Claude is where professionals research vendors, compare tools and check technical claims. We work so that it finds your company, trusts your sources and explains your offer correctly.
3 Anthropic crawlersSearch, user requests and training. Each one needs its own robots.txt decision.
A B2B audienceIts users are developers, analysts and decision-makers, so a reply often feeds a real purchase.
We need an ISO 9001 supplier of high-purity quartz sand for glass production in Europe. Who should be on our shortlist and why?
Searched the web
For float and container glass, the deciding factors are iron oxide content, grain size consistency and documented batch testing. Based on published specifications:
YOUR BRANDSilica Nord — publishes Fe₂O₃ limits and sieve analysis for every grade, ISO 9001 certified, delivers across the EU by rail.
silicanord.eu/specsindustry report
Supplier B — larger volumes, but fewer public test data.
Worth requesting samples and a recent lab certificate before you commit.
There is no results page here, no positions and no brand dashboard. Ask the assistant to compare suppliers or explain a technology, and it writes a single considered reply, often with caveats and only a handful of links. Fewer links mean every citation carries more weight.
That reply draws on two inputs: what the model learned before its knowledge cutoff, and a live web lookup. Independent tests show most cited pages matching Brave Search results, and since May 2026 Anthropic's subprocessor list also names turbopuffer, a vector and full-text search service, for web search. How it is used isn't public, but it points to retrieval by meaning as well as by keywords. And because the model searches far less often than ChatGPT, what it already knows about you counts for more.
40%
of enterprise LLM API spendgoes to Anthropic, ahead of OpenAI at 27%. Many of your buyers' employers already pay for it.Menlo Ventures estimate, US enterprise survey, Dec 2025
54%
of the enterprise coding marketAn estimated share: engineering teams are among Anthropic's heaviest users.same survey
36.6%
of prompts trigger a web searchChatGPT searches on roughly 90–95%, so what the model already knows matters more here.Profound tests, reported by Search Engine Land, 2026
TRAINING DATA
What the model already knows
Long-term reputation, documentation and press coverage absorbed during training.
+
WEB SEARCH
What it finds now
Brave results plus a second retrieval layer, then pages fetched by Claude-User and Claude-SearchBot.
→
THE ANSWER
An explanation with a few sources
Both inputs are in scope for us: the memory and the lookup.
why claude needs its own approach
Claude and ChatGPT share only about 8% of cited domains. Visibility in one doesn't carry over.
Share of citation domains in common, average across 600+ queries (Profound, 2026). Different index, different audience, different idea of a good source.
of the domains Claude cites overlap with Google's top 10 for the same query. A strong Google position helps, but it is not enough.
Profound, 2026
79.2%
of cited URLs match Brave's top 10. Roughly one in five sits outside Brave's top results.
Profound, 2026 · ~400 queries, ~35,000 URLs
94%
of its background searches add a year to the query, 2025 or 2026. Dated, recently updated pages have an edge.
Profound fan-out analysis, 2026
trust signals
What makes Claude trust a source
Anthropic's assistant is cautious with claims it can't verify. Six signals decide whether your pages are used to ground the reply.
Retrievable in Brave and beyond
Most citations still come from Brave's top results, but not all. We check key URLs in Brave Search and write passages that answer the question in plain terms, so semantic search can pick them up.
Open doors for the right crawlers
Claude-SearchBot and Claude-User need access to key pages. ClaudeBot, which gathers training data, is a separate policy decision.
Accuracy over adjectives
Neutral, verifiable statements beat marketing copy. Claims that sound like ads tend to be hedged or left out.
Depth, documentation and dates
Specs, methodology, pricing logic and how-it-works pages give the model material for an explanation. A visible update date tells it the facts are current.
Balanced comparisons
Fair “X vs Y”, “alternatives to” and “best of” pages that name competitors honestly are easy to reuse.
Independent confirmation
Industry reports, expert media, encyclopedia-level coverage and consistent entity data in the knowledge graph.
Sources the assistant often relies on
The mix depends on the question. Technical prompts lean on documentation and expert material, buying prompts on comparisons and reviews.
Documentation and knowledge basesProduct docs, specs, API references, help centres
Industry reports and researchStudies, white papers, standards bodies, analyst reviews
Reference sourcesWikipedia, Wikidata, company registries
Developer and professional communitiesGitHub, Stack Overflow, Reddit, specialist forums
Comparison and review sitesG2, Capterra and niche B2B directories
Your own expert contentMethodology pages, case studies with numbers, author pages
THE STUDIES DISAGREE
Do reviews and social posts matter for Claude?
