Engine deep-dive

How Claude handles company recommendations

Claude is the most conservative AI when it comes to recommending specific companies. Understanding why helps you work with its system instead of against it. Based on how Claude retrieves and weights sources.

Claude has two modes, and which one you get is the caller's choice

Ask Claude "best MSP in Ontario" with nothing else switched on and it answers from training weights: it has not checked your website, read your Clutch reviews or seen your latest post. That is the mode almost every article about Claude and AEO describes, usually as though it were the whole engine.

It is not. Anthropic ships a web search tool on the API, and when it is turned on Claude behaves like a retrieval engine: we forced it on our own probe on 2026-08-21 and the same class of question came back built on live pages, with the source URLs attached. One answer we measured cited a Clutch directory listing and three round-up articles, and every firm it named came out of those four pages. None of that is reachable from training weights.

So the practical question is never "does Claude browse". It is which mode is in front of your buyer. A developer in Cursor, an enterprise deployment wired to MCP servers, an internal tool built on the API with search enabled: all of those can read your site today. A plain training-weights call cannot. Your content has to earn both, which is the rest of this page.

Sources Claude leans on from training data

Anthropic has published limited information about Claude's training data composition. Based on how Claude behaves, it appears to weight these sources for B2B company recommendations:

Claude's conservative recommendation style

Claude tends to be more cautious than ChatGPT about naming specific companies. Where ChatGPT lists "Top 5 MSPs in Ontario," Claude often responds with "Here are some factors to consider when choosing an MSP" without naming anyone.

This is by design. Anthropic has said in public that Claude aims to be helpful without being misleading, and recommending specific companies it cannot verify carries risk.

For you, this means: when Claude DOES recommend a company, the signal is stronger. And the bar for getting recommended is higher, which means fewer competitors are there. The white space in Claude is even larger than in ChatGPT.

Actions that move Claude visibility

1. Build your Wikipedia presence. If you do not have a Wikipedia page, create a Wikidata entry at minimum. Include company type, founding year, headquarters, key services.
2. Be active on Reddit. Authentic answers in relevant subreddits. Not promotional posts. Genuine, helpful responses that happen to mention your expertise.
3. Get covered in industry publications. A mention in CRN or Channel Futures is worth more than 10 blog posts on your own site for Claude visibility.
4. Structure your website content. It pays on both timelines: a clean page is what a search-enabled Claude fetches and cites today, and what stands the better chance of landing in training data and being attributed to you later.

What our own scans measured

Claude named the brand in 1.2% of the buying questions we put to it across 46 completed scans, measured on firms that had each run a scan while suspecting they were missing, which is not a random sample of B2B websites.

Read that as a measurement of the first mode, not of the engine. Every one of those scans used a probe that answered from training weights, because that is what the API does unless you force it otherwise, and we began forcing web search on 2026-08-28. We have deliberately not moved the number, because we do not yet have enough scans on the other side of that change to state a new one honestly, and inventing one would be worse than publishing an old one with its date on it. Expect it to move when we do.

ChatGPT managed 1.7% and Gemini 0.4% on the same suspect-selected reports. Treat both of those with care rather than as evidence about the engines: Gemini's is a floor depressed by faults of our own, and ChatGPT's was measured before we forced that engine to search the web on 2026-08-18, so it describes a retired probe. The interesting difference is therefore not how often Claude names somebody. It is what happens when it does.

In July we asked four engines to recommend managed IT providers across 15 North American regions, then resolved every name to a live website. 2 of the 129 names Claude produced in that managed IT fieldwork could be corroborated, against 101 of the 257 from Perplexity. Six firms recommended in the study have no trace of existing anywhere we could check, and all six of them were Claude's.

None of that makes Claude a bad engine to be named by. It makes Claude an engine you earn through corroboration rather than through publishing volume, because the mode most buyers meet still answers from what it absorbed, and because the mode that does read the live web reaches for directories and third-party round-ups before it reaches for you.

Read the MSP AI Visibility Report 2026, which shows the method and the names we could not verify.

How we count, because the denominator does the work

These rates cover buying questions only, the ones a buyer types when they are choosing a vendor and do not yet know who you are. We leave out questions that contain the company's own name, deliberately. Across the same 46 reports every engine answers a name-in-the-question probe with that company 82% to 100% of the time, so folding those in lifts the headline to about 10% for the field and 19% for the leader. We published that flattering version on this page until 2026-08-12 and have corrected it. The buyer who already knows your name is not the buyer you are missing, and a number that counts them is measuring your own marketing back at you.

What you get, and what it costs

Claude is one of the 6 engines every plan queries, including the free one. Engines are not plan-gated here. What a plan changes is how many questions you get per scan, how often the scan runs, and whether we draft the pages that close the gaps it finds.

Rule is portfolio level and sales-assisted. Full pricing · How the scan works