Best AI visibility tools for B2B software.

The criteria that matter in this market.

• 01

  Prompt allowance, not engine count

  Every vendor advertises how many answer engines it covers, and the number is close to meaningless once the main four are included. What runs out is prompts. A B2B category generates dozens of legitimate buyer questions per product line, before regional or segment variants, and the allowance on entry plans is usually the binding constraint on whether the tool tells you anything useful.

• 02

  Named competitors in the output

  Knowing you were absent is a fact with no action attached. Knowing which three products the assistant named instead, and which sources it cited when it named them, is the finding that turns into work. Any tool that reports only your own presence is worth less than its price whatever that price is.

• 03

  Export, so it reaches the people who act on it

  Visibility data that lives only in a vendor dashboard gets looked at during the trial and never again. An export or an API means the numbers can sit beside pipeline data where a revenue team already looks, which is the difference between a metric and a report someone remembers to open.

• 04

  Coverage of the engines your buyers actually use

  Technical buyers over-index on Perplexity and on ChatGPT with search enabled, while procurement and executive research skews toward whatever is built into the tools already licensed. Which engines matter is an empirical question about your category, so a tool covering four engines you can name beats one covering nine you cannot.

1. 01 · Suite

   Ahrefs Brand Radar

   Best for: Teams already paying for Ahrefs

   Two tiers published: "Select platforms" at $398/month and "All platforms" at $699/month. Source

   The prompt-check allowance is the largest of the tools examined, which matters more here than anywhere else, and the existing keyword data sits alongside it so search and answer visibility can be read together rather than in two tabs.

   Full comparison

2. 02 · Platform

   Profound

   Best for: A dedicated tool with room to grow

   Starter at "$99/month" and Growth at "$399/month", both billed yearly. Enterprise is listed as custom. Source

   Built for this job rather than added to a suite, with tiering that scales from a single brand to a large tracked set. Read the engine coverage on the entry plan carefully before buying it, because the cheapest tier is narrower than the marketing implies.

   Full comparison

3. 03 · Suite

   Semrush AI Visibility Toolkit

   Best for: Teams already inside Semrush

   Published as "$99/mo per domain billed annually". Source

   The cheapest route to a first real answer for a team that already has the suite and the habit of opening it. The custom prompt allowance is modest, so treat it as a way to find out whether the problem is real rather than as the instrument you run the programme on.

   Full comparison

Every figure above is quoted from the vendor’s own published pages and links to the page it came from. Products change pricing and feature tiers without notice, so check the source before deciding on it. KoldOS is an agency rather than a competing tool, and takes no commission on any of these.

Red flags in any pitch.

• A share-of-answer figure quoted without the prompts that produced it. Unreproducible by design.
• A single blended score across engines, which hides the one surface you are actually losing.
• A tool that reports presence but never names the competitor that appeared instead.
• One-off screenshots offered as evidence. Model answers vary between runs, so a single check is a sample.
• Any promise of a ranking guarantee. No engine publishes a ranking API for its answers, so nobody can guarantee against one.

How many prompts does a B2B software company actually need?

Enough to cover the questions that precede a purchase in your category, which in practice means dozens rather than a handful. Count the jobs your product is bought for, multiply by the phrasings a buyer might use, and add the named-competitor comparisons. The number that falls out is usually larger than the entry tier of most tools allows.

Do review sites matter more than our own site?

Review platforms are structured, frequently updated and heavily referenced, which makes them exactly the kind of source an engine reaches for when asked to compare products. Your own site is where the specifics live and where a citation sends a buyer. Both matter, and neglecting the review corpus while perfecting the site is the more common mistake.

Can we just check manually?

Manual checking works to establish whether a problem exists and is the sensible first step. Where it fails is in tracking change, because answers vary between runs and a person checking occasionally cannot separate a real movement from ordinary variance. Automated sampling exists to make the trend readable, not to produce a better single answer.

Is documentation worth optimising?

Documentation says checkable things about how a product behaves, which is the kind of passage a model can quote without hedging. Marketing pages tend to make claims that require trust. In categories where the buyer is technical, the docs frequently carry more citation weight than the homepage, and they are usually the part of the site nobody has looked at.

Should we buy a tool before or after fixing the site?

Fix access and rendering first, because those decide whether anything else can work, and both are free to diagnose. Buy measurement once you need to know whether the work is moving the number. Buying in the other order produces a year of dashboards confirming a problem you could have found in an afternoon.