Peec AI reviews compared: one footer, two different G2 figures, and no review count beside either of them

Looking for a Peec AI review, the first thing worth knowing is what the vendor publishes about its own reviews. Fetched on 20 October 2026, peec.ai served one document containing two different G2 ratings for itself: a footer line reading that it is rated 4.7 out of 5 on G2, and a second footer line in the same response reading 4.9 out of 5 on G2. Both appear on the home page and on the pricing page, identically under a Chrome on Windows and a Safari on macOS request, both HTTP 200. Neither carries the number of reviews behind it. Which figure a visitor sees depends on which footer block the page renders for them.

That is a presentation defect rather than a product defect, and it happens to the best built sites in this market. It is worth starting with because it is the exact thing a review page is for: telling you what the evidence actually is before you weigh it. We sell a tracker in this category and we publish no rating at all, so our own row below is empty.

The criterion, and where each vendor sits on it

One question, answerable from a vendor's own pages in ten minutes: what evidence about this product can a buyer read today, who produced it, and does the number carry a count and a date? We read the home and pricing pages of the six specialist vendors our own audits named, plus one further page each where one existed, on 20 October 2026.

Three of the six published a rating figure: Peec AI, Otterly.AI and Depra AI. One of the six published the number of reviews behind its figure, and it was Depra AI, at four reviews on Product Hunt with the date of the reading printed next to it. Three published no third party rating anywhere we looked: Profound, Scrunch and Rankscale. We publish none either, on our home page, our pricing page or our proof page, read the same day. Peec is ahead of us on this line and the gap is ours.

The directories that hold the missing denominators refused us. g2.com, capterra.com and trustradius.com each returned HTTP 403 to both user agents, so we have no count to report from any of them, and an estimate dressed as a reading is worse than a blank.

The advice on its own home page, which is correct, and the measurement beside it

Peec's home page carries a recommendations panel that tells its customers where engines look. One of its lines reads that G2 is regularly cited and that you should make sure you have a profile with reviews. Another names LinkedIn as a common source, and a third points at subreddit discussion. As a list of places engines read, that is sound and it matches what we see in our own source data: in the 597 reading run of 15 October 2026, g2.com was itself one of the ten most cited domains, appearing in 49 readings.

Where our own numbers add something is on how much of the whole picture that is. Across 1,260 readings of ChatGPT and Gemini on 16 October 2026 we recorded 20,143 citations across 4,947 domains, and the review directory class as a whole took 0.7 per cent of them. The earlier 597 reading run put the same class at 0.8 per cent of 10,652 citations. So the advice to hold a profile is right, and the size of that lever is small enough that it belongs well down a list rather than at the top of one. A business that fixes only its directory profiles has worked on under one per cent of the sources these two engines drew from.

The part of this product a buyer can genuinely verify before paying

Peec's own pricing page is unusually open, and it is more useful than its rating. Read 20 October 2026, it publishes three monthly tiers with prompt counts of 50, 150 and 350, a choice of three models on each, unlimited users, daily tracking, and then one annual Enterprise tier carrying API access, single sign on, the full model list of up to thirteen, custom prompt setup and unlimited projects.

The field that makes it stand out is a coverage panel naming available models, prompts, active models, frequency, countries, projects and languages, and then stating the arithmetic in words: monthly AI answers equal the tracked prompts multiplied by the active models multiplied by the tracking frequency. Very little in this market shows you the multiplication. It means you can size the purchase against your own workload without asking anybody, and it is the reason an honest answer to whether Peec is worth it can be reached from a browser.

What you want to settle	Where the published document settles it
How many AI answers a month do I get	The stated multiplication, run on the tier you would buy
How many of my team can log in	Unlimited users, stated on all three monthly tiers
Can I get the data out	API access is on the Enterprise tier only
How many models will watch me	Three on the monthly tiers, up to thirteen on Enterprise
How well is it reviewed	Not settled. Two figures, no count, on the same page.

How often this name appeared in our own readings, as two counts that stay apart

The first is a count of sources. In the 597 reading run of 15 October 2026, across ChatGPT and Gemini in the United States, the United Kingdom and India, peec.ai appeared in the source list of 49 readings.

The second is a count of recommendations, which is a different question with its own number. In the 1,260 reading run of 16 October 2026, counting a vendor once per reading where its name appears in the saved answer text, Peec AI was named in 198 readings. Nothing on this page adds the two, averages them or treats one as a version of the other, because being read to build an answer and being handed to a buyer as the answer fail for different reasons. Both runs covered two engines, so neither figure describes Perplexity, Claude or Google AI Overviews.

What to ask, given that the rating is unreadable

• Ask which G2 figure is current and how many reviews it averages. A seller who knows the count off the top of their head is a seller who reads their own evidence.
• Ask for the active model list on the tier you would actually buy, not the Enterprise list, and then run the published multiplication yourself.
• Ask what happens to your stored answers if you stop paying, because the exports sit behind the API and the API sits on one tier.
• Ask for one named reference in your own market. With no public review count available, a reference call is the evidence step that replaces it.

Questions buyers ask about Peec AI before buying

Is Peec AI worth it?

You can answer this one from a browser, which is rare here. Write out your buyer questions, count them, multiply by the active models on the tier you want and by daily frequency, and compare the monthly AI answers that produces against what you would otherwise read by hand. Then check whether three models covers the engines your buyers use. Those two sums decide it, and neither of them needs the rating.

Which is right, 4.7 or 4.9?

Both strings were in the single response we saved on 20 October 2026, so the honest answer is that the page shows both and we read it rather than choosing. Go to the directory and read the live figure with its count attached.

Does Peec publish a price?

It publishes the limits that set the price rather than a figure in the served document, which is why the arithmetic above is the useful part. We record what each vendor publishes and we do not reproduce anybody's price figures, our competitors' included, because an undated figure copied onto a third party page turns into a false statement about somebody else's product inside a quarter.

Should I build a G2 profile because Peec says to?

Build it, and put it in proportion. g2.com appeared in 49 of 597 readings as a source in our own 15 October 2026 run, so engines do read it. The whole directory class took 0.7 per cent of 20,143 citations in the wider 1,260 reading run on 16 October 2026. Worth an afternoon, not worth a quarter.

How many engines does the monthly tier watch?

Three models, chosen by you, on each of the three monthly tiers, rising to up to thirteen on the annual Enterprise tier. Pick the three against where your buyers actually ask rather than against the longest list.

A rating you cannot read is a reason to read something else

There is a quiet compliment inside this page. The one number Peec serves twice at two values is the one it did not need: everything that actually decides a purchase here is already written down, in words, on the pricing page, including the multiplication that converts your own prompt list into a monthly answer count. Do that sum, then go and ask the ten questions your buyers ask, blind, on the engines they use, and write down who gets named. The sum tells you what the subscription is for and the blind run tells you whether you need it yet. The same criterion applied to our own product, with the fields where Peec is ahead of us left in, is at AI Knows Us vs Peec AI, which is one of the 915 pages here, 46.7 per cent of 1,960, that nothing else on this site links to.