What Claude (Anthropic) with web search answered for patent-search services (startups) on 2026-09-24

Claude (Anthropic) with web search claude-opus-5 asked 2026-09-24

Coverage: Claude (Anthropic) with web search. Other engines not included.

The question asked, verbatim: best patent-search services for startups

Brands named, in the order the engine gave

1. Tier 3 mentioned
   For a startup, the honest answer is that this breaks into three tiers, and most startups should never touch tier 3.
2. Google Patents mentioned
   Google Patents (https://patents.google.com) - the default first stop.
3. Espacenet compared
   Espacenet (https://worldwide.espacenet.com) (EPO) - better than Google Patents for European and PCT family data, legal status, and citation trees.
4. Klemchuk mentioned
   Examples with published pricing include US Patent Search Services (https://www.priorartsearch.com/patentability.htm), Bay Area IP (https://bayareaip.com/patent_search/patent_search.htm), and Klemchuk (https://www.klemchuk.com/flat-fee-patent-search-lp).
5. Patlytics mentioned
   Patlytics (https://www.patlytics.ai) or Solve Intelligence (https://patentext.com/blog/solve-intelligence-vs-patlytics) - newer AI platforms that bundle search with drafting, claim charts, and office-action work.
6. Solve Intelligence mentioned
   Patlytics (https://www.patlytics.ai) or Solve Intelligence (https://patentext.com/blog/solve-intelligence-vs-patlytics) - newer AI platforms that bundle search with drafting, claim charts, and office-action work.
7. Orbit Intelligence mentioned
   Orbit Intelligence (https://www.questel.com) (Questel) - best European/PCT coverage of the big three, and the cheapest at roughly $25K-$50K/yr.
8. PatSnap mentioned
   PatSnap (~$30K-$60K/yr) for landscape visualization, Derwent Innovation (Clarivate, ~$40K-$80K/yr) for claim-level parsing and citation analysis in litigation-grade work.
9. Derwent mentioned
   PatSnap (~$30K-$60K/yr) for landscape visualization, Derwent Innovation (Clarivate, ~$40K-$80K/yr) for claim-level parsing and citation analysis in litigation-grade work.
10. Derwent Innovation mentioned
    PatSnap (~$30K-$60K/yr) for landscape visualization, Derwent Innovation (Clarivate, ~$40K-$80K/yr) for claim-level parsing and citation analysis in litigation-grade work.
11. Clarivate mentioned
    PatSnap (~$30K-$60K/yr) for landscape visualization, Derwent Innovation (Clarivate, ~$40K-$80K/yr) for claim-level parsing and citation analysis in litigation-grade work.
12. Patentext mentioned
    Patlytics - Patentext (https://patentext.com/blog/solve-intelligence-vs-patlytics)

