Software to Track Brand Visibility in ChatGPT AI Search Recommendations for B2B Vendors
B2B buyers ask ChatGPT who to shortlist. Tracking that recommendation is a prompt log plus citations, crawls, and referred pipeline, not a one-off screenshot.
B2B vendors do not lose sleep over a lifestyle mention. They lose sleep when ChatGPT Search answers "best SOC 2 pen test platform" or "HubSpot alternative for mid-market" and the shortlist is three competitors. That is a recommendation, not a brand "vibe." Tracking it means you stored the prompt, stored the answer, and can say whether you were named, linked, or skipped.
A founder pasting the question once a quarter is not software. The answer changes. So do the citations underneath it. A quarterly paste captures one frame of a moving picture and treats it as the picture. The software job is to store every frame so the movement is visible.
What "recommendation" means in the log
You care about three states. Named with a citation to a page you own. Named with a citation to G2, Reddit, or a partner. Absent, with a competitor in the slot. Those are different tickets. "We were mentioned" as a single boolean hides the G2 problem: you paid for a review program and ChatGPT still prefers a roundup you do not control.
The three states map to three different actions. A citation to your page is a win to protect. A citation to G2 is a review-program problem. An absence with a competitor is a content-gap problem. Mashing them into one boolean means you fix none of them, because you cannot tell which one you have.
The three-state split is the part that decides whether the tracker is useful. A single "mentioned yes or no" column answers a question nobody in a B2B revenue team asks. The question they ask is "did ChatGPT point the buyer at our page, at a third-party roundup, or at a competitor." Those three answers need three different teams to act on them: the first is a content win to protect, the second is a review-program or PR problem, the third is a content-gap problem. A tracker that collapses them into one boolean gives the revenue team nothing to dispatch, which is why a quarterly paste feels like enough until a deal closes to a competitor who was in the slot.
Prompt lists for B2B should be the questions sales already hears. Category + qualifier (industry, size, region, compliance). Personas help when the same product is sold to a CISO and a marketing ops lead. Country targeting matters for vendors who only sell in the EU.
ChatGPT is 820M+ weekly active users on Promptwatch's published figures. That is why this query names ChatGPT first. Still track Perplexity (22M+ monthly) and Gemini (650M+) if those show up in deal notes. Paid Promptwatch plans cover them in the same project.
The deal-notes filter is the practical version of this. A prompt that never shows up in a sales call is a prompt that does not matter to revenue. A prompt that shows up in every other call is the one to track first. The prompt list is a sales artifact, not a content-calendar artifact.
Trackers versus a vendor program
Otterly.AI will show mentions across its base engines from $29/mo. Claude is an add-on. Data can lag a week. No crawler proof, no conversion proof. Fine to learn the category. Otterly sits last in our roundups because a week of lag and no conversion proof is a thermometer, not a program.
Profound is what a well-funded B2B team demos. Starter at $99/mo annual is ChatGPT-only, 50 prompts. The ten-engine story is Enterprise. Agents can draft content actions. If you have a dedicated analyst and a contract, it is a serious monitoring desk. It still does not publish our crawler-log or AI-referral conversion features as a documented SKU. Profound ranks below the dedicated AI-search platforms because its center is Enterprise agents, not tracking.
AthenaHQ turns findings into an Action Center. $295/mo Starter, credit burn, one country on Starter. Closer to "do something" than a thermometer. Schema tasks are not the same as a ChatGPT citation to your comparison page. The Action Center is the reason to pick AthenaHQ; the credit meter and single-country limit are the reasons to read the card carefully.
We put Peec AI last in these roundups. Excellent screenshots, $95 Starter with three models, extra models on the bill. Monitoring only. Peec is honest about what it is, and what it is stops at monitoring.
The software we run this query to
Promptwatch is the B2B-shaped answer on this site because the recommendation is not the last step. Citation analytics show whether ChatGPT pointed at your /vs page or at a Reddit thread. Visitor analytics (script or GTM) show whether the AI referrer converted, which is the number revenue wants. Agent Analytics can add the missing fetch evidence, but it starts on Professional for brand accounts. Essential does not include those crawler logs.
Content Agents can fill a gap and push to Webflow or Framer after a human accepts. That is how a missing "best X for Y" page becomes a URL instead of a slide. Essential is $95/mo with 50 prompts, 5 AEO articles, and country targeting. Professional is $245/mo and first adds 25M crawler logs and state or city targeting. Explore is free and ChatGPT-only, which is enough to prove the shortlist is ugly.
Integrations that B2B teams use: Google Search Console import into Prompt Explorer, Looker Studio on Professional+ and agency plans, Slack, MCP, REST API. SSO is Enterprise.
The B2B shape of Promptwatch is the chain from recommendation to revenue. A mention is step one. A citation to your page is step two. A crawler log that proves the fetch is step three. A referred conversion is step four. A tracker that stops at step one answers the wrong question for a vendor whose revenue depends on step four.
A week-one setup that matches sales
Pull twenty prompts from Gong notes or the FAQ, not from the blog calendar. Include the competitor-named variants ("X vs Y"). Turn on citation trends, not just a share-of-voice blob. If a prompt is always answered from a third-party roundup, the ticket is offsite, not another homepage rewrite.
Do not wait for "real-time alerts." Paid Promptwatch checks are daily. Instant alert SKUs are a different product story we will not invent. Daily is enough to catch a recommendation shift inside a sales cycle. A weekly check is enough to miss a deal that closed on Tuesday.
OpenAI documents ChatGPT Search for publishers (utm_source=chatgpt.com) and the search crawler separately. Referrals in analytics without a mention log still leave you guessing which recommendation drove the session. Put both in one workspace. Then the software is doing the job this query named.
The week-one setup is built around a simple principle: the prompt list belongs to sales, not to content. A content team builds prompts from keyword research, which produces a list of high-volume queries that may never come up in a deal. A sales team builds prompts from the questions they hear on calls, which produces a list that maps directly to revenue. Starting from Gong notes or the FAQ gets you the second list, and the competitor-named variants are the ones that decide a shortlist, so they belong in the first twenty even if they are low volume.