Originality.ai
How first-hand content, original research, PR, and a multi-channel strategy grew an AI detection startup from 278K to 1.18M organic sessions — and made it the most-linked brand in its category.
"We started working with Graeme at a crucial period in our business's growth. He is a fantastic content strategy partner who has helped Originality continue to grow into one of the industry-leading AI detection software tools, with excellent exposure across Google, LLMs, and Socials. Plus, he's a great guy! Would highly recommend."
THE
CHALLENGE
When I joined Originality.ai in May 2023, the AI content detection market was nascent, fast-moving, and about to get very crowded. The window to establish category leadership — in search, in social, and in AI-generated recommendations — was open but narrowing fast. And it was surrounded by noise: poorly built detectors, ChatGPT wrappers with a polished frontend, and a wave of opportunistic competitors making claims they couldn't back up.
- 01First-mover window closing fastAI content detection was a new category in 2023. The brands that built search authority first would own it. The timeline for establishing Originality.ai as the default recommendation was months, not years.
- 02A market full of bad actorsCompetitor tools ranged from genuinely built products to ChatGPT wrappers with fancy UIs. Originality.ai needed to be visibly, verifiably better — and the content strategy had to prove it, not just claim it.
- 03Trust signals not yet establishedDespite having arguably the most accurate AI detection tool on the market, Originality.ai didn't yet have the E-E-A-T signals, domain authority, or brand recognition to match its product quality.
- 04Visibility in AI search missing entirelyAs AI-powered search tools like ChatGPT and Perplexity grew rapidly, appearing in LLM-generated recommendations became as important as appearing in Google. Originality.ai needed a presence in both simultaneously.
- 05Content operation not yet built for scaleWithout templates, editorial systems, and writer management infrastructure, producing consistent high-quality content at the volume needed to compete wasn't possible.
THE
STRATEGY
A two-stage plan. Stage one built the SEO and E-E-A-T foundations at speed. Stage two layered in original research, PR, and LinkedIn to compound what the content had started — and build a brand with a genuine voice in the category.
- Identified competitor AI detection and generative AI tools as review targets using Ahrefs
- Mandated all writers use products first-hand — no reviews based on third-party information
- Implemented own testing: AI humaniser effectiveness, head-to-head detector comparisons, generated content tests
- Review template built with SEO/AEO structure, imagery guidance, headers, and meta requirements
- Content master tracker created for writer assignments, deadlines, and live tracking
- Canva graph and graphics templates built to match Originality.ai brand across all articles
- AEO entity framework developed for LLM citation targeting from day one
- First-hand studies developed using platform data — AI content authenticity across insurance, e-commerce, and other sectors
- Studies used as linkable assets, generating organic backlinks from industry publications
- Jon Gilham's podcast and speaking appearances repurposed into LinkedIn short-form video content
- Research studies amplified on LinkedIn — high-share content driving significant organic engagement
- Daily social listening reports: industry news, discussion threads, and content suggestions delivered each morning
- LinkedIn growth from 1,128 to 1,953 followers; speaking invitations at major SEO and content events
- Thought leadership articles built around key category conversations — AI detection, authenticity, the humaniser myth
First-hand reviews, comparison content, and entity-optimised copy targeting Google and LLM-generated AI detection recommendations.
Platform-data studies into AI content authenticity across key sectors. Link-earning assets that positioned Originality.ai as the category's authority source.
Jon's podcast and speaking content repurposed for LinkedIn. Thought leadership articles on category-defining conversations.
Daily intelligence reports keeping the Originality.ai team ahead of industry news — and first to react to moments like the DeepSeek launch.
Every review required hands-on product use. Writers tested tools, acquired free trials, and documented real results — not third-party summaries. The standard that separated Originality.ai's content from every competitor in the category.
Research into AI content authenticity across insurance, e-commerce, and other sectors using Originality.ai's own platform data. Each study was a linkable asset that earned coverage from industry publications.
Jon's podcast appearances and speaking events repurposed into short-form LinkedIn video. Research studies amplified as LinkedIn posts. Grew following 73.1% and earned speaking slots at major industry events.
Review template with full SEO/AEO guidance, header structure, imagery requirements, and meta description standards — enabling consistent quality regardless of writer.
Canva graph and graphic templates built to the Originality.ai brand, shared with the writing team. Every article accompanied by on-brand visual assets without relying on a designer.
Daily morning reports: relevant industry news, discussion threads, and content recommendations. Kept the senior team informed and reactive without them having to sift through noise themselves.
THE
RESULTS
Two-plus years. New category. Multi-channel strategy. The numbers that compound growth produces when the foundations are right.
CONTENT
PERFORMANCE
The strategy evolved in real time based on what the data showed. Here's how each content type performed — and what it contributed to the wider growth picture.
