The Global AI Licensing Market

The AI content licensing market reached an estimated $816 million in 2024 across 34 reported deals, with total commitments of $2.92 billion due to multi-year agreements. The average deal size was approximately $24 million, with an average term of 3.5 years.

OpenAI has been the most active buyer, accounting for 53% of deals, followed by Google and Gemini at 12%, Microsoft at 9%, and Meta at 6%. Notable agreements include News Corp’s deal with OpenAI, reportedly worth over $250 million over five years, and a separate agreement with Meta valued at up to $50 million per year for three years.

In India, OpenAI signed partnerships with Bennett, Coleman and Co Ltd and the Indian Express Group, estimated at approximately $5 million and $3 million annually respectively.

Which Publishers Have Signed Deals with Each AI Platform

OpenAI and ChatGPT Partnerships

OpenAI has secured 18 licensing deals as of October 2026. Global partners include Axel Springer (reportedly $30 million annually), Financial Times ($10 million annually), Associated Press, Hearst, Condé Nast, Le Monde, Prisa Media, Vox Media, Dotdash Meredith, TIME, Future, GEDI, Guardian Media Group, and Village Media.

These partnerships represent the premium tier of publishers feeding AI models, where content providers receive both compensation and preferential citation treatment. The Financial Times deal includes historical archive access and real-time content integration, allowing ChatGPT to cite breaking news within hours of publication.

In India, both Bennett, Coleman and Co and the Indian Express Group provide access to English and Indian-language publications, setting precedents for valuation and terms that other regional publishers now use as benchmarks.

Google Gemini and AI Overviews

Google’s News AI pilot programme includes more than 400 publications globally as of October 2026. Named partners include Axios, CNN, The Financial Times, Forbes, The Guardian, The Washington Post, Associated Press, Reach, Der Spiegel, Estadão, Folha de S.Paulo, El País, Infobae, and Antara.

Google’s approach emphasizes integration with existing search infrastructure. Publishers in the News AI pilot receive preferential placement in AI Overviews and access to analytics showing how their content performs in AI-generated summaries.

Microsoft Copilot Agreements

Microsoft has integrated OpenAI-powered Copilot into Bing and Microsoft 365. Content licensing deals include Reuters, Axel Springer, Hearst Magazines, USA Today Network, Financial Times, Condé Nast, Business Insider, and Australian publisher Nine.

Microsoft’s strategy uses its existing enterprise relationships, positioning Copilot as a productivity tool that requires high-quality, authoritative content.

Meta AI Partnerships

Meta has signed agreements with Reuters, CNN, Fox News, Fox Sports, People Inc., and USA TODAY Co., Inc. The News Corp agreement with Meta, worth up to $50 million per year for three years, allows Meta AI tools to use content from US and UK titles.

Meta’s licensing approach focuses on real-time news integration for its AI assistant across Facebook, Instagram, and WhatsApp, creating a news distribution channel that competes directly with traditional social media sharing.

Perplexity and Other Platforms

Perplexity operates a “Publishers’ Program” with revenue-sharing agreements, including TIME, Lee Enterprises, Der Spiegel, Fortune, Entrepreneur, Le Monde, and Gannett. Perplexity’s model offers a percentage of advertising revenue generated from queries that cite partner content.

Amazon has signed deals with Associated Press, The New York Times (reportedly $20 million to $25 million per year), Condé Nast, Hearst, Forbes, Reach, and Business Insider for Alexa+.

Why Licensing Deals Aren’t Driving Traffic

Despite these partnerships, publishers are seeing sharp drops in referral traffic. A TollBit study found that news sites and blogs received 96% less referral traffic from AI search engines compared to traditional Google Search.

Research from Brookings shows that publishers with direct AI licensing agreements initially enjoyed a click-through advantage, but by Q4 2025, that “deal premium” had evaporated amid a six-fold collapse in click-through rates.

A Bain & Company survey found that 80% of consumers rely on AI-generated summaries without clicking through at least 40% of the time.

Legal Battles in India

The Digital News Publishers Association (DNPA) in India, representing around 20 news companies, joined a lawsuit against OpenAI in January 2025, arguing that OpenAI’s “wilful scraping” poses a “clear and present danger to valuable copyrights.”