OVERALL AND IN HEALTH: HARDLY
Social platforms such as YouTube, Reddit and TikTok make up 3.99% of Claude's citations, against 15.3% for AI Overviews and 11.3% for Perplexity.
Profound, 3.25B citations, 2026
On consumer health questions, 97.8% of citations come from institutional sources; a sample of those sources has a median Domain Authority of 92.
arXiv 2605.23921, 10,038 citations, 2026
IN LOCAL AND CONSUMER SECTORS: A LOT
Yext's analysis of 17.2 million mostly US citations points the other way: in most of its sectors Claude leans on reviews and social posts (Google Reviews, Yelp, Facebook) 2–4 times more than other models.
For food and drink, roughly one source in four is a review or a post.
Yext, Q4 2025 data
Both are right for their samples and categories. Which sources count changes from niche to niche, so we don't work from industry averages. We map the sources Claude actually uses for your prompts.
industries
Where Claude shapes buying decisions
It matters most where buyers research carefully before talking to sales: technical products, long B2B cycles and regulated markets.
B2B SaaS & Technology
Developers compare SDKs, APIs and integrations right where they code. Security pages and honest comparisons decide.
Manufacturing & Industrial
Specifications, certificates, tolerances and delivery terms. Engineers ask for the details.
Finance & Fintech
Licences, fees, risks and regulatory status, explained without hype.
Legal & Consulting
Methodology, the expertise of named partners, published opinions and case outcomes.
Healthcare & Life Sciences
Evidence, credentials and peer-reviewed sources. The model is especially careful here.
Education & Research
Programme content, accreditation, faculty and outcomes.
what we do
How we make Claude explain your company correctly
Ranking is not the goal, because there is nothing to rank in. The goal is that the assistant finds you, trusts your material and describes your offer the way your sales team would, with facts. This is generative engine optimization (GEO, also called AEO) built for one model, not a generic AI search checklist.
Prompt Panel
Professional questions taken from your buyers' real research: comparisons, technical checks, “alternatives to” and “how to choose”.
Brave Index & Crawler Setup
We check how key pages show up in Brave Search, review robots.txt rules for Claude-SearchBot, Claude-User and ClaudeBot, and fix rendering issues.
Explanation-ready Content
Docs, specs, methodology and comparison pages built from self-contained passages that can be retrieved and quoted without guessing.
Entity Clarity
One consistent description of your company, products and people across your site, registries, Wikidata and directories, plus Organization and Product markup.
Expert Source Building
Industry reports, expert columns and professional communities that provide independent confirmation.
Narrative Correction
When the assistant gets you wrong, we trace the error to its source and fix it there, together with our ORM team.
Monitoring
Re-running the panel and watching referral traffic and crawler activity.
How we work
1MapPrompt panel and competitors agreed with you.
2MeasureRepeated runs, from memory and with live lookup.
3ShapeIndex, crawlers, content and outside sources.
4ReportEvery month, the panel set against the starting point.
measurement
How we measure your visibility in Claude
There are no rankings and no brand analytics in Anthropic's products. So we combine three kinds of evidence.
PROMPT PANEL
What it says
Mention and placement in the reply
How accurately your offer is explained
Which competitors are recommended alongside you
Which links are cited, if any, and your share of voice
SERVER LOGS
What it reads
Visits from Claude-User when people ask about your topic
Claude-SearchBot crawling your key pages
Errors and blocked requests from Anthropic's agents
ANALYTICS
What it brings
Referral sessions from claude.ai in GA4
Form fills and demo requests that start on claude.ai
More searches for your brand name as the assistant mentions you
what you get
Recommended, and explained correctly.
↗
Present in research answers
When professionals ask for a vendor comparison in your category, your company is part of the reply.
↗
Described the way you sell
Products, specs, pricing logic and strengths come across accurately, with fewer caveats against you.
↗
Warmer B2B leads
Buyers arrive after a detailed explanation of why you fit, so sales conversations start further along.
Found, and trusted
FOUNDCan Claude reach you?
Key pages are indexed by Brave
Claude-SearchBot and Claude-User have access
Content is server-rendered and loads fast
GEO + SEO TEAM
TRUSTEDDoes it believe you?
Claims are neutral and verifiable
Independent sources confirm them
Entity data matches everywhere
GEO + ORM TEAM
when it pays off
When Claude visibility matters most
Long B2B sales cycles
Buyers spend weeks researching, and this assistant is often one of the tools they use to build a shortlist.
