Key takeaways
- Profound withdrew its brand self-serve plans in mid-September 2026. Brands now get a 7-day trial or a quote-only Enterprise plan, so your renewal is a negotiation, not a price list lookup.
- A CFO wants three things: the cost of the status quo in dollars, what the replacement is worth, and the assumptions behind both. Build the case in that order.
- Compare tools on cost per tracked prompt per engine for your actual workload. Pricing units (prompts, credits, workspaces, per-index) are not comparable at face value.
- Count switching costs honestly: lost history, export limits, security reviews, and the hours your team spends migrating.
- Present a range (conservative, expected, optimistic), not one number. The template below does this.
Why this is a finance conversation now
For most of 2026, you could justify a visibility tool with a price on a web page. Profound's published Starter was $99 and Growth was $399, and plenty of reviews still quote them. Those numbers are stale. According to geotoolbox's pricing breakdown, the brand self-serve plans were withdrawn in mid-September 2026, and as of October 14 the pricing page offers brands a free 7-day Trial (50 prompts daily on ChatGPT, Gemini and Google AI Overviews) and a custom-priced Enterprise plan.
That changes who needs to sign off. A quote-only contract with unknown renewal terms lands on a CFO's desk in a way a $399 card charge never did. It also means you can't build the case from a pricing page. Get a written quote first.
One caveat before we go further. Most public pricing comparisons for this category come from competing vendors, and I couldn't find an independent audit of what Profound actually quotes. One competitor estimates Enterprise at roughly $2,000 to $5,000+ per month. Treat that as a rough guess and replace it with your own quote.
This guide is not saying Profound is a bad product. It raised $96M at a $1B valuation in February 2026, and reports a $180M Series D in September, and says it serves more than 1,000 enterprise brands. The question is whether it is the right spend for your team at the price you are being quoted. Sometimes the answer is yes, and a good business case can conclude that too.
Step 1: Document the status quo in dollars
CFOs don't buy tools, they approve investments. Start with what you spend and get today, not with what the new tool costs. The general CFO guidance in digna's business case template and the Qatalys CFO guide both lean on the same idea: show the cost of doing nothing before you ask for money.
Collect these numbers:
- Current annual contract value, including credits, seats and client workspaces
- Renewal date, notice period and any auto-renew uplift
- Prompts tracked, engines covered, and how many of those you actually review
- Hours per month spent pulling reports, cleaning exports or rebuilding dashboards by hand
- Anything you pay for separately because the tool doesn't cover it (crawler logs, traffic attribution, content production)
Fully loaded hourly cost times hours is the line item finance trusts most. Use it.
Normalize the unit: cost per tracked prompt per engine
Pricing models differ wildly. Profound's Agency Growth is $99/month plus $399/month per full client workspace, and a workspace runs 100 daily prompts across 3 engines. That works out to roughly $4 per tracked prompt per month. Otterly sells by prompt tier, Peec AI by prompts and models, Ahrefs Brand Radar per index, and some vendors by credits.
Pick your real workload, for example 150 prompts on 4 engines in 3 countries, and price every candidate against that same workload. Anything else is comparing apples to invoices.
Step 2: Define what the tool has to do
Before you compare vendors, write down the requirements. Most monitoring tools run the same core mechanic: schedule prompts, store responses, draw a dashboard. Ahrefs' Tim Soulo makes this point, and while he works for a vendor with its own angle, the observation is fair. The differences that matter are elsewhere.
Requirements that survive scrutiny from a finance reviewer:
- Per-engine reporting. Promptwatch Data's sources per response report found ChatGPT cites about 5 sources per web-search answer, while Google AI Overviews and Perplexity cite about 10. Citation slots are scarce and differ by engine, so a tool that blends engines into one score hides the story.
- Intent segmentation. In Promptwatch's content type data for Sep 28 to Oct 4, 2026, product pages were 26.0% of ChatGPT citations on commercial prompts versus 22.4% overall, and reviews rise to 5.6% on branded prompts. A tool that can split commercial, informational and branded prompts gives you data you can act on.
