Global Info Edge
AI Search Visibility

Be the business AI recommends.

Your next customer is asking ChatGPT, Gemini or Perplexity who to hire. We make sure the answer has your name in it — through structured, extractable content, an entity graph the models can trust, and a crawler policy that lets them in.

ChatGPT · Gemini · Perplexity

Engines covered

Citations

Measured in

7 days

Baseline in

In short

Global Info Edge makes brands visible inside AI answers — ChatGPT, Google AI Overviews, Gemini, Perplexity and Copilot. Where SEO earns rankings, generative engine optimisation (GEO) earns citations: we structure your content so answer engines can extract it, build the entity signals that let them identify your brand confidently, and open the crawler path they need. Our own site runs the full playbook, so you can check the work before you buy it.

What is AI search visibility?

AI search visibility is how often, and how accurately, an AI answer engine names your brand when someone asks a question you should be the answer to. It is earned through three things working together: content structured so a model can extract a clean answer, entity signals (schema, consistent naming, sameAs links, third-party corroboration) that let the model identify your business confidently, and a crawler policy that permits AI systems to read the site at all. It is measured in citations and mentions rather than in blue-link positions, because in an AI answer there is often no link to rank for.

What you get

Outcomes, not vibes.

  • Cited by name in AI answers for the questions your buyers actually ask
  • A brand entity the models can identify confidently — not confuse with someone else
  • Organic traffic that holds up as AI Overviews take clicks out of the SERP
  • Answer-first pages that also win featured snippets and voice results
Deliverables

Everything we ship to make it work.

01AI visibility baseline across ChatGPT, Gemini, Perplexity and AI Overviews
02Entity graph build-out — Organization, Person, Service, linked @id references
03Answer-first restructuring: TL;DR, definition blocks, quotable summaries
04llms.txt authored and maintained
05AI crawler policy — GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended
06FAQ and DefinedTerm markup across money pages
07sameAs and third-party corroboration audit
08Prompt-set tracking so citations are measured, not assumed
Process

How we get from kickoff to results.

Step 01

Baseline

We run a fixed set of buying-intent prompts across the major answer engines and record what they say about you today — cited, mentioned, wrong, or absent.

Step 02

Open the door

Crawler policy, llms.txt and indexability first. A model that cannot read the site cannot cite it, and this is where most sites silently fail.

Step 03

Structure the answers

Answer-first blocks, definitions and FAQs written to be lifted cleanly — plus the entity schema that tells a model exactly who is making the claim.

Step 04

Corroborate

Models trust what several independent sources agree on. We align your sameAs profiles, directories and citations so the entity resolves the same way everywhere.

Step 05

Re-measure

The same prompt set, re-run monthly. Citation share is the number we report on — not impressions.

FAQ

Common questions about this service.

What is the difference between SEO and GEO?

SEO earns you a ranking — a position in a list of links. GEO earns you a citation — your brand named inside an AI-generated answer, often with no list at all. They share a foundation (crawlable, accurate, well-structured content) but diverge in what they optimise for: SEO optimises a page for a query, GEO optimises a passage for extraction and an entity for trust.

Is GEO the same as LLMO?

In practice the terms are used interchangeably. GEO (generative engine optimisation) and LLMO (large language model optimisation) both describe getting your brand surfaced inside AI-generated answers. AEO (answer engine optimisation) is the closest relative and focuses specifically on winning the direct answer. The vocabulary is still settling; the work underneath is largely the same.

How do you measure something with no rank tracker?

With a fixed prompt set. We agree the questions a buyer would actually ask, run them across ChatGPT, Gemini, Perplexity and AI Overviews on a schedule, and record whether you were cited, mentioned, described accurately, or absent. It is a sample rather than a census — but run consistently it shows direction, which is what you need to make decisions.

Does blocking AI crawlers protect my content?

It protects it from being read, and therefore from being recommended. If you block GPTBot and PerplexityBot, those systems cannot cite you — but your competitors are still cited, and buyers still ask. Our position is that for a business that sells services, being quotable is worth more than being unquoted.

Can you prove this works before I buy it?

Check this site. Open globalinfoedge.in/llms.txt and globalinfoedge.in/robots.txt, then view the source of any service page and read the JSON-LD @graph. The crawler policy, the entity graph, the answer-first blocks and the FAQ markup are all live and inspectable — we run the playbook we sell.

Ready when you are

Let's build something worth talking about.

30-minute intro call. We'll listen, sketch the shape of a plan, and tell you honestly if we're the right partner — or who else might be.