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AI Search Services

LLM Visibility

Language-model responses can draw on training data, retrieval systems, connected search, or other provider-specific sources. We sample how selected systems represent a brand, record visible citations and factual inconsistencies, identify content gaps, and build a repeatable monitoring process while acknowledging that no test can comprehensively observe every model, prompt, user, or response.

Researcher using a laptop to observe AI search responses.

Baseline Sampling

We establish a starting sample with a defined set of branded, non-branded, service, industry, and location prompts. Responses are recorded with the model, date, prompt, visible citations, and material factual claims so later samples can be compared. This baseline is a time-bound observation rather than a complete picture of provider behavior. Prompt wording, personalization, model changes, retrieval sources, and randomness can all produce different responses.

Branded and Non-Branded Prompts

We test both branded queries (your company name) and non-branded queries (service + location). This distinction reveals whether LLMs know you at all and whether they recommend you for relevant needs. We compare your visibility against competitors, but only as an observation—not a ranking metric.

Source and Citation Observation

When LLMs cite sources, we track which pages or domains they reference. This helps us understand what content is being used and why. We also check whether your site is accessible to crawlers, but we don't assume that access equals citation. Our reports show what we observe, not what we expect.

Content Gaps and Repeatable Monitoring

We identify topics where your brand is absent or underrepresented in LLM responses. Then we recommend content changes to fill those gaps. Our monitoring runs on a regular schedule, but we're transparent about instability: LLMs update frequently, and visibility can change without warning.

What the engagement can produce

Practical deliverables

Visibility Baseline

A documented snapshot of your brand's appearance in LLM responses across a defined set of prompts.

Prompt Test Suite

A reusable set of branded and non-branded prompts designed for your business and market.

Citation Log

A record of which sources LLMs reference when answering your target queries, with dates and response excerpts.

Monitoring Schedule

A repeatable monthly or quarterly process to track changes in your LLM visibility, with clear caveats about variability.

See where you stand

Get a baseline of your LLM visibility today. We'll show you what's there—and what's missing.

A practical next step

Ready to turn more attention into customers?

Meet online, or we will come to your location anywhere in Pima County. Consultations are always by appointment.

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