With multiple AI search platforms competing for users, which should you prioritise for your optimisation efforts? A practical framework for making the right call.
The AI search landscape in 2026 is fragmented. ChatGPT, Perplexity, Gemini, Claude, and Bing Copilot all have meaningful user bases, and each operates differently. Optimising for all of them simultaneously is ideal — but resources are finite. When you need to prioritise, which platform should come first?
This guide gives you a framework for making that decision, a summary of each platform's architecture and signals, and the practical reality of how much platform-specific versus cross-platform effort is actually involved.
Before diving into platform specifics, an important framing point: the majority of what gets you cited in one AI search platform gets you cited in all of them. The common signals are:
These shared foundations mean that you do not need five separate optimisation programmes. You need one strong foundation with platform-specific adjustments at the margins.
With that said, the platforms do differ in important ways that affect both your priority order and the specific tactics you layer on top.
Architecture: Primarily training-data-based, with optional web retrieval (ChatGPT Plus with browsing, API configurations).
User base: Largest in the market — 200m+ weekly active users. Broad demographic profile from students to enterprise professionals. The "default" AI tool for many users.
Strengths for brand visibility: Enormous user base means high potential reach. Training data influence is long-lasting once established.
Weaknesses: Base model does not retrieve in real-time — influence depends on training data, which updates infrequently. Hard to see rapid results from content changes.
What moves the needle: Third-party editorial coverage in high-authority publications (shapes training data), consistent entity presence across the web, strong Google rankings (correlated with what web crawlers see).
Architecture: Real-time retrieval (RAG-based). Every query triggers web retrieval; answers are synthesised from current content with citations shown.
User base: Smaller but growing rapidly. Disproportionately professional/research-oriented users — analysts, academics, knowledge workers. Higher purchasing power profile.
Strengths for brand visibility: Real-time retrieval means content changes can affect citations quickly. Citations generate actual referral traffic.
Weaknesses: Smaller user base than ChatGPT. Retrieval bias toward established domain authorities.
What moves the needle: Strong Bing rankings (Perplexity uses Bing's API for retrieval), fresh content, direct Q&A structure, fast server response, PerplexityBot allowed in robots.txt.
Architecture: Two flavours — AI Overviews embedded in Google Search, and standalone Gemini assistant. Both draw on Google's Gemini models. AI Overviews are the most commercially significant for most brands.
User base: AI Overviews are shown to all Google Search users — the largest potential reach of any AI platform by far. Standalone Gemini is growing but smaller than ChatGPT.
Strengths for brand visibility: AI Overviews appear in Google SERPs, meaning your existing SEO investment directly feeds into Gemini visibility. If you rank well in Google, you are more likely to appear in AI Overviews.
Weaknesses: AI Overviews are selected by Google's algorithm — less predictable than query-time retrieval. Limited transparency into how AI Overviews select sources.
What moves the needle: All your existing Google SEO signals. FAQPage schema and other structured data. High-quality content that Google considers authoritative.
Architecture: Training-data-based, with web access in premium tiers and API configurations. Growing enterprise and developer presence.
User base: Smaller than ChatGPT but with a high-quality professional profile. Strong in enterprise, legal, medical, and research contexts. Developer-heavy usage.
Strengths for brand visibility: Strong in high-consideration, high-trust contexts where expert recommendations matter most.
Weaknesses: Smaller consumer-facing user base limits reach for mass-market brands.
What moves the needle: Credible third-party coverage, specific entity representation, original citable research.
Architecture: GPT-4 based with Bing's real-time search index. Deep integration with Microsoft 365 and Windows.
User base: Enterprise-heavy. Bing has meaningful market share in corporate environments where IT controls browser defaults.
Strengths for brand visibility: Enterprise reach; Bing's index is what Perplexity uses for retrieval, so Bing rankings matter doubly.
What moves the needle: Bing SEO (largely similar to Google SEO), Bing Webmaster Tools verification.
To decide which platform to prioritise, answer these questions:
The most important factor is simple: which platform are your target customers actually using?
If you do not know where your audience is spending their AI time, ask. Add "how did you first find us?" and "which AI tools do you use for research?" to your customer onboarding surveys.
Need fast results? Perplexity is the most responsive platform to content changes because it retrieves in real-time. Improving your Bing rankings and content structure can generate Perplexity citation improvements within weeks.
Can invest for the long term? ChatGPT's training-data-based influence compounds over time but is slow to change. Google AI Overviews benefit from long-standing Google authority.
Run your target queries through each platform and check whether you are currently appearing. The platform where you have the most potential gain — strong enough to be cited but currently missing — is the best immediate focus.
Use a tool like Surfaceable to audit your current presence across all platforms simultaneously, giving you the baseline data to make this decision with evidence rather than intuition.
For most brands without specific audience data pointing elsewhere, the practical priority order is:
AI Overviews have the largest potential reach because they appear to all Google Search users. And critically, the investment required is the same investment you are already making in Google SEO. Strong Google rankings, high-quality content, FAQPage schema, and E-E-A-T signals all feed directly into AI Overview appearances.
Start here because the payoff is multiplied by the scale of Google's user base, and the work is continuous with existing SEO investment.
Perplexity's real-time retrieval makes it the most directly optimisable of the pure AI search platforms. Results from content improvements are visible faster, and Perplexity generates actual referral traffic (unlike base ChatGPT). Its user base is small but highly valuable — knowledge workers and professionals with purchasing power.
Optimise your Bing rankings (often underprioritised), ensure your content structure is direct and Q&A-oriented, and allow PerplexityBot in robots.txt.
Despite its enormous user base, ChatGPT's training-data-based architecture makes it the slowest to respond to optimisation efforts. Build the third-party coverage and entity signals that will influence future training runs, but do not expect rapid returns.
The work here — editorial coverage, entity building, review generation — is the same work that benefits all platforms. Prioritise it for its cross-platform value.
For most general brands, these are tertiary priorities. Exception: if your audience is specifically enterprise (Bing Copilot) or professional/technical (Claude), elevate them accordingly.
In practice, the most efficient strategy is:
The shared foundation is by far the highest-return investment.
Once you are optimising with platform awareness, measure the results by platform. Surfaceable tracks your presence rate and share of voice separately for each AI platform, allowing you to see which platforms are responding to your optimisation efforts and which still have gaps.
Review your platform-specific data monthly. If Perplexity citations are growing but ChatGPT presence remains flat, that is useful signal — your content quality and freshness are working, but your training data coverage needs more third-party editorial investment.
There is no universal "right" platform to prioritise first — it depends on where your audience is, how quickly you need results, and where your current baseline has the most room for improvement.
For most brands, the practical answer is: invest heavily in the shared foundation, prioritise Google/Gemini for scale, Perplexity for speed and B2B/professional audiences, and ChatGPT for long-term training data influence.
Measure your presence across all platforms from the start. Data tells you where to focus better than any framework can.
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