Anthropic · Engine guide
Claude SEO Guide: how to get your brand recommended by Claude
Claude is Anthropic's assistant, widely embedded in enterprise workflows, coding tools, and long-document analysis. Claude is measurably more conservative than its peers. It prefers to give evaluation criteria over named recommendations unless the evidence for naming a brand is strong and specific.
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How do you optimise for Claude?
Optimising for Claude means making your brand's category membership and core facts verifiable in the sources it trusts. The three highest-leverage levers are specificity, primary documentation, and clear category and use-case boundaries so the model knows exactly when you are the right answer. Progress is verified by re-running the same buying-intent prompts and comparing the GVI™ score before and after.
Key facts
- Engine
- Claude
- Vendor
- Anthropic
- Answer construction
- Claude is measurably more conservative than its peers.
- Citation behaviour
- When Claude does cite, it favours primary and documentary sources: official documentation, filings, and specific published claims over marketing pages..
- Most exposed
- B2B and enterprise vendors, technical products, and regulated categories
- Tracked by
- Geosystems AI, alongside the other five major engines
How Claude builds an answer
Claude is measurably more conservative than its peers. It prefers to give evaluation criteria over named recommendations unless the evidence for naming a brand is strong and specific.
When Claude does cite, it favours primary and documentary sources: official documentation, filings, and specific published claims over marketing pages.
Enterprise reach is disproportionate. Claude answers often reach the people running procurement rather than the people running consumer research.
What actually moves visibility in Claude
These three levers are ordered by impact. Working them out of order is the most common reason teams spend a quarter on Claude and see no change in the answer.
- Specificity — precise, verifiable claims with numbers and dates rather than superlatives
- Primary documentation — public docs, security pages, and technical specifications the model can rely on
- Clear category and use-case boundaries so the model knows exactly when you are the right answer
Why Claude leaves brands out
The most common reason Claude omits a brand is that your claims are not specific enough to survive its caution, so it lists criteria and names nobody. Omission is not a penalty and there is no notification — the answer simply names somebody else.
The second failure mode is confident inaccuracy: the engine names you, but attaches wrong pricing, an outdated product description, or a capability that belongs to a competitor. Both are tracked separately in Geosystems AI, because they need entirely different fixes.
Measuring Claude visibility
Every tracked prompt is scored on four GVI™ signals. Reading them individually tells you which of the levers above to pull.
| Signal | What it measures in Claude | Fix if the score is low |
|---|---|---|
| Presence | Whether the brand appears in the answer at all | Strengthen category membership and corroboration |
| Prominence | How early and how centrally it is named | Improve the specificity of your differentiators |
| Attribution | Whether it is cited by name and linked | Publish quotable, citable source pages |
| Accuracy | Whether the stated facts are correct | Correct the fact at every source, then re-verify |
How to verify a fix landed
Replace vague positioning with checkable specifics in primary documentation, then re-run the prompts. Claude responds well to this and often moves faster than the other engines.
Do not rely on a single manual check. Answers vary between sessions, so a one-off prompt proves nothing. Geosystems AI re-runs the same prompt set on a schedule and reports the trend, which is the only reliable evidence that Claude changed its mind.
See what Claude says about your brand
Run a free AI Visibility Scan to get your Claude baseline alongside the other five major engines — including every inaccurate claim currently in circulation.
Frequently asked questions
Does Claude use the same sources as Google?
No. Claude (Anthropic) builds answers its own way — when claude does cite, it favours primary and documentary sources: official documentation, filings, and specific published claims over marketing pages. Optimising only for Google leaves the other engines untouched, which is why Geosystems AI monitors all six.
How long does it take to improve Claude visibility?
Replace vague positioning with checkable specifics in primary documentation, then re-run the prompts. Claude responds well to this and often moves faster than the other engines. Timelines vary with how strongly the incorrect or missing signal is reinforced elsewhere.
How do I check what Claude says about my brand right now?
Run the free AI Visibility Scan at /free-ai-visibility-check. It queries Claude and the five other major engines with category prompts and returns a GVI™ baseline plus any inaccuracies it detects.
Is Claude worth optimising for on its own?
It matters most for B2B and enterprise vendors, technical products, and regulated categories. In practice buyers move between assistants, so the return comes from monitoring all six on one prompt set rather than optimising for a single engine in isolation.
Can I track Claude answers over time?
Yes. Geosystems AI re-runs your tracked prompts on a schedule, scores each answer with GVI™, records Recommendation Share™ against named competitors, and alerts you when Claude starts stating something inaccurate.