AI Visibility · Buyer’s Guide
Peec AI Alternatives in 2026: A Buyer's Guide With Verified Numbers
Peec AI advertises 350 prompts and up to 11 models. It does not advertise a price. We fetched every rival's pricing page rather than copying figures between listicles — and the gaps in the table turned out to be the most useful part.
Key takeaways
- Peec AI publishes no price. Its pricing page renders plan contents only: a 350-prompt tier with 3 models, unlimited users, daily tracking, 5 projects and multi-country support, plus a custom Enterprise tier reaching up to 11 LLM models.
- Of eight vendors we checked directly, only Profound ($99/mo for 50 tracked prompts, $399 for 100) and HubSpot AEO ($50/mo, $45 annual, 25 prompts) rendered readable prices.
- Peec's advertised allowance is large. 350 prompts is seven times Profound's entry tier — which makes the missing price the single most consequential unknown in the comparison.
- The entry tier covers 3 models. Buyers consistently flag that as thin, because it typically leaves out Claude and Copilot.
- The SERP for this query is almost entirely vendor-authored, each naming itself first. One 92-comment community thread has readers calling out planted content.
- Disclosure: Linkeddit sells a competing product (Answer Radar, $99/month inside Compete), held to the same evidence standard here as everyone else.
01What Peec AI publishes, and what it withholds
Peec AI is an AI search analytics tool aimed at marketing teams and SEO agencies. Its pricing page is unusually informative about capacity and completely silent about cost. Fetched directly, here is what it discloses.
The published tier also covers unlimited users, daily tracking frequency, 5 projects, multi-country tracking and a Looker Studio integration. Enterprise is described as fully customisable prompt tracking, a choice from all models, daily or weekly frequency, unlimited projects, API access and single sign-on.
That is a genuinely generous allowance. For context, Profound’s entry tier tracks 50 prompts and its $399 Growth tier tracks 100. A 350-prompt tier is seven times the former. Which is exactly why the absent price is the most consequential unknown here: the capacity looks excellent and there is no way to work out whether it is good value.
02Why comparison lists for this tool are unusually unreliable
This deserves saying plainly, because it changes how you should read every page competing with this one, including this one.
When we scraped the search results for this query, nearly every ranking page was published by a company selling a competing AI visibility tool, and in most cases that company appeared at number one on its own list. The pattern repeats across the whole category: the same handful of low-authority vendor blogs rank for “alternatives to” every tool in the space, each nominating itself. Very few are written by anyone without a product to sell.
The community has noticed. In a 92-comment thread specifically about Peec alternatives, a reader tells the original poster that their edit “looks planted.” The same thread contains the most useful framing of the whole category we found anywhere:
“At the pace the space is moving, the price of monitoring prompts will normalize and just move towards zero at some point soon. Unless you're ok swapping platforms every couple months, the real question to ask is 'who is building beyond monitoring / content generation?'”
And a sober assessment of why nothing quite satisfies yet:
“I think part of the frustration is expecting an Ahrefs style index for LLMs, which no tool really has yet.”
Linkeddit sells a competing product, so treat this page with the same suspicion. The one thing we can offer that a planted listicle cannot is traceability: every figure here names the vendor page it was fetched from, and where no figure exists we say so rather than inventing one.
03The model-coverage cliff, and why three engines is thin
Peec’s displayed tier lets you choose 3 models. Enterprise reaches up to 11. That gap is the most under-discussed variable in this category, and it matters because three engines usually means no Claude and no Copilot.
Buyers evaluating HubSpot’s three-engine AEO product raised exactly this objection, and it applies identically here:
“the '3 engine coverage' thing stood out to me too. like if youre betting on AI visibility as a real channel, not covering Claude or Copilot feels like leaving money on the table. those are huge in enterprise workflows. good point about the actionability gap too - dashboards are cool but if I cant actually do something about it from the same platform, whats the point”
Note the second half of that comment, because it is the recurring complaint about the entire category rather than any single vendor: a dashboard you cannot act on from the same place is a report, not a workflow.
Watch the add-on structure too. Otterly, for example, includes four engines and sells Claude, Gemini and Google AI Mode as paid extras on top. A headline engine count is not the same as a headline engine count included in the price.
