Use an AI visibility audit to write a better product answer

Audit the product’s actual visibility

Thanks to PallasAI for sponsoring this video.

The video tests PallasAI on Luke’s SaaS, called Scripty in this recording. The starting audit reports 2.5% visibility and 11th of 11 products.

1. Supply the product website and its real category.
2. Save the audit date, queries, compared products and engines.
3. Read the returned answers: distinguish a mention, a recommendation and a citation.

Turn a gap into a useful page

The useful output is a reviewed answer to a high-intent question, rather than a large batch of generic AI pages.

1. Choose a question a potential customer would actually ask.
2. Draft a page that answers it with concrete product details and verifiable examples.
3. Review factual claims, competing-product comparisons and source links before publishing.
4. Make the page accessible from the site so a visitor can find and use it.

Monitor changes with the baseline intact

The early audit moves to 3.8% visibility and 10th place. That movement does not isolate the effect of one new page.

1. Repeat the saved audit and record dates and changing answers.
2. Inspect whether the page is discovered or cited rather than treating visibility alone as a sales outcome.
3. Continue improving the answer for readers while gathering a longer history.

The takeaway

Treat the early movement as a signal worth observing. It does not prove that publishing one page caused an AI recommendation.