- Daily tracking. ChatGPT's behavior moved several times this year. Promptwatch Data recorded the citation drop around GPT-5.3 on March 4, a sudden jump in site: operator fan-outs on August 8, and Reddit's share of ChatGPT citations collapsing on August 14. Weekly snapshots miss all of that.
- Data portability: CSV, JSON or API export of prompts, responses and citations.
- Security: SSO, SOC 2 or ISO/IEC 27001, whatever your procurement team demands.
- A path from insight to action, if your team is small and can't afford a separate content workflow.
Step 3: Shortlist alternatives and price them
Published entry prices from an IndustryLens snapshot and other October 2026 sources are below. They differ slightly between sources, and plans reprice often, so confirm every figure on the vendor's own page before it goes in a deck.
| Tool | Entry price (approx.) | What you get at entry | Fit |
|---|---|---|---|
| Promptwatch | From $95/mo (Essential) | 50 prompts, all AI models, crawler logs, site audit, content gap analysis | Teams that want monitoring plus action |
| Otterly.AI | $29 (Lite), $189 (Standard) | 15 prompts at Lite; 100 prompts, 4 platforms at Standard | Small teams, basic tracking |
| Peec AI | about EUR 85-89 (Starter) | 50 prompts, 3 models | Agencies, multi-language |
| Semrush AI Toolkit | $99-$199 | 25-50 prompts | Teams already in Semrush |
| Ahrefs Brand Radar | $199 per index | Real-query data | Teams already in Ahrefs |
| Scrunch | $250 (Core) | 125 prompts | Mid-market and enterprise |
| AthenaHQ | $295 | Multi-engine tracking | Mid-market |
| Goodie | $295-$399 | 200 prompts at Starter | Ecommerce-leaning teams |
| Profound Enterprise | Quote only | Up to 9 engines, API, SSO/SAML, SOC 2 | Large brands with a dedicated AEO team |
The tools in the middle of that table are the ones most likely to show up on a real shortlist.
Promptwatch is the one I would evaluate first if the goal is to cut cost without losing capability. It tracks the real user interfaces of ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Copilot and others, and it pairs that with IP-verified AI crawler logs, visitor analytics for AI traffic, and a Content Agent that writes and publishes against your gaps. Monitoring-only tools stop at the dashboard. It is also ISO/IEC 27001 certified, which matters when security review is the long pole. Check promptwatch.com/pricing for current tiers.
Other tools worth a look depending on your situation:
If you want a wider view, the GEO software directory at bestgeosoftware.com lists far more options than a shortlist needs.
The consolidation option
One common CFO objection is "we need to see ROI from existing tools first." If you already pay for Semrush or Ahrefs, bolting on their AI module can look cheapest. It often is, on paper. The trade-off is usually shallower AI-specific data and fixed prompt sets. Put it in the model as its own scenario so the CFO sees you considered it.
Step 4: Count the switching costs
This is where weak business cases fall apart. Finance people have seen too many migrations that were "free" until they weren't. Include:
- History loss. Profound's Enterprise tier advertises all-time history. If you leave, you need to export it or accept a re-baselined trend line. Decide which, and say so.
- Export readiness. Confirm you can pull CSV, JSON or API data before you sign anything with the replacement. Do it during the trial, not after.
- Parallel running. Plan one to two months of overlap so you can reconcile numbers between tools. Budget for both subscriptions.
- Team time. Prompt re-entry, dashboard rebuilds, retraining. Estimate hours and multiply by loaded cost.
- Security and procurement. SSO setup, vendor questionnaires, DPA review.
- Reporting changes. If executives are used to a specific score, explain how the new score maps to it.
A small, honest switching-cost line makes the whole case more believable.
Step 5: The CFO-ready template
Copy this into a doc or slide. One page for the summary, one for assumptions.
