The agent assembled a partial but functional understanding of Shortly AI by relying heavily on third-party review sites and search results, since the target website itself (shortlyai.com) is JavaScript-heavy and did not expose structured pricing or feature information in fetchable form. The agent successfully identified Shortly AI as a multi-model AI chat aggregator but encountered product name confusion and could not independently verify specific pricing tiers or differentiation claims directly from the source domain.

• ›Steps [4], [5], [6], [11], [14], [19] all returned third-party review and aggregator sites (coldiq.com, undetectable.ai, indsoftwork.in, sfyl.mom) that contained the bulk of the factual content about Shortly AI's pricing ($20/$60/month), features (100+ models, web search), and competitive landscape. Direct fetches of shortlyai.com ([1], [2]) returned only rendered HTML shells with no plaintext content.
• ›The agent discovered that a product name collision exists: 'Shortly AI' refers to both a writing assistant tool and a multi-model chat aggregator, but had to infer this from search result titles and review site content rather than from official positioning on shortlyai.com itself.
• ›The website's JavaScript-heavy rendering ([1] and [2] returned only boilerplate HTML with script tags, no content) meant the agent could not scrape pricing, feature lists, or differentiation claims directly. All pricing and feature specifics came from secondary sources citing the site, not from the site's own markup or API responses.
• ›Web search (67% of sources) proved essential because the target domain did not publish machine-readable content (no schema.org markup, no plaintext pricing table, no detailed feature documentation visible in raw HTML). The agent had to triangulate across multiple review sites to build confidence in the answer.