The Delhi High Court declined an interim injunction in July 2026, determining that storing articles to train large language models falls within research and private use exceptions under Section 52(1)(a) of the Copyright Act. However, the court confirmed jurisdiction over cross-border AI copyright disputes.

More than 30% of leading Indian news publishers have blocked OpenAI’s crawlers. Globally, The New York Times is suing OpenAI for billions. As of May 2025, there have been nine copyright infringement lawsuits against OpenAI.

The Economic Reality

Publisher licensing currently contributes only 0.5% to 2% to AI company revenues globally. For most AI companies, licensing represents a marginal cost, while for publishers, these deals offer access to audiences and revenue but do not offset traffic losses.

Research shows that the marginal contribution of any one publisher to training large language models is tiny, creating a collective action problem where individual publishers have little negotiating power. The concentration of licensing deals among major publishers creates a “winner-take-most” dynamic that threatens local and independent journalism.

How Brands Can Optimise for AI Visibility Without Licensing Deals

For brands outside the licensing elite, Generative Engine Optimisation becomes essential. Two99’s GenShark AI provides AI Search Optimisation and LLM Visibility tracking across ChatGPT, Gemini, Perplexity, and Copilot without requiring direct platform deals.

GenShark AI includes Competitor Visibility Tracking, Brand Mention Tracking, and Share of Model Tracking to measure citation frequency and accuracy. These analytics reveal which content formats, topics, and structures generate the most AI citations.

Two99’s Generative Engine Optimisation combines Conversational Content Optimisation, Entity Optimisation, and AI Citation Optimisation to improve how brands are discovered and recommended. Entity Optimisation ensures that AI models correctly understand and represent your brand, products, and expertise.

For enterprises running Advanced SEO or Enterprise SEO, Two99 integrates traditional search optimisation with AI-native discovery. Two99’s AI Ecommerce Solutions help structure product data so AI systems can discover and recommend products in AI-powered shopping experiences.

Emerging Regulations

The European Union’s AI Act requires general-purpose AI model providers to provide a summary of their training datasets and implement policies allowing rights holders to opt out. In France, Google was fined €250 million for failing to notify publishers about scraping their work.

In India, the Department for Promotion of Industry and Internal Trade is proposing a “One Nation One License One Payment” hybrid licensing model offering AI developers a mandatory blanket licence while creators receive statutory royalties. Royalties would be linked to a share of the AI system’s revenue.

The UK government favours an “opt-out” model for AI training on copyrighted works. Policymakers are exploring statutory licensing frameworks, collective licensing, mandatory transparency, and attribution systems.

Frequently Asked Questions

Can I track if my content is being used to train AI models?

Check server logs for AI crawler user agents and review your robots.txt file. GenShark AI provides Brand Mention Tracking across ChatGPT, Gemini, Perplexity, and Copilot.

Can I improve my brand’s AI visibility without a licensing deal?

Yes. Two99’s GenShark AI helps brands improve AI visibility through Entity Optimisation and Conversational Content Optimisation without a direct platform deal.

Do I need both traditional SEO and AI optimisation?

Yes. Traditional SEO drives clicks, while Generative Engine Optimisation ensures your brand is cited accurately in AI answers where 80% of users don’t click through.

Which AI platform should my brand prioritise?

ChatGPT has the largest user base. Gemini is integrated into Google Search. GenShark AI tracks performance across all platforms to inform your priority.

Taking Control of Your AI Visibility Strategy

While major publishers negotiate licensing deals, most brands face a different challenge: their content trains AI models without compensation, yet their future discoverability depends on how these models cite them. If your brand’s content is feeding AI models but you’re not seeing the visibility return, Two99’s GenShark AI helps you track, optimise, and improve how your brand appears in ChatGPT, Gemini, Copilot, and Perplexity.

Today, an organic click is harder to earn—and vastly more valuable. According to industry data, nearly 68% of searches end without a single click[cite: 2]. When a user does land on your site, what happens next?

This is where the SEO Blind Spot lies: focusing entirely on getting visitors to the page while ignoring the post-click experience. If your organic traffic bounces, fails to engage, or leaves without taking action, your search engine optimization strategy isn’t driving business growth it’s leaking revenue.

Here is how to bridge the gap between organic traffic and post-click conversions to transform your search strategy into a predictable revenue engine.

