Brand Mention And AI Visibility FAQ
Detailed answers to the questions that come up most: how AI visibility works, how programmes run, what they cost, and how results are measured.
AI Visibility Fundamentals
AI visibility is how often, and in what context, your brand surfaces when assistants like ChatGPT, Gemini, Perplexity, Claude, and Copilot build answers and recommendations. It matters because B2B buyers increasingly research their options through AI before any other channel. A brand the models never name is invisible at the very start of evaluation, no matter how strong its SEO, ad spend, or traditional brand.
Models synthesise recommendations from the sources they treat as authoritative, mostly editorial coverage plus some brand-owned content. Four things matter most: how often you’re mentioned across independent sources, how much authority those sources carry, how relevant they are to the specific category, and how consistently you’re described across them.
SEO optimises your own website to rank in search results. AI visibility works through external editorial corroboration. The model doesn’t crawl your site and decide to recommend you, it synthesises what other trusted sources say about you. Brands with excellent SEO can still be absent from AI answers, which is why this needs its own strategy.
There’s substantial overlap, but real differences. Each assistant builds answers from its own mix of training data and live retrieval. Perplexity leans on real-time sources, Gemini reflects Google’s authority signals, and Claude favours rigorous long-form. A brand with broad, multi-source coverage shows up consistently, while narrow coverage may appear on one assistant and vanish on another.
Programme Mechanics
Every engagement runs in four phases: an AI visibility audit that sets your baseline and competitive gaps, strategy and publication mapping that produces your target list and editorial calendar, editorial execution that places coverage across the network each month, and measurement that tracks your citations continuously. The first two phases are time-bounded onboarding, then execution and measurement run continuously.
Expect 12 to 18 pitch angles reaching editors by the end of Month 2, your first confirmed placements by Month 3, and first measurable citation movement in tracked queries by Month 4, with a steady cadence by Month 5. Category-share movement against competitors builds from there, and full maturity, where the models consistently shortlist you, usually takes 9 to 12 months. The curve compounds, so programmes that stop early often miss the inflection.
Earned editorial across formats: ghost-written contributor articles, expert bylines, secured quotes in journalist-written features, analyst-aligned content, and genuine community engagement. The mix is calibrated to your category and the publications that matter most for your citation goals. We don’t run sponsored content for citations, because disclosure-tagged content is treated differently by the models.
Yes. You see drafts of editorial pieces before they go to publications. We agree the approval cadence during strategy, and most clients prefer a 48-hour review window with a named approver, which balances oversight with momentum.
Pricing And Commitment
The startup tier starts at $1,997 a month, the flagship tier at $4,997 a month, and enterprise is custom-quoted to scope. Full details are on the pricing page, with no hidden setup fees.
No. The audit and strategy work are included in your monthly retainer from day one. Onboarding is part of the programme, not a separate paid engagement.
Yes, a short one. The startup tier runs on a 3-month minimum and the flagship tier on a 12-month engagement, because the citation curve needs that horizon to compound. After the minimum, every engagement moves to 30-day cancellation.
After the minimum term, all engagements run on 30-day notice. We would rather keep you because the work performs than lock you in, and short programme pauses are available for genuine business interruption.
Measurement And Results
Through programmatic query testing. We run a defined set of category queries across the major assistants on a schedule, log every mention, citation, and source, and track your share against named competitors over time. It’s the same method whether you’re measuring your own movement or a competitor’s.
Your confirmed placements, your citation share across ChatGPT, Gemini, Perplexity, and Claude, the trend against competitors, and what we’re prioritising next. Everything we report is attributable, never impressions or estimated reach.
No honest editorial programme can guarantee a specific outlet or a fixed citation rate. What we commit to is a placement range per tier, full transparency on what lands, and a measurable citation-share trend you can hold us to.
Still Have A Question?
Get a free audit, or just reach out. A senior strategist answers every enquiry personally, usually within one business day.
