ChatGPT loses market share to Gemini & Claude – impact for businesses

What Happened

The latest quarterly AI usage study from ComScore reports that ChatGPT’s share of AI prompts has dropped sharply from 70% to 50%. In contrast, Google’s Gemini and Anthropic’s Claude each grabbed roughly 20% of the prompt market, marking the first time OpenAI no longer dominates the AI‑search landscape.

This data, released on Firstpost.com, points to a broader trend: users are spreading their reliance across multiple LLMs for everything from quick answers to in‑depth research. While overall AI query volume continues to rise, the prompt share—i.e., the proportion of user queries routed to a particular model—has become more fragmented.

Key Details

• Prompt share shift: ChatGPT fell from 70% to 50%, while Gemini and Claude each rose to about 20%.
• Overall growth: Total AI‑generated queries grew 18% YoY, indicating a healthy expansion of the market.
• Geographic spread: Gemini’s gains are strongest in North America and Europe, whereas Claude is seeing rapid adoption in Asia‑Pacific.
• Use‑case mix: Gemini leads in code‑related prompts, Claude excels in conversational assistance, and ChatGPT remains the go‑to for creative writing.
• Implications for SEO: Search‑engine‑like tools such as Perplexity, Google AI Overviews, and emerging AI‑search platforms now pull content from multiple LLMs, not just OpenAI.

What It Means For Your Business

If your local or small business relies on AI tools to surface your website, the evolving prompt landscape impacts you in three concrete ways:

1. Diversify your AI‑optimisation – Content that ranks on ChatGPT may not appear on Gemini or Claude. Each model interprets signals differently and pulls from distinct data sets.

2. Broaden citation strategies – AI‑search tools pull authoritative sources. Listing your business across Google Business Profile, Bing Places, Apple Maps, and emerging AI‑specific directories boosts your chances of being cited by any LLM.

3. Focus on structured data – Schema markup, FAQ sections, and clear metadata help all models extract key facts about your products or services.

Actionable Steps for VisibilityAI Users

Here are practical actions you can take today:

• Audit and enrich schema – Review your existing pages for schema.org markup (LocalBusiness, Service, Review, FAQ) and add any missing tags.
• Build AI‑friendly FAQs – Draft answers that mirror the natural‑language questions Gemini and Claude users are asking about your niche.
• Test across LLMs – Use Perplexity.ai, Gemini Playground, and Claude’s free sandbox to see how your site appears in generated responses.
• Publish credible content – Release case studies, press releases, and local news stories that AI models can reference as trustworthy sources.
• Track prompt share trends – Set up alerts on ComScore or similar analytics tools so you can react quickly to shifting user preferences.

Looking Ahead

The AI ecosystem remains in its infancy, and as Gemini, Claude, and other emerging LLMs grow, the old “one‑model‑fits‑all” SEO strategy will become a relic. Businesses that now invest in cross‑model visibility—structured data, diversified citations, and continuous monitoring—will secure a stronger foothold in the AI‑first search era.

Stay tuned with VisibilityAI for quarterly updates, best‑practice guides, and hands‑on workshops that keep your business discoverable across every AI platform.

Why It Matters:

The shift in AI prompt share directly influences which large‑language model powers the answers users see when they ask a question. For local businesses, that means the difference between appearing in a ChatGPT‑generated list of recommended services or being omitted entirely because the query is answered by Gemini or Claude. Because AI‑search tools such as Perplexity, Google AI Overviews, and emerging AI assistants pull data from all major LLMs, relying solely on OpenAI‑centric SEO tactics leaves a sizable portion of potential customers untapped.

VisibilityAI helps businesses get cited by these AI tools, but the strategy must evolve. Structured data, consistent NAP information across platforms, and a strong presence in AI‑friendly directories become essential. By diversifying citation sources and tailoring content to the varied retrieval methods of Gemini and Claude, businesses can maintain high visibility regardless of which model a user prefers. In short, the new multi‑LLM reality turns AI‑search optimization into a broader, more resilient marketing discipline.

FAQs

• Will my business lose traffic if I only optimize for ChatGPT?

Yes. As Gemini and Claude capture more prompts, they will surface different sources. Without optimization for these models, you risk missing a growing share of AI‑driven traffic. Each model selects its own set of citations, so a site that only ranks in ChatGPT may be invisible to Gemini and Claude users.

• How can I test how my site appears in Gemini or Claude?

Use the free playgrounds offered by Google (Gemini) and Anthropic (Claude) to enter typical user queries and see the generated answers. Look for citations, snippets, or direct links to your content. You can also cross‑check results on Perplexity.ai.

• Is structured data still important with multiple LLMs?

Absolutely. Structured data provides a clear, machine‑readable format that all major LLMs can ingest, improving the likelihood of accurate citations and featured snippets across platforms.