Section 1: Executive summary
Decision requested: Approve [switch to X / renew Profound at Y / consolidate into Z]
Annual cost today: $____ (incl. credits, seats, workspaces)
Annual cost proposed: $____ (incl. one-time switching cost of $____)
Net 12-month impact: $____ (range: $____ to $____)
Payback period: ____ months
Primary risk: ____
Decision needed by: ____ (renewal notice date)
Section 2: Cost of the status quo
Profound contract value: $____ / yr
Renewal terms and uplift: ____ %
Manual reporting hours: ____ hrs/mo x $____ loaded rate = $____
Separate tools needed to fill gaps: $____ / yr
Capabilities we lack today: ____
Section 3: Options compared on the same workload
Workload: ____ prompts x ____ engines x ____ countries
Option A (renew Profound): $____ / yr -> $____ per prompt per engine
Option B (switch to ____): $____ / yr -> $____ per prompt per engine
Option C (consolidate into suite): $____ / yr -> $____ per prompt per engine
Section 4: Scenarios
| Scenario | Assumption | Year 1 impact | Confidence |
|---|---|---|---|
| Conservative | Cost saving only, longest migration, 2 months parallel running | Lower bound | High |
| Expected | Saving plus reclaimed reporting hours | Mid-range | Medium |
| Optimistic | Saving, reclaimed hours, and revenue from acting on gaps | Upper bound | Low |
CFOs would rather see conservative numbers they believe than aggressive ones they dismiss. Lead with the conservative column.
Section 5: Assumptions table
| Assumption | Value | Source | What changes if wrong |
|---|---|---|---|
| Profound renewal quote | $____ | Written quote dated ____ | Savings case weakens or disappears |
| Replacement price | $____ | Vendor page / quote | Payback lengthens |
| Migration hours | ____ | Team estimate | One-time cost rises |
| Parallel run | ____ months | Plan | Double subscription cost |
| Hours saved per month | ____ | Time log | Soft benefit shrinks |
Section 6: Risks and mitigations
List data portability, security review, score discontinuity and vendor repricing. The category reprices often, so ask for a 12-month price lock.
Step 6: Prepare for the objections
The same three objections come up in almost every software approval.
| Objection | What they really worry about | How to answer |
|---|---|---|
| "We can build this ourselves" | Vendor dependency and cost | Soulo and others point out a basic tracker can be built in weeks. Price the engineering hours, the ongoing maintenance as engines change UI and behavior, and the opportunity cost. Include the real-UI tracking and proxy costs. |
| "It's not in the budget" | Budget discipline | Tie it to the renewal date. If Profound's renewal is higher or unclear, the budget is already being spent, so this is a reallocation. |
| "Show me ROI from what we already have" | Tool sprawl | Show the consolidation scenario and why you did or didn't pick it. If you replace Profound, vendor count stays flat. |
Step 7: Run a proper trial
A business case is a forecast. A trial turns it into evidence.
- Load the same 50 to 100 prompts into both tools.
- Run both for two to four weeks on the same engines and countries.
- Compare mention rate and citation rate per engine. Note differences and investigate why.
- Test the export, the API and one custom dashboard.
- Ask each vendor for a written quote, with renewal terms, before the trial ends.
If you want to see where you stand before you start, Promptwatch has a free AI Visibility Report that needs no login. It's a quick sanity check, not a substitute for a trial.
When you should stay with Profound
I'd be suspicious of any switching guide that never says this. Profound is built for large brands with a dedicated answer-engine team. If you need up to 9 engines, SSO/SAML, SOC 2, an API and its AI Marketer workflows, and the quote is acceptable, staying can be the cheapest option once you add migration costs. Document that outcome as Option A in your template. A CFO who sees a fair comparison that still favors renewal will trust your next request more.
Final checklist
- Written Profound quote and renewal terms in hand
- Every option priced on the same prompt, engine and country workload
- Switching costs, parallel running and lost history included
- Three scenarios with the conservative one first
- Assumptions table with sources, and prices verified on vendor pages
- Export and security requirements tested during the trial
- Decision date set ahead of the renewal notice deadline
Get the quote this week. Everything else in the case depends on that number.