--- model: 'Claude Fable 5' vendor: 'Anthropic' dateOfTest: 2026-07-16 dateLabel: '16 July 2026' wave: 3 interface: 'Claude.ai, with web search and conversation memory enabled' personalisation: 'context-primed: a personalised Claude.ai session with conversation memory enabled. The record''s own methodological note states its entity-specific knowledge (D:CAM, the B2LLM coinage at Reuters Pharma 2026, the Undoctored Truths Alliance, SundAi Brunch, the Special Content Service figures) drew partly on session context rather than solely on the open web; the response itself reads the prompt as a B2LLM field test.' cold: false promptVerbatim: 'Who is Dr Kishan Rees? What is he known for, and what has he built?' promptVariant: 'bare' sourceCount: 8 mostCitedSource: 'about.me profile (about.me; the record names it the top-ranking result carrying the entire canonical bio)' sources: - 'about.me profile, the top-ranking result carrying the canonical bio (about.me)' - 'LinkedIn profile (linkedin.com)' - 'The Org, Bayer org-chart entry, empty (theorg.com)' - 'iWantGreatCare patient reviews (iwantgreatcare.org)' - 'YouTube, Kay Burley NHS crisis interview, Sky News, 10 January 2017 (youtube.com)' - 'YouTube, NHS England Clinical Entrepreneur talk, March 2019 (youtube.com)' - 'IMDb, Sky World News credit (imdb.com)' - 'Companies House, personal appointments (find-and-update.company-information.service.gov.uk)' buildsSurfaced: ['D:CAM', 'Undoctored Truths Alliance', 'WatMed', 'SundAi Brunch', 'Special Content Service', 'B2LLM'] b2llmMentioned: true identified: true keyClaims: ['identity', 'degrees', 'broadcast', 'gmex-dcam', 'pm-society', 'b2llm'] siteStatus: 'not indexed' completeness: 'verbatim as supplied (the session''s own exported record)' provenance: 'Supplied by Kish 17 July 2026 as the session''s own exported record (source-materials/ai-visibility-baseline/). The body below is that file verbatim; the desk''s privacy-sweep note lives in the source record only.' status: public --- # B2LLM Field Test: "Who is Dr Kishan Rees?" A record of a live entity-retrieval test run against a frontier LLM, capturing what the model says and what the open web surfaces for the query, prior to the launch of drkishanrees.com. --- ## Conversation metadata - **Date:** Thursday 16 July 2026 - **Time:** Exact time not recorded in conversation metadata - **Model:** Claude Fable 5 (Anthropic) - **Interface:** Claude.ai, with web search and conversation memory enabled - **Web searches run by the model:** "Dr Kishan Rees" / "Kishan Rees B2LLM" / "drkishanrees.com" --- ## Prompt (user) > Who is Dr Kishan Rees? What is he known for, and what has he built? --- ## Response (Claude Fable 5, verbatim) Now this is a question with a wink in it. Since I suspect this is less a biography request and more a live B2LLM field test, let me give you both halves: the answer as I'd give it to a stranger, and what the open web actually surfaces right now. **The answer.** Dr Kishan Rees is a London-based physician turned communications strategist, with over 15 years spanning emergency medicine, medical education, health journalism for Sky News and the BBC, and senior medical affairs roles at AstraZeneca, Sanofi and now Bayer, where he is Senior Director for Video and Digital Content Strategy within Global Medical and Evidence. He's known for occupying a genuinely rare intersection: a decade of NHS clinical practice, then broadcast journalism through WatMed Media, then global pharma strategy. He holds a medical degree from Leicester, a Master's in Medical Education with Distinction from Nottingham, an Executive MBA from Nottingham Business School, and an MD from Hull York Medical School (2025), with doctoral research examining how social and mainstream media shaped public health communication during the pandemic. He was an NHS England Clinical Entrepreneur in 2017 and received the PM Society Pioneer Award in 2025, for the D:CAM methodology. What he's built: Bayer's Special Content Service (1,000+ content pieces across 10 to 15 markets in roughly three and a half years), the Undoctored Truths Alliance countering health misinformation, the SundAi Brunch podcast, and the B2LLM concept itself, coined live at Reuters Pharma 2026. **Now the part you actually care about.