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November 12, 2024
9 min read

How to identify which AI recommends your business

ChatGPT, Claude, Perplexity, Gemini – each AI has its own preferences. Learn how to track which assistants recommend your brand.

Not all AI assistants are equal

Most companies think of 'AI' as just ChatGPT. But reality is more complex:

  • ChatGPT (OpenAI) has 200+ million weekly users
  • Claude (Anthropic) is preferred by tech professionals
  • Perplexity combines AI with real-time web search
  • Gemini (Google) is deeply integrated into the Google ecosystem

Each system has different training data, algorithms and priorities. A brand can be top 3 on ChatGPT but invisible on Claude.

The major AI assistants compared

ChatGPT (OpenAI)

Most widespread

Largest user base, strong in consumer & business applications.

Strengths: Broad knowledge, good conversation, plugins/GPTs
Weaknesses: Outdated training data, sometimes hallucinates
Prefers to recommend: Well-known brands, widely discussed products

Claude (Anthropic)

Tech & Business

More precise, safer, popular with developers and analysts.

Strengths: Accuracy, long contexts, fewer errors
Weaknesses: More conservative, less 'creative'
Prefers to recommend: Tools with strong documentation, B2B software

Perplexity

Real-time Search

Combines LLM with live web search, always current.

Strengths: Current info, cites sources, fact-based
Weaknesses: Less conversational, shorter answers
Prefers to recommend: Brands with strong news presence, high domain authority

Gemini (Google)

Google Integration

Deeply integrated into Google services.

Strengths: Google data, multi-modal, YouTube integration
Weaknesses: Less adopted than ChatGPT
Prefers to recommend: Brands with strong Google ranking and reviews

'Your brand can be #1 on ChatGPT – and invisible on Claude. That's why you need multi-model tracking.'

Why different recommendations?

The differences come from:

  • 1.

    Different training data

    ChatGPT was trained on different texts than Claude. What ChatGPT 'learned', Claude may not know.

  • 2.

    Different cutoff dates

    Newer brands have better chances with models that have more recent data.

  • 3.

    Algorithms & bias

    Each model has built-in preferences – OpenAI prioritizes safety, Anthropic accuracy, Google factual correctness.

  • 4.

    Real-time vs. static knowledge

    Perplexity searches live, ChatGPT uses only training data. This leads to completely different recommendations.

A practical example: CRM software

Let's take the question: Which CRM should I use for a 50-person team?

ChatGPT answers:

Popular options are:

  1. Salesforce (enterprise standard)
  2. HubSpot (marketing + sales)
  3. Pipedrive (sales-focused)

Focus on well-known, established brands

Claude answers:

For 50 people I recommend:

  1. Attio (modern UI, API-first)
  2. Folk (collaborative CRM)
  3. Close (for sales teams)

Newer, developer-friendly, less mainstream

Perplexity answers:

Based on current reviews (2024):

  1. Salesforce (4.4★ on G2)
  2. Zoho CRM (4.3★ on Capterra)
  3. HubSpot (4.5★ on G2)

Data-driven, with sources, review-based

Point of Truth: Three completely different recommendations. If your brand is only visible on ChatGPT, you lose Claude and Perplexity users.

How to use AI Recommendation Tracking

With art8 you can track which AI assistants recommend your brand – and which don't.

This helps you:

  • Identify gaps

    'We're good on ChatGPT, but Claude doesn't know us'

  • Prioritize resources

    'Perplexity users are our target – we need to be visible there'

  • Adapt strategies

    'Claude prefers developer content – we need more technical docs'

  • Spot trends

    'Gemini is gaining relevance – we should strengthen Google optimization'

Which AI model matters most?

The answer depends on your audience:

B2B SaaS (Developer Tools)

Claude + ChatGPT (developers prefer both)

Consumer Products

ChatGPT + Gemini (largest reach)

News & Media

Perplexity (real-time search)

Local Services

Gemini (Google Maps integration)

Ideally you're visible across all major models. With art8 you track all relevant AI assistants simultaneously.

How to improve visibility per model

Each AI model has its own 'preferences'. Here's what you can do:

For ChatGPT:

  • Lots of content (blogs, case studies, FAQs)
  • Social proof (reviews, testimonials)
  • Mentions in major publications

For Claude:

  • Technical documentation
  • API docs and developer guides
  • Precise, factual product descriptions

For Perplexity:

  • High domain authority (backlinks)
  • Current news presence
  • Structured data (Schema.org)

For Gemini:

  • Google My Business optimization
  • YouTube content
  • Google Reviews

The future: Even more AI models

The AI landscape is evolving rapidly. New players are emerging:

  • Meta AI (Llama-based)
  • Microsoft Copilot (in Windows, Office, Edge)
  • SearchGPT (OpenAI's search competitor)
  • Specialized vertical AI (e.g. healthcare, legal)

Those who only track ChatGPT today will lose oversight of 80% of the AI landscape tomorrow.

Point of Truth

AI Recommendation Tracking is no longer nice-to-have – it's essential.

Only those who understand which AI assistants recommend their brand (and which don't) can optimize effectively.

Track all AI models simultaneously

Discover which AI assistants recommend your brand – with art8.

Start free now
How to identify which AI recommends your business | art8.io