04The alternatives, with verified numbers only
| Tool | Entry allowance | Engines at entry | Price on the vendor's own page |
|---|---|---|---|
| Peec AI | 350 prompts (tier shown) | 3 models, up to 11 on Enterprise | Not rendered |
| Profound | 50 tracked prompts | Not stated on the pricing page | $99/mo Starter, $399/mo Growth (100 prompts) |
| HubSpot AEO | 25 prompts | 3 (ChatGPT, Gemini, Perplexity) | $50/mo, or $45 paid annually |
| Scrunch | 125 unique prompts | 4 at entry, 9 on Enterprise | Not rendered |
| Otterly.AI | Tiers at 15 / 100 / 400 | 4, +3 as paid add-ons | Not rendered (+100 prompts costs $99) |
| Ahrefs Brand Radar | Tracked plus custom prompts | 6 AI platforms | Not rendered on the product page |
| Linkeddit Answer Radar | Included in Compete | 4 (GPT, Gemini, Perplexity, Claude) | $99/mo |
The blanks are the finding. Two of eight vendors will tell you what they charge. In a category whose entire value proposition is measurement and transparency, most sellers will not disclose their own price until you get on a call.
| Alternative | What it gives you over Peec AI | What you give up |
|---|---|---|
| Profound | A published, forecastable price ladder: $99/mo for 50 tracked prompts, $399 for 100, custom Enterprise. You can budget without a sales call. | A far smaller prompt allowance at entry — 50 versus Peec's advertised 350. |
| HubSpot AEO | The cheapest verified entry at $50/mo ($45 annual), no other HubSpot subscription required, with prompt suggestions, citation analysis, sentiment and prioritised recommendations. Free 25-prompt trial, no card. | 25 prompts, 3 engines, and it is still labelled beta. |
| Scrunch | Site audits, personas, funnel stages and query fan-out alongside tracking. Enterprise reaches 9 LLMs including Claude, Gemini, Meta AI and Grok. | Also publishes no price. Entry covers 4 LLMs, 1 country, 2 languages, 5 competitors. |
| Otterly.AI | Published allowances (15 / 100 / 400) and a clear $99 per extra 100 prompts, so the marginal cost is at least knowable. | No plan price rendered. Claude, Gemini and AI Mode cost extra on top of 4 included engines. |
| Linkeddit Answer Radar | Runs the loop instead of stopping at a score: measures GPT, Gemini, Perplexity and Claude, ranks gaps by intent and evidence, drafts a fix grounded only in the sources seen in that run, then re-measures. $99/mo with weekly competitor intelligence included. | Built for founders and small teams, not enterprise procurement. Narrower analytics surface than a dedicated enterprise platform. |
05The question to ask every vendor on your shortlist
Ask how the tool handles retrieval mode. An engine can answer from what it learned in training or from what it fetched seconds ago, and those are different measurements that most dashboards blend into one line.
HubSpot states the split openly on its own AEO Grader page: ChatGPT and Gemini pull from training data; Perplexity pulls from live search. A competitor publishing that is the clearest available confirmation that a single blended visibility score averages two things that behave nothing alike.
“AI prompt tracking can fool you into thinking you're doing great at AEO or GEO, when really you've just temporarily hijacked a search result.”
Three follow-ups worth asking: do you label the retrieval mode per measurement, do you record the model version behind each run, and what does the chart do when a run fails? A tool that logs an API failure as zero visibility will show you a collapse that never happened.
06The free method, if you are switching on cost
Before paying anyone, check whether you need a paid tool at all. This approach was shared by an agency practitioner in r/SEO and works because it targets the layer underneath the AI answer: the search queries the engine actually runs.
- List the buying questions that matter — questions, not keywords. Most teams have under twenty that affect revenue.
- Ask each engine twice, once with web search on and once off, recording who is recommended and which sources are cited.
- Extract the underlying query. Claude usually lists it in the answer, Perplexity exposes it under Steps, and you can ask ChatGPT what it searched for.
- Track those queries in your existing rank tracker, tagged as LLM-sourced.
- Cross-check volume in Google Search Console so you prioritise the questions that carry real impressions.
“For now, many brands are better off just using a spreadsheet and manually reviewing AI answers for a small set of queries.”
