The full audit lives in the companion document. If you're reading this in isolation, here is the version that lets you make a decision about scope.
8.6% recognition across both names. AI is currently routing your customers to Publishing.com.
This is fixable. AI models cite a small, specific set of venues when answering questions in your category — the audit's citation map is the inventory. Where you're present and well-represented in those venues, AI gets you right. The rest of this document is what closing that gap looks like in practice.
The shape is mostly a citation-density problem, not a discoverability one. Your moat in AI search isn't "we rank #1" — it's "every venue AI cites about our category mentions us correctly." That's a structural fix, and it follows a known sequence.
Resolve entity ambiguity and anchor the Nespola / PublishingOS relationship across the structured-data layer. Founder LinkedIn anchored. Trustpilot claimed. Organisation & Person schema deployed. The plumbing AI search reads from.
Build presence where AI looks for evidence in your category — Reddit, YouTube, Trustpilot, KDP forums. The Nespola vs Publishing.com comparison page goes live. We publish articles answering the questions AI is currently getting wrong. We start posting in r/KDP and r/selfpublish on a regular schedule.
The work shifts from setup to monitoring. We re-scan against the audit baseline regularly, watch which prompts and platforms are moving, and adapt the next month's focus to what's actually shifting. AI training cycles are uneven and outside our control — we don't promise a specific recognition number by week 12. What we promise is that you see what's changing in real time, and that the strategy responds to it.
Backlinks and articles still matter, but they're a fraction of the surface area. AI visibility is a different discipline from traditional SEO — different surfaces, different feedback cycles, different failure modes. Most of the work AI search responds to lives at layers traditional SEO doesn't touch.
The layers must be sequenced. Citation density built on top of an unresolved entity graph reinforces the wrong relationships in AI memory. Counter-misinformation deployed without measurement is invisible. Each layer depends on the one below it being right first.
AI models update training and retrieval signals on cycles that range from continuous-but-throttled (Perplexity, ChatGPT search) to quarterly retraining (Gemini, Claude). The 90-day shape isn't padding — it's the realistic cycle in which AI search starts noticing the work, regardless of how fast we move.
Three predictable failure modes when brands attempt this work without specialist support:
This isn't solo work. AI search visibility is a citation-density problem that splits cleanly into a technical side and a content / SEO authority side — and the work compounds when both move in lockstep. SEO and AI search are not separate problems; they share the same evidence base. Fixing one feeds the other.
Builds and runs the AI visibility platform you've seen in this audit. Owns the entity engineering, schema markup (Organization, Person, Course/Product), technical SEO, founder-profile anchoring on LinkedIn, third-party listings (Trustpilot, ALLi, Writer Beware), monthly re-scans, and the dashboard you'll get read-only access to.
Has worked with Coca-Cola and similar enterprise brands. 90%+ of her clients have ranked on Google's first page across multiple high-intent keywords. Owns the cornerstone content (comparison pieces, SEO-optimised long-form), Reddit / community placements, YouTube outreach, and on-page SEO implementation.
Three options. Each is a complete product, not a stripped-down version of the next one up. SEO is included throughout — page-1 Google rankings and AI search recognition share the same signal infrastructure. Read-only dashboard access on every tier; you see the same numbers we see, updating live as scans run.
A complete 90-day implementation roadmap you execute yourselves, plus every template and asset you'd need to do it. Right if you have content capacity in-house and just want the plan, the priorities, and the measurement.
We handle the technical and authority work; you and your team handle the content. Right if you have writers and content capacity in-house and don't need us doing the writing too.
An embedded AI search and SEO team running continuously while you focus on Skool, the agency arm, and Nespola itself. Each month's focus shifts based on what the measurement layer surfaces as highest-leverage — not a static checklist applied identically every 30 days.
Strategy doc: citation-source map of Publishing.com / Mikkelsen Twins (which venues, formats, and topics earn their AI mentions); nespola.io technical audit; community-engagement audit; content gap analysis.
Six-month operating plan: month-by-month content plan with target keywords and the AI prompts each piece is built to win; PR / guest-post target list and templates; community-engagement guidelines.
Three live entity assets shipped in Month 1: founder LinkedIn profiles fully anchored, Trustpilot claimed, Organization & Person schema deployed. Foundational moves that don't need diagnosis and start working immediately.
The priority piece: Nespola vs Publishing.com comparison page. Highest-intent, highest-converting page we can build — AI is already failing on this exact prompt today.
Full technical foundation deployed: indexing, page speed, on-page SEO; full schema markup (Course/Product, FAQ on top of Phase 1); Trustpilot review-request flow live; ALLi and Writer Beware applications submitted.
First batch of cornerstone content live targeting the prompts AI is already mis-answering. Community and LinkedIn cadence begins.
~8 pieces of content per month in steady state — mix of partner-led masterpieces, AI-assisted cornerstones, and supporting topic-cluster pieces.
Founder LinkedIn keeps building — 2–3 ghostwritten or edited posts per month for Tommi & Nic.
Network-dependent work starts landing: guest posts, podcast / YouTube interviews, PR mentions. Pace varies, no monthly guarantee — this is when the relationships and outreach playbook from Phase 1 cash in.
Tier 3, with eyes open about Month 1.
Month 1 is strategy and plan — deep work, low visible volume. From Month 2, output ramps and the dashboard numbers start moving. The reason this phase carries its weight: skipping it is how agencies end up shipping eight generic blog posts a month that nobody cites. If €3,000/mo feels heavy this quarter, the Strategy Pack is a clean €2,500 way to start with no monthly commitment — and credits against Month 1 of Tier 3 if you upgrade within 60 days.
If you want to walk through scope, timing, or anything else — or just talk through the data itself — book directly:
— Cristofore (Node AI) & Ana Palombini