Beyond ChatGPT: Get Recommended by Claude and Gemini

Search "how to get recommended by AI" and every result is really about one assistant. The advice industry has quietly decided that AI visibility means ChatGPT visibility, and the other engines are rounding errors.

The numbers say otherwise. In Goodie's 2026 AI Search Traffic Report, ChatGPT's share of measurable B2B AI referrals fell to 62.6% while Claude reached 18.5% — up from 1.4% just eight months earlier. Nearly one in five AI-referred B2B visitors now arrives from an engine almost nobody is optimizing for. That's not a rounding error. That's an open lane.

The blind spot in AI visibility advice

Here's why "just optimize for ChatGPT" fails as a strategy: your buyers don't use one assistant, and the assistants don't read the same internet. Each engine builds its answers from a different pipeline — a different search index, different crawlers, different citation habits. A page that ChatGPT cites weekly can be invisible to Claude because a lazy robots.txt rule blocks Anthropic's bots, or underweighted by Gemini because it ranks on page three of Google.

The good news cuts the same way. Because so few companies optimize beyond ChatGPT, the per-engine work is uncontested. You don't need to outrank a thousand competitors in Claude's sources — most of them haven't checked whether Claude can see their site at all. (For the broader picture of how fast this channel is growing, see our roundup of AI search statistics for startups.)

How do you get recommended by Gemini?

Gemini grounds its answers in live Google Search results, so the fastest route to Gemini brand visibility is the Google ranking you already earn. Google's own documentation is explicit: when Gemini decides a question needs fresh information, it generates Google searches, reads the results, and composes its answer with citations drawn from them.

That makes Gemini the engine where classic SEO carries over most directly — far more than for ChatGPT, which runs on its own search stack. Practically:

• Your Google rankings are your Gemini rankings, roughly. If you rank on page one for "best [category] for [audience]," you're in the pool Gemini synthesizes from. If you don't, no amount of AI-specific tuning fixes it.
• Target question-shaped queries, not just keywords. Gemini fires off searches phrased like the user's question. Pages with a question as the heading and a direct answer in the first sentence map cleanly onto that.
• AI Overviews adjacency is a leading indicator. The same grounding machinery powers Google's AI Overviews. If your pages get pulled into Overviews, you're demonstrably answer-shaped enough for Gemini too.

One check worth thirty seconds: make sure your robots.txt doesn't block Googlebot anywhere that matters, and think twice before blocking Google-Extended — Google's control token for its AI models — if Gemini visibility is a goal.

How do you get recommended by Claude AI?

Claude recommends companies it discovers through its own web search and crawlers, so allow Anthropic's three bots and publish clear, factual, answer-shaped pages. Claude is the engine where a silent technical mistake most often costs you everything, because Anthropic runs three separate crawlers with three separate jobs:

• ClaudeBot collects content that can contribute to model training — this is how Claude "knows" your brand without searching.
• Claude-SearchBot builds the index behind Claude's web search. Block it and you're out of Claude's search results entirely.
• Claude-User fetches pages live when a user's question requires them. Block it and Claude can't read your site even when it wants to cite you.

Plenty of sites blocked "ClaudeBot" wholesale during the 2024–25 crawler panic and never revisited the decision. If that's you, Claude is recommending your competitors by default. Beyond the bots, note that Claude's search doesn't simply mirror Google — TechCrunch found Claude's web search appears to be powered by Brave Search, an independent index. So a Google-only view of your visibility can miss what Claude actually sees.

Content-wise, Claude rewards the plainest version of good: factual pages that state what you do, who it's for, and what it costs, without marketing fog. Claude is cautious about recommendations and leans hard on verifiable claims — pages with concrete specifics and named sources get cited; pages of adjectives don't.

What about ChatGPT?

ChatGPT still matters most — it's the majority of AI referrals — and it has its own stack: GPTBot for training, OAI-SearchBot for search, ChatGPT-User for live fetches, all independently controllable in robots.txt. The playbook is close enough to Claude's that most work transfers, but the citation patterns and source preferences differ. We've written the full treatment in how to get cited by ChatGPT, and the fourth engine worth your attention has its own guide too: Perplexity SEO.

The core that works on every engine

Before any engine-specific tuning, run the crawler check. It takes ten minutes and it's the highest-leverage ten minutes in AI visibility:

With the pipes open, the same three assets feed every engine:

• Answer-shaped content. Question headings, a direct answer in the first sentence or two, specifics and numbers after. Every engine's synthesis step favors pages it can quote cleanly.
• Consistent brand-plus-category co-mentions. Engines recommend you for a category when your name and that category appear together, everywhere — your site, your bios, your listings. One positioning, repeated verbatim.
• Presence in the third-party sources all engines read. Review sites, comparison pages, Reddit and community threads, industry roundups. When an assistant cross-checks "best X" it looks for consensus across sources you don't own. Being absent there caps you on every engine at once.

This is the discipline usually called GEO, and our full GEO/SEO guide covers each asset in depth.

The monthly four-assistant check

You can't manage visibility you never measure, and no analytics tool sees inside an AI answer. So run the manual version, monthly, in twenty minutes: take the same five buyer questions — "best [category] for [audience]," "[you] vs [competitor]," "how do I solve [problem you solve]" — and ask them in ChatGPT, Claude, Gemini, and Perplexity. Log four things per engine in one spreadsheet: were you mentioned, what was said, who else was named, and which sources were cited.

Two months of this beats any dashboard. You'll see which engine finds you and which doesn't, and the cited-sources column tells you exactly where to earn a mention next. It's the same loop our SEO specialist runs continuously for FirstOrg customers — but the manual version costs nothing and starts today.

The close is the good news: this is not four content strategies. It's one system — pages written once, shaped as answers, published under a consistent positioning, with every crawler allowed in — read by four engines. The companies winning AI recommendations in 2026 aren't writing separate content for each assistant. They're writing once, structuring well, and letting the engines disagree about everything except them.