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AI in B2B Sales 4 min read

AI Visibility for Companies: Why Google Alone Is No Longer Enough

AI search visibility — how B2B companies get found in ChatGPT, Perplexity, and Gemini, and why classic SEO isn't enough for that.

CT
CegTec Team
9 April 2026

→ Comprehensive overview: This article covers the five pillars of AI visibility. You’ll find the full, canonical guide on the topic at AI Search Visibility: How B2B Websites Get Cited in ChatGPT, Perplexity & Co..

The search landscape has changed

In 2024, 35% of B2B decision-makers regularly searched via AI platforms instead of Google. In 2026, it’s over 60%. The question is no longer whether, but when your potential customers will search for solutions like yours via ChatGPT, Perplexity, or Gemini.

The problem: most B2B websites are invisible to AI platforms.

ChannelHow you get foundWhat counts
GoogleKeyword rankings, backlinksSEO, domain authority
ChatGPTTraining data + web searchAuthority, structured data, mentions
PerplexityLive web search + rankingSimilar to SEO, plus source quality
GeminiGoogle index + knowledge graphSchema.org, Google Business Profile
ClaudeTraining data + web searchMachine-readable content, llms.txt

The 5 pillars of AI visibility

1. Machine-readable content

LLMs read your website differently than humans do. What’s clear to humans (nice design, images, animations) is often useless to machines.

What LLMs need:

  • A clear heading hierarchy (H1 → H2 → H3)
  • Running text instead of design elements
  • Concrete statements instead of marketing fluff
  • Numbers, facts, comparisons
  • FAQ blocks with direct answers

What LLMs ignore:

  • Images without alt text
  • JavaScript-rendered content
  • PDFs and downloads
  • Video content without a transcript

2. Structured data (Schema.org)

Schema.org markup helps every AI platform categorize your company:

Essential for B2B:

  • Organization — company name, industry, location, contact data
  • Service — what you offer, for whom, at what price
  • FAQPage — frequently asked questions with structured answers
  • Review / AggregateRating — customer reviews
  • Article — blog posts with author, date, topic
  • ReserveAction — booking option (meeting, demo)

3. llms.txt — your business card for AI

llms.txt is a relatively new standard: a text file at the root of your website that summarizes your company for LLMs.

What belongs in it:

  • Who you are (one line)
  • What you offer (core services)
  • For whom (target audience, industry, size)
  • How to contact you (URL, email, phone)
  • How to book a meeting (booking link or API)

What doesn’t belong in it:

  • Marketing language (“revolutionary,” “disruptive”)
  • A long company history
  • Internal org charts

4. Agent-friendly infrastructure

The next stage: not just getting found, but enabling direct interaction.

OpenAPI spec: Describes your API endpoints in a machine-readable way. This lets AI agents interact directly with your system — checking availability, booking meetings, submitting inquiries.

ai-plugin.json / agent.json: Manifest files that tell AI platforms which actions are possible.

MCP (Model Context Protocol): Enables deeper integration with AI assistants. Ideal for complex interactions (product configurator, inventory queries, consultation).

5. Authority on third-party sites

LLMs preferentially recommend companies that are mentioned on authoritative sources:

  • Comparison portals: G2, Capterra, OMR Reviews
  • Trade media: industry-specific publications
  • Directories: Clutch, GoodFirms
  • Content: guest posts, podcast appearances, studies
  • Social proof: LinkedIn activity, thought leadership

Measuring AI visibility

Unlike SEO, there are (still) no standardized tools. But you can check manually:

Weekly check:

  1. Ask ChatGPT: “Which companies offer [your service] in the DACH region?”
  2. Ask Perplexity: “Comparison of [your category] providers Germany”
  3. Check: are you mentioned? Is the information correct? Is there a link?

Metrics:

MetricHow to measureTarget value
AI mention rateManual queries, 10 relevant prompts>50% mention rate
Information accuracyAre company data, services, contact correct?100% correct
Recommended actionDoes the AI recommend making contact?Yes, with a link/contact path
Competitive shareHow often vs. competitors mentioned?Top 3 in your category

Quick wins: get started in 2 hours

  1. Check Schema.org — do you have Organization, Service, and FAQPage markup? → Schema.org Validator
  2. Create an llms.txt — 20-30 lines, at the root of your website
  3. Expand your FAQ page — the 10 most common customer questions with direct answers
  4. Update your Google Business Profile — Gemini uses this data directly
  5. Test Perplexity — search for your topic and check whether you show up
AI VisibilityAI SearchGEOLLM OptimizationChatGPTPerplexity

Common questions

What is AI search visibility?

AI search visibility describes how well your company is found and recommended by AI platforms (ChatGPT, Perplexity, Gemini, Claude). Unlike with Google, it's not about rankings — it's about whether the AI names your company as a relevant answer to a user query, with correct information, contact data, and a recommended next action.

How does my company get found in ChatGPT?

ChatGPT uses training data plus web search. To get found you need: clear, machine-readable content on your website (structured data, FAQ, Schema.org), an llms.txt file that summarizes your offer for LLMs, mentions on authoritative third-party sites (comparison portals, trade media), and ideally an OpenAPI spec for direct interaction.

What does AI search visibility cost?

DIY with existing SEO skills: €0 (implement Schema.org, llms.txt, FAQ pages yourself). Agency setup: €2,000-5,000 one-time for audit + implementation. Ongoing management with monitoring + content: €500-2,000/month. The ROI: companies recommended in AI search report 15-30% more qualified inbound inquiries.

Do I need AI visibility if I already have good SEO?

Yes. SEO and AI visibility overlap partially (structured data, content quality), but AI platforms have their own requirements: llms.txt, machine-readable API endpoints, agent-friendly content formats. On top of that, Google click-through rates are declining due to AI Overviews — if you don't appear there, you lose traffic even with good rankings.

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