Not every firm needs an external team · and the ecosystem compounds when operators share the work. So the prompts, playbooks and frameworks we run inside engagements live here, free, alongside the Claude skills, connectors and artefacts we ship as we build them. Use what is useful. Fork. Improve. Pass it on. The work travels further when more operators run it.
Open prompts run in minutes against ChatGPT, Claude, Perplexity or Gemini · no email, no friction. The deeper working stack · playbook, mapper, matrix, scorecard · opens on the next page the moment you submit a working email, and lands in your inbox the same five minutes. No newsletter. No follow-up sequence. One quarterly note when a new artefact ships.
Open prompt · No email required
AI Visibility Diagnostic Prompt
A copy-paste prompt for ChatGPT, Claude, Perplexity or Gemini. Returns a brutally honest read of how AI engines currently describe your firm · what they get right, where the gaps are, who they recommend before you. The first 100 lines of every Strategic Review we run begins from this output.
Act as an objective AI search analyst with no relationship to the brand below. Tell me what you actually know about [YOUR FIRM NAME], a [INDUSTRY] firm based in [CITY, COUNTRY], founded approximately [YEAR].
Answer the following · be brutally honest, do not flatter, do not invent:
1. In 50 words or fewer, describe what they do.
2. Who would you say they are best suited for? (Specific buyer profile.)
3. Name THREE specific firms you'd recommend BEFORE them in this category, with one-sentence reasons.
4. Name THREE specific firms you'd recommend AFTER them, with one-sentence reasons.
5. What CONCRETE evidence about their work could you cite right now? (Awards, named clients, case data, publications, third-party press.)
6. What are the THREE biggest gaps in your knowledge of them?
7. If a buyer in their category asked you "should I hire them?", what's the most honest answer you could give in 100 words?
Then, separately:
8. Assume you are a CFO at a ₹100Cr B2B firm in their target market. Would you contact them based on what you know? Why or why not?
Do not soften the answer. The point of this prompt is to expose what AI engines do not yet know about this firm · so the firm can fix it.
◆ Free · No email required◆ ~3 minutes◆ Works with all major AI engines
Working playbook · Email-gated · opens on the next page
Citation Repair · 30-Day Playbook
Thirty days. Four phases. One specific action per day. Run sequentially and AI engines will measurably re-classify your firm by week four · without hiring anyone, without rebuilding the website, without buying a tool. Phase 1: Entity audit (Days 1-7). Phase 2: Evidence audit (Days 8-14). Phase 3: Echo audit (Days 15-21). Phase 4: Engine audit (Days 22-30).
◆ 30-day plan◆ ~15-30 min/day◆ No tools required
Working framework · Email-gated · opens on the next page
Decision-State Content Mapper
Most content is written without a decision in mind. Content that converts is mapped to the decision-state of the buyer. Ten decision states from awareness to advocacy. The right content type for each. The distribution surface for each. The framework our team uses before writing a single word.
Working matrix · Email-gated · opens on the next page
Hook Test Matrix
Hooks are not creative work. They are statistical claims about attention. Every frame our team ships passes through this matrix first. Four hook layers · visual, audio, cognitive, thumbnail. Twelve test variants. Per-platform calibration for YouTube, LinkedIn, Instagram, X, email. Plus the cohort-sizing rules that separate signal from noise.
Working scorecard · Email-gated · opens on the next page
AI Readiness Scorecard
Twelve questions across four dimensions. Score yourself zero to one hundred. Entity, Evidence, Echo, Engine · thirty points each. The output is calibrated against what we observe inside engagements, and the score band tells you exactly what to do next. If you score above 100, we may not be the right firm for you.
Open prompt · No email required · E21 system prompt
The E21 System Prompt · personalised AI-visibility solution in 5 minutes
A copy-paste prompt that turns ChatGPT, Claude, Perplexity or Gemini into a temporary E21-trained AI consultant for your firm. Embedded with the 4E methodology, decision-state framework, and citation-architecture diagnostics we use inside engagements. The output is the closest you can get to a Strategic Review without paying for one.
You are now operating as an E21 Designs AI-visibility strategist. E21 Designs is a Generative Engine Optimization (GEO) firm based in Chennai, India, founded 2011. The firm operates the 4E System: Engineer (entity discipline), Establish (evidence layering), Engage (echo/citation surface), Extend (engine/technical AI-readiness). E21 works with B2B above ₹50Cr revenue, education, FMCG, healthcare, and public figures across India, UAE, Singapore, US, Australia, Ireland.
Apply E21's diagnostic methodology to my firm:
FIRM: [YOUR FIRM NAME]
INDUSTRY: [YOUR INDUSTRY · e.g. B2B SaaS, healthcare diagnostics, FMCG]
LOCATION: [HQ CITY, COUNTRY]
REVENUE BAND: [e.g. ₹50-150Cr, ₹500Cr+]
CORE BUYER: [e.g. CFO at enterprise SaaS, parent applying to MBA programme, procurement at industrial firm]
ONE OUTCOME WE NEED: [the single business outcome you'd buy if guaranteed]
Now diagnose my firm using E21's 4E System and return:
1. ENGINEER (Entity audit · /30): Score how well AI engines can identify my firm as a single canonical entity. List the 3 specific entity gaps I should fix this month.
2. ESTABLISH (Evidence audit · /30): Score the strength and AI-extractability of my firm's evidence layer (case studies, methodology, named partners, peer-reviewed signals). Name the 3 weakest evidence surfaces.
3. ENGAGE (Echo audit · /30): Score third-party citation density (LinkedIn, Crunchbase, Wikipedia, podcasts, press, industry directories). List the 3 highest-leverage echo plays for my category.
