This is accomplished in two stages:

  1. Optimize Your Cloud for AI/LLMs
  2. Deploy Your LLM Professional “GPT”

LLMs and customized GPTs are ideal for SEO content, and by them you learn essentials of LLM application to other areas of business (and life).

Embracing AI/LLM now accelerates profit, but most companies aren’t adequately prepared. Token limits, inaccuracies, and hallucinations can undermine efforts without proper guidance.

Our package solves this problem by optimizing your file system (cloud) before starting your AI journey. We integrate both long-established and AI-specific practices for information management. 

LLM assistants expedite and amplify human expertise, helping you achieve your marketing and business goals like never before.

DISC’s “OCA” Process Includes:

  1. A questionnaire. 
  2. Audit of your cloud’s LLM readiness. 
  3. A final report with prioritized tasks to ready your cloud for LLMs, accelerating the ROI of your business processes. 

Implementing the report’s tasks is mostly a clerical tech process. Based on the questionnaire, the final report suggests who–your team or vendor or an IT partner DISC recommends–implements, and the report estimates time/cost.

Optimized cloud organization is justified by LLM readiness alone, yet it almost always benefits firms regardless of LLMs, delivering double value.

Every firm has different quantities and qualities of cloud documents and processes, so it’s impossible to predict the most fitting Tier before Discovery. 

  • Discovery: Most DISC services begin with a low-cost Discovery phase. Its purpose is to be sure your firm will benefit before going further. By questionnaire and tests DISC runs, we estimate your ROI. This process delivers valuable, actionable guidance even if we determine that proceeding further is not worthwhile. $475
  • Tier 1: Audit and priority 1 and 2 (of 5) cloud improvements. $3000
  • Tier 2: Audit and priority 1 through 3 cloud improvements. $6000
  • Tier 3: Audit and priority 1 through 5 cloud improvements. Typically, priority 5 items are left undone–it’s beneficial to have a list of all improvements considered but rejected as unlikely to contribute enough ROI. $9000+, depending on needs discovered

Your team’s time: 

  • Baseline: ~3 hours to answer a questionnaire, provide cloud view-only access, and digest the final report.
  • Additional time: 2 more hours per each of Tiers 2 and 3.
  • Outcome: The Discovery phase will estimate implementation time and ROI, with each Tier refining and specifying time/cost investments and net returns for the first and subsequent years.
Overview

This section outlines building your LLM SEO pro assistant (“GPT”), but the process applies to any business GPT.

Here, “GPT” refers to the LLM pro assistant DISC will build for you, whether it’s an OpenAI (ChatGPT) “GPT” or Claude’s equivalent “Project.” Both are optimal for small and medium-sized businesses, with similar build processes and quality. The choice depends on fine points revealed during the Discovery phase.

Building an LLM is akin to orienting a new professional employee. You’d provide key company documents, specify objectives, and outline procedures, output formats, and progress reports. DISC (or any GOOd LLM pro) follows a similar process to set up an LLM assistant.

DISC begins your LLM deployment with website SEO because this area is especially well-suited for LLM application, and most businesses seek more prospects and more conversions to customers. The process of making and using an SEO GPT will train your team to use LLMs for other vital marketing and operations.

Your GPT is Pre-trained

Like a professional employee, the LLM is pre-trained in its field. ChatGPT, for instance, has a vast database of public and curated content, such as national, state, and local laws, Google’s ~3000 pages of SEO guidance, paywalled content from major newspapers, and public domain medical studies. It also includes all public content from your website up to the most recent database refresh. The P in ChatGPT references “pre-trained,” just as, you hope, a professional employee is pre-trained in his field.

Informing Your GPT

The process is straightforward: you inform the GPT of what you want it to do and provide necessary documents. The art and science of using LLMs involve understanding how they work and tuning instructions accordingly. LLM failures, whether ridiculous or dangerous, almost always stem from poor informing and “prompting.”

  1. Your GPT’s Knowledge Base includes key proprietary documents that guide the GPT in achieving your goals. This may encompass product or service descriptions, target market briefs, sample web pages, and marketing guidelines about your firm’s mission and personality. The Knowledge Base has a “token limit,” roughly equivalent to Adventures of Huckleberry Finn and Moby Dick combined. This oversimplifies the token limit (there are methods for fitting much more than that), but it’s a good rule of thumb.
  2. GPTs’ Custom Instructions are crucial. They explain what you want the GPT to do and ensure it utilizes your Knowledge Base while reporting on its steps and reasoning.
  3. Once your GPT is built, you can use it to produce SEO’d pages, critique contracts, improve employee handbooks, write sales scripts, design a logo or brochure or other marketing materials, and more. This process, known as “prompting,” is vital, and DISC provides guidelines and templates to ensure optimal outputs.
Trial Run, Review, Tuning, Final Delivery

DISC conducts the first round, followed by your team’s second round, which DISC reviews with you for final tuning.

Your team receives a copy of the GPT along with a clear multimedia Guide. As a DISC client, you gain access to a GPT that covers most typical Q&A, a feature that helped give rise to the entire LLM industry. DISC’s three Tiers include follow-up consulting.

About DISC’s 3-Tier system: In professional services like SEO and CRO, prioritizing tasks is based on deep expertise and long experience, yet it should be made as objective as possible through ROI Projections. That’s how DISC proceeds here. Each tier goes further down the priority list, which varies for each client (a reason why SEO toolsets are prioritize poorly). Tiers 2 and 3 include the prior Tier. If a client starts with Tier 1 but later opts for Tier 2, the additional cost for Tier 2 would be $2000, bringing the total to $3000.

Your SEO GPT applies to website content. Technical SEO (server and code foundations), which average about a third of SEO work, will likely remain beyond the capabilities of LLMs for 3 to 5 years because of the highly contextual, precisely sequenced, and multidisciplinary nature of Technical SEO. (For a deeper explanation of this LLM limitation, see this blog paragraph under “A 2-Dimensional Model for Understanding the Integration Imperative.”) See DISC’s SEO services page and blog post, Now Core SEO Can Long Endure, to understand what complete SEO is.

  • Discovery: Most DISC services begin with a low-cost Discovery phase. Its purpose is to be sure your firm will benefit before going further. By questionnaire and tests DISC runs, we estimate your ROI. This process delivers valuable, actionable guidance even if we determine that proceeding further is not worthwhile.. $475 
  • Tier 1: Audit and priority 1 and 2 (of 5) SEO improvements. $3000
  • Tier 2: Audit and priority 1 through 3 cloud improvements. $6000
  • Tier 3: Audit and priority 1 through 5 SEO improvements. Typically, priority 5 items are left undone—it’s beneficial to have a list of all improvements considered but rejected as unlikely to contribute enough ROI. $9,000+, depending on needs discovered
  • Specialized SEO GPTs: Discovery may reveal that one or more specialized GPTs would deliver positive ROI within one year. A client’s specific circumstances may mean a GPT isn’t necessary, in which case DISC delivers our longstanding packages.
    • Local and Reviews SEO (LR-SEO)
    • Video SEO
    • News and article site SEO
    • Advanced Schema.org semantic markup.
    • These GPTs are custom priced, but expect between $3000 and $6000.
  • Baseline: ~5 hours to answer a questionnaire, learn the GPT, and use it for a first project. 
  • Additional time: 2 more hours per each of Tiers 2 and 3.
  • Outcome: The Discovery phase estimates implementation time and ROI, with each Tier refining and specifying time/cost investments and net returns for the first and subsequent years.