothing to build and pays off the moment a model does read it. Here is how Vouch's own llms.txt is structured, and how to build yours.
Read the guide →
AI Search & GEO
·
10 min read
Multi-location reputation and GEO: making every location citable by AI
AI answer engines don't cite 'the brand' — they cite a specific location that can answer a specific question. If your 40 locations share one aggregated rating, one templated page, and one corporate review count, an AI system has nothing distinct to cite for location #27. Here is how to fix that at the data layer, not just the page layer.
Read the guide →