--- name: assess-seo-feasibility title: Decide Whether SEO Is Worth It description: An SEO feasibility prompt that weighs demand, competition, authority gap, and economics into a clear verdict on whether SEO is worth it for your business before you commit budget. cluster: seo version: 1.1.0 --- # Decide Whether SEO Is Worth It This prompt gives you a defensible go or no go verdict on investing in organic search. It pressure tests whether real demand exists, whether the results pages are winnable, how far your authority sits below the incumbents, whether the economics break even in a tolerable window, and how long it will realistically take. You walk away with a recommendation you can defend to a skeptical stakeholder instead of a hopeful guess. ## When to use this → A stakeholder assumes SEO is the obvious channel and you need to confirm or push back with evidence before any budget moves. → You are scoping a new content program and want to size demand, competition, and break even before writing a single brief. → Organic traffic is flat, declining, or not converting, and you need to decide whether the channel can ever pay or whether the money belongs elsewhere. ## The prompt ```text You are a senior SEO strategist who has run organic programs across competitive B2B software and DTC ecommerce niches. You are blunt about when SEO is the wrong channel, because recommending it into an unwinnable market wastes months of budget. Your job is to deliver a go or no go verdict on investing in SEO, backed by explicit thresholds and a realistic timeline. CONTEXT → Business and offer: {{WHAT_YOU_SELL}} → Price point and buying motion: {{PRICE_AND_SALES_CYCLE}} (e.g. self serve $30/mo, or five figure enterprise with a 6 month cycle) → Primary goal: {{GOAL}} (e.g. direct revenue, pipeline, email list growth, audience building for acquisition) → Target search terms or topics you think matter: {{CANDIDATE_KEYWORDS}} → Your current domain strength: {{YOUR_DOMAIN_RATING}} (Ahrefs DR or equivalent, if known) → What you already know about the results pages and rivals: {{SERP_AND_COMPETITOR_NOTES}} → Budget and time horizon you can commit: {{BUDGET_AND_HORIZON}} → How buyers currently find you: {{HOW_BUYERS_FIND_YOU_TODAY}} Before you assess, check the inputs against this list: whether real search demand exists for the offer, whether the product has product market fit, your domain rating versus the incumbents, whether ad or sales data exists to reveal converting terms, and what break even window is acceptable. If any are missing, ask up to five clarifying questions in a single message and wait for my answers before you continue. You cannot look up live data, so never invent search volumes, domain ratings, publish dates, or link counts; every number you use must either come from my inputs or be labeled ASSUMPTION with the reasoning behind it. METHOD Step 1: Demand and channel fit. Confirm people already search for what this offer solves. If the idea is novel with no existing search volume, SEO is a poor fit, because you would have to create demand, which is slow and expensive through organic search; faster channels (video, short form, social, community) suit demand creation better. Also confirm buying does not happen mainly through relationships or a personal following rather than search. If demand must be created or buying is relationship led, lean toward no go and say so. Step 2: Product market fit gate. Do not recommend a full SEO investment on an unproven offer you are not sure converts, unless the stated goal is purely audience building. Flag this risk if fit is unclear. Step 3: Competition and results page winnability. For the candidate terms, assess: is the results page dominated by native product documentation or the original publisher of the answer (a third party page struggles even when it ranks)? Is it choked with ad carousels, People Also Ask boxes, video, and AI overviews that strip the clicks available even from a top position? Will searchers actually pick this offer over a built in or good enough alternative? Downgrade any term that fails these. Step 4: Authority gap. Compare your domain rating to the incumbents. As rough operating thresholds: DR 30 to 40 means content is generally not viable yet and link building comes first; DR 60s can rank for low competition terms; DR 70s can compete and publish aggressively. If you sit far below the leaders, you must win with different (less contested) keywords, deeper and harder to replicate content, or more links. State the size of the gap plainly. Step 5: Source of converting terms. The strongest terms rarely come from a keyword tool sorted by volume, since everyone sees that list. Prefer terms surfaced from paid ad data (what already converts), from listening to sales calls, and from searching call transcripts for the customer's own phrasing. Note whether these sources exist here. Step 6: Economics and break even. Estimate cost to outcome, not cost to operate. Sum content cost (cost per piece times cadence), management overhead, and link building effort against expected conversions and customer value. If break even lands far out (for example around two years), the levers are: raise conversion rate, lower cost per piece, or target higher volume or higher intent terms. State which lever this business should pull. Step 7: Realistic timeline. Do not quote a generic "six months." Reverse engineer the winner: use the current number one page's original index date as a proxy for its publish date, count months to peak visibility, add roughly a month of creation time, and read the referring domain pace to see the link build rate you must match. Add buffer for your authority gap, then multiply per page effort across the number of money pages needed to move the business. If my inputs do not include the incumbent's publish date or referring domain pace, do not guess them; give me the exact lookup steps instead (a site search plus a web archive check for the publish date, a backlink tool's referring domains chart for link pace) and mark the timeline provisional until I supply those numbers. Step 8: Verdict. Combine the above into GO, CONDITIONAL GO, or NO GO. For a conditional go, name the specific conditions (for example: start bottom of funnel only, build links for two quarters first, or target a narrower term set). For a no go, name the better channel. OUTPUT FORMAT 1. Verdict: GO, CONDITIONAL GO, or NO GO, in one line. 2. Scorecard: demand, product fit, competition and results page, authority gap, term sourcing, and economics, each rated High, Medium, Low, or Zero with one sentence of reasoning. 3. Realistic timeline to first meaningful results and to break even, with the assumptions behind each. 4. Recommended path: the specific first moves (or the alternative channel if no go). 5. Risks and what would change the verdict. 6. Facts to verify: list every external data point the verdict leans on (search volumes, incumbent domain ratings, the number one page's publish date, referring domain pace), each with where I can check it, so I can confirm the inputs before acting on the verdict. SELF CHECK before finishing: → Verify every threshold and number is either grounded in the inputs or explicitly labeled an assumption, and that each assumption appears in the facts to verify list. → Confirm you did not recommend a term where native documentation or the original publisher owns the results page. → Confirm ranking high was not conflated with getting clicks; a top position on a noisy or brand dominated results page can still yield almost none. → Avoid the vanity trap: high traffic on a definition or "what is" term with no buyer relevance is not a reason to say go. → If demand must be created or buying is relationship led, make sure the verdict reflects that SEO is likely the wrong channel. ``` ## Prompt versions The standard prompt above works on any model. Use these variants when you want a different tradeoff. ### Frontier model version Built for the most capable models (Claude Opus and beyond). States the goal, constraints, and quality bar up front, then trusts the model to choose its path. ```text You are a senior SEO strategist who is blunt about when SEO is the wrong channel, because recommending it into an unwinnable market burns months of budget. Your goal: deliver a defensible GO, CONDITIONAL GO, or NO GO verdict on investing in organic search for the business below. Lead your output with the verdict on the first line; put the scorecard, timeline, and reasoning underneath. CONTEXT → Offer: {{WHAT_YOU_SELL}} → Price and buying motion: {{PRICE_AND_SALES_CYCLE}} → Primary goal: {{GOAL}} → Candidate terms or topics: {{CANDIDATE_KEYWORDS}} → Current domain strength: {{YOUR_DOMAIN_RATING}} → Results page and rival notes: {{SERP_AND_COMPETITOR_NOTES}} → Budget and horizon: {{BUDGET_AND_HORIZON}} → How buyers find you today: {{HOW_BUYERS_FIND_YOU_TODAY}} Decision principles (apply, do not narrate): → SEO needs existing search demand. If demand must be created or buying is relationship led, lean NO GO and name the faster channel. → Do not back a full investment on an unproven offer unless the goal is pure audience building. → Downgrade any term whose results page is owned by native product documentation or the original publisher, or where ad carousels, People Also Ask, video, and AI overviews strip the clicks so ranking high still earns almost none. → Judge the authority gap against the incumbents: roughly DR 30 to 40 means links come before content, DR 60s can take low competition terms, DR 70s can compete aggressively. Below the leaders, you win with less contested terms, deeper content, or more links. → The best terms come from paid ad data, sales calls, and call transcripts, not a volume sorted keyword tool. Note whether those sources exist. → Estimate cost to outcome, not cost to operate. If break even lands far out, name the lever to pull: conversion rate, cost per piece, or higher volume or intent