AI VISIBILITY SERVICES
When someone asks AI who to hire, is your name in the answer?
We measure it, build it, and re-measure it. No promises. Receipts.
AI answers are a shortlist
Two or three names, sometimes one. There is no page two of a ChatGPT answer.
The losses are silent
When AI recommends your competitors, no report tells you about the customers who never searched again.
Everyone promises. Few measure.
The AI SEO market is loud with claims and quiet on evidence. Ask anyone selling it for their baseline data.
Baseline. Build. Re-measure. In that order, always.
First, the baseline: we record whether you appear in Google AI Mode, AI Overviews, and ChatGPT for the 10-15 queries that actually make you money. Screenshots, dated. (Gemini draws on the same engine as Google’s AI results, so those checks already cover it.) Most owners have never seen this, and it reframes everything.
Then the build: structured, original content distributed across the surfaces AI systems read, bound to your business entity, and force-indexed so it exists to them at all.
Then the receipts. The scoreboard that matters is your own analytics: visitors arriving from ChatGPT, Gemini, and Perplexity, with the pages they land on and the actions they take. Server logs don’t have opinions.
REDACTED SCREENSHOT PLACEHOLDER: GA4 LLM REFERRAL TRAFFIC VIEW
1. Baseline
Your current presence in AI answers for money queries, documented and dated before anything gets built.
2. Build
Structured, original, citable content distributed and force-indexed across the surfaces AI reads.
3. Re-measure
AI referral traffic in your analytics, AI Overviews presence, and dated answer samples at 30 and 60 days.
Real engagements. Real numbers.
From one measured AI visibility engagement for a national B2B brand.
369
sessions referred by AI platforms
73%
engagement rate
34
tracked conversions
40+ min
average ChatGPT-referred session
How AI platforms decide which businesses to name
AI platforms don’t know your business exists unless the web tells them. When someone asks for a local recommendation, systems like ChatGPT and Google AI Mode pull from the sources they trust: business directories, review platforms, maps data, structured website content, and indexed pages across the web. Then they synthesize a short answer from whatever they found.
That means there’s no secret index to hack. The inputs are consistency (your details matching everywhere machines check), substance (pages that actually answer questions instead of listing services), structure (facts a machine can extract confidently), and proof (specific reviews that give the AI quotable reasons to recommend you). Businesses with thin or contradictory footprints don’t get ranked lower. They get omitted from the answer entirely.
The honest fine print: this works best when the foundation exists. A business invisible in ordinary search rarely leaps straight into AI answers; the systems draw from the same well of structured presence. If your baseline shows foundational gaps, we’ll tell you to fix local visibility first, because selling you the roof before the walls helps nobody. And nobody honest guarantees a citation: AI answers shift between sessions and personalize by user. What we claim is what your analytics logged. What we sample, we date.
Frequently Asked Questions
No one can force a citation, and anyone promising one is selling hope. What can be done: build the structured, original, indexed content AI platforms demonstrably draw from, then measure whether your presence in their answers changes. That measured approach has produced real AI-referred traffic and conversions in our client work.
Ask the platforms your customers use the questions they’d ask, or request the free audit and we’ll run the check for you across Google AI Mode, AI Overviews, and ChatGPT, with screenshots. Gemini’s answers draw on the same engine as Google’s AI results, so those checks cover it.
Indexed content can surface in retrieval-connected systems like Gemini within days, and ChatGPT typically reflects new indexed content in about two weeks. Meaningful movement on competitive queries is measured over 30 to 60 days. Niche difficulty changes timelines, and the baseline tells us early what you’re up against.
Yes. Generative engine optimization, AI SEO, LLM optimization, and AI visibility all describe the same aim: earning presence in AI-generated answers. We use “AI visibility” because it says what it means, and we distinguish ourselves by measuring it before and after rather than only claiming it.