Services
Three services. No general practice.
Everything here assumes the paid channels are closed to you and that half the publishers you would normally approach will decline on category grounds. That assumption changes what is worth building, and it is the reason a generalist agency struggles in these markets.
Service 01
AI Visibility
Get named by ChatGPT, Gemini, Perplexity and Copilot — and measure it monthly.
Full detail →When a buyer asks an AI engine which one to use, a handful of names come back. We measure whether yours is among them, then build the third-party presence that puts it there.
The engines will not describe your product, but they will recommend it
Every major assistant declines explicit content. None of them decline the commercial question underneath it — which processor handles high-risk billing, which age-verification vendor to shortlist, which brand makes the better product. Those answers are being generated today, for your category, with someone named in them. The refusal everyone notices has distracted the whole industry from the recommendation nobody is measuring.
The work is almost entirely off your own domain
Brands are around six times more likely to be cited through third-party sources than through their own site. In restricted categories the gap is wider still, because the engines lean harder on sources they consider independent when the subject is sensitive. Roundups, comparison pages, community discussion, review platforms and directory profiles decide this. A site redesign moves none of it.
Four engines, four different source mixes
ChatGPT resolves heavily through Bing and licensed publisher content. Gemini and AI Overviews weight what Google has indexed and what it trusts. Perplexity leans unusually hard on community discussion, which is why Reddit threads decide more of this category than anyone expects. Copilot draws on Bing plus editorial. A programme optimising one surface will report healthy numbers while three others quietly fail.
Entity resolution comes before anything else
Engines have to be able to tell that your company is one company — the legal name, the trading name, the product name and the domain all resolving to a single node rather than four unrelated stubs. In this industry that is routinely broken, because operators use different names across directories, media and their own footer for perfectly sensible commercial reasons. It is unglamorous, and it is frequently the single change that moves a score.
A score that compounds
Each month we re-run your prompt set across all four engines and report the score, the per-engine breakdown, your share of voice against named competitors, and the citation source behind every mention. The number moves and you can see what moved it. Where an engine declines a prompt entirely we report that separately, because a refused prompt is a different problem from one a competitor won.
What it includes
- Baseline across ChatGPT, Gemini, Perplexity and Copilot — 50 prompts, three runs each
- Prompt set built from how your buyers actually phrase the decision
- Citation source map — which sources each engine drew on, per answer
- Entity audit: legal name, trading name, product and domain resolving to one node
- Organisation, Product and Review schema across the site
- Roundup and comparison-page placement programme
- Review-platform presence and velocity where one exists for your category
- Community and forum presence in the places the engines actually read
- robots.txt and AI-crawler access audit on the live domain
- Monthly scorecard with per-engine breakdown and refused-prompt reporting
What it excludes
- Guaranteed placement in any AI answer — no platform publishes source selection, and anyone promising it is overselling
- Buying or incentivising reviews in any form
- Astroturfed community posts or sockpuppet accounts
- Producing, editing, generating or distributing explicit content of any kind
- Any work that would have us publish or transmit the material itself
Shape of the work
- Week 1Baseline measured, refused prompts separated from lost ones
- Weeks 1–3Entity and schema work shipped, crawler access confirmed
- Weeks 3–12Roundup, comparison and community presence built
- Month 2+Monthly re-measurement — the score starts moving
Service 02
Organic Search
Organic search built for a category that cannot buy its way to the top.
Full detail →When the ad platforms will not take your money, organic stops being one channel among several and becomes most of the funnel. That changes what is worth building and what is worth ignoring.
The economics are different because the alternatives are missing
A mainstream brand weighs organic against paid and picks a blend. You often cannot. Google and Meta refuse large parts of this category outright and restrict most of the rest, which means an organic position here is worth considerably more than the same position in an unrestricted market — and the patience required to build it is not optional, it is the price of entry.
Written to be extracted, not just ranked
Pages lead with direct answers, use headings phrased the way buyers actually ask, and carry real specifics — pricing, integration lists, supported regions, limits. Research on generative engines consistently finds that concrete figures and citations lift visibility while keyword density actively reduces it. Content that reads well to a buyer and extracts cleanly to a model is the same content, which is convenient, because you only have budget to write it once.
