Profound
AI search visibility platform
Profound tells you how your brand shows up inside AI answers, and it pays off only when someone owns the weekly loop from insight to published content.
Enterprise and agency teams who track AI-answer visibility across engines, benchmark which competitors get cited, and have the content or PR muscle to act on what they find.
The score proves nothing on its own. Visibility can move from your content, a competitor, a source change, or plain model variance, and Profound can't tell you which.
Reach for it when AI visibility has a named owner and a weekly action queue. A dashboard nobody acts on just burns budget.
What you're actually getting
Profound runs structured prompts across answer engines on a schedule, then reports where your brand is mentioned, cited, and described, and how competitors stack up. Around that core it adds prompt-demand research, AI-crawler analytics from your site logs, and content agents.
The boundary matters. Profound measures AI-search visibility and helps you act on it. It does not write your content, fix the third-party sources AI engines cite, or replace your content team.
A dashboard score is a read on the prompt set you configured. It is not proof that any edit moved the market. Keep that distinction in view every time the number changes.
It has some good aspects, but it was also one of the limited expensive options in the market targeted more to enterprise and e-commerce companies.
Where it earns its keep
The strong fit is a team that needs repeatable, cross-engine measurement: brand presence over time, which competitors get cited, and which AI crawlers hit the site. The integration surface reaches CDN logs from Cloudflare, Vercel, and CloudFront through to CMS and analytics tools.
It earns its place when AI visibility is a funded, named responsibility. The company raised a Series C at a reported $1B valuation, so category momentum is real, and the measurement layer beats a manual prompt-checking spreadsheet.
Is it worth it? Its kind of not the worst vs otherwise having no data.
Where it'll bite you
Decision validity is the trap. A score can shift because of your content, a competitor, a source change, or model variability, and the tool cannot untangle which. Predefine a holdout prompt set and pair any score change with qualified AI sessions, citations, and conversions before you claim credit.
The read layer does no work on its own. Buying Profound with nobody to fix cited sources or publish content gets you a sophisticated dashboard and no movement. Name an owner and a weekly action queue before you sign.
The entry tier is narrow. The $99 plan tracks ChatGPT only with 50 prompts, so confirm the engines, prompts, regions, and exports you need against the plan you are quoted.
They only get the first prompt string… Everything else is guessed or made up via LLM prompts - and the same with all the other GEO tools.
What it costs, really
Starter is $99 a month, ChatGPT only, with 50 prompts and 100 agent credits. Growth is $399 a month for three answer engines, 100 prompts, and 400 credits. Enterprise is custom and holds broader engine coverage (up to nine), SSO/SAML, and SOC 2.
Agent runs consume credits by complexity, with overage either billed or paused. Older reviews list different prices, so verify engine coverage and entitlements in writing against the current plan.
as someone who once used Profound (now moved to Promptwatch), LLM visibility tools definitely have their value.
I was very skeptical, and after using it my skepticism grew even more… Nevertheless, I wouldn't use it again.
Same job, other tools
Also filed under SEO, GEO & AI search visibility:
37 sourcesEvery claim on this page is traceable. Open the receipts.
- 1Profound homepageProduct shape and module overview.official
- 2Profound platform featuresAEO, Prompt Volumes, Agent Analytics, Agents.official
- 3Profound pricingCurrent plan comparison checked 2026-08-15.official
- 4Profound integrationsCurrent connections catalogue; plan/module caveat.official
- 5Profound developer introductionAgent Analytics and custom log-drain paths.official
- 6Answer Engine Insights overviewPrompt, visibility, citation, sentiment, share-of-voice definitions.official
- 7Agent credits help articleUpdated 2026-06-11; credits and overage/pause behavior.official
- 8Call API help articleUpdated 2026-06-12; Agent GET/POST API node.official
- 9Profound privacy policyLast updated 2026-07-14; controller/processor, vendors, AI and analytics.official
- 10Vulnerability reporting policyLast updated 2026-04-01; public reporting process.official
- 11Official AI informationCanonical identity, legal name, category, enterprise claims.official
- 12Agency Mode overviewPitch/client workspace behavior.official
- 13Profound Series C announcementVendor launch/funding context.vendor
- 14Profound on G2Identity-matched public review page; directional.public
- 15Profound on CapterraIdentity-matched profile; no meaningful public review signal.public
- 16Fortune funding reportIndependent funding/company reporting.independent
- 17GlobeNewswire Series C releaseVendor-distributed release.vendor
- 18Dealroom funding noteIndependent funding corroboration.independent
- 19AlleyWatch funding reportNYC startup reporting.independent
- 20TechRadar AEO testCategory-level hands-on comparison and directional-score caveat.independent
- 21CGTMO Profound reviewGTM review; stale pricing snapshot flagged.independent
- 22Prompt Insider review2026 review; superlatives and vendor claims caveated.independent
- 23Vismore reviewAgency/vendor-adjacent engine and enterprise review.vendor
- 24Bradlee Bartlett analysisPractitioner analysis of measurement versus strategy.independent
- 25GenerateMore reviewAgency review of B2B SaaS workflow and data model.vendor
- 26AISO reviewCompetitive review updated 2026-08-15; onboarding and self-serve caveats.vendor
- 27AllAboutAI reviewSearch extract only; direct page returned 403 and older price conflicts.independent
- 28SearchTides reviewAgency workflow layered on Profound data.vendor
- 29AnswerMentions analysisExecution-gap and buyer-check analysis.vendor
- 30ReviewHuman reviewEnterprise price/fit review.independent
- 31Dupple review2026 pricing/fit review.independent
- 32Reddit visibility scoresAnecdotal score-to-action concern.practitioner
- 33Reddit using ProfoundMixed proof, UX, and pricing discussion.practitioner
- 34Reddit former userAnecdotal category and former-user experience.practitioner
- 35Reddit pricing discussionConflict disclosed; read-only/pricing criticism.practitioner
- 36Profound customer review synthesisVendor-hosted customer themes and objections.vendor
- 3710x EditorialNon-clickable portal judgment, pilot design, and buying guidance.editorial