Engineering a firm'smachine-readable authority.
The AI-fy TRIAD addresses the three layers an assistant reads: whether it can reach you, whether it can parse you, and whether the wider web corroborates you. One method, measured against a baseline, from technical foundation to entity authority.
Scoped to outcomes, not hours.
SEO and LLMO optimize for different systems.
They are not the same work, and progress in one does not transfer to the other. The comparison below is structural, not a ranking.
| LLMO with AI-fy | Traditional SEO | |
|---|---|---|
| Optimizes for | ChatGPT, Gemini, Claude, Perplexity | Google and Bing results pages |
| Weights | Access, structure, corroboration | Keywords and backlinks |
| Output | Inclusion in one synthesized answer | A position on a page of links |
| Core metric | Share of answer, shortlist inclusion | Keyword rank, clicks |
| Signal timeline | Two to four weeks, technical layer | Three to six months |
What the TRIAD addresses.
Three layers, repaired in order, each with a metric that shows movement.
Can AI reach and read you?
Crawler access for GPTBot, ClaudeBot, PerplexityBot and the rest. Server-side rendering so key content is visible. Organization and Person schema, an llms.txt file, a clean sitemap.
Can AI parse and quote you?
Priority pages rebuilt answer-first. Headings phrased as buying questions. Tables and lists structured to parse cleanly. The evidence density that earns a citation.
Does AI trust you as the source?
A verified entity web of consistent profiles, strengthened author signals, and corroborating mentions on the sources assistants cite, tracked as share of answer.
Built in a deliberate order.
Each stage depends on the one before it. The trend is reported against the starting baseline throughout, so progress is always attributable.
Baseline
Share of answer is measured across the four engines on your priority buying-intent prompts.
Foundation
The technical and content layers are repaired so assistants can reach, read and parse the firm.
Build
Entity authority is constructed and corroborating signals are placed on the sources AI trusts.
Compound
The firm is re-tested against the baseline, and the trend is reported until it is cited on priority prompts.
Three scopes.
Each engagement is scoped to the value at stake and set with you in the conversation. The scopes differ in depth, not in method.
Foundation
For a firm that needs to become readable and cited.
- Full TRIAD repair of the technical layer
- Answer-first rebuild of priority pages
- Schema, llms.txt and crawler access
- A measured share-of-answer baseline
Authority
Adds the corroboration that earns the answer.
- Everything in Foundation
- Multilingual entity consistency across markets
- Mention placement on the sources AI cites
- A re-test against the baseline
Sovereignty
Holds the position as the engines change.
- Everything in Authority
- Ongoing monitoring across the four engines
- Entity maintenance as markets evolve
- Priority advisory access
Most firms begin with a sprint and continue into the partnership as results compound.
Clear accountabilities on both sides.
AI-fy provides
- The methodology and the analysis
- The implementation
- Reporting against your baseline
- Traceable logic for every change
You provide
- Access to the site and a content owner
- A single point of contact who can decide
- Approvals within five working days
- Confidentiality, kept by both sides
Movement against a baseline.
A baseline is taken at the start and a re-benchmark at the end. Every report shows movement across ChatGPT, Gemini, Claude and Perplexity. The work is EU-based and worked to European data-governance standards, with the logic behind each change documented.
The essentials.
How long does an implementation take?
The technical layer is readable within the first weeks. A foundation engagement typically completes inside six weeks; an authority engagement runs to around ten and includes a re-test against the baseline. Ongoing governance then runs over twelve months.
Why are engagements not billed by the hour?
Because hours measure input, not result. The clock would reward a slower consultant, while you are best served by a fast outcome. Engagements are scoped to the value at stake, so the incentive is the result rather than the duration.
We operate in several language markets. Is that handled?
Yes. Entity consistency across DACH, Benelux and the UK is part of the authority work. Inconsistent signals across languages split a firm's authority and read as uncertainty to an assistant. The aim is for the entity to read as one firm in every market.
What access is required?
Access to the site and a content owner, plus a single point of contact who can approve decisions within five working days so momentum holds. The method, analysis, implementation and reporting sit with AI-fy.me.
Start with the outcome.
A thirty-minute conversation scopes the value before anything is built.
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