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Cost dossier 9 min read Updated September 23, 2026

$1,000 a month, everything included: a college-prep platform's real marketing proposal

In short

An online college-readiness platform serving students and families across the US was quoted a flat $1,000 a month, USD, covering 200 pages of SEO content a month, technical fixes, indexing across Google and AI answer engines, and Google Ads management capped at $2,500 a month in ad spend. It was sent after an acquisition-focused inquiry.

Key facts

  • The client runs an online platform that helps students and families assess and improve college readiness, offering free tools and paid coaching services, sold across the US rather than in a single city.
  • The platform's own homepage was a client-rendered app: the raw HTML delivered to a browser or crawler before any script ran was about 3.3 kilobytes, meaning almost no content existed for a search engine or an AI crawler to read directly.
  • 85 pages were listed in the platform's own sitemap, but all 85 rendered the same way, meaning rankable tools the business had already built were effectively invisible to search.
  • The sent offer was a flat USD $1,000 a month covering SEO with 200 pages of content a month, technical SEO fixes, AI-platform and Google indexing, Google Ads management up to a $2,500 a month spend ceiling, and hands-on branding.
  • The proposal included a 30-day money-back guarantee and no long-term contract, and was sent the same day the client's inquiry arrived.

The business behind this proposal

The client operates an online platform aimed at students and their families going through the college application process, built around a free readiness assessment and a set of real tools: study planning, essay coaching, a college matching recommender, an application timeline, and a financial aid estimator. The client's own words described the platform as having a working product and a new flagship offering, but struggling specifically with getting people to find it.

Unlike most of the businesses in this series, this client has no single physical location or metro area; it sells to students and families anywhere in the US through its website, which makes search and AI-answer visibility close to the entire acquisition channel rather than one channel among several.

What the audit found

The platform is built as a client-rendered web application, meaning the actual words on every page are written into the page by JavaScript running in a visitor's browser rather than being present in the file a server first sends out. Measured directly, that first file for the homepage was roughly 3.3 kilobytes, essentially just a page shell and a tracking snippet, with none of the platform's real content in it.

That matters because a search engine or an AI crawler does not always run every script the way a human's browser does. The platform's sitemap listed 85 separate URLs, including genuinely useful, rankable free tools, but all 85 shared the same client-rendered problem. The homepage also carried no structured data at all, and its favicon file was an empty placeholder rather than an actual icon.

What was in the proposal

The offer bundled five things into one flat monthly fee: search engine optimization built around 200 pages of new content a month, technical SEO work aimed specifically at making the platform's real HTML, structured data, and page speed readable without relying on a script running first, indexing work across both Google Search and named AI answer engines, Google Ads management with spend capped at $2,500 a month, below which the client could spend as little as they chose, and hands-on branding work.

A one-page sample homepage was built and shown alongside the pitch, styled to read as a more serious, established institution than the platform's existing generic software-company look, while using only the client's own real statistics, tools, and motto throughout, with no invented enrollment or outcome numbers added anywhere.

The price and what moved it

The number sent was a flat USD $1,000 a month, with no ladder and no separate one-time fee, bundling SEO, technical fixes, AI-platform indexing, a capped Google Ads spend, and branding work into a single figure rather than stepped tiers.

A flat number rather than a ladder made sense here because the scope itself was already bundled tightly around one underlying problem: content that existed but could not be seen by the systems that would otherwise send it traffic. There was no separate revenue or lead-volume metric obviously available to tie a ladder to, since the platform's own product mixes free tools with paid coaching in a way that does not map cleanly onto a single number.

What was left out

The sample homepage did not invent any enrollment numbers, completion statistics, or outcome claims beyond what the platform's own existing marketing already stated publicly, such as the number of colleges its matching tool analyzes. No case study or client testimonial was added, since building a fabricated one would have contradicted the entire pitch, which was about making the platform's real, already-built tools visible rather than making new claims about them.

The design direction for the sample deliberately avoided using recognizable photography of any specific well-known university campus, to sidestep any suggestion of an affiliation the platform does not have.

Where it stands now

The proposal was sent the same day the inquiry came in, after the audit above was completed and a sample homepage direction was built for review. The source record notes that the sample direction, the send timing, and the standard month-to-month framing were all still open for the client's confirmation as of the most recent update.

What the client did with it afterward is not part of the record this page is built from.

Related questions

The numbers on this page are lifted from a real SearchPod file, with every trace of the platform's identity removed. What is shown matches exactly what the client saw on the date sent, not a current rate, and since the record this page relies on never states a decision, only the send itself is claimed.

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