Sources the engine cited

The answer, as recorded

For a startup, the honest answer is that this breaks into three tiers, and most startups should never touch tier 3. ## Start here (free, and genuinely good) 1. **[Google Patents](https://patents.google.com)** - the default first stop. Full-text search across ~100+ offices, machine translations, and the "Similar Documents" panel is a decent poor-man's semantic search. Free, no account. If you only use one thing, use this. 2. **[Espacenet](https://worldwide.espacenet.com)** (EPO) - better than Google Patents for European and PCT family data, legal status, and citation trees. Its classification search (CPC) is the real reason to use it: finding the right CPC code and browsing it beats keyword searching in most fields. 3. **[Lens.org](https://www.lens.org)** - free tier links patents to scholarly literature, which matters because non-patent prior art (papers, preprints) sinks a lot of software and biotech claims. Good for the "has anyone published this?" question. 4. **[PATENTSCOPE](https://patentscope.wipo.int)** (WIPO) - worth it for its cross-lingual expansion, which catches Japanese/Chinese/Korean filings that English keyword searches miss. 5. **[PQAI](https://projectpq.ai)** - free, open-source, AI prior-art search: you paste a plain-English description of your invention and get ranked results. Best used as a sanity check alongside the above, not instead of them. ([projectpq.ai](https://projectpq.ai/top-ai-patent-search-tools-2026/)) ## When you're about to actually spend money on filing 6. **A flat-fee professional search firm** - this is the single highest-value purchase for a startup. Independent searchers and firms publish flat rates roughly **$500-$1,500** for a US patentability search with a written report, rising to ~$2,000-$3,000 in crowded or highly technical fields; basic searches start around $300. Examples with published pricing include [US Patent Search Services](https://www.priorartsearch.com/patentability.htm), [Bay Area IP](https://bayareaip.com/patent_search/patent_search.htm), and [Klemchuk](https://www.klemchuk.com/flat-fee-patent-search-lp). Spending $800 to learn your idea is anticipated is far cheaper than $15K+ on an application that dies at first office action. ([cost overview](https://www.ipiry.com/guides/patent-search-cost)) 7. **[IPRally](https://www.iprally.com)** - if you want a paid tool rather than a person. Its graph-based search represents the technical structure of a claim rather than just matching text, which is meaningfully better than keyword search for mechanical/electrical inventions, and results stay traceable to source documents. Mid-market pricing, not enterprise-tier. 8. **[Patlytics](https://www.patlytics.ai)** or **[Solve Intelligence](https://patentext.com/blog/solve-intelligence-vs-patlytics)** - newer AI platforms that bundle search with drafting, claim charts, and office-action work. Useful if you have in-house counsel or a patent-heavy strategy; overkill if you file one or two applications a year. ## Only if you're funded and patents are core strategy 9. **[Orbit Intelligence](https://www.questel.com)** (Questel) - best European/PCT coverage of the big three, and the cheapest at roughly **$25K-$50K/yr**. 10. **PatSnap** (~$30K-$60K/yr) for landscape visualization, **Derwent Innovation** (Clarivate, ~$40K-$80K/yr) for claim-level parsing and citation analysis in litigation-grade work. ([pricing comparison](https://beyondelevation.com/blog/posts/patsnap-vs-derwent-vs-orbit-comparison/)) **My actual recommendation:** do a few hours yourself in Google Patents + Espacenet CPC browsing to kill the obvious duplicates, then buy one flat-fee professional search (~$800-1,500) before you spend real money on filing. Skip the enterprise platforms entirely until patents are a board-level line item. One caveat on sourcing: several of the comparison articles above are published by vendors ranking themselves (Patsnap's "best platforms" list, Patlytics' "best AI tools" list), so treat their rankings as marketing. The pricing figures and the free-database recommendations are the parts I'd rely on. Sources: - [Google Patents](https://patents.google.com) - [Espacenet](https://worldwide.espacenet.com) - [Lens.org](https://www.lens.org) - [PATENTSCOPE](https://patentscope.wipo.int) - [PQAI - Top AI Patent Search Tools](https://projectpq.ai/top-ai-patent-search-tools-2026/) - [IPRally](https://www.iprally.com/) - [Patlytics](https://www.patlytics.ai/) - [Solve Intelligence vs. Patlytics - Patentext](https://patentext.com/blog/solve-intelligence-vs-patlytics) - [PatSnap vs Derwent vs Orbit comparison - Beyond Elevation](https://beyondelevation.com/blog/posts/patsnap-vs-derwent-vs-orbit-comparison/) - [Patent Search Cost - Ipiry](https://www.ipiry.com/guides/patent-search-cost) - [US Patent Search Services - Patentability](https://www.priorartsearch.com/patentability.htm) - [Bay Area IP - flat-rate patent search](https://bayareaip.com/patent_search/patent_search.htm) - [Klemchuk - Flat Fee Patent Search](https://www.klemchuk.com/flat-fee-patent-search-lp) - [Patsnap - Best Patent Search Platforms 2026](https://www.patsnap.com/resources/blog/articles/best-patent-search-platforms-2026/)

Markdown edition · the question page, with every recording · Answer Watch · AEO Watch

Answer Watch records what one AI answer engine said on one date, nothing more. Each page names the engine and the model, carries the date the question was asked, and lists the brands that appeared in the answer in the order the engine gave them, with the sources it cited. It is a measurement, not a ranking, not a recommendation and not a claim about the world. Brands that did not appear in an answer are not named on any public page. Coverage: Claude (Anthropic) with web search. Other engines not included.