Business-case brief · forward this to your team
The business case for AI search visibility
A one-page argument you can read in a meeting or forward to a VP. Built on third-party research and our own measured data. Tip: print or save as PDF with Ctrl/Cmd + P.
1. The shift: buyers ask AI before they shortlist
Roughly 73% of B2B buyers now use AI tools in purchase research (2026 multi-source analysis). They ask ChatGPT, Claude, Perplexity, or Google's AI for "the best tool for X," and act on the short list it returns. The discovery step that used to happen on a search results page now happens inside one synthesized answer.
2. The cost of being invisible
When the AI recommends a competitor and not you, the buyer never clicks through — so the lost deal never appears in your analytics. It's silent churn at the very top of the funnel. And the answer isn't built from your website: roughly 95% of AI citations are third-party (Otterly), so being absent from the review sites, comparisons, and threads the engines cite means being absent from the recommendation entirely.
3. What the work actually is
AI visibility isn't a trick — it's a stack, and most of it compounds like SEO:
Measure
Establish share-of-model vs. competitors, per engine, with confidence intervals — so decisions are based on data, not a screenshot.
Foundation & entities
Technical SEO, consistent entity signals, and structured data so engines can identify and trust you. ~90% of AI Overviews cite a top-10 page (seoClarity).
Answer-first content
Quotable, self-contained pages, comparison tables, and FAQs the engines can extract and cite.
Off-site authority
Accurate, well-reviewed placements on the third-party sources the engines actually cite — the bulk of the work.
4. The honest expected return
We won't hand you a fabricated ROI multiple — anyone who does is guessing. What's defensible: AI-referred buyers arrive further along (the AI has already pre-qualified the category), the channel is still under-contested for most B2B niches, and the work compounds. The right way to size it for your business is to plug your own numbers into the AI Visibility ROI calculator — a directional, honest estimate, not a promise. And because roughly 40–60% of AI-cited sources change month over month (Profound), early, sustained work is worth more than a late scramble.
5. What it costs and how to start
Transparent, fixed pricing — no $10k/mo agency retainer to find out where you stand. Start with a measured baseline:
- Free AI-Visibility Teardown — a no-cost snapshot of where you're recommended (and where a competitor is) across engines.
- Full Audit ($2,000) — the measured full-stack baseline + a 30/60/90 roadmap. The audit fee is credited to a retainer started within 30 days.
- Growth retainer (from $1,500/mo) — ongoing measurement, content, schema, and authority work.
See the full ladder on pricing, or use find your fit to get a recommendation by goal and budget.
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Sources: 2026 multi-source B2B AI-adoption analysis; Otterly (State of AI Search); seoClarity (362k-query AI Overviews study); Profound (AI search volatility); Clear Cited AI Visibility Index (measured 2026-06-20). Measurements reflect a point in time; we don't guarantee rankings or citations.