1. Why SEO Can No Longer End at the Click

Traditional SEO focused heavily on top-of-funnel (TOFU) vanity metrics. Marketers published high-volume informational content to attract massive traffic, operating under the assumption that sales or lead-gen teams would handle the rest.

However, search landscape dynamics have shifted:

• Zero-Click Searches: Generative AI tools and Google AI Overviews answer basic intent directly on the search engine results page (SERP), reducing generic informational clicks.
• High-Intent Entry Points: Users who do click through are often looking for specific solutions, deep expertise, or direct brand interaction.
• E-E-A-T and User Signals: Post-click engagement signals—such as dwell time, interaction depth, and conversion completion—signal search engine algorithms that your content truly satisfies user intent.

When you treat traffic as the destination rather than the doorway, your content creates high bounce rates and wasted ad spend[cite: 2]. To achieve sustainable organic growth, SEO must align seamlessly with User Experience (UX) and Conversion Rate Optimization (CRO).

2. What Happens When You Fix the Post-Click Experience?

Optimizing for the entire post-click journey changes how your brand performs across search engines and revenue reports.

When search intent matches on-page user experience:

• Bounce rates drop: Visitors immediately see that their query has been answered accurately and thoroughly.
• Micro-conversions increase: Readers download whitepapers, engage with interactive tools, view pricing pages, or subscribe to newsletters.
• Macro-conversions soar: Qualified leads enter your sales pipeline faster because your content naturally guides them down the funnel.

3. Four Steps to Bridge the SEO & CRO Gap

Step A: Align Search Intent with On-Page Context

Don’t trick users with clickbait titles or generic content. If a user searches for “enterprise technical SEO audit,” the landing page should deliver actionable frameworks and clear service avenues immediately—not 1,500 words of basic history.

Step B: Design Clear, Contextual Call-to-Actions (CTAs)

Generic “Contact Us” buttons at the footer are no longer enough. Your CTAs must reflect where the reader is in their journey:

• TOFU Content: Offer downloadable guides, checklists, or newsletter sign-ups.
• MOFU/BOFU Content: Offer free strategy calls, live demos, or custom site audits.

Step C: Streamline UX and Technical Performance

Sub-second load times, mobile-responsive layouts, intuitive navigation, and clean visual structures prevent immediate drop-offs. If technical bottlenecks hinder user navigation, rankings will suffer alongside conversions.

Step D: Scale Conversion-Engineered Infrastructure

Managing technical SEO, intent mapping, UX design, and conversion funnel optimization in-house can strain agency resources. Integrating specialized solutions ensures every page is optimized for search engines and user conversion goals.

Deploying comprehensive growth strategies through two99.org solutions enables businesses to bridge technical search optimization with end-to-end user conversion paths[cite: 2]. Implementing entity-driven content architecture, CRO-focused page design, and robust analytics frameworks helps transform raw organic impressions into pipeline revenue.

4. Trending Keywords for Post-Click Optimization

Incorporate high-intent search terms into your content strategy:

Frequently Asked Questions (FAQs)

What exactly is SearchGPT?

Let’s put the technical language aside. Traditional search is straightforward, while SearchGPT changes the sequence: you ask a question, receive a list of links, open those links, compare information, and eventually make a decision. SearchGPT introduced a more conversational experience where the system can search the web, understand the information it finds, bring it together and give you a direct response supported by sources.
Imagine someone searching for a digital marketing agency. Earlier, they might type “best digital marketing agencies in Gurgaon”, open ten websites and begin comparing them. With AI-powered search, the question can become much more specific: “Which digital marketing agency would be best for a real estate company in Gurgaon that wants qualified leads?” The customer can then ask, “Which ones have worked with real estate brands?” and “Which one would you recommend?”
That is no longer just search. That is decision-making through conversation.

QUICK FACTS: SearchGPT At A Glance

SearchGPT was introduced by OpenAI in July 2024 as a prototype, rather than a permanent standalone search engine. OpenAI subsequently incorporated its strongest capabilities into ChatGPT Search. ChatGPT can search the web for current information, provide source links and allow users to continue their research through follow-up questions. OpenAI also guides publishers who want their websites to be discoverable through ChatGPT Search, including access for OAI-SearchBot.
The bigger takeaway is that businesses shouldn’t focus only on SearchGPT as a product. The real opportunity is preparing for the wider movement towards AI-powered discovery, where customers increasingly ask an AI to research, compare and recommend rather than simply browse search results themselves.

