Stop Optimizing for All Six AI Search Engines

Why "all six" is the wrong starting question

Stop optimizing for all six AI search engines and pick the two or three that match your audience — most teams should commit to ChatGPT plus one vertical engine (Perplexity for B2B SaaS, Claude for dev tools, Gemini for consumer reach, Grok for news, DeepSeek for China) and skip the rest until they prove themselves. The six engines look like one channel from a distance, but up close they have different user bases, query mixes, and citation surfaces, and chasing all of them splits a small content team across six prioritization fights that mostly aren't worth winning. This post lays out a prioritization framework: how each engine cites, who actually uses it, and which brand types should care about which.

The six engines look like one channel from a distance. Up close, they are six products with different user bases, different query mixes, and different ways of showing sources. Optimizing for all of them in parallel splits a small content team across six prioritization fights. Most of those fights aren't worth winning.

The right starting question is narrower: which two or three engines matter for the audience we actually want? Pick those. Skip the rest until they prove themselves.

This post is a prioritization framework, not a feature comparison. We'll cover how each engine cites, who actually uses it, and which brand types should care about which.

Citation surface: how each engine actually shows sources

The "citation surface" is where and how an engine displays the URLs behind its answer. This is where rankings live. Here's how the six differ:

• ChatGPT search: inline links inside the answer text plus source cards on the right rail. OpenAI launched dedicated web search with inline citations in October 2024, and citations now appear by default for queries the model decides need fresh data.
• Gemini / Google AI Overviews: a top-of-SERP snapshot with linked publishers above the traditional ten blue links. Google began rolling AI Overviews out to U.S. Search users in May 2024.
• Perplexity: the most aggressive citation surface of the six. Every answer lists numbered source links by default; inline citations are not optional.
• Claude: web search arrived in 2025. Anthropic added web search with grounded inline citations, and the model is conservative about which queries trigger it.
• Grok: weights real-time X (Twitter) heavily. Traditional web citations exist but compete with quoted posts. News and opinion queries dominate.
• DeepSeek: source visibility is the weakest of the six, particularly for non-Chinese-language queries.

Same query, very different surfaces. A query like "best Stripe alternatives for marketplaces" run against Perplexity returns six numbered citations and a tidy comparison table. The same query against Grok pulls in X threads from founders and product managers, with traditional web sources mixed in unevenly. Same intent, different channel.

Reach and intent profile per engine

Citation surface tells you how you'd be cited. Reach and intent tell you who you'd be cited to.

The pattern: ChatGPT and Gemini are roughly horizontal across audiences. The other four are vertical — they over-index on a specific user type. A B2B SaaS team will see disproportionate Perplexity traffic. A devtool gets cited in Claude more than its market share would suggest. A news desk shows up in Grok in ways that don't translate elsewhere.

Priority matrix: which engines matter for which brand type

Use this as a starting point, then validate with your own measurement (next section).

• Consumer e-commerce → ChatGPT + Gemini first. Both have the broadest reach for product and shopping queries.
• B2B SaaS → Perplexity + ChatGPT first. Perplexity over-indexes on buyers doing vendor research.
• Developer tools → Claude + Perplexity first. Both attract the technical-evaluator query mix.
• News and public-affairs brands → Grok + Gemini first. Real-time matters and Grok's X weighting is unique.
• China-facing brands → DeepSeek matters; ChatGPT is partially blocked. Different game entirely.
• Everyone else → deprioritize Grok and DeepSeek. Re-evaluate in a quarter.

A concrete example: a B2B billing platform serving North American mid-market should put Perplexity first (where its buyers do vendor research), ChatGPT second (broadest reach for "Stripe alternatives" queries), Gemini third (passive exposure), and skip Grok and DeepSeek entirely for now. That's a focused 2–3 engine strategy, not a thinly-spread six-engine one.

Measuring citations without unified analytics

There is no Search Console equivalent for any of these engines. You cannot log into ChatGPT and see "your domain was cited 412 times this week."

What you can do, in roughly an afternoon a week:

1. Build a prompt panel of 30–50 queries that match buyer intent for your category. Lock the wording.
2. Run the panel weekly across your priority engines. Log which sources each engine cites.
3. Track citation share — what percentage of runs cite your domain at all. Then track position: first cited, last cited, in passing, as primary source.
4. Capture referral logs for the engines that send referral traffic. ChatGPT and Perplexity do; Gemini partially does; Grok and Claude mostly don't.
5. Set baselines per engine. Don't average. A 30% citation share in Perplexity and 5% in Gemini is two separate stories, not a 17.5% blended one.

A realistic week: Monday, run the panel manually (about two hours for 50 prompts across three engines). Tuesday, log into your analytics and pull referral traffic from chat.openai.com and perplexity.ai. Wednesday, write a one-paragraph delta against last week's baseline. Done.

Third-party trackers exist; GEON tracks per-engine citation share so you don't run the prompt panel manually forever. Whatever you use, the rule holds: measure each engine on its own axis. The original GEO paper from Aggarwal et al. formalized citation-visibility metrics and showed source-attribution prompts could lift citation share by up to 40% — but the lift only shows up when measured per engine, not blended.

What to skip, and when

Skipping is the underrated half of GEO strategy.

• Grok: skip unless you're a news, sports, or public-affairs brand. The X-weighted citation surface doesn't reward most B2B or e-commerce content.
• DeepSeek: skip unless you serve China-market audiences. Source visibility is weak globally and the user base is concentrated.
• One-off citations: a single Perplexity citation in a single run is not a signal. Sample size matters. Set a threshold ("cited in at least 30% of weekly runs across this 50-prompt panel") before declaring you "rank."
• Quarterly re-evaluation: engine behavior shifts faster than traditional SEO did. ChatGPT's citation density changed twice in 2025 alone. Plan to revisit the priority matrix every 90 days.

If you're a small team starting GEO from zero today, pick two engines from the matrix above. Build a prompt panel. Measure for four weeks. Then decide whether to add a third. The brands that win at GEO this year aren't the ones tracking all six — they're the ones who picked the right two and went deep. For deeper guides on each individual engine, see our blog.