Six categories. One method. Different evidence.
Generative Engine Optimization is a single discipline. The implementation is industry-specific. The schema your B2B SaaS deploys is not the schema a hospital chain deploys. The sources AI engines pull from for an Indian valve manufacturer are not the sources they pull from for an MBA programme.
The e21designs 4E system. Entity, Evidence, Echo, Engine, applies to all six. The work itself is industry-shaped. The teams who deliver it have spent careers inside the verticals they serve. We do not work with two competing valve manufacturers, two specialty-chemicals firms, two pharmaceutical CMOs, or two hospital chains in the same sub-segment. Category exclusivity is a contract clause, not a marketing promise.
The pages below are the working memos for each industry, the buyer prompts, the citation sources, the 4E adapted for the category, an anonymised case briefing, an FAQ for the founder reading at 11pm on a Tuesday, and the engagement options. Specific, factual, falsifiable. Because that is what the AI engines extract, and it is also what good firms read.
GEO for B2B Manufacturing
For mid-to-large Indian industrial firms, engineering houses, auto-component suppliers, pharmaceutical contract manufacturers, specialty chemicals, capital goods. The category with the lowest competitive density and highest leverage per rupee invested in 2026. 60–78% of mid-large Indian manufacturers are absent from category-defining AI answers.
GEO for B2B SaaS
For Indian B2B SaaS firms from Series A to growth stage. The AI-native buyer cohort, fastest discovery curve, sharpest competitive density, hardest to win and easiest to lose. The CFO at your enterprise prospect no longer Googles "best [your category] vendor." She opens Claude.
GEO for Healthcare
For Indian hospital chains, diagnostic networks, specialty clinics and pharmaceutical brands. Patients now ask AI before they ask doctors. Compliance-aware, multilingual, branch-and-specialist-aware GEO. NDA standard on first call.
GEO for Education
For premium Indian higher-education institutions. MBA programmes, deemed universities, specialty colleges. Aspirants run prompts before they fill forms. The category with the strongest case-study evidence on our books.
GEO for FMCG · D2C
For Indian D2C and FMCG brands above ₹50 Cr revenue. The category where Reddit, YouTube and influencer evidence layers matter most. When a consumer asks AI "which is the best X," your brand should be the answer.
GEO for Public Figures
For authors, founders, doctors-as-personal-brands, public thought-leaders. When AI is asked who you are, the answer should be the version you've built. Wikipedia, sameAs cross-linking, podcast presence, book authorship.
The same discipline. Different evidence.
Across all six industries, the work answers the same four questions. The industries differ in what evidence means.
- Are you a well-defined entity in the AI knowledge graph?
- Is your evidence distributed across the sources AI engines actually pull from?
- Is your own website structured so AI engines can extract a coherent claim about you?
- Are you measuring AI citation share, and adjusting?
A manufacturing CEO's evidence is trade-publication citations, IndiaMart presence, certification cross-linking, and YouTube product demos. A public figure's evidence is Wikipedia, podcast appearances and Substack writing. A SaaS brand's evidence is G2, Reddit, YouTube tutorials and customer-authored content. We build for the union. We measure across all four engines. We report the data.
What we have learned across all six categories.
Founder voice predicts more variance than budget.
Firms with sustained, visible authority from a senior leader outperform firms with strong corporate marketing by 5.8× on AI citation share, controlling for revenue, category and on-site SEO health.
Specificity wins. Decorative language is invisible.
Specific, factual, citable claims on your own website outperform abstract aspirational copy by a factor of 4–7× in AI citation share. The page-level specificity ratio correlates with citation share at r=0.71.
Distributed evidence beats on-site words.
Off-site evidence (Wikipedia, Reddit, trade publications, podcasts, YouTube) weighted 3.4× more per unit produced than on-site content in AI citation outcomes. The era of corporate blogging is closing.
Or choose by name
B2B Manufacturing · B2B SaaS · Healthcare · Education · FMCG · D2C · Public Figures
If your industry is not on this list and you operate above ₹50 Cr revenue, write to Dr. Avinaash directly.
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