LLMs like ChatGPT Deliver Profit Now
It happens in two stages:
Those two parts each have 3 Tiers explained below. Tiers 2 and 3 include the prior Tier. For example, if a client starts with Tier 1 and later opts for Tier 2, only the difference in cost is invoiced. In professional services, 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 (such variation is why SEO toolsets prioritize poorly).
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).
To profit, please contact DISC for a proposal now.
1) Optimize Your Cloud for AI/LLMs (OCA)
Embracing AI/LLM accelerates profit now, but most companies aren’t prepared. Proper setup and simple guidelines prevent LLM inaccuracies and hallucinations while maximizing “token limits,” so that LLMs accomplish missions you give them.
Proper setup begins with Optimizing our Cloud (file system) for AI/LLMs (LLMs are a subset of AI). DISC ensures you integrate both long-established and AI-specific practices in your firm’s knowledge management. This enables your LLM assistants to amplify and expedite human expertise, so you achieve marketing and business goals like never before.
DISC’s “OCA” Process Includes:
- A questionnaire.
- Audit of your cloud’s LLM readiness.
- A final report with prioritized tasks.
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 DISC’s IT resources–implements. Time/cost estimates multiplied by importance determines priorities.
Optimized cloud organization is justified by LLM readiness alone, yet it almost always benefits firms regardless of LLMs, delivering double value. A cloud organized in line with your current workflow, one that contains all needed while linking to subordinate knowledge as needed, is the very definition of the successful firm. Your new GPT assistant will love it as much as your people do.
OCA Pricing
Every firm has different quantities and qualities of cloud documents and usage, so it’s impossible to predict the most fitting Tier before Discovery.
- Discovery: Most DISC services begin with a low-cost Discovery phase, to be sure your firm will benefit before going further. Your delivered report projects your ROI and gives valuable, actionable guidance even if it determines that proceeding further is not worthwhile, which is rare. $775
- 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; a record of improvements without clear net benefit prevent wasting time in future consideration. $9000+, depending on needs discovered.
Your team’s time:
- Baseline: ~3 hours to answer a questionnaire, provide cloud view-only access (samples alone are OK), and digest the final report.
- Additional time: 2 more hours per each of Tiers 2 and 3.
2) Deploy Your LLM Professional “GPT”
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. We believe OpenAI’s “GPT” system is best, but the process is similar for Claude’s “Projects” and other LLMs, which we setup if your prefer.
Building your custom LLM is akin to orienting a new professional employee: provide key company documents, specify objectives, and outline procedures, output formats, and success metrics.
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 higher conversion rates 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 comes pre-trained. 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, public domain medical studies, and much more. It also includes all public content from your website up to the most recent database refresh. The P in ChatGPT refers to “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, and provide relevant 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 setup and “prompting.”
- Your GPT’s Knowledge Base will include key proprietary documents that guide the GPT in achieving your goals. These documents may encompass product or service descriptions, target market briefs, web pages, and briefs about your firm’s mission and personality. LLMs’ Knowledge Base has a “token limit” now equivalent to the novel Moby Dick but increasing quarterly. There are methods for fitting much more than that, but this is a good rule of thumb.
- 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.
- 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 much more. DISC provides guidelines and templates to ensure that your “prompts” produce optimal outputs.
Trial Run, Review, Tuning, Final Delivery
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.”) To understand what complete SEO is today, see DISC’s SEO page and the blog post, Now Core SEO Can Long Endure.
DISC conducts the first round, followed by your team’s second round which DISC reviews with you for final tuning.
Your team receives the built GPT along with a clear multimedia guide. As a DISC client, you gain access to a GPT that covers typical Q&A about using the GPT. (The drive to automate help Q&A fueled the rise of the entire LLM industry in the first place.) DISC’s 3 Tiers include follow-up consulting to ensure efficacy.
Pricing for Your Custom GPT Pro
- Discovery: Most DISC services begin with a low-cost Discovery phase, to be sure your firm will benefit before going further. Your delivered report projects your ROI and gives valuable, actionable guidance even if it determines that proceeding further is not worthwhile, which is rare. $775
- 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. $9000+, depending on needs discovered
Specialized SEO GPTs: Discovery may reveal that one or more GPTs dedicated to SEO sub-tasks would deliver positive ROI within one year, in which case DISC will quote those GPTs. Examples:
- 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 $1500 and $4000.
Your team’s time:
- 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.