Tip 26 of 31: Publish Information Nobody Else Has
If every article on your website could have been published by any of your competitors without changing a word, you do not have a content strategy. You have noise.
Why Originality Matters for AI Citations
AI-assisted search systems can draw on multiple sources when producing an answer. When many pages cover the same subject in substantially the same way, there may be little reason to select one generic page over another. Original information, evidence, experience or analysis gives your page something distinctive that can make it more useful as a source.
Originality does not guarantee that an AI system will cite or surface a page. Relevance, accessibility, quality and the needs of the individual query also matter. However, content that adds something genuinely useful has a stronger basis for being discovered and referenced than content that simply repeats information already available elsewhere.
What Original Content Actually Looks Like
Original content does not require large-scale research. It can be an analysis of your own client data showing a pattern other providers cannot see, a detailed case study documenting a real result with specific numbers, an expert interview capturing a perspective not published elsewhere, a comparison based on your specific market experience, or a process guide built from your actual working method rather than from reading other guides.
The question to ask is: does this page contain something that only exists because of what your business knows, has done or has measured?
This Series Is a Direct Example
One of our clients generates £45,000 in placement fees from their website in a single month. We are not offering a generic guide to AI content strategy. We are documenting the specific methods we use, the results we have observed and the experience we have gained from building websites for 667+ recruitment agencies and executive search firms since 2004.
That first-hand experience allows us to publish examples, conclusions and practical recommendations that could not be produced merely by summarising other articles.
Up Next
Tip 27 of 31 covers something easy to overlook but quietly critical: showing visitors and AI-assisted systems when your content was written and when it was last reviewed or meaningfully updated.
Frequently Asked Questions
What if our business is too small to conduct original research?
Original content does not always require formal research or a large budget. Small businesses can publish useful observations drawn from client data, recurring questions from sales calls, lessons from completed projects and documented case studies. The value comes from the specificity and reliability of the experience, not the size of the organisation.
Is original content the same as unique content?
Not necessarily. Rewriting an existing article in different words may produce text that is technically unique, but it does not add original information. Original content contributes evidence, experience, analysis or a perspective that was not already available in the same form.
Can original content become outdated?
Yes. Original data and findings should be reviewed when the underlying circumstances change. An older case study can remain useful and original when its date and context are clear, but newer data should be added when it becomes available.
How much original content does a website need to benefit from AI visibility?
There is no fixed number. A small collection of well-supported pages containing genuinely useful information can be more valuable than a large volume of generic content. Originality alone does not guarantee visibility or citations, because relevance, accessibility, quality and other factors also influence which sources are surfaced.
Will AI tools know that my content is original?
Not with certainty. Clear sourcing, specific figures, documented methods, named contributors and consistent expert attribution can help readers and automated systems understand where the information came from. These signals may make a page more useful as a source, but they do not guarantee that an AI system will select or cite it.
Darren Revell, Co-Founder, RecruiterWEB
Co-Founder, RecruiterWEB
Darren Revell began working in recruitment technology in 2004 when he founded Recruitwise Technology. He later became a founder of RecruiterWEB, which acquired the Recruitwise Technology brand, platform and customer base in 2016. Darren remains Co-Founder and Co-Owner of RecruiterWEB.
Darren came to Rectech after eleven years working in recruitment. He started as a trainee recruiter in 1993 and progressed through the ranks to recruiter, billing manager, billing director, and eventually recruitment company owner. During that career, he delivered permanent hires, contract hires, client campaign advertising, team moves, retained search, master vendor services, and RPO.
In 2004, he switched focus to recruitment technology and began building websites and job boards specifically for recruitment agencies. RecruiterWEB has since built websites for 667+ agencies and executive search firms in the UK and internationally. The platform runs on custom code built explicitly for recruitment, with built-in job board functionality, ATS and job poster integration, Google for Jobs structured data, and GDPR-compliant candidate registration included as standard on every plan.
Darren writes on recruitment website design, SEO and AI visibility for recruitment agencies, candidate data protection, and the commercial impact of digital investment on recruitment businesses.
Specialist Areas
- Recruitment website design and technology
- SEO and AI visibility for recruitment agencies
- ATS and job poster integration (Bullhorn, Vincere, idibu, and others)
- GDPR and candidate data protection
- Branding for recruitment agencies and executive search firms
Connect
LinkedIn: linkedin.com/in/
Phone: 01223 655278
Darren has also appeared as a guest on the RecTalk podcast, covering his background in recruitment and the founding of RecruiterWEB.