| Content Type | Format | Key Driver | Impact |
|---|---|---|---|
| First-Hand AI Tool Reviews | Review | E-E-A-T + traffic | Backbone of Stage 1 traffic growth. Higher engagement metrics than any other format — users stayed longer on content that referenced genuine product experience. Core driver of the 278K → 1.18M traffic increase. |
| AI Detector Comparisons | Comparison / testing | Trust + backlinks | Head-to-head accuracy tests using generated content proved Originality.ai's superiority in a verifiable, reproducible format. Earned organic links from AI and content marketing publications covering the space. |
| AI Humaniser Reviews | Review / debunk | Category authority | Debunking AI humaniser claims with real tests became some of the highest-traffic content on the site. Positioned Originality.ai as the definitive expert voice on AI content authenticity. |
| Original Research Studies | Data study / linkbait | +805% ref domains | The primary driver of referral domain growth. Studies on AI content prevalence across insurance, e-commerce, and other sectors were widely shared across industry publications and LinkedIn — earning links without outreach. |
| LinkedIn Thought Leadership | Short-form video + posts | +73.1% followers | Repurposed podcast and speaking content into high-engagement LinkedIn posts. Research studies amplified organically. Brand voice established in key conversations. Speaking invitations followed. |
| Social Listening Reports | Daily intelligence | Reactive presence | Enabled Originality.ai to react to major category moments — DeepSeek launch, AI policy developments, viral debates — within hours rather than days. Senior team time saved: significant. |
KEY
INSIGHTS
Two years in a fast-moving category teaches you things that shorter engagements don't. These are the insights that now shape every content strategy I build.
IS THE CONTENT MOAT
In the AI detection space, anyone can write about how tools work. Very few brands actually test them — systematically, repeatedly, and with documented results. Making first-hand testing mandatory wasn't just an E-E-A-T play, it was competitive differentiation. The content that proved Originality.ai's accuracy with real data outperformed everything else on the site by every metric. The lesson: the harder your content is to replicate, the longer it compounds.
THE BEST LINK STRATEGY
The 805% referral domain growth wasn't achieved through outreach. It was achieved by producing research that industry publications wanted to cite and share. Studies on AI content prevalence in insurance and e-commerce were genuinely newsworthy — and earned links passively from sites that would never have responded to a pitch. The formula: proprietary data + a question journalists are already asking + clear, shareable findings. Rinse and repeat.
WHEN THEY'RE CONNECTED
Stage 1 content built the SEO foundation. Stage 2 PR and LinkedIn amplified it. Each channel fed the others: blog content was repurposed for LinkedIn, LinkedIn reach generated speaking invitations, speaking content was turned back into blog articles. The compound effect of connected channels is materially larger than any single channel operating in isolation. For any brand trying to build category authority, the question isn't "SEO or PR" — it's how to wire them together.
CONTENT TEAMS FASTER
The daily social listening report was one of the highest-value things I delivered for the Originality.ai team — and one of the least visible from the outside. Senior team members don't have time to monitor Reddit threads, X conversations, and industry newsletters. By surfacing the signal from the noise every morning, the team could react to moments like the DeepSeek launch within hours. In a category where public conversations move fast, being first with a credible take is a meaningful advantage.
ABOUT
GRAEME
I'm an independent SEO and AEO strategist with over a decade of experience in content marketing. The Originality.ai engagement is my longest-running — and the one that best demonstrates what happens when SEO, AEO, original research, PR, and social strategy are connected into a single compound growth system.
My background is in journalism — I studied at Worcester University's Journalism School — which shapes how I think about content. The editorial instinct to lead with original evidence rather than restated information is what produced the first-hand reviews and research studies that drove Originality.ai's growth.
I work with a small number of clients at any one time, by design. It's the only way to give each engagement the strategic depth that compound growth requires.
FAQ
Everything you might want to know about the Originality.ai engagement and how a similar multi-channel strategy might work for your brand.
SEO and AEO content strategy, first-hand product review production with mandatory product testing, original research and first-hand studies, PR and thought leadership strategy, LinkedIn content production, daily social listening reports, content templates (review, graph, and social listening), a content master tracker, and ongoing editorial management across the full content operation.
The 1,098 to 9,942 referral domain growth was driven by original research studies shared across the industry, PR positioning Originality.ai executives at key content and SEO events, LinkedIn content generating significant engagement and reposts, and first-hand review content earning organic links from sites covering AI detection. None of it required cold outreach — the content earned the links.
First-hand testing was mandatory from day one. Writers were required to use every product they reviewed — acquiring free trials, speaking to sales teams, and documenting real results. The team also conducted original tests: AI humaniser effectiveness, head-to-head detector comparisons using generated content, and accuracy benchmarking. This approach built both Google E-E-A-T signals and earned media coverage simultaneously.
LinkedIn was a core channel from Stage 2 onwards. Jon Gilham's podcast appearances and speaking events were repurposed into short-form thought leadership content. Original research studies were shared as LinkedIn posts and generated significant organic engagement and reposts. This grew Originality.ai's LinkedIn following from 1,128 to 1,953 and led directly to speaking invitations at major SEO and content industry events.
Social listening means monitoring industry conversations, news, and social media in real time. I provided Originality.ai with a daily report each morning flagging relevant developments and content opportunities for the senior team to review and action quickly. In a fast-moving category like AI detection, being first with a credible take on moments like the DeepSeek launch is a genuine competitive advantage — and it's only possible if someone is watching the space all day.
The engagement began in May 2023 and is ongoing — making it GWContent's longest-running client relationship. The sustained nature of the engagement is what enabled compound growth across traffic, domain authority, LinkedIn, and AI visibility rather than a short-term spike. The results at two-plus years are materially larger than anything a shorter engagement could have achieved.
The methodology — first-hand content, original research, PR amplification, social listening, and multi-channel distribution — works across AI, SaaS, and content marketing verticals. Results of this scale require sustained commitment; this isn't a 90-day sprint strategy. I work with a small number of clients to ensure every project gets the depth it needs. Get in touch and I'll tell you honestly whether it's a fit.
RESULTS
LIKE THESE?
I work with a small number of clients at a time — because compound growth needs genuine strategic attention, not a templated retainer. If you're serious about building organic authority, let's talk.