Why Should Your Business Care?

SearchGPT matters because your customer is changing the way they research. Think about the last important purchase you made. You probably checked different websites, compared prices, looked at reviews, watched videos and searched for opinions before making a decision. Now imagine asking an AI to perform much of that research for you.
Instead of spending an hour comparing five companies, your customer could ask an AI to shortlist the best options based on their specific requirements. Your business is therefore no longer competing only for a click. It is competing to be included in the answer.
This creates a very different kind of digital competition. Being number one for a keyword may still matter, but it is no longer the complete picture. Your business also needs to be understandable enough, credible enough and relevant enough to be considered when an AI generates an answer.

Your Website Is No Longer Just A Website

For years, businesses have treated websites like digital brochures. You have a homepage, an about page, service pages, some blogs and a contact form. But in an AI-led search environment shaped by SearchGPT, your website has another job: it needs to explain your business clearly.
If your website says, “We are a leading organisation providing innovative and transformative solutions,” it doesn’t really tell anyone anything. Compare that with, “We help D2C brands increase online revenue through performance marketing, e-commerce technology and conversion optimisation.” The second statement immediately tells you what the business does, who it serves and what outcome it focuses on.
That clarity matters because AI systems need context. They need to understand what your business is, what you offer, who you serve and why someone should consider you.

TRY THIS: Ask AI About Your Business

There is a simple SearchGPT readiness test you can run today. Open ChatGPT and ask, “What does [your company] do?” Then ask, “What is [your company] known for?” Follow it with, “Who are the main competitors of [your company]?” Finally, ask, “Would you recommend [your company] for [your target customer]? Why?”
Now look at the answers carefully. Is the information accurate? Does AI understand your biggest strengths? Does it know your key products or services? Does it understand your positioning? Does it identify the right competitors?
If the answer isn’t what you expected, don’t look at it as a failure. Look at it as a diagnostic of your digital presence. It shows you how clearly the internet currently understands your business.

So, What Does “SearchGPT-Ready” Actually Mean?

Being SearchGPT-ready doesn’t mean installing a plugin or publishing hundreds of AI-generated blogs. It means building a digital presence that is discoverable, understandable, credible, relevant and consistent.
Your technical infrastructure needs to work. Your website architecture needs to make sense. Your content needs to answer real questions. Your business information needs to be consistent across platforms. Your claims need to have proof behind them. Your brand needs authority beyond its own website.
OpenAI’s publisher guidance explains how OAI-SearchBot accesses websites that want their content to be discoverable through ChatGPT Search. But technical accessibility is only the starting point. Getting discovered is one thing; being worth recommending is another.

CONTENT NEEDS TO BECOME MORE USEFUL

Preparing for SearchGPT does not mean publishing another article titled “10 Benefits of Digital Marketing.” What customers actually want to know is how much they should spend, how long results take, whether SEO or paid advertising is right for them, how to choose an agency and what results they should realistically expect.
This changes how businesses should think about content. Instead of asking, “What keyword should we target?”, ask, “What question is our customer trying to answer?” That small change can completely transform a content strategy.
The goal isn’t to create more content. The goal is to create more useful information.

TIP: Don’t Create Content Just Because AI Exists

One of the biggest SearchGPT mistakes businesses can make is producing large volumes of generic content simply because they want to appear in AI search. That approach misses the point.
Create content because your customers have questions. Explain things better than your competitors. Share original insights. Build useful resources. Publish genuine case studies. Answer difficult questions. Give people information they can actually use.
Better information will always be more valuable than more information.

YOUR BRAND NEEDS MORE THAN ITS OWN WEBSITE

SearchGPT makes another part of the equation more important. Your website can say that you’re an expert, but what does the rest of the internet say?
If your website says you’re a market leader, but there are no credible mentions, reviews, case studies, media references or independent sources supporting that claim, there is a gap between what you say and what can be verified.
Your website should tell your story. Your wider digital presence should help prove it.
That means your website, social profiles, business listings, reviews, media coverage, case studies and third-party mentions should collectively create one consistent understanding of your business.

