GEO comparison

The LLMs that matter
for SEO and GEO in 2026.

Not all AI assistants weigh the same. Measuring only ChatGPT misses half the map. This is the full comparison of the 8 that matter, with market share, audience, and how to optimize for each.

TL;DR

  • ChatGPT dominates with 60-70% of usage. Showing up here is critical, not optional.
  • The "second tier" — Claude, Perplexity, AI Overviews — concentrates 25-35% of remaining use with highly qualified audiences (B2B, founders, professionals).
  • Each LLM reads different sources: Wikipedia + Reddit + papers for Claude/Perplexity, Bing + LinkedIn for Copilot, Maps + Reviews for Gemini. Your strategy must cover all four categories.
  • For local B2C: prioritize ChatGPT + AI Overviews + Gemini. For B2B SaaS: ChatGPT + Claude + Perplexity. For large corporate: add Copilot.
  • Mistral and DeepSeek are still niche in 2026 — ignorable except for very specific cases.

Why measuring only ChatGPT leaves you half-blind

Most companies that start taking GEO seriously make the same mistake: measure only ChatGPT. It's understandable — it's the best-known assistant — but it's also an incomplete picture of the market.

ChatGPT leads conversational AI use with around 55% of web visits among assistants (Similarweb, 2026). The rest is split across assistants with different audiences, different information sources, and different citation behaviors — Gemini is already near 27%. Optimizing only for ChatGPT is like doing SEO only for mobile and ignoring desktop.

The four categories you need to cover:

  1. Generalist conversational: ChatGPT — the big one, mass audience, defines the category.
  2. AI-powered search: Perplexity + AI Overviews — cite sources with links, highly qualified audience.
  3. Analytical / technical assistant: Claude — favored by developers, founders, analytical professionals.
  4. Ecosystem-integrated assistants: Gemini (Google), Copilot (Microsoft) — massive distribution but utilitarian use.

If your brand shows up in ChatGPT but not in Perplexity, you're losing B2B professionals. If it shows up in Claude but not in AI Overviews, you're losing Google traffic. Cross-LLM coverage is the metric that matters — not appearing in only one.

If you're new to GEO, I'd recommend starting with what GEO is and how to measure if you appear.

The 8 AI assistants that matter: full comparison

Estimated market share for 2026, primary audience, strengths and weaknesses, sources each one reads, how to optimize and strategic priority.

ChatGPT

OpenAI
Audience

Mass consumer + generalist professional

Strength

Most-used by a wide margin. Its answer defines the category.

Weakness

Trained model with cutoff — needs active search for recent info.

Sources it reads

Wikipedia, Reddit, niche forums, mainstream press, academic publications + real-time Bing web search

How to optimize

Brand mentions on Reddit and Wikipedia + well-attributed answerable content + aggressive schema.org

Strategic priority

Critical — not appearing here means invisibility for 65% of GEO traffic

Perplexity

Perplexity AI
Audience

B2B professionals, founders, journalists, consultants

Strength

Cites sources with direct links — the LLM with highest click conversion.

Weakness

Smaller audience but infinitely more qualified.

Sources it reads

Real-time web + Reddit + Twitter/X + academic papers + tier-1 outlets

How to optimize

Authoritative content in outlets Perplexity indexes + X presence + GitHub presence if applicable

Strategic priority

High for B2B SaaS, consulting, and professional services. Medium for B2C.

Claude

Anthropic
Audience

Developers, tech founders, analytical professionals

Strength

Excellent nuance — captures brand differentiation better than ChatGPT.

Weakness

No active web search in most usage — depends on its training data.

Sources it reads

Training datasets + Common Crawl + books + technical documentation + public GitHub

How to optimize

Open technical documentation + GitHub content + Wikipedia contribution + public papers/whitepapers

Strategic priority

High for tech B2B SaaS, developer tools, specialized consulting.

AI Overviews

Google
Audience

Anyone using Google (universal in EN since 2024)

Strength

Integrated directly into SERPs — captures users without requiring habit change.

Weakness

Appears intermittently — Google doesn't show AI Overview for every query.

Sources it reads

Classic SEO algorithm + Gemini analyzing top results + schema.org structured data

How to optimize

Well-done classic SEO + aggressive schema.org + answerable content that clearly answers the query

Strategic priority

Critical — directly affects Google organic traffic.

Gemini

Google
Audience

Google Workspace users, Android, general consumer who prefers the Google ecosystem

Strength

Deeply integrated with Google services (Gmail, Docs, Maps, search).

Weakness

Slower adoption than ChatGPT — Google users tend to search before they converse.

Sources it reads

Real-time Google search + Google data (Maps, Reviews, YouTube) + training datasets

How to optimize

Google Business Profile + Google reviews + YouTube presence + classic SEO

Strategic priority

High for local B2C (Maps + Reviews weigh a lot) and for businesses with Android audience.

