Services · AI Visibility

Get recommended by ChatGPT, Claude, and Perplexity.

llms.txt setup, structured data, and AI-crawler-friendly site architecture — so when your future clients ask an AI assistant "who's the best [X] in [your city]," your business is in the answer.

(01) — Overview

AI-Visibility Optimization, done right.

Search is changing. When a business owner asks ChatGPT or Claude for a recommendation, the assistant doesn't read your Google Ads or your homepage hero — it reads structured signals your site exposes about what you do, where you are, and who you serve. Most business sites expose none of these signals correctly, and their competitors are already picking up the AI-referred traffic.

We fix that in one week. We add a properly-structured `llms.txt` file at your site root, layer in Schema.org markup that AI crawlers actually consume (Organization, LocalBusiness, Service, Person), tune your semantic HTML so summaries generated by AI reflect your positioning, and hand you a discoverability audit report showing what changed and how to measure it over the next 90 days.

One-time flat fee, no retainer, no lock-in. This is what we did for our own site — you can see the result at nagrosolutions.com/llms.txt.

(02) — What we build

Scope of work.

llms.txt file — properly structured, hosted at your domain root
Organization + LocalBusiness Schema.org markup
Service + Person structured data for each practice area and team member
AI-crawler-friendly page structure and semantic HTML pass
Google Business Profile alignment (NAP consistency check)
AI-visibility audit report (current state + 90-day monitoring plan)
llms-full.txt for content-heavy sites (blog + knowledge base included)
IndexNow submission to Bing, Yandex, and Copilot for immediate re-crawl
(03) — Tech stack

What we build with.

Standards
  • llms.txt v1.0
  • llms-full.txt
  • Schema.org / JSON-LD
  • Open Graph
  • IndexNow
Targeted crawlers
  • GPTBot (OpenAI)
  • ClaudeBot (Anthropic)
  • PerplexityBot
  • Google-Extended (Gemini)
  • Applebot-Extended
Validation
  • Google Rich Results Test
  • Schema Markup Validator
  • llms.txt validator
  • GPTBot access check
  • Manual ChatGPT / Claude query test
Monitoring
  • Search Console AI referrer split
  • GA4 custom AI-source segment
  • 90-day query-recommendation tracking
(04) — Process

How we work.

01

Discovery + baseline

One-hour session to understand your business, practice areas, and target queries. We baseline your current AI-visibility by asking ChatGPT + Claude + Perplexity the queries your future clients would use — recording what they say today.

02

Structured signals

We write your llms.txt, add the Schema.org markup, tune your semantic HTML, and align Google Business Profile if you have one. All deployed to your live site.

03

Re-crawl + verify

IndexNow ping to Bing/Yandex/Copilot. Manual re-query of ChatGPT + Claude + Perplexity 48-72 hours later to confirm the changes propagated.

04

Audit report + handover

Written PDF report — what was changed, what to measure, and a 90-day monitoring plan you can run yourself. If AI-visibility hasn't measurably improved by day 90, we do a free second pass.

(05) — Selected work

Real projects, this discipline.

(06) — FAQ

Questions we hear often.

Flat fee $500 for existing Nagro Solutions clients (any project we've delivered in the last 24 months). $1,500 standalone for new engagements. No retainer, no lock-in, one-time payment.
One week from kickoff to delivery. Discovery on day 1-2, implementation on day 3-4, verification on day 5-7, report handed over on day 7.
The signals we deploy are real standards published by OpenAI, Anthropic, and other model providers — llms.txt, Schema.org, structured HTML. What we cannot promise is that ChatGPT will recommend you specifically over a competitor with better reviews or a more established brand. What we CAN promise is that when an AI assistant is choosing between businesses like yours, yours will be in the eligible set — because right now, most sites are not.
Related but separate. Traditional SEO optimises for Google's search algorithm. AI-visibility optimises for the parsers that GPT-4, Claude, Perplexity, and Gemini use to summarise the web. The two overlap in about 40% of the work — good structured data helps both — but AI-visibility has its own protocol layer (llms.txt) that classic SEO doesn't address.
Even better. AI-visibility slots on top of existing SEO — llms.txt and enhanced Schema.org markup live alongside your existing meta tags, sitemap, and robots.txt. Zero disruption to current rankings.
One-time setup, with a 90-day monitoring plan you can run yourself. If your site content changes materially (new services, new locations, rebrand), a refresh is another $300. For most businesses, one setup lasts 12-18 months before it needs updating.
Ready to start

Let's talk about your project.

Every consultation includes a free custom concept for your project — no cost, no obligation. Book a 30-minute call at a time that works for you.