[ 03 · AI Visibility ]

AI Visibility.
Show up when ChatGPT, Perplexity, and Gemini get asked.

Search is bifurcating in front of our eyes. By the end of 2026, somewhere between 25% and 40% of high-intent commercial queries will happen inside an LLM — ChatGPT, Perplexity, Claude, Gemini, Grok — instead of Google. The brands that win that traffic right now are the ones being cited and recommended by the models. The ones that lose are invisible. AI Visibility is the new battlefield, and most agencies haven't even seen the map.

[ 01 · Why it matters ]

The case for
getting this right.

01

ChatGPT alone serves over 200 million weekly active users, and a growing percentage of them are asking for product, service, and local business recommendations. Unlike Google, LLMs don't show 10 blue links — they pick a small handful of sources and synthesize a single answer. Get cited, or get skipped entirely.

02

LLMs are trained on a different signal mix than Google's algorithm. Pure backlinks matter less; entity recognition, structured data, brand mentions in trusted sources, and structured documents like llms.txt matter more. We tune for both retrieval and synthesis.

03

Early movers compound. The brands building AI visibility in 2026 are creating training-data presence and structured authority that will compound over the next 3–5 years of model updates. The cost of waiting is permanent — once the new models are trained, retroactive citation is much harder.

[ 02 · What you get ]

Six deliverables.
One outcome.

Every engagement ships these. No ambiguity, no scope drift, no 'we'll get to that later.' If it's listed below, it's part of the work.
01 llms.txt + llms-full.txt generation and maintenance
02 Entity + Knowledge Graph optimization
03 Schema markup (FAQ, HowTo, Service, LocalBusiness, Person)
04 AI citation tracking across Perplexity, ChatGPT, Gemini, Claude
05 Content adaptation for LLM retrieval + synthesis
06 Monthly AI visibility score + mention reporting
[ 03 · Process ]

Four phases.
No mystery.

01 —

Visibility baseline

Run 50+ branded and category prompts across ChatGPT, Perplexity, Gemini, Claude. Document where you appear, where you don't, and where competitors do.

02 —

Structured authority

Deploy llms.txt, schema markup, entity disambiguation, and Knowledge Graph signals so the models can find and trust you.

03 —

Citation building

Earn mentions in the publications and aggregators that the models actually retrieve from. Wikipedia, niche directories, tier-1 press, structured datasets.

04 —

Track & iterate

Monthly visibility score across all four major models. Watch what moves, double down, and adapt as the models change.

[ 04 · Engagement ]

What working
with us feels like.

Cadence

Monthly retainer. Baseline measurement up front, ongoing structured authority work + citation building.

Touchpoints
  • Visibility baseline — 50+ prompts tested across ChatGPT, Perplexity, Gemini, Claude
  • Monthly structured-authority sprint — schema, llms.txt, entity work, Knowledge Graph signals
  • Quarterly citation campaign — press, niche-pub contributions, structured-data placements
  • Monthly written report — visibility score, mentions, competitor gap
Reporting

Monthly AI visibility scorecard across all four major models. We track whether you're cited, where in the citation order, and whether you're being recommended vs. just listed.

[ 05 · Expected outcomes ]

What you can
realistically expect.

Honest milestones, not sales promises. Exact timelines vary by starting position, competition, and how quickly decisions get made — but this is the shape of a typical engagement.
Week 2

Baseline delivered. You see exactly where you appear (or don't) across ChatGPT, Perplexity, Gemini, Claude.

Month 2

llms.txt + schema infrastructure deployed. Entity disambiguation handled. Foundation in place.

Month 4

First tracked citations appearing in model answers. Visibility score moving.

Month 9

Meaningful recommendation presence across multiple models for core category terms.

[ 06 · Engagement tiers ]

Three ways
to work together.

Different businesses need different engagement sizes. The tiers below are framing, not pricing — every scope is priced after a discovery call. Anchored to fit, not to package.
Tier 01

Baseline

Fit Want to know where you stand before committing to a program.

Includes
  • Visibility baseline across 4 models
  • Competitor gap analysis
  • Prioritized recommendation list
  • Single written report
Shape

One-time engagement. Gives you the map so you can decide whether to build the road.

Most common
Tier 02

Foundation

Fit Ready to build structured authority — schema, llms.txt, entity work, Knowledge Graph signals.

Includes
  • Everything in Baseline
  • llms.txt + llms-full.txt
  • Schema + entity deployment
  • Content adaptation for retrieval
  • Monthly visibility tracking
Shape

3–6 month program. Goal: get found and trusted by the models.

Tier 03

Authority

Fit Want to be the default answer in your category — not just cited, recommended.

Includes
  • Everything in Foundation
  • Journalistic citation building
  • Niche-publication contributions
  • Competitive displacement campaigns
Shape

Ongoing retainer. Goal: compound recommendation presence over 12–24 months.

Not sure which tier fits? Run the visibility check → we'll recommend.
[ 07 · Proof ]
2026
Built for the next five years
CASE

BonsaiX.ai — our own 168-page AI SEO proof point

See the full portfolio
[ 08 · FAQ ]

Questions,
answered honestly.

01 Is AI Visibility just SEO with a new name?
+
No. There's overlap — both reward authority and structure — but the techniques diverge. Pure SEO ranks pages; AI Visibility earns citations inside generative answers. We do both, but the playbooks are different.
02 How do you measure if it's working?
+
Monthly visibility score across ChatGPT, Perplexity, Gemini, and Claude using a fixed prompt set. We track whether you're cited, where you rank in the citation order, and whether you're being recommended vs. just listed.
03 Should I wait until AI search matures?
+
If your competitors are waiting too, fine. Most aren't. The brands establishing entity authority now will be the default answers in 2027. Late entrants will spend 5× more to displace them.
04 Does AI Visibility help my Google rankings?
+
Yes — almost everything we do for AI Visibility (schema, entity work, structured authority) also helps traditional SEO. Google's AI Overviews use overlapping signals. It's a double dip.
05 What's llms.txt and do I need it?
+
It's an emerging standard — like robots.txt for LLMs — that tells AI crawlers what content to prioritize. Adoption is early but growing fast. Yes, you should have one. Yes, we'll write and maintain yours.
[ 09 · Start ]

Ready to scope
ai visibility?

Free 30-minute call with Bryan. No pitch deck, no sales team. We'll tell you honestly whether AI Visibility is the right next move for your business — or whether something else should come first.