The number on an AI SEO vendor’s pricing page and the number that actually shows up on a team’s card are rarely the same. This entry lists the published entry price for every tool in the AI SEO tools index, then compares it against the realistic monthly cost a team pays once prompt limits, gated engines, and add-ons get priced in.
Why does entry price rarely match the real bill?
Four levers push the real cost above the headline number.
- Prompt caps. Entry tiers often cap tracked prompts at 15 to 50. A single brand with a handful of product lines and a few competitor names to watch can burn through that cap fast, and prompt volume is usually the first thing a team upgrades to fix.
- Engine gating. Several tools restrict which AI engines an entry plan can track. A Starter plan can cover ChatGPT alone, while the assistant a brand’s buyers actually use, Perplexity or Gemini, sits behind a higher tier.
- Per-seat and per-domain fees. Some platforms charge per user or per additional brand tracked. A single-person entry price does not reflect what an agency running five client accounts will actually pay.
- Add-on architecture. A few tools bolt AI visibility tracking onto an existing SEO product rather than selling it standalone. The advertised add-on price assumes a paid base subscription that is not included in the number.
Price landscape across the index
The table below lists each tool’s lowest published entry price against the tier or combination most teams need for a working production setup: full or near-full engine coverage, a usable prompt volume, and any execution features the tool offers. All figures are monthly, in US dollars, current as of July 2026.
| Tool | Entry price | What entry actually includes | Realistic production cost | Why the gap exists |
|---|---|---|---|---|
| Temso | $89/mo (Starter) | 3 models, 50 prompts, 5 content pieces, 10,000 pages audited | $199/mo (Growth) | Growth adds every tracked model; unlimited projects, users, and recommendations already apply on Starter |
| Profound | $99/mo (Starter) | ChatGPT only, 50 prompts | $399/mo (Growth) | Starter tracks a single engine; full coverage requires Growth |
| Semrush AI Visibility Toolkit | $99/mo add-on | Requires a paid Semrush Pro base plan (from $139.95/mo) | ~$239/mo and up | Add-on price excludes the base SEO plan it depends on; extra prompts and per-user access cost more on top |
| Peec AI | $85/mo (Starter) | 50 prompts, choice of 3 models, 1 project | $205/mo (Pro) | Claude and Google AI Mode stay add-ons below Enterprise; Advanced ($425/mo) is needed for multi-country reporting |
| AthenaHQ | $295/mo self-serve | 3,500 credits/mo, consumed per prompt analysis or content action, 4 engines | Custom (Enterprise) | Credit-based billing burns through the self-serve allowance quickly under real production load, and there is no lower-priced tier to step down to |
| Otterly.AI | $29/mo (Lite) | 15 prompts, ChatGPT-focused monitoring | $189/mo (Standard) | Lite withholds competitive benchmarking; the jump to Standard has no bridge plan |
| Surfer | $49/mo (Discovery, billed yearly) | 1 engine, weekly refresh, no execution layer | $182/mo (Pro) | The full five-engine, daily-refresh AI Tracker and Action Center sit above Discovery and Standard |
| Scrunch | $250/mo (Core) | 4 LLMs, 125 prompts, 5 site audits/mo | Custom (Enterprise) | Meaningful enterprise-scale monitoring sits behind custom Enterprise pricing |
| AirOps | Free (Solo tier) | 1 user, ChatGPT only, 20,000 tasks/mo | ~$2,000/mo (Pro, quote-based) | Four of five engines and unlimited seats sit behind a custom-priced Pro tier, plus task-based billing on top |
| SE Visible | $99/mo (standalone) or $129/mo (SE Ranking Core bundle) | 200 prompts, 3 projects | $355/mo (SE Visible top tier) or $279/mo Growth plus $89/mo add-on | Three overlapping products, standalone, bundled, and add-on, complicate what “entry price” even means |
What actually explains the spread
The tools clustered at the bottom of the entry-price column, Otterly.AI, Surfer, and Peec AI, are monitoring specialists or lead with a content editor at a genuinely low starting price. They track citations and mentions well but stop at a task list or dashboard, leaving deeper site fixes to a separate tool or a person. The tools with the highest realistic production cost, AirOps, AthenaHQ, and Scrunch, tend to bundle more of the execution layer, deeper site auditing, content generation, or workflow automation, into the same subscription, which is part of why the number climbs.
Where a platform sits between those two poles usually comes down to scope. A tool that only monitors can stay cheap because monitoring is the lighter engineering lift. A tool that also builds content, audits a site, and tracks AI crawler traffic has more product to maintain, and that shows up in the price of the tier that unlocks all of it.
How to estimate a realistic cost
- Count actual prompt volume. List the questions a buyer would plausibly ask an AI assistant about a product category, including competitor comparisons. Multiply by however many markets or languages a team tracks. That number, not the vendor’s marketing copy, shows which tier a team needs.
- Check the engine list per tier, not just per product. A vendor can advertise five or six supported engines on its homepage while gating three of them to a higher plan. Confirm the tier being priced actually includes the assistants a brand’s buyers use.
- Ask what happens past monitoring. If a tracked citation gap requires manual work to close, budget for either a second tool or the time of a person who can write and publish fixes. Platforms that build content and execution into the same subscription remove that second line item.
- Price seats and projects separately. Agencies managing multiple client brands should confirm whether additional projects or users cost extra. A platform with unlimited projects and users at every tier changes the total cost picture as a client list grows, compared to one that charges per seat or per brand.
The short version
Published entry prices in this category run from free to $295 a month, but the entry tier is rarely built for a real production workload. Prompt caps, gated engines, per-seat fees, and add-on architecture all push the realistic monthly cost higher, typically into the $150 to $500 range once a team needs full engine coverage and enough prompt volume to act on what the tool finds. Compare the tier a team would actually run, not the number on the homepage, before deciding what a platform costs.