About ArtherNeX
ArtherNeX gets B2B companies recognised, mentioned and cited by AI platforms — ChatGPT, Perplexity, Google Gemini, Google AI Overviews, Microsoft Copilot and Claude — through Generative Engine Optimization and Answer Engine Optimization, measured from real AI answers.
ArtherNeX is a specialist GEO and AEO agency — getting B2B brands recognised, mentioned and cited by ChatGPT, Perplexity, Google Gemini, Google AI Overviews, Microsoft Copilot and Claude when buyers ask for recommendations. ArtherNeX gets B2B companies recognised, mentioned and cited by AI platforms — ChatGPT, Perplexity, Google Gemini, Google AI Overviews, Microsoft Copilot and Claude — through Generative Engine Optimization and Answer Engine Optimization, measured from real AI answers.…
Who we are
ArtherNeX gets B2B brands mentioned and cited by ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude when buyers ask for recommendations. GEO + AEO in one service.
Remote-first · Serving clients worldwide
The half of our service that gets you mentioned. We measure what ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude say when buyers ask for providers in your category — then make your brand the one they name, with consistent brand facts and credible third-party mentions.
The half of our service that gets you cited. We rewrite and structure your pages so that ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude quote them as the source — a direct answer first, supporting depth and structured data that matches the page.
Three free checks — AI Visibility, AEO Readiness and Rank Checker — are on the tools page. Terms are defined in the glossary.
What we believe
Every AI platform retrieves and synthesises differently, but they share one preference: content that answers real buyer questions, from sources whose facts can be verified. We optimise for that preference rather than for tricks that stop working at the next model update.
That means citable, answer-first pages first, then consistent brand facts everywhere the platforms look, then the credible third-party mentions that make a brand safe to recommend — and the same prompts measured again every month to see what changed.
How we report
Mentions, citations and competitor mentions come from real AI answers recorded with the prompt, platform and date, and are reported separately from third-party estimates. If something cannot be measured yet, we say so.
How we work
Four stages, one loop. Each stage ends with something you can hold in your hands — a baseline of real AI answers, a tracked prompt set, shipped fixes, a monthly report of where you were mentioned and cited.
You get a baseline you can trust: which buyer prompts ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude answer with your name, which with a competitor's, and the fixes ranked by business impact.
You get a fixed set of buyer prompts measured per AI platform and market, with the answer, the cited sources and the date recorded, so every later change can be compared to it.
You get the work done in priority order — answer-first pages, structured data, consistent brand facts and credible third-party mentions — each tied to a gap from the audit.
You get a plain-English monthly report built from the sampled AI answers: where you were mentioned, where you were cited, who was named instead, and what we do next.
How we measure
AI visibility is measured, not estimated: the same buyer prompts are asked on the same platforms — ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude — and every mention and citation is recorded with its evidence. Every number on this site and in client reporting is traced to one of these sources; third-party estimates are labelled as estimates and never mixed with observed figures.
Editorial principles
Case studies show only numbers that were measured for that client, with the measurement period and the data source named. Where nothing was measured, nothing is claimed.
Articles and tool reports say where a figure or observation came from. Third-party estimates are labelled as estimates and kept separate from observed data.
Services, case studies, articles and the glossary carry a visible last-updated date. Content that no longer holds is corrected or unpublished rather than left to age.
Every tool and every proposal states its limitations. AI answers vary with wording, time and location; mentions and citations are observed and reported, never guaranteed; a sample is not a market share.
By the numbers
Only figures we can stand behind — no projections, no industry averages presented as our own.
B2B clients delivered
8
Since we started — every engagement reported from real AI answers.
AI platforms tracked
6
ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, Claude
How it works
Four stages, one loop. Each ends with something you can hold in your hands — a baseline of real AI answers, a tracked prompt set, shipped fixes, a monthly report of where you were mentioned and cited — so you always know what was done, why, and what moved.
You get a baseline you can trust: what ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude answer when buyers ask for a provider like you — who is named, who is cited, where you are missing — and the fixes ranked by business impact.
You get a fixed set of buyer prompts measured per AI platform and market, with the answer, the sources cited and the date recorded, so every later change can be compared to it.
You get the work done in priority order — answer-first pages, structured data, consistent brand facts and credible third-party mentions — each tied to a prompt where a competitor was named instead of you.
You get a plain-English monthly report built from the sampled AI answers: where you were mentioned, where you were cited, who was named instead, and what we do next.
Next step
A free AI visibility audit: real answers from ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude for a sample of your buyers' questions, and the three fixes that matter most.