01
Observe the answers buyers receive
Run the questions your buyers actually ask across relevant answer engines. Record mentions, citations, competitors, factual errors, and missing categories.
AI discovery · source-linked
Be understood where buyers ask AI.
Light Reach reviews how answer engines describe, cite, compare, and recommend your company, then turns the most important visibility gap into evidence-backed work.
Example visibility signalSOURCE-LINKED
Buyers ask for an AI execution partner, but Light Reach is absent from the answer.
The cited pages define the category but do not contain Light Reach. The company site describes products, yet does not clearly answer the buyer question or connect it to verified work.
Evidence
4 cited sources
Next action
Publish comparison
Illustrative interface. Findings depend on the company, buyer questions, sources, and engines reviewed.
[01] The measurement loop
02
Explain why the answer looks that way
Trace the sources being cited, resolve contradictory company facts, and identify the specific evidence an answer engine cannot currently find or trust.
03
Rank the next corrective action
Compare content, technical, distribution, and product-proof opportunities by buyer value, evidence strength, effort, and measurability.
04
Ship, measure, and learn
Publish the approved work, request recrawls where appropriate, rerun the buyer questions, and connect visibility changes to qualified visits and pipeline.
[02] What we measure
Not a vanity score
Visibility only matters when the answer is accurate and the next action is valuable.
01
Answer presence
How often the company appears for a defined set of buyer questions.
02
Citation share
Which owned and third-party sources answer engines use when they mention the company.
03
Entity accuracy
Whether products, category, leadership, customers, and capabilities are described correctly.
04
Qualified response
Whether AI-referred visitors engage, convert, or create real pipeline.
[03] Straight answers
What this work can and cannot do.
We follow the public guidance of the answer engines and search platforms themselves. We do not claim a secret markup or guaranteed placement.
Is AI discovery different from SEO?+
It builds on good SEO. The additional layer is measuring the answers, citations, comparisons, and actions produced by AI systems, not only a page position in a list of links.
Can Light Reach guarantee a recommendation?+
No. No credible provider can control an answer engine. We can improve how clearly the company is described, make useful evidence crawlable, earn stronger references, and measure how answers change.
Do we need an llms.txt file?+
It can provide a concise, machine-readable guide, but it is not a substitute for crawlable pages, consistent company facts, structured data, original evidence, and third-party citations.
Where does Actionairy fit?+
Actionairy can hold each observation with its cited sources, rank the most valuable corrective action, preserve the approval record, and connect what shipped to the next measurement cycle.