Discussion AI Platforms Strategy

Beyond ChatGPT and Perplexity - which emerging AI platforms should we be optimizing for?

FU
FutureReady_Dan · Digital Strategy Director
· · 142 upvotes · 11 comments
FD
FutureReady_Dan
Digital Strategy Director · January 10, 2026

We’re seeing the AI platform landscape fragment. Not sure where to invest.

Current platforms we track:

  • ChatGPT (largest audience)
  • Perplexity (fastest growing)
  • Google AI Overviews (integrated with search)

Emerging platforms we’re watching:

  • Claude (Anthropic)
  • Gemini (Google’s other AI)
  • Microsoft Copilot
  • Industry-specific AI tools

Questions:

  • Which platforms are worth optimizing for now?
  • Do optimization strategies differ by platform?
  • How do you prioritize limited resources?
  • What’s coming that we should prepare for?

Share what you’re seeing with different platforms!

11 comments

11 Comments

MP
Multi_Platform_Pro Expert AI Visibility Strategist · January 10, 2026

I track visibility across 8 AI platforms. Here’s the priority framework.

Platform priority matrix:

PlatformUser BaseCitation ImportancePriority
ChatGPTVery LargeHighCritical
Google AIVery LargeHighCritical
PerplexityGrowing FastVery High (explicit)Critical
ClaudeLargeMedium-HighHigh
GeminiLargeMediumMedium
CopilotLarge (enterprise)MediumMedium
OthersVariesLowMonitor

The 80/20 rule:

80% of your effort should go to ChatGPT, Google AI, and Perplexity. They cover most of your audience.

20% for emerging platforms and monitoring.

Universal optimization:

Good news: Most optimization is platform-agnostic:

  • Quality content
  • Authority signals
  • Structured data
  • Topic expertise

Do this well and you’re covered on most platforms.

PD
Platform_Differences · January 10, 2026
Replying to Multi_Platform_Pro

Platform-specific nuances:

ChatGPT:

  • Heavy Wikipedia influence
  • Training data matters
  • Consistency over time important
  • Authority signals strong

Perplexity:

  • Real-time retrieval
  • Reddit heavily cited (6.6%)
  • Recency crucial
  • Explicit source attribution

Google AI Overviews:

  • Traditional SEO signals apply
  • YouTube integration
  • Local business data
  • Knowledge panel connection

Claude:

  • Quality and nuance valued
  • Complex topics handled well
  • Long-form content works
  • Less real-time than Perplexity

Gemini:

  • Google ecosystem integration
  • Multimodal capabilities growing
  • Enterprise focus

Optimize for the universal, tune for the specific.

IS
Industry_Specific Healthcare Marketing · January 10, 2026

Industry-specific AI platforms matter:

In healthcare, we also track:

  • Medical AI assistants
  • Clinical decision support
  • Patient-facing health AI

These have different requirements:

  • Even stricter E-E-A-T
  • Peer-reviewed source preference
  • Medical credential verification
  • Regulatory compliance signals

For B2B tech:

  • Developer-focused AI tools
  • Code assistance platforms
  • Technical documentation AI

For finance:

  • Financial AI assistants
  • Investment research AI
  • Regulatory-compliant AI

The pattern:

Vertical-specific AI platforms often have stricter authority requirements than general platforms.

Recommendation:

Identify AI tools your customers actually use. That’s where to focus.

EW
Emerging_Watcher · January 9, 2026

What’s emerging that you should watch:

Voice AI (growing fast):

  • Alexa with AI integration
  • Siri with AI
  • Voice search in cars

Specialized research:

  • Academic AI tools
  • Legal research AI
  • Market research AI

Regional platforms:

  • Baidu AI (China)
  • Yandex AI (Russia)
  • Local alternatives in other markets

Enterprise AI:

  • Workplace assistants
  • Internal knowledge AI
  • Customer service AI

The preparation:

You can’t optimize for everything. But:

  1. Monitor where your audience is moving
  2. Ensure fundamentals are solid (works everywhere)
  3. Quick-pivot capability for emerging winners
RA
Resource_Allocation Expert · January 9, 2026

How to allocate limited resources:

The allocation model:

ResourcePrimary (60%)Secondary (25%)Monitor (15%)
ContentChatGPT + Google AIPerplexityOthers
MonitoringTop 3 platformsClaude + GeminiEmerging
OptimizationUniversal approachPlatform tuningExperiments

For a $10K/month budget:

  • $6K: Core content (works everywhere)
  • $2.5K: Platform-specific adjustments
  • $1.5K: Monitoring all platforms + experiments

The efficiency principle:

Universal optimization gets 80% of results. Platform-specific tuning gets 15%. Emerging platforms get 5% (but important for future).

Don’t spread too thin. Master the big 3 first.

FD
FutureReady_Dan OP Digital Strategy Director · January 7, 2026

Great insights. Here’s my platform prioritization:

Tier 1 (Must optimize):

  • ChatGPT - largest user base
  • Google AI Overviews - integrated with search
  • Perplexity - fastest growing, explicit citations

Tier 2 (Should optimize):

  • Claude - quality-focused users
  • Gemini - Google ecosystem
  • Microsoft Copilot - enterprise users

Tier 3 (Monitor and prepare):

  • Industry-specific AI
  • Voice AI platforms
  • Regional platforms

Strategy:

  1. 80% effort on universal optimization
  2. 15% on platform-specific tuning
  3. 5% on emerging platform monitoring

Universal fundamentals:

  • Quality content with unique value
  • Credentialed authors
  • Structured data
  • Topic authority
  • Technical accessibility

Platform-specific tweaks:

  • Perplexity: freshness, Reddit presence
  • ChatGPT: Wikipedia connection
  • Google AI: traditional SEO signals

Monitor with Am I Cited across all platforms.

Thanks everyone for the perspective!

Have a Question About This Topic?

Get personalized help from our team. We'll respond within 24 hours.

Frequently Asked Questions

Which AI platforms matter most for visibility?
Currently ChatGPT (largest user base), Perplexity (growing fast, explicit citations), and Google AI Overviews (integrated with search) are most important. Claude, Gemini, and Microsoft Copilot are growing and worth monitoring.
Should you optimize differently for each AI platform?
Core principles are universal (quality content, authority, structure), but platforms have preferences. Perplexity values recency and Reddit presence. ChatGPT leans on Wikipedia. Google AI uses traditional SEO signals. Focus on fundamentals with platform-specific tuning.
Which new AI platforms should marketers watch?
Watch industry-specific AI tools in your sector, voice assistants with AI integration, specialized research platforms, and regional AI search engines in your markets. The landscape is evolving rapidly.

Track All AI Platforms

Monitor your visibility across ChatGPT, Perplexity, Claude, Gemini, and emerging AI platforms.

Start Free Trial See Features

Learn more