[ AI Visibility Intelligence ]

Help customers find your brand in AI answers

I analyze a declared set of decision questions, citations, sources, answer framing, and competitors across selected AI surfaces. The result is an operating map under stated conditions, not a generic scorecard.

Analyze your brandSee what AI reads
what you get
Initial brand AI visibility baseline
Query map by intent, language, and market
Source, citation, and competitor map
Sentiment, trust, and differentiation diagnosis
Practical guidance for the team updating the site and its content
who it's for

Brands strong offline, weak in AI answers

The market knows you, but AI engines cite other names when it matters.

Marketing teams already investing in SEO

You have content and traffic, but do not know if they are legible and citable for AI engines.

Founders and CEOs who want data

You want to know where you stand, who is ahead, and which actions matter first.

Sound familiar? Send me the context and I'll tell you whether starting here makes sense.

Analyze your brand
how it works
  1. 01

    Question map

    I build decision questions by intent: discovery, comparison, vendor selection, problems, alternatives, and objections.

  2. 02

    Multi-engine measurement

    I query AI engines and collect citation, position, sentiment, source, and competitor patterns.

  3. 03

    Source intelligence

    I identify the sources shaping answers: owned pages, media, directories, reviews, forums, and third-party content.

  4. 04

    Brand clarity and credibility

    I show where the brand appears unclear, insufficiently supported, or inconsistent compared with competitors and the sources shaping the answers.

  5. 05

    Operating priorities

    I deliver briefs ranked by impact: source content, schema, entities, citable pages, and external sources.

The five-stage system behind this service, explained in full. See the GEO loop

how it starts

[ First step required ]

Kickoff on brand, offer, audience, and real competitors, followed by building the first question set to test. The questions are delivered in full: they are the part that makes everything else repeatable.

[ after the baseline ]

A baseline is worth as much as the comparison you make against it. Re-measuring the same question set every ninety days is a separate retainer, and it only starts once the baseline exists.

AI Visibility Monitor

[ advertising on ChatGPT ]

Want to test the paid channel without confusing it with organic citations? The ChatGPT Ads pilot uses separate measures and decisions.

Explore ChatGPT Ads Pilot
what I don't do
  • I do not promise appearance in a generative engine. Google states no markup can guarantee it, and anyone selling it is selling something the engine vendor says does not exist.
  • I do not deliver a single visibility score. An index hides exactly the information decisions are made on: which questions, which sources, who replaces you.
  • I do not produce your content at editorial volume. I deliver production-ready briefs; execution stays with your team or your supplier.
  • I do not do link building or buy mentions.

[ the next step ]

The analysis produces a backlog, and that backlog is largely repetitive work: monitoring questions, updating pages, checking consistency between your site and external sources. It is exactly the kind of process worth running as a workflow with roles and controls, rather than adding it to someone's workload.

Integrate AI into business processesTrain your team through a real project
related analysis

Want to know where to start?

Send context, website, and objective. I'll reply with the most sensible first step.

Analyze your brand