QUICK TIP: PROOF BEATS PROMISES

Consider two agencies. The first says, “We are India’s leading digital marketing agency.” The second says, “We helped an education business increase qualified leads by 3X, increase enrolments by 20% and reduce cost per lead by 40%.”
Which one gives you more confidence?
The second one has context, specificity and measurable outcomes. It doesn’t just tell you that the agency is good; it gives you a reason to believe it.
TWO99 itself uses outcome-led case studies to demonstrate measurable business results, including examples around qualified leads, enrolments and cost efficiency.
The lesson is simple: don’t just tell the internet you’re good. Give it something meaningful to understand about your expertise.

THIS IS WHERE TWO99 COMES IN

At TWO99, we don’t look at SearchGPT or AI search as another isolated SEO service. We see it as a digital ecosystem challenge.
You can’t make a business AI-ready by changing one blog or adding structured data to a few pages. Your technology needs to work. Your website needs to make sense. Your content needs to answer questions. Your brand needs to be consistent. Your authority needs to be visible. Your data needs to support your claims.
That is why we see TWO99 as a facilitator.
We bring the different parts together so that your business becomes easier to discover, easier to understand and easier to trust.

HOW TWO99 MAKES YOUR BUSINESS READY

We start with the most important thing: your business. Before looking at keywords, we understand your products, customers, market, competitors, positioning, differentiators and goals. We don’t want to make your business sound like everyone else. We want to make what makes you different easier to discover.
Then we assess SearchGPT readiness across your digital ecosystem. We examine your website, content, technical foundation, SEO, brand presence, reviews, case studies, third-party mentions and competitor visibility. The question is straightforward: if someone asked AI about your business today, would there be enough credible information available for it to give a strong answer?
Once we know the gaps, we start fixing them. Maybe your website architecture needs restructuring. Maybe your service pages are too generic. Maybe your content doesn’t answer customer questions. Maybe your business information is inconsistent across platforms. Maybe your authority isn’t visible enough. Maybe you don’t have enough proof.
There isn’t one universal AI-search solution.
We identify the actual problem and build around your business.

CASE STUDY: WHY BUSINESS PROOF MATTERS

Let’s take a simple example. Imagine two companies are being considered by an AI for a customer recommendation.
Company A says, “We provide innovative, world-class solutions.”
Company B says, “We helped a growing business reduce its acquisition cost by 40% while increasing qualified leads by 3X.”
Company B has given the digital ecosystem something far more useful: a specific problem, a measurable result and evidence of capability.
That is the kind of information that strengthens a business’s digital identity. It also explains why TWO99’s approach to case studies focuses on business outcomes rather than simply listing services.

THE FIVE THINGS YOUR BUSINESS SHOULD GET RIGHT

First, technical accessibility. Your website needs to be crawlable, indexable and structured properly so search systems can access and understand your information.
Second, useful content. Your website should answer the real questions customers have before they buy.
Third, a clear digital identity. Your website, social profiles, directories and other digital properties should tell a consistent story.
Fourth, authority. Your expertise shouldn’t exist only on your own website. Independent mentions, reviews, publications and industry references can strengthen your overall presence.
Fifth, proof. Case studies, original research, customer stories and measurable outcomes give substance to your claims.
Together, these create something much more valuable than a website that simply ranks.
They create a business that can be understood.

TIPS TO KEEP IN MIND

Don’t abandon SEO. Traditional search and AI search will continue to coexist.
Don’t chase quantity. Ten genuinely useful resources can be more valuable than 100 generic blogs.
Don’t make unsupported claims. If you say you’re the best, show why.
Don’t focus only on your website. Your entire digital footprint contributes to your visibility.
Don’t try to hack AI. Build genuine authority instead.
Don’t write only for machines. AI might discover your business, but people still need to trust it.

QUICK CHECK: IS YOUR BUSINESS SEARCHGPT-READY?

Ask yourself whether a customer can understand exactly what you do within a few seconds. Ask whether your services are clearly explained, whether your website answers real customer questions, whether your business information is consistent everywhere and whether credible third-party sources support your claims.
Ask whether you have meaningful case studies, original insights and measurable results. Ask whether your website is technically accessible and whether you are monitoring how your brand appears across emerging AI search experiences.
If you answered “no” to several of these questions, that doesn’t mean you’re behind.
It means you now know where the opportunity is.