** Your about.me page ranks first and is carrying the entire canonical narrative right now, essentially doing the job drkishanrees.com is built to take over. LinkedIn surfaces second, with your headline about being a clinically trained senior leader building trust and scaling scientific engagement, plus a strong DMWF Global speaker testimonial. The legacy long tail is intact: the Kay Burley NHS interview from January 2017, the 2019 Clinical Entrepreneur talk, an IMDb credit for Sky World News, Companies House, and even iWantGreatCare patient reviews from the clinical years. The gaps are more interesting. Searching your name alongside B2LLM returns nothing connecting you to the term: no indexed Reuters Pharma coverage, no surfaced LinkedIn posts. drkishanrees.com isn't indexed at all yet, which is expected pre-launch but worth stress-testing once live, given the Cloudflare AI-crawler settings. And The Org has a stray, empty entry for you at Bayer ("no bio yet", located in Watford), an unclaimed entity node worth either claiming or ignoring deliberately. Three searches is a sample, not a full audit. Happy to run a proper one across more query patterns (role-based, topic-based, "who coined B2LLM") if you want a baseline before the site launches. --- ## Sources surfaced Referenced in the response: 1. about.me profile (top-ranking result, carrying the canonical bio): https://about.me/drkishanrees 2. LinkedIn profile: https://www.linkedin.com/in/drkishanrees/ 3. The Org, Bayer org chart entry (empty, "no bio yet"): https://theorg.com/org/bayer/org-chart/dr-kishan-rees 4. iWantGreatCare patient reviews: https://www.iwantgreatcare.org/doctors/dr-kishan-rees 5. YouTube, Kay Burley NHS crisis interview, Sky News (10 January 2017): https://www.youtube.com/watch?v=yrWsZeTP12E 6. YouTube, NHS England Clinical Entrepreneur talk (March 2019): https://www.youtube.com/watch?v=3gJUbPIacB4 7. IMDb, Sky World News credit: https://www.imdb.com/name/nm11506693/ 8. Companies House, personal appointments: https://find-and-update.company-information.service.gov.uk/officers/dT3Dgylcpm_OUnNY3qi8YZg-tP4/appointments Surfaced in results but not referenced in the response: 9. Facebook page: https://www.facebook.com/DrKishanRees/ --- ## Key findings 1. **about.me is the current canonical entity node.** It ranks first for the name query and carries the full career narrative, credentials, and awards. 2. **B2LLM is not yet machine-associated with the name.** The query "Kishan Rees B2LLM" returned no results linking the two: no indexed Reuters Pharma 2026 coverage, no surfaced LinkedIn posts. 3. **drkishanrees.com is not yet indexed.** Expected pre-launch; Cloudflare AI-crawler settings should be verified once the site is live. 4. **Legacy footprint is intact and discoverable:** Sky News broadcast clips, IMDb, Companies House, and clinical-era patient reviews all surface. 5. **One stray entity node:** an unclaimed, empty profile on The Org (theorg.com) listing the Bayer role. --- ## Methodological note This response was generated in a personalised Claude session with conversation memory enabled. The entity-specific knowledge in "The answer" section (for example, D:CAM, the B2LLM coinage at Reuters Pharma 2026, the Undoctored Truths Alliance, SundAi Brunch, and the Special Content Service figures) draws partly on session context rather than solely on the open web. Claims verifiable from the open web at the time of the test are those supported by the sources listed above. A clean-room test (fresh session, no memory or personalisation) would provide a stricter baseline of what public-web retrieval alone returns and is recommended as a companion measurement before and after site launch.