Enterprise procurement has a new first move, and it isn’t Google. A procurement director can open Claude, describe a compliance platform for European manufacturers with SAP dependencies and a six-month rollout ceiling, and receive a vendor shortlist before anyone in sales even knows the deal exists. Page-one rankings for “compliance software” are irrelevant if the buying conversation happens somewhere your SEO never reaches.

The data backs it up. Gartner surveyed 645 B2B buyers in late 2025 and found purchasing teams increasingly running their own research through digital channels and generative AI. The punchline: 69% still involve a sales rep, but as a fact-checker for what the AI already told them, not as a starting point. The shortlist is assembled before the first call gets booked.

Investigate the Questions Behind B2B Recommendations

A keyword like “compliance software” conceals about fifteen different purchasing conversations happening simultaneously inside the same company. IT wants to know about API access and audit logging. Finance is calculating three-year TCO with a magnifying glass. The operations lead cares about one thing: will this break our existing workflow on day one? Each stakeholder asks Claude a different question, and gets a different vendor list back. A claude seo agency can systematically test those variations, audit the content Claude draws from, and identify exactly where your brand drops out of the answer.

Mine your own sales data. Transcripts, RFP pushback, lost-deal post-mortems, competitive intel – that’s where the real prompts live. Build about 30 of them: category head-to-heads, named alternative requests, integration-specific queries, and questions that carry industry constraints nobody outside the sector would think to ask. “Which workforce management tools handle multiple union agreements across UK manufacturing sites?” extracts more signal than “best HR software” ever will.

Test them in Claude under controlled conditions. Log which companies surface, what reasoning accompanies each, which citations appear, and where the model gets the facts wrong. Then repeat the whole exercise ten days later; the cast list rotates more than most teams expect.

The gaps you uncover are usually fixable. Claude ignoring an integration you already support? The documentation is probably buried three clicks deep or locked inside a PDF. Claude describing your enterprise platform as a tool for five-person startups? Your public positioning is doing the damage, not the model.

Give Claude Accurate Information It Can Retrieve

No procurement team ever unblocked a contract because the homepage said “drive efficiency at scale.” What actually delays signatures is the unglamorous stuff: where the data lives, who can audit it, how many sprints the deployment eats, and what the invoice looks like in month thirteen. Those answers need to exist on crawlable, permanent pages, not inside a sales deck that requires an NDA to open.

Five areas absorb the most buyer scrutiny:

• Product and solution pages: Workflows, customer profiles, supported use cases, and the honest line where the product runs out of road.
• Integration docs: Compatible systems, dependencies, auth methods, deployment prerequisites. Not a logo wall – an engineering resource.
• Security materials: Certifications, access controls, compliance scope. Written for the CISO who reads it at midnight with a spreadsheet open in the next tab.
• Pricing and implementation: Commercial model, onboarding responsibilities, and the charges that don’t appear until page four of the contract.
• Customer evidence: Project conditions, observed outcomes, and the methodology behind every percentage you publish.

Anthropic’s crawler documentation splits the crawlers into three lanes: Claude-SearchBot handles search discovery, Claude-User fires on user-initiated retrieval, and ClaudeBot serves model training. Audit your robots.txt like it’s a revenue document – because it is. One over-broad disallow rule and Claude-SearchBot never sees your best pages. Opening access won’t force a recommendation, but slamming the door guarantees you never get one.

Stop hiding specs behind download gates. A PDF that needs a form fill is invisible to crawlers and annoying to buyers – a double loss. Permanent URLs, descriptive titles, logical internal links, and content that mirrors the product as it ships this week, not the version your marketing team approved in Q1.

Build Credibility Outside the Corporate Website

Your own site is a monologue with good production values. Buyers know it. What moves a shortlist from “maybe” to “include” is evidence that exists outside your marketing department’s control.

Every case study should open with the problem, not the result. A measurement claim without a method is marketing wearing a lab coat.

Industry credibility comes from original, verifiable work – reproducible performance tests, anonymised data sets, technical analysis an editor would publish without being asked. Thought-leadership about “the future of X” earns bookmarks from exactly zero procurement leads.

Maintain accurate directory profiles. Invite real feedback. Manufactured endorsements produce volume, not trust, and buyers spending serious money can tell the difference instantly.

Track Claude Visibility Without Mistaking Mentions for Demand

Measurement gets complicated when a buyer learns about a company without clicking a search result. Pew Research Center, 2025: clicks on traditional Google results cut nearly in half (8% versus 15%) the moment an AI summary appeared. That’s Google, not Claude. But the implication is the same: your analytics dashboard is going blind in the exact places buyers are forming opinions.

Set up a monthly prompt panel built around the deals you actually want to win. Don’t just count mentions – separate a passing name-drop from a genuine recommendation. Check whether Claude gets your capabilities right. Log which competitors share the screen and which buyer constraints make your brand appear or vanish.

Slice by segment, not by total count. An enterprise vendor that Claude keeps recommending to solopreneurs has a visibility score that looks healthy and a pipeline that stays empty. Ten accurate recommendations for regulated mid-market buyers will outperform a hundred generic mentions every quarter.

Tie the prompt data back to what sales already tracks: branded search shifts, demo request patterns, the “how did you find us” question. Perfect attribution across Claude, Google and a Slack thread? Never going to happen. But the signals are sharp enough to tell you which page to rewrite on Monday.

Make Claude Discoverability Part of the Growth Operation

No single team owns Claude visibility – it sits at the intersection of four departments that rarely share a roadmap. Sales knows which questions kill deals. Product knows where the feature claims stretch. Marketing owns the public narrative. Engineering decides whether any of it is actually crawlable. Until those four are in the same room with the same prompt data, the gaps persist.

Skip the temptation to chase every industry query. Pick the use cases that generate the most revenue, fix the product pages that misrepresent what you ship, and earn independent coverage in the areas where your team has something original to say – not something borrowed from a competitor’s blog.

No company can secure a permanent position in Claude’s recommendations, and a citation does not guarantee a sale. But accurate public information, well-supported claims, and consistent external evidence give buyers better reasons to consider your brand – whether they first encounter it through Claude or through traditional research.