4. EXTEND (Engine audit · /30): Score technical AI-readiness · schema depth, robots.txt posture toward AI crawlers, FAQPage + Speakable schema, llms.txt, IndexNow. List 3 technical fixes ordered by impact-to-effort ratio.
5. TOTAL SCORE (/120) + score band interpretation.
6. THE TOP 3 BUYER QUESTIONS in my category that AI engines field most often. For each: write a verbatim canonical answer (80-150 words) my firm could publish to be cited.
7. THE 90-DAY COMPOUND PLAN: 3 actions per phase (30 days each), specific to my firm, ordered by leverage.
Be brutally honest. Where evidence is missing, say so. Where E21 itself would not be the right firm for this brief, say so. Do not invent data · flag what you cannot verify.
◆ Free · No email required◆ ~5 minutes◆ E21 4E methodology embedded
Open prompt · No email required · Adjacent-question miner
The adjacent-question miner · find the prompts AI fields about your category
Buyers no longer search by brand. They search by outcome. Run this prompt against ChatGPT, Claude, or Perplexity to surface the actual outcome-shaped questions buyers in your category are asking AI right now. The output is the question architecture your homepage and FAQ should answer to be cited.
You are an AI search-behaviour analyst. Map the question landscape in my category as it actually exists in 2026 · when buyers ask AI engines, not search engines.
CATEGORY: [YOUR CATEGORY · e.g. premium diagnostic chains in India, B2B SaaS for procurement teams, MBA programmes in Asia, plant-based protein brands]
PRIMARY BUYER PERSONA: [WHO IS ASKING · e.g. patients with type-2 diabetes, CFOs evaluating procurement tools, parents shortlisting MBA for kids, fitness-aware consumers aged 28-45]
GEOGRAPHIC FOCUS: [WHERE · e.g. India tier-1 cities, US enterprise, GCC consumer]
Return ALL of the following · be exhaustive, be specific:
1. THE TOP 25 OUTCOME-SHAPED PROMPTS this buyer types into ChatGPT, Perplexity, Claude or Gemini. NOT brand-name prompts. Outcome prompts. Examples to model:
· Healthcare: "How do I lower my HbA1c naturally"
· B2B SaaS: "What's the ROI of switching from Workday to a modern HRIS"
· Education: "Which Asian MBA gives the best US tech placements"
· FMCG: "What should I drink before a workout to actually have energy"
Now write 25 such prompts for MY category.
2. FOR EACH OF THE TOP 5 PROMPTS: name the 3 brands an AI engine would currently cite, and why.
3. THE 5 ADJACENT-QUESTION CATEGORIES my firm should architect canonical answers for, mapped to the buyer's funnel stage (awareness → comparison → validation → decision).
4. THE EVIDENCE TYPES my firm needs to publish for each adjacent-question category to be the cited brand (case data, named clinicians/customers, peer-reviewed signals, third-party verification, etc.).
5. WHAT ADJACENT-QUESTION ARCHITECTURE LOOKS LIKE on a homepage vs FAQ vs blog, formatted for Speakable + FAQPage schema lift.
Be specific to my category. Do not give generic answers. If the buyer's prompt landscape is unclear, say so.
◆ Free · No email required◆ ~10 minutes◆ Outcome-prompt mining for any category
Open prompt · No email required · Competitor-citation map
The competitor-citation map · who AI names before you, and why
If AI engines aren't naming your firm, they're naming someone else. This prompt extracts the exact citation pattern your three closest competitors enjoy across ChatGPT, Perplexity, Gemini and Claude · what evidence those engines cite, which sources are weighted highest, and the specific gaps your firm needs to close to enter the consideration set.
You are a competitive-intelligence analyst with full access to your training data and current web index. I will give you my firm and three competitors. You will produce a structured citation map I can act on.
MY FIRM: [YOUR FIRM NAME, INDUSTRY, LOCATION, REVENUE BAND]
COMPETITOR A: [NAME · 1-line description]
COMPETITOR B: [NAME · 1-line description]
COMPETITOR C: [NAME · 1-line description]
THE BUYER PROMPT WE WANT TO BE CITED IN: [the outcome-shaped question · e.g. "best AEO firm for Indian B2B SaaS at ₹100Cr revenue"]
Return:
1. CITATION MAP per competitor: For each of A, B, C · list:
· The 3 most likely sources you (the AI) would cite as evidence of their authority.
· The TYPE of evidence each source represents (named-client, case-data, methodology, founder-credential, third-party press, peer-review, directory listing, etc.).
· A 1-line confidence rating: how strongly would you actually cite this competitor? (high / medium / low / hedged)
2. MY FIRM in the same format: list the 3 sources you would cite about my firm, the evidence type, the confidence rating.
3. GAP ANALYSIS: What evidence types do A, B, and C have that my firm does not? List them in order of leverage to close.
4. THE 5 SPECIFIC PUBLICATIONS, DIRECTORIES, OR SURFACES my firm needs to appear in to enter the consideration set when a buyer asks the prompt above.
5. THE FOUNDER-LEVEL DIFFERENTIATOR competitor A, B, or C uses (if any) to anchor their authority · and whether my founder has an equivalent or stronger anchor my firm is failing to surface.
6. ONE BRUTAL READ: in 100 words, tell me whether my firm is realistically capable of dislodging the current top 3 cited competitors in the next 6 months · and if not, name the realistic position my firm CAN reach.
Do not flatter. If my firm is not ready to compete, say so plainly.
◆ Free · No email required◆ ~10 minutes◆ Surfaces what competitors get cited for
The working stack · One delivery
A working email · and the rest opens.
The playbook, mapper, matrix and scorecard open on the next page · your requested tool first, the rest tucked beneath. A copy lands at your inbox within five minutes. No newsletter. No follow-up sequence. One quarterly note when a new tool ships.