WHY TWO99?

Because we don’t believe the future of search belongs to one platform.
Google will continue to evolve. ChatGPT will evolve. Perplexity will evolve. Gemini will evolve. New AI-powered discovery platforms will emerge.
Your business shouldn’t have to rebuild its digital strategy every time that happens.
Instead, you need a strong foundation that can adapt.
TWO99 brings together capabilities across technology, marketing, AI SEO, e-commerce, cybersecurity and consultancy, allowing businesses to address multiple parts of their digital ecosystem through a connected approach.
So we aren’t asking:
“How do we optimise your business for SearchGPT?”
We’re asking:
“How do we make your business ready for the way customers will discover businesses next?”
That is a much bigger question.
And we believe it deserves a much bigger answer.

Conclusion: The Next Search Result Could Be a Recommendation

Your customer may not be searching for you anymore. They may be asking AI whether they should choose you. That is the real shift businesses need to prepare for. SearchGPT and AI-powered search are changing the journey from search → click → compare to ask → understand → decide. The brands that win in this environment won’t simply be the ones with the most content or the highest rankings. They’ll be the ones AI can clearly understand, confidently validate and naturally recommend. TWO99 is here to facilitate that transition — bringing together technology, content, SEO, strategy, data and digital authority to make your business ready for the next generation of search. Because tomorrow, being visible won’t be enough. Your business needs to be the answer.

People Also Ask: SearchGPT & AI Search FAQs

1. What is SearchGPT?

SearchGPT was OpenAI’s prototype for AI-powered web search. It was designed to provide conversational answers using current information from the web, along with relevant sources. Its strongest capabilities were later integrated into ChatGPT Search.

2. Is SearchGPT different from ChatGPT Search?

SearchGPT was the prototype that helped OpenAI develop its search experience. ChatGPT Search is the evolved version integrated directly into ChatGPT, allowing users to search the web while continuing a conversational interaction.

3. Can my business appear in ChatGPT Search?

Yes. Public websites can potentially appear in ChatGPT Search. Businesses should ensure their websites are accessible to search crawlers, technically sound and filled with clear, useful and authoritative information.

4. Is AI SEO the same as traditional SEO?

Not exactly. Traditional SEO focuses heavily on rankings and search visibility, while AI search adds another layer: making your business information clear, relevant, credible and useful enough to potentially be incorporated into an AI-generated answer.

5. Do I need to create a completely new website for AI search?

Not necessarily. In many cases, your existing website can be made more AI-ready through better technical SEO, information architecture, content, structured information, authority and clearer business positioning.

6. Can an agency guarantee that ChatGPT will recommend my business?

No. AI-generated search results are dynamic and influenced by the query, context and available sources. A credible AI-search strategy should focus on improving your business’s discoverability, relevance, authority and credibility rather than promising guaranteed recommendations.

7. How can TWO99 make my business ready for AI search?

TWO99 approaches AI search as a complete digital ecosystem rather than a standalone SEO activity. We bring together strategy, technology, content, SEO, data, brand presence and digital authority to help make your business easier to discover, understand, trust and ultimately consider across the evolving search landscape.

The Evolution of Prompt Engineering

When generative AI first became popular, language models required detailed instructions to produce reliable results. Users had to explain every step, define formatting rules, and provide extensive guidance.

Today’s advanced AI models are far more capable.

Rather than instructing AI step by step, users can simply define:

• The business objective
• The expected outcome
• Important constraints
• The target audience
• The desired quality level

The AI is increasingly capable of determining the intermediate steps on its own, making interactions more natural and efficient.

Prompt Engineering Is Evolving, Not Disappearing

Some headlines suggest that prompt engineering is becoming obsolete. That isn’t entirely accurate.

Writing effective prompts still matters, especially for specialized tasks like coding, research, content creation, and automation. However, prompt engineering is no longer the only factor that determines AI success.

Businesses are now focusing on:

• Context Engineering
• AI Workflow Design
• Business Process Automation
• Knowledge Management
• Data Quality
• AI Governance
• Enterprise AI Integration

In other words, organizations are moving beyond prompts and building complete AI ecosystems.

Why Context Is More Important Than Complex Prompts

Imagine asking an employee to prepare a report without giving any background information. They would naturally have questions about the timeframe, audience, format, and purpose.

