Maximize Product Discovery in AI

Yes. Seerly tracks feature-level and capability-level prompts separately from brand prompts, so you can see which parts of the product AI answers mention and which never come up.

This is usually where a positioning problem becomes concrete. The differentiator that leads every deck turns out to be absent from every answer an engine gives about the category.

• Prompts written around specific capabilities, use cases, and buyer intents
• Mention frequency per feature, broken out by engine rather than blended
• Features competitors are credited with on the same questions
• Movement per feature between scheduled runs, so a change is traceable

Underrepresented features are typically a content problem before they are a product problem, because no cited source states the capability plainly enough to be summarized.

Seerly shows the prompts where a competitor is recommended and your product is absent, together with the exact sources the engine cited to reach that recommendation.

Displacement usually traces back to a specific comparison page, review, or reference entry doing the persuading, not to the engine holding an opinion.

• Share of voice across your tracked prompt set, reported per engine
• Question-level detail on exactly where the competitor wins
• The citation sources behind each competitor recommendation
• How the competitor is framed on the aspects buyers ask about
• Movement between runs, so a newly surfacing rival is visible early

The practical response is generally publishing a clearer, better-sourced answer to the same question rather than arguing with the engine about its conclusion.

Yes. Seerly lets you edit the tracked prompt set, so launch questions, new category terms, and the objections your sales team hears can be added and measured from the launch date onward.

Adding the prompts before launch is what makes the comparison meaningful, because the pre-launch baseline is captured rather than reconstructed later.

• Prompts are editable, so launch questions can be added and retired
• Up to 100 tracked prompts per month on Pro, 25 on Basic
• Runs twice a week on Basic, more frequently on Pro
• Rolling comparisons across 7 days, 30 days, and 3 months

Engines pick up new material at their own pace, so read the movement as measured rather than expected.

Documentation is one of the public sources AI engines can read, so how plainly your pages state what the product does affects how accurately an assistant can describe it.

Seerly audits your public site so you can see which pages are legible to a machine reader before trying to explain a weak answer.

• Site audit covering 800 pages on Basic, or all pages on Pro
• Page-level issues affecting how content is parsed
• Which of your own pages already earn citations, and on which prompts
• Public pages only, with no CMS or code access required

The pages that get cited are usually the ones that answer a question directly, not the ones that read best as marketing copy.

Yes. Category and comparison questions are the core of what Seerly tracks, because those are the prompts where an assistant names a shortlist and your product either appears on it or does not.

Prompt sets are tuned toward recommendation, comparison, and experience phrasing rather than neutral definitional queries, because that phrasing is what makes an engine commit to naming products.

• Recommendation prompts, comparison prompts, and objection prompts
• Every brand named in the answer recorded alongside yours
• Rank within the shortlist, not just presence on it
• Editable prompts, so you can add the comparisons sales actually hears
• 25 tracked prompts per month on Basic, up to 100 on Pro

The same prompt set feeds visibility and sentiment, so presence and framing are always measured on identical questions.

Seerly keeps every scored run, so a messaging or documentation change can be checked against the same prompts and engines that exposed the problem, with the earlier runs still on record.

A fixed prompt set is what makes this credible. The comparison is not a fresh sample taken after the fact, and the questions do not quietly change between the two readings.

• Baseline captured on the first run, then movement across rolling windows
• Rolling comparisons across 7 days, 30 days, and 3 months
• Feature-level and category-level trends reported separately
• Per-engine movement, since one usually shifts before the others
• The verbatim response behind any point on the trend

Seerly reports the measured before-and-after. It does not forecast where positioning will land, and engines pick up new material at their own pace.

Seerly checks product recommendations on ChatGPT, Perplexity, and Google AI Overview, plus your Google search footprint. How many of those three you see depends on your plan.

Engines are reported separately because a shortlist can include your product in one engine and omit it entirely in another, and a blended average would hide exactly that.

• Basic: one engine of your choice, either Google AI Overview or ChatGPT
• Pro: all three, ChatGPT, Perplexity, and Google AI Overview
• Enterprise: additional engines on request, under a custom scope
• Your Google search footprint tracked alongside the AI results

Product marketers working a contested category usually want all three, since displacement rarely happens everywhere at once and the first engine to drop you is the early warning.