The link graph is the hard part
Most of the standard playbook assumes you can earn links from mainstream publishers who will decline to link to you. What works instead is industry media, the comparison and roundup ecosystem, genuine tooling and data nobody else publishes, and partner relationships. It is slower and it is more defensible, because competitors who buy their way in leave a footprint that does not survive an update.
Structured data as standard
Organisation, Product and Review schema on everything that warrants it. This does not make an engine recommend you. It makes an engine able to tell what your page is about and which company is behind it, which is the precondition for everything else.
What we do not chase
Not volume for its own sake, and not head terms a young domain cannot hold. Winnable long-tail first, commercial terms once there is authority to spend. Publishing thirty pages against terms you will not rank for inside two years is a common and expensive way to look busy.
What it includes
- Technical audit — indexation, canonicals, crawl access, Core Web Vitals
- Keyword map filtered by difficulty, not just volume
- Commercial and comparison page architecture
- Schema for organisation, product and reviews
- Content briefs and production against the map
- Internal linking architecture
- Age-gate and interstitial audit — these routinely block crawlers by accident
- Monthly reporting to results, not sessions
What it excludes
- Link buying or private blog networks
- Content volume for its own sake — six good pages beat thirty thin ones
- Chasing head terms before the domain can hold them
- Explicit content production of any kind
Shape of the work
- Weeks 1–2Technical audit and keyword map
- Weeks 2–6Commercial pages and structured data shipped
- Month 2+Content production against the map, monthly
- Month 4–6Commercial terms become realistic targets
Service 03
Link Building
Authority built from the sources that will actually publish you.
Full detail →The standard playbook assumes publishers who will not return your emails. This is the version that works when half the internet declines the outreach on principle.
Rejection is the default, so the strategy has to assume it
Mainstream outreach in this category converts at a fraction of normal rates, and most of that is category refusal rather than anything about the pitch. Programmes built on volume outreach fail here. Programmes built on a smaller number of genuinely receptive source types work, and the resulting profile is harder for a competitor to copy precisely because it was harder to build.
Where the links actually are
Industry media and trade publications. The comparison and roundup ecosystem, which is also the layer AI engines cite most heavily. Partner and integration pages, which are frequently the highest-authority links available and cost nothing but a conversation. Original data and tooling that gives someone a reason to cite you. Conference and association listings.
The same work feeds the AI layer
A roundup that links to you is a ranking signal and a citation source simultaneously. This is the strongest argument for running link building and AI visibility as one programme rather than two: in restricted categories the source lists overlap almost completely, and buying them separately means paying twice for one outreach motion.
What a bought link costs you later
This category is saturated with vendors selling placements on networks that exist only to sell placements. They work until they do not, and the cleanup is more expensive than the original programme. We will tell you when a competitor is visibly buying, and we will not match it.
What it includes
- Link gap analysis against named competitors
- Prospect list built by source type, not scraped by volume
- Industry media and trade publication outreach
- Roundup and comparison-page placement — the layer AI engines cite
- Partner and integration page audit, usually the fastest wins available
- Original data or tooling development where the category lacks it
- Monthly reporting on referring domains, authority and citation overlap
What it excludes
- Paid links, private blog networks and placement marketplaces
- Guest post farms
- Any volume guarantee — a fixed monthly link count is a promise you can only keep by buying
Shape of the work
- Weeks 1–2Gap analysis and prospect list by source type
- Weeks 2–4Partner and integration wins — the fast ones land first
- Month 2+Media and roundup outreach, running continuously
- Month 3–6Authority compounds and commercial terms open up
By industry
The same three services, tuned per category.
The method does not change between industries. The questions buyers ask, the sources each engine trusts and the rules you work under all do.
Sexual Wellness Brands
$2M–50M revenue, direct-to-consumer, already spending on marketing
See the programme →Infrastructure Providers
10–200 people, selling to adult operators, already marketing actively
See the programme →AI Companion Apps
Funded or $50k+ monthly revenue, under 30 people, founder-led marketing
See the programme →Paysites and Studios
Established subscription business, already spending on affiliate or paid acquisition
See the programme →Adult Dating Platforms
Live platform with paid acquisition already running
See the programme →Cam Platforms and Studios
Platform with live traffic, or a studio recruiting models at scale
See the programme →Creator Agencies
Established agency with a roster, recruiting creators continuously
See the programme →Be the name AI gets named
Every engagement opens with a baseline, and the fee is credited if you continue. No discovery call required first.
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