Copilot

Microsoft
Audience

Microsoft corporate professionals (M365), Windows users, Edge browser

Strength

Massive distribution via Windows 11 + Edge + Office 365 integration.

Weakness

Conversational use still limited vs ChatGPT — more utilitarian than exploratory.

Sources it reads

Bing search + Microsoft Graph (if authenticated) + LinkedIn (same owner) + training datasets

How to optimize

Bing Webmaster Tools + IndexNow + LinkedIn presence (Person authority) + good schema

Strategic priority

Medium. High if your customer is a large enterprise with M365 enterprise.

Mistral / Le Chat

Mistral AI
Audience

European companies focused on digital sovereignty + European public sector

Strength

European model with privacy and data sovereignty emphasis.

Weakness

Adoption still limited outside France. Grows slowly.

Sources it reads

European datasets + Common Crawl + focus on European-language content

How to optimize

Content in European languages + presence in European outlets + documented GDPR compliance

Strategic priority

Medium for companies selling to the European public sector. Low for the rest in 2026.

DeepSeek

DeepSeek (China)
Audience

Specific technical developers + companies with Asian presence

Strength

Highly capable open-source models + extremely low cost.

Weakness

Near-zero adoption by standard consumer or enterprise in Western markets.

Sources it reads

Common Crawl + Chinese datasets + GitHub

How to optimize

Only relevant if your business touches the Asian market or technical developers.

Strategic priority

Very low for Western markets. Ignore unless specific cases.

How to prioritize by industry

For local B2C (clinic, restaurant, retail)

Priority: ChatGPT (1st) + AI Overviews (2nd) + Gemini (3rd). Your customer searches local on mobile — the Google ecosystem (AI Overviews + Gemini + Maps + Reviews) weighs a lot. ChatGPT rules conversational queries like "best X in my city?".

For B2B SaaS or tech

Priority: ChatGPT (1st) + Claude (2nd) + Perplexity (3rd). Your customer is a founder, CTO or technical decision-maker. They use Claude for deep analysis, Perplexity for pre-purchase research and ChatGPT for everything else. The three together cover almost 100% of the B2B tech decision process.

For professional services (lawyers, tax advisors, consultancies)

Priority: ChatGPT (1st) + Perplexity (2nd) + AI Overviews (3rd). Your customer researches providers before signing. Perplexity with its direct citations is particularly influential because it lets them verify sources — ideal for services where trust decides.

For enterprise B2B with large corporate customers

Priority: ChatGPT (1st) + Copilot (2nd) + Claude (3rd) + Perplexity (4th). In large corporates with M365 enterprise, Copilot already has significant adoption. Cover all four if your sales cycle is long (>3 months) and your customer is a 500+ employee company.

For public sector or European with sovereignty focus

Priority: ChatGPT + Claude + Mistral + AI Overviews. Add Mistral if your customer is a European administration or a company with an explicit focus on digital sovereignty. In 2026 it remains niche, but it's growing.

The AI assistant market is moving fast. Today's shares are not the shares 18 months from now. Trends to watch:

  1. AI Overviews will gain ground as it expands to every Google query. Gartner estimates traditional search volume will drop 25% by 2026 (Gartner, 2024), with AI answers the main driver.
  2. Perplexity will grow in B2B as professionals get used to its direct citations. Its native-advertising monetization model will also make it more ubiquitous.
  3. Claude will gain share among founders and developers thanks to the quality of its analytical responses. Anthropic is investing aggressively in enterprise distribution.
  4. Copilot will move from 5-8% to 10-15% as Microsoft forces its integration in M365 enterprise.
  5. ChatGPT will see its share erode from 60-70% to 45-55% — still the big one, but no longer monopolistic.
  6. New regional players will appear: Mistral will grow in Europe, Chinese models will reach Asia, Indian models will hit the market. Most Western buyers will keep using the big globals.

The practical conclusion: optimizing for multiple LLMs today is building traffic defense for the next 24 months. Anyone who bets only on ChatGPT will be far more vulnerable when the market rebalances.

How to measure your presence in each LLM

The manual method that applies to the big ones (ChatGPT, Claude, Perplexity, AI Overviews, Gemini):

  1. 20 representative questions for your industry (without mentioning your brand)
  2. Run each question against every assistant you want to measure
  3. Three rounds per question (models vary)
  4. Note in how many responses your brand appears
  5. Calculate citation rate per LLM and compare

For a full step-by-step methodology: how to know if you appear in ChatGPT (the method works for any assistant).

Manually it's about 4-6 hours per full measurement. To repeat it monthly, tools like our free audit automate the cross-LLM process and keep a history.

Free cross-LLM audit

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