Nadia Mohamed
AI-SEO & GEO
Optix: What It Is and How It Helps You Create Content That Gets Cited
Most AI writing tools have the same defect. They produce a confident, well-structured, keyword-aligned article in ninety seconds — and somewhere inside it is a statistic that was never published, attributed to a study that was never written, linking to a URL that has never existed.
Optix is built to make that failure mode structurally impossible.
What Optix is
Optix is a fact-checked SEO content service that verifies every statistic against its live source page before the article is written. You request a keyword in Slack, approve a short brief, and receive a publish-ready article with a documented source for every claim in it.
There is no separate portal, no login, no dashboard to learn. The request happens where your team already works, and the finished article comes back the same way — usually within hours.
The problem it solves
The citation problem in AI-generated content is measurable, and it is worse than most teams assume.
In a study published in Scientific Reports, researchers Walters and Wilder analysed 636 bibliographic citations across 84 AI-generated literature reviews. They found that 55% of GPT-3.5 citations and 18% of GPT-4 citations were entirely fabricated. Worse, among the citations that referred to real sources, 24% of the GPT-4 ones still contained substantive errors — wrong authors, wrong journals, wrong years.
Read that second number again. Even when the model cites something real, roughly one in four of those references misrepresents what it points to. A fabricated citation is at least detectable if someone checks. A subtly wrong one usually survives review.
This is not a prompting problem. Language models generate citations the same way they generate any other text: by predicting plausible sequences. A citation that looks correct and a citation that is correct are produced by the identical mechanism. Asking the model to “only use real sources” asks it to do something its architecture does not do.
Why this matters more in 2026 than it did in 2023
Two shifts have raised the cost of publishing an unverified claim.
First, fewer people click through to check. The Pew Research Center tracked the browsing behaviour of 900 US adults across 68,879 Google searches and found that users clicked a traditional search result on just 8% of visits where an AI summary appeared, versus 15% where it did not. Clicks on links inside the AI summary itself occurred on only 1% of visits. Users were also more likely to end their session entirely — 26% of pages with an AI summary versus 16% without.
Your article increasingly reaches people as a sentence quoted by a machine, not as a page they visit. The sentence has to be right on its own.
Second, being the cited source is now the win condition. Analysis by Previsible of 6.77 million LLM-driven sessions between November 2024 and May 2026 found that ChatGPT alone commands 92.4% of trackable standalone LLM referral traffic. Traffic from these surfaces is small relative to organic search, but it is growing fast and it converts differently — the visitor arrives having already been told your page is authoritative.
The research on how to earn those citations points in one direction. In the foundational paper on Generative Engine Optimization, presented at KDD 2024, Aggarwal and colleagues found that adding citations, quotations from relevant sources, and statistics boosted a source’s visibility in generative engine responses by up to 40%.
So the exact elements most likely to be hallucinated — the stats, the quotes, the citations — are also the elements most likely to get you cited. That is the tension Optix is designed around.
How it works
Three steps, and only one of them requires anything from you.
1. Request a keyword in Slack. Type the topic. Optix runs the research phase — pulling the current search results, extracting statistics from the pages that rank, and scoring each source for authority.
2. Approve the brief. You get back a short plan: the byline, the angle, the section structure, and the keyword targets. This is the decision point. Change the angle, swap the byline, or approve it as-is.
3. Receive the article. Fully written, fact-checked, and scored — with a claims ledger attached.
The part that makes the difference: verification comes first
Most AI content tools generate a draft and then check it. Optix inverts that order.
Before a single sentence of the article is written, every statistic that might be used is verified against its live source page. The claim has to actually appear, on the actual URL, saying the actual thing. Claims that fail verification are discarded — they never reach the writing stage, so they can never end up in your draft.
The writer then works from a registry of pre-verified, pre-formatted citations. It cannot invent a statistic because it is not generating statistics at all; it is placing approved ones.
Every article ships with a claims ledger: each statistic, its source URL, the exact quoted text from that page, and the timestamp of verification. If your legal team, your client, or a journalist asks where a number came from, the answer is one line in a table rather than an afternoon of retracing.
The methodology behind this was evaluated as original research — a Master’s thesis in Data Science — rather than assembled from marketing intuition.
The quality gate
Every article passes a 14-point checklist before it is delivered, split evenly between two objectives:
| Focus | What it checks |
|---|---|
| Google ranking (7 checks) | Keyword targeting, heading structure, internal linking, metadata, readability, search intent match, content depth |
| AI citation (7 checks) | Citation density, statement extractability, quotable sentence construction, source authority, factual traceability, schema markup, answer-first formatting |
Articles are scored out of 100. If a section fails, it is regenerated against specific feedback and re-audited rather than shipped with a caveat.
One honest note on the AI-citation half of that list. A 2026 survey of 45 GEO studies by Olivier Martinez concluded that while content changes can causally alter whether already-retrieved content gets cited, “no reviewed technique shows a stable, longitudinal, cross-platform causal effect on organic discoverability.” Nobody has a guaranteed formula for getting cited by ChatGPT. What the evidence does support is that verifiable, well-sourced, cleanly structured content performs better than the alternative — which is exactly what Optix optimises for.
Who it’s for
Optix fits teams that need credible content at volume without adding headcount:
- Marketing teams publishing weekly and spending more time fact-checking drafts than writing them
- Founders who need content in the market now and cannot afford a claim that turns out to be invented
- Consultants whose reputation is the product, where one wrong statistic is expensive
- Agencies producing for multiple clients who need a defensible audit trail per article
When Optix isn’t the right fit
It is a poor choice for content that depends on information nobody has published — original customer research, proprietary benchmarks, first-person narrative about your specific company. Optix verifies against public sources. If the value of the piece lives in your own unpublished data, a human writer with access to that data will do better.
It is also not the right tool if you want a hundred thin pages a month. The verification step is real work, and it caps throughput on purpose.
Pricing
| Plan | Articles / month | Cost | Per article |
|---|---|---|---|
| Starter | 4 | $200 | $50 |
| Growth | 8 | $360 | $45 |
| Scale | 16 | $640 | $40 |
| Custom | 17+ | Custom | Negotiated |
Billing is month-to-month with no lock-in, and the first article is free — the point being that you should evaluate the output, not the description of it.
Finished articles export to WordPress, MDX, HTML, or standard documents.
Frequently asked questions
Does Optix guarantee my content will be cited by ChatGPT?
No, and any tool that claims otherwise is overselling. Citation behaviour in generative engines is stochastic and changes between models and updates. Optix optimises the factors the research supports — verified statistics, quotable structure, authoritative sourcing — which measurably improve the odds without guaranteeing an outcome.
How is this different from asking ChatGPT to write an article with sources?
Order of operations. ChatGPT generates the citation and the sentence in the same step, which is why 18% of them are fabricated. Optix verifies sources against their live pages first, then writes only from what survived.
Can I use my own byline?
Yes. The byline is set in the brief and you approve it before writing begins.
What if the article isn’t good?
The quality gate catches most issues before delivery. Beyond that, failing sections are regenerated with targeted feedback rather than the whole article being rewritten.
Where can I see it?
The full product breakdown lives at nadiamohamed.me/optix.
The short version
AI writing tools solved speed and left accuracy as your problem. Optix treats accuracy as an architectural constraint rather than a review step — sources are verified before writing, so fabrication has nowhere to enter the process.
That matters more every quarter. As search surfaces answer questions directly and fewer readers click through to verify anything, the sentence a machine quotes from your page has to be able to stand alone. Verified content is the only kind that can.
If you want the deeper version of how content earns AI citations, start with How to Get Cited by ChatGPT in 2026.