AI Search Visibility
Here's what AI search currently says about you. Most brands have never checked.
Brands that already rank well in classic Google results but are asked by leadership "what’s our AI-search plan?" with no operational answer.
Evidence
Reading AI-answer presence
Which engines cite you and which don’t, for a defined set of priority queries — that’s what the Baseline package actually measures, run fresh against your own query set. The panel alongside is an illustrative rendering.
See the full artifact →What the baseline actually measures
- AI-answer presence baseline
- Where you’re currently cited (or absent) across AI Overviews, ChatGPT and Perplexity for a defined query set
- Content-structure audit for extractability
- Whether your pages are written in a form generative engines can actually quote
- Entity & schema review
- Whether structured data correctly identifies who you are and what you offer
- Prioritized visibility plan
- Ranked recommendations to close the citation gap, specific to your content
Not included
Guaranteed inclusion in any AI answer (no vendor controls that, including the engines themselves) · Content writing (structural recommendations only — drafting is a Content & On-Page SEO engagement) · Paid or sponsored placement in AI answers (this doesn’t exist as a legitimate product, and we wouldn’t offer it if it did) · Classic keyword-ranking tracking (see Technical SEO Audit / Content & On-Page SEO)
How we measure AI visibility
Query a defined set of priority questions across AI Overviews, ChatGPT and Perplexity, and record who gets cited.
Identify why you’re absent: content structure, missing entity data, or genuinely being outranked by a better answer.
Structural and content recommendations to make your pages extractable and citable, delivered for your team to build or built directly under the Program tier.
Re-run the same query set on a fixed schedule to see whether citation actually changed.
What changed, what didn’t, and what’s next.
The gap nobody's checked yet
- Leadership has asked "what’s our AI-search strategy?" and the honest answer is "we don’t know."
- Content that ranks well in classic search doesn’t get cited or quoted when the same question is asked of ChatGPT or an AI Overview.
- Nobody on the team has actually looked at what AI systems currently say about the business — there’s no baseline to improve against.
Two ways to measure and act on AI visibility.
foundation · STL-AIV-BL
AI Visibility Baseline
A measured reading of where you're cited across AI Overviews, ChatGPT and Perplexity.
- A defined query set built from your priority topics, or supplied by you
- Manual verification of each AI engine's response, not an automated scraper report
- One round of clarifying questions before the report is finalized
- Direct access to the analyst who ran it
program · STL-AIV-PRG-M
AI Visibility Program
Ongoing AI-visibility tracking and implementation, reported monthly.
- Everything in the AI Visibility Baseline, run monthly
- Implementation guidance for each cycle's recommendations
- A monthly written report compared against the original baseline
- A direct contact for questions between reports