Measure the gap, then close it
07How to choose
| If this is you | Do this |
|---|---|
| You need a price you can forecast without a sales call | Profound ($99/mo for 50 prompts, $399 for 100) or HubSpot AEO ($45-50/mo for 25). They are the only two publishing figures. |
| Peec's 350-prompt allowance is what you actually need | Stay, but get the price in writing and confirm which 3 models are included before you sign. |
| You need Claude or Copilot covered | Check the add-on pricing carefully. Entry tiers of 3-4 engines usually exclude both; Scrunch reaches 9 LLMs only on Enterprise. |
| Your score never leads to an action | Pick a tool that shows the cited sources behind a loss and re-measures after you ship a fix. That is the job Answer Radar is built for. |
| You track under 20 questions | Do not buy anything yet. Run the free method in section six monthly and put the budget into classic SEO, which still feeds most AI answers. |
Frequently asked questions
How much does Peec AI cost?+
Peec AI does not publish a price on its pricing page. We fetched peec.ai/pricing directly: it renders plan contents but no dollar figures. What it does show is a tier covering 350 prompts with a choice of 3 models, unlimited users, daily tracking frequency, 5 projects, multi-country support and a Looker Studio integration, plus a custom Enterprise tier that reaches up to 11 LLM models with API access and single sign-on. Figures you see quoted for Peec in third-party roundups cannot be traced to the vendor, so treat them as unverified until Peec quotes you directly.
What is the best Peec AI alternative in 2026?+
It depends which constraint binds. If you need a published price you can forecast against, Profound is the only direct competitor with a clear ladder at $99/month for 50 tracked prompts and $399/month for 100, and HubSpot AEO is cheaper still at $50/month or $45 annually for 25 prompts across three engines. If you need breadth of model coverage, Scrunch reaches 9 LLMs on its enterprise tier. If your actual problem is that a visibility score never changes anything, the alternative is a tool that runs the full loop, which is where Linkeddit's Answer Radar sits at $99/month bundled with competitor intelligence.
Why are Peec AI alternative lists so unreliable?+
Because almost every page ranking for the query is published by a company selling a competing tool, and each one places itself first. In our scrape of this SERP the ranking pages were overwhelmingly low-authority vendor blogs, several of which name themselves as the number one alternative. The community is aware of it: a 92-comment thread on Peec alternatives in r/GEO_optimization includes a reader telling the original poster that their edit looks planted. This page is written by a vendor too, which is why every number in it is attributed to the vendor page it came from.
How many AI models does Peec AI track?+
Peec's pricing page shows a choice of 3 models on the tier it displays, with the Enterprise tier described as covering all models and up to 11 LLM models tracked. That gap matters more than it first appears: buyers repeatedly flag that three engines is thin if you are treating AI visibility as a real acquisition channel, because it typically excludes Claude and Copilot, which are heavily used in enterprise workflows.
Is Peec AI or Profound better for B2B SaaS?+
They optimise for different things and only one of them lets you check the price. Profound publishes a clean ladder ($99 for 50 tracked prompts, $399 for 100, custom Enterprise), which makes it forecastable. Peec advertises a far larger allowance at 350 prompts with unlimited users, daily tracking and multi-country support, but withholds pricing. For a small B2B SaaS team, the deciding question is usually not which dashboard is prettier but how many buying questions you need tracked and whether you can get a number in writing before you commit.
Do AI visibility tools separate live web search from training data?+
Most do not disclose it, and it is the most important thing to ask. HubSpot documents the split openly on its own AEO Grader page: ChatGPT and Gemini pull from training data while Perplexity pulls from live search. Those are different measurements. A retrieval-on result reflects whichever pages currently rank and can disappear as quickly as it appeared; a retrieval-off result reflects whether the model itself associates your brand with the category. A single blended score that does not label which mode produced it is a number without error bars.
Related guides
- Peec AI, Otterly and Profound compared
- Profound alternatives: what you give up on price transparency
- Best AI brand visibility tools in 2026 (and when not to buy one)
- Answer Radar: AI brand visibility and answer engine optimization
- Why ChatGPT recommends your competitors instead of you
- Competitor intelligence: track rival moves and complaints