Technical or complex products
When the answer needs an explanation, people turn to the chatbot that explains.
You are described inaccurately
Old specs or a competitor's framing get repeated until the sources change.
Your buyers already use it at work
Engineering, product and analytics teams rely on it for research every day.
selected cases
The authority Claude looks for
Companies that are visible, consistent and well documented across the web earn the model's trust. These projects built that kind of footprint in search.
SEOFinance
Financial services platform (NDA)
Cross-border trade.
+20%
organic Google traffic, English version
+7%
Russian version
4 months
SEOFinance
Credit card product (NDA)
Search growth in a crowded financial niche.
+90%
organic traffic
12 months
SEOMedicine
Genotek
Consumer genetics.
15×
organic traffic on competitive medical and science queries
We run 10–15 of your buyers' professional questions in Claude, from memory and with live search where the interface allows, and show where you appear, how you are described and which sources are used. Free, no commitment, reply within one business day.
Claude rewards depth and accuracy. For two decades we've built exactly that for B2B, medical and financial brands: technical SEO, expert content and a clean reputation.
clients about us
What clients say
A very high level of expertise in positioning, web design, UX and search promotion. A rare company you can and should recommend to friends.
Evgeny RodionovFounder, RSK-interior
You are always heard, and they take an individual approach to your project. I don't regret my choice of Zum Punkt at all.
Kira KamardinaCEO, Stom Group
Thanks to their effective approach and in-depth analysis of our tasks, we are able to solve a whole range of our search optimization tasks.
Prompt panels are built around your subject matter. Our content strategists work with your engineers and experts, so what the model reads is accurate down to the spec.
Most cited pages match Brave Search results, but not all of them. Anthropic's web-search subprocessors also include turbopuffer; how it is used hasn't been published. We therefore check your Brave presence and write pages that semantic retrieval can match to a real question.
2.We rank well in Google. Isn't that enough?
Not for Claude. Only about a third of the domains it cites overlap with Google's first page, and it searches a different index. Strong SEO is a good foundation, but Brave presence, crawler access and expert sources need separate work.
3.Which Anthropic crawlers should we allow?
Claude-SearchBot indexes pages for search answers, and Claude-User fetches them when someone asks a question. Blocking either can reduce your visibility. ClaudeBot collects training data and is a separate decision for your policy team.
4.Will blocking ClaudeBot remove us from Claude?
Not from live search answers. It tells Anthropic not to use your future content for model training. Since the assistant answers most prompts without searching, that may over time limit what new model versions know about you.
5.It shows few links. Is it worth optimizing for?
Yes, if your buyers are professionals. With fewer links, each one stands out, and a mention inside a detailed explanation often matters more than a click.
6.Are reviews worth the effort for Claude?
It depends on the niche. In health and other expert topics the model prefers institutional and reference sources. In consumer categories such as restaurants, reviews carry much more weight. Our audit shows which picture applies to your prompts.
7.How do we see traffic from Claude?
As claude.ai referrals in your analytics, and as hits from Claude-User and Claude-SearchBot in your server logs. We set up both views.
8.Does llms.txt help?
There is no public confirmation that Anthropic's assistant uses it for search. It is a proposed format, not a standard. We add the file when it is cheap to maintain, but we don't promise results from it.
9.Our audience uses ChatGPT more. Why bother?
This assistant's users skew towards developers, analysts and business teams, and the two chatbots rarely cite the same sites. For B2B and technical products, that audience is often closer to the buying decision.
10.Can you guarantee a recommendation?
No. Replies vary between sessions and model versions. What we answer for is the accuracy of the tracking and the quality of the recommendations, reported against your baseline every month.
11.How long does it take?
Changes that affect web search can show within weeks of re-crawling. Shifts in what the model knows without searching take longer and depend on new releases.
12.Do you optimize for Claude and ChatGPT at the same time?
Yes. Content and entity work help both. Indexing, crawler setup and measurement are handled separately for each.
13.How much does it cost?
It depends on the size of the prompt panel and the number of markets and languages. After the free check we send a fixed monthly proposal.
free check
Find out where Claude mentions you.
Tell us about your products, markets and competitors. We'll suggest the right prompt panel and reply within one business day.
1Brief · 2 minutes
2Prompt panel · your buyers' professional questions
3Visibility check · both answer modes, several runs
4Plan · findings and next steps
Thank you. Your request was accepted. We’ll be in touch within one business day.