Artificial intelligence behaves in much the same way.

Providing AI with rich business context enables it to produce significantly better outputs than simply writing longer prompts.

Examples of useful context include:

• Company documentation
• Product information
• Brand guidelines
• Customer data
• Standard operating procedures
• Previous conversations
• Internal knowledge bases

This is why enterprises are increasingly investing in Retrieval-Augmented Generation (RAG), AI agents, and centralized knowledge systems instead of relying solely on prompt libraries.

Businesses Should Stop Micromanaging AI

Many organizations still interact with AI by breaking every task into multiple instructions.

For example:

• Write a draft.
• Summarize it.
• Rewrite it.
• Create a table.
• Improve the tone.
• Optimize it for SEO.

Modern AI models can often perform all these tasks more efficiently when given the overall objective from the beginning.

Instead of managing every individual step, businesses should define:

• The goal
• The desired output
• The target audience
• Quality expectations
• Business constraints

This approach improves productivity while simplifying AI interactions.

The Real Competitive Advantage Has Changed

As AI technology matures, competitive advantage is no longer determined by who writes the best prompts.

Successful organizations are focusing on:

High-Quality Data

AI performs best when it has access to accurate, organized, and relevant information.

Well-Designed Workflows

Clearly structured business processes allow AI to automate repetitive tasks efficiently.

System Integration

Connecting AI with CRM systems, ERP software, customer support platforms, and internal tools creates measurable business value.

Responsible AI Governance

Security, compliance, human oversight, and ethical AI usage are becoming essential for enterprise adoption.

Essential AI Skills for the Future

Instead of focusing exclusively on prompt writing, professionals should develop broader AI capabilities.

• AI Workflow Design
• AI Automation
• Business Process Optimization
• Context Engineering
• Enterprise AI Integration
• Data Management
• Human-AI Collaboration
• Responsible AI Governance

These skills will remain valuable regardless of how AI models continue to evolve.

What This Means for Businesses

The message for business leaders is encouraging.

Organizations don’t necessarily need employees who can write hundreds of complex prompts. Instead, they need teams that understand how AI can improve productivity, automate repetitive work, and enhance decision-making.

The future of AI is about integrating intelligent systems into everyday operations not simply asking better questions.

Businesses that redesign workflows around AI will gain a stronger competitive advantage than those focusing only on prompt engineering.

How Two99 Solutions Helps Businesses Build Smarter AI Solutions

At Two99 Solutions, we believe AI success extends far beyond writing effective prompts.

We help organizations transform their operations through intelligent, scalable, and customized AI solutions tailored to real business challenges.

Our AI services include:

• Custom AI Application Development
• Enterprise AI Integration
• Generative AI Solutions
• AI Chatbot Development
• LLM Integration
• Workflow Automation
• Business Process Optimization
• AI Consulting & Strategy

Rather than teaching businesses how to create better prompts, we help them build AI-powered systems that improve productivity, streamline operations, reduce costs, and deliver measurable business outcomes.

Frequently Asked Questions (FAQs)

1. Is prompt engineering still important in 2026?

Yes. Prompt engineering remains useful, especially for technical, creative, and specialized tasks. However, businesses are increasingly focusing on context engineering, workflow automation, and AI integration instead of relying solely on complex prompts.

2. Why did Anthropic say prompt engineering is becoming less important?

Modern AI models can understand broader objectives and determine intermediate steps independently. This reduces the need for highly detailed prompts while making AI more accessible to everyday users.

3. What skills are replacing traditional prompt engineering?

Organizations are investing in AI workflow design, automation, context engineering, enterprise AI integration, data management, and AI governance to maximize business value.

4. What is Context Engineering?

Context Engineering is the process of providing AI with the right business information, documentation, knowledge bases, and data so it can generate more accurate and relevant responses.

5. How can businesses prepare for the future of AI?

Businesses should focus on integrating AI into daily operations, improving data quality, automating repetitive workflows, and implementing secure AI governance frameworks.

6. Why choose Two99 Solutions for AI implementation?

Two99 Solutions helps organizations design and implement custom AI solutions, automate business processes, integrate Large Language Models (LLMs), develop AI-powered applications, and create scalable enterprise AI strategies that deliver measurable business outcomes.