💸 What if the cheapest AI model is actually costing your business the most money?

A cheaper model might take ten attempts to complete a task, while a more expensive one gets it right first time. Add the hours spent correcting mistakes, and suddenly the cheaper option doesn't look so cheap.

In this episode of The AI and Marketing Podcast for Local Businesses, Adam and Josh unpack Anthropic's research into the real cost of AI, Claude Opus 5.5's new pricing and why businesses should measure the cost of completing a task, not simply the price of an AI subscription.

Here is what we break down 👇

🤖 What are you actually paying for? We explain AI models, tokens and APIs in plain English, including how usage-based pricing differs from a monthly subscription.

💰 Fresh input, output and cached input. Why AI companies charge for new information, generated answers and previously processed information that can be reused more cheaply.

🧠 Are you paying for AI's thinking time? Advanced models can perform additional reasoning before answering, and that processing can contribute to your costs.

📉 Claude Opus 5.5's price reductions. Anthropic reports 20% cheaper standard input and output tokens, plus 60% cheaper cached input reads compared with Opus 5.

🔄 The hidden cost of repeated attempts. Every correction and retry can increase processing costs. A cheap first response does not necessarily mean a cheap completed task.

⚡ When paying more saves money. A more capable model may complete complex work with fewer mistakes, while a simpler model may be sufficient for straightforward administration.

🧩 Why reasoning effort matters. We explain low, medium and high reasoning settings, and when additional thinking could prevent expensive mistakes.

✅ Why AI should check its own work. Testing website functionality, checking calculations and verifying content can catch errors before they reach you.

⏳ Your time is the biggest hidden cost. If AI generates something in 30 seconds but you spend an hour correcting it, are you really saving money?

🏢 Five practical ways to reduce AI costs. Give better instructions, choose the right model, introduce useful checks, reuse information and measure the finished outcome.

🎯 The biggest takeaway

Stop asking:

"How much does this AI model cost?"

Start asking:

"How much does it cost to get the job done properly?"

The cheapest AI model is not necessarily the most cost-effective.

Measure the total cost of completing the task, including AI usage, repeated attempts and your own time.

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💥 Exclusive Listener Offer:

Get 20% off Website Design or SEO & AI Search services when you quote PODCAST20.

Website Design: hello@websitedesigners.london | www.websitedesigners.london

SEO & AI Search: hello@improvemysearchranking.com | www.improvemysearchranking.com

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📚 Anthropic research:

https://claude.com/blog/what-a-task-costs-on-opus-5-5

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Keywords: AI costs, Claude Opus 5.5, Anthropic, AI pricing, AI productivity, ChatGPT vs Claude, AI tokens, cached input, AI reasoning, AI automation, AI cost optimisation, AI for small businesses, business efficiency, AI marketing.

💸 What if the cheapest AI model is actually costing your business the most money?

A cheaper model might take ten attempts to complete a task, while a more expensive one gets it right first time. Add the hours spent correcting mistakes, and suddenly the cheaper option doesn't look so cheap.

In this episode of The AI and Marketing Podcast for Local Businesses, Adam and Josh unpack Anthropic's research into the real cost of AI, Claude Opus 5.5's new pricing and why businesses should measure the cost of completing a task, not simply the price of an AI subscription.

Here is what we break down 👇

🤖 What are you actually paying for? We explain AI models, tokens and APIs in plain English, including how usage-based pricing differs from a monthly subscription.

💰 Fresh input, output and cached input. Why AI companies charge for new information, generated answers and previously processed information that can be reused more cheaply.

🧠 Are you paying for AI's thinking time? Advanced models can perform additional reasoning before answering, and that processing can contribute to your costs.

📉 Claude Opus 5.5's price reductions. Anthropic reports 20% cheaper standard input and output tokens, plus 60% cheaper cached input reads compared with Opus 5.

🔄 The hidden cost of repeated attempts. Every correction and retry can increase processing costs. A cheap first response does not necessarily mean a cheap completed task.

⚡ When paying more saves money. A more capable model may complete complex work with fewer mistakes, while a simpler model may be sufficient for straightforward administration.

🧩 Why reasoning effort matters. We explain low, medium and high reasoning settings, and when additional thinking could prevent expensive mistakes.