terms. → Reverse engineer the timeline from a real incumbent (its index date as a publish proxy, months to peak, referring domain pace), add buffer for your gap, and multiply per page effort across the money pages needed. Never quote a generic six months. Quality bar for excellent output: → Verdict on line one, then a scorecard rating demand, product fit, competition and results page, authority gap, term sourcing, and economics, each with one sentence of reasoning. → A reverse engineered timeline to first results and to break even, with its assumptions stated. → A recommended path (first moves, or the alternative channel on a no go), the risks, and what would flip the verdict. → A facts to verify list covering every external data point the verdict leans on, each paired with where to check it. Boundaries: → You cannot look up live data. Never invent search volumes, domain ratings, publish dates, or link counts. Every number comes from my inputs or is labeled ASSUMPTION with reasoning and appears in the facts to verify list. → Do not conflate ranking high with getting clicks, and do not treat high traffic on a definition term with no buyer relevance as a reason to say go. → Do not pad with generic SEO advice. → If a required input is missing (demand evidence, product fit, domain rating versus incumbents, converting term source, acceptable break even window, incumbent publish date or link pace), ask up to five focused questions in one message and wait rather than guessing. ``` ### Quick version Five lines or fewer, for when speed matters more than rigor. ```text Give me a GO, CONDITIONAL GO, or NO GO on SEO for {{WHAT_YOU_SELL}} (goal: {{GOAL}}), targeting {{CANDIDATE_KEYWORDS}} at domain rating {{YOUR_DOMAIN_RATING}} against {{SERP_AND_COMPETITOR_NOTES}}. Verdict on line one, then a one line reason each for demand, results page winnability, authority gap, and break even economics. You cannot look up live data: never invent search volumes, ratings, or dates; label any assumption and flag what I must verify. If demand must be created or buying is relationship led, say SEO is the wrong channel and name a better one. ``` ## How to customize → `{{WHAT_YOU_SELL}}`: the offer and category, for example "cloud backup add on for Jira" or "paleo dessert ecommerce brand." → `{{PRICE_AND_SALES_CYCLE}}`: price point and buying motion, for example "$49/mo self serve" or "five figure integration platform, 6 month enterprise cycle." This drives how you measure conversion. → `{{GOAL}}`: the outcome you are optimizing for; revenue, pipeline, email list growth, or audience building for a future acquisition all reshape the verdict. → `{{CANDIDATE_KEYWORDS}}`: the specific terms or topics you believe matter; include competitor comparison and pain point queries, not just head terms. → `{{YOUR_DOMAIN_RATING}}`: your Ahrefs DR or equivalent if known; leave blank and the model will ask. → `{{SERP_AND_COMPETITOR_NOTES}}`: anything you already see on the results pages (ad carousels, AI overviews, brand documentation) and how long the number one result has held. → `{{BUDGET_AND_HORIZON}}`: the money and patience you can commit; a two year break even is fine only if the horizon supports it. → `{{HOW_BUYERS_FIND_YOU_TODAY}}`: whether buyers arrive through search, referrals, a founder's following, or paid; relationship led buying often argues against SEO. ## What good output looks like → A clear GO, CONDITIONAL GO, or NO GO in the first line, not a hedged maybe. → Each scorecard axis is rated with a reason tied to your inputs, and every number is either sourced from your data or explicitly labeled an assumption. → The timeline is reverse engineered from a real incumbent's publish date and link pace, not a generic "six months," and it is multiplied across the number of money pages you actually need; when that data is missing from your inputs, the response tells you exactly how to look it up and marks the timeline provisional instead of inventing numbers. → For a no go, the response names the faster or better channel; for a conditional go, it names the exact conditions to satisfy first. → It flags when ranking high would still yield few clicks because the results page is brand dominated, noisy, or served by AI overviews. → It ends with a facts to verify list covering every external data point the verdict leans on, each paired with where to check it. ## Related prompts → [Build a Bottom of Funnel Keyword Strategy](../seo/build-a-bottom-of-funnel-keyword-strategy.md): once the verdict is go, start here to prioritize the commercial intent terms that actually convert. → [Audit Technical SEO on an Ecommerce Site](../seo/audit-ecommerce-technical-seo.md): if the verdict hinges on a struggling existing site, run this to see whether foundations are holding you back. → [Decide to Refresh, Rewrite, or Remove Content](../seo/refresh-rewrite-or-remove-content.md): when flat or declining traffic drove this assessment, use this to triage the existing library.