Eighteen field reports anchored on the May 2026 PharmaGEO public index and primary GEO research from Princeton, Ahrefs, IQVIA, and the BMJ. Hard data on what generative engines say about pharma brands across six engines, three languages, and four therapeutic areas — and what to do about it.
The playbook our analysts ship to launch teams. Eight doctrines, the search architecture LLMs reward, engine-by-engine guidance, and a 90-day mobilization plan, anchored on cross-engine and cross-language pharma data.
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Every article is built from real audit data, with citations to peer-reviewed sources where relevant.
Why pharma GEO is structurally different from B2C GEO, and how PharmaGEO compares with Profound, Evertune, Otterly, Peec.ai, Semrush, and Ahrefs.
Read · 8 minThe same brand can be #4 in OpenAI and #8 in Perplexity in the same week. A 33-point gap, decoded across four therapeutic areas.
Read · 11 minOne molecule, three Answer Rates: 13.8% in English, 48.8% in French, 51.9% in Spanish. Why localization is not translation.
Read · 9 minNCCN ~85% in oncology. FDA labels lead in obesity. A specialist hub outranks NICE in psoriasis. There is no universal source playbook.
Read · 10 minA brand named in 93% of answers can hold only 22% of the conversation. The 4x compression every brand team should be measuring.
Read · 8 minTwelve weeks, three phases, named owners and KPI targets. The operating plan brand teams ship after the audit.
Read · 12 minFDA labels are the #1 and #2 cited sources in obesity prompts. Engines are already delivering boxed warnings — and surfacing T2D-only molecules on weight-loss queries.
Read · 10 minEight findings from the May 2026 PharmaGEO public index across obesity, lung cancer, atopic dermatitis, and psoriasis.
Read · 10 minA public-data benchmark across OpenAI, Perplexity, and Gemini in four therapeutic areas. Same brand, three rankings.
Read · 13 minEight tactics anchored on Princeton GEO research, Ahrefs brand-mention correlations, and the public PharmaGEO source data.
Read · 12 minFour source archetypes, four therapeutic areas, and the propagation chain that decides which domain wins citations.
Read · 12 min54% of HCPs use generative AI in clinical contexts (IQVIA). OpenEvidence hit one million consultations in a single day. What HCPs ask, and what they see.
Read · 9 minThe 6-axis PharmaGEO score, sampling design, and the cadence that absorbs 59% monthly citation volatility.
Read · 9 minThe Princeton GEO results table, the 44.2% front-loading rule, and a before/after rewrite MLR can sign off on.
Read · 9 minYour 2024 SEO competitive map is wrong twice over. A 7-row blindspot audit table, anchored on cross-engine and cross-language data.
Read · 11 minThe compliance frame for the AI surface — EPAR mirroring, off-label exposure, and an MLR-friendly content audit checklist.
Read · 12 min53.9% Top-3 SOV. FDA labels at #1 and #2 in citations. Off-label leakage. The structural pattern of every GLP-1 launch in the AI answer layer.
Read · 10 minThe state of AI search in pharma — anchored on IQVIA, CMI, and the public PharmaGEO index. The case for moving now.
Read · 8 min