✅ Why AI should check its own work. Testing website functionality, checking calculations and verifying content can catch errors before they reach you.

⏳ Your time is the biggest hidden cost. If AI generates something in 30 seconds but you spend an hour correcting it, are you really saving money?

🏢 Five practical ways to reduce AI costs. Give better instructions, choose the right model, introduce useful checks, reuse information and measure the finished outcome.

🎯 The biggest takeaway

Stop asking:

"How much does this AI model cost?"

Start asking:

"How much does it cost to get the job done properly?"

The cheapest AI model is not necessarily the most cost-effective.

Measure the total cost of completing the task, including AI usage, repeated attempts and your own time.

--

💥 Exclusive Listener Offer:

Get 20% off Website Design or SEO & AI Search services when you quote PODCAST20.

Website Design: hello@websitedesigners.london | www.websitedesigners.london

SEO & AI Search: hello@improvemysearchranking.com | www.improvemysearchranking.com

--

📚 Anthropic research:

https://claude.com/blog/what-a-task-costs-on-opus-5-5

--

Keywords: AI costs, Claude Opus 5.5, Anthropic, AI pricing, AI productivity, ChatGPT vs Claude, AI tokens, cached input, AI reasoning, AI automation, AI cost optimisation, AI for small businesses, business efficiency, AI marketing.

🤯 Josh built a website with AI in around 30 minutes, forgot about it, and discovered it was generating over 20 enquiries a month, potentially worth £15,000 in work!

No ongoing content strategy. No constant SEO tweaks. Not even a phone number or email address displayed on the website.

Just AI, a simple SEO strategy and an experiment that delivered some surprising results.

In this episode of The AI and Marketing Podcast for Local Businesses, Adam and Josh reveal how the website was built, the SEO strategy behind it, what happened after it went live and why AI is making website creation easier while making marketing strategy more valuable than ever.

Here is what we break down 👇

🤖 Building a website with AI in 30 minutes. Josh explains how he used Claude and Netlify to create a functioning website, including the homepage, service pages, navigation, copy and enquiry functionality.

⚡ One-shotting the initial SEO. Around 20 minutes of keyword research helped shape the website's content, page structure and internal linking.

🔍 The surprisingly simple SEO strategy. Rather than chasing traffic for the sake of traffic, the website targeted people actively searching for property surveying and structural engineering services across London.

📍 Why location pages matter. Dedicated pages targeted relevant services and locations with genuine search demand, supported by useful information about property types, services, processes and FAQs.

😴 Then Josh forgot about it. This was an experiment rather than a client campaign. After completing the initial setup, he moved on to other things and largely left the website alone.

📈 The results. A few months later, the website had started ranking and was generating more than 20 high-intent enquiries every month.

💷 Where does the £15,000 figure come from? Josh assessed the potential value of the enquiries and estimated they represented around £15,000 of monthly work. Importantly, this is potential lead value, not guaranteed revenue or profit.

🧠 AI can build websites, but can it build successful businesses? AI has dramatically reduced the time required to create layouts, code, copy and functioning websites. But generating a website does not automatically mean generating customers.

🎯 Why strategy is still the valuable part. Understanding commercial keywords, local search demand, customer intent, website structure, trust signals and conversion optimisation is what turns a website into a potential customer acquisition channel.

⚠️ The lesson is not to build a website and forget about it!

This experiment demonstrates what can happen when you combine AI with a focused SEO and conversion strategy.

AI makes building the website easier.

SEO gets it found.

Strategy turns visibility into enquiries.

If you're a local business owner wondering whether AI can genuinely help you build a website that generates customers, this is an episode you won't want to miss.

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💥 Exclusive Listener Offer:

Get 20% off Website Design or SEO & AI Search services when you quote PODCAST20.

Website Design: hello@websitedesigners.london | www.websitedesigners.london

SEO & AI Search: hello@improvemysearchranking.com | www.improvemysearchranking.com

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Keywords: AI website builder, build a website with AI, Claude AI, Netlify, AI website design, local SEO, SEO case study, AI SEO, website lead generation, local business marketing, service area SEO, location pages, conversion optimisation, AI marketing, UK small business.