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AI visibility and answer engine tracking tools · September 2026 Edition

Peec AI vs SE Ranking

Three of twelve models named Peec AI first on the direct prompt; zero named SE Ranking. Peec AI was named by nine of the twelve models and SE Ranking by nine and Peec AI carries 31 labels and SE Ranking 14, so the shares are not directly comparable.

Peec AI

accepted challenger

Named in one category this edition.

SE Ranking

accepted challenger

United States, founded 2012. Named in three categories this edition.

First-choice share8%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 11; printed, not drawn.
Labels3114A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Peec AI reading right to left. Rank and label count are printed, not drawn.Otterly was named alongside these two in seven of the twelve direct answers. Otterly vs Peec AI · Otterly vs SE Ranking · Profound vs Peec AI

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the AI visibility and answer engine tracking tools page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Peec AIFirst choices, of twelve modelsSE Ranking
Direct30
Paraphrase13
Comparative10
Budget-constrained00
Scale-constrained00
Negative003 against Peec AI · 1 against SE Ranking
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Peec AI and SE Ranking stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Peec AI SE Ranking first choice named as an alternative argued againstblank: not namedEach cell is one answer, Peec AI on the left and SE Ranking on the right.

The direct prompt

The plain question, one answer per model, grouped by where Peec AI and SE Ranking stood in it.

Peec AI first, SE Ranking not the choice

3 of 12 modelsSE Ranking was named in the answer but not as the choice, or not at all.
Grok 4.1 FastPeec AI alternatives: Otterly
Mistral SmallPeec AI alternatives: AthenaHQ, Otterly, Profound, Semrush AI Visibility Toolkit
DeepSeek V4 FlashPeec AI alternatives: Mentionova, Otterly, Wellows

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarWellows alternatives: Goodie, Otterly, Peec AI, Profound
Qwen 3.7 FlashOmnibound alternatives: Peec AI, SE Ranking
Kimi K2Scrunch alternatives: AIVO Platform, Goodie, Peec AI, Semrush AI Visibility Toolkit

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Wellows alternatives: Ahrefs Brand Radar, GrackerAI, Otterly
GPT-5.4 miniAthena alternatives: Semrush Enterprise / Enterprise AIO
Gemini 3.5 FlashHubSpot AEO Grader alternatives: LLM Pulse, Mentionova, Otterly, Profound
Llama 4 Maverickno first choice
GLM 4.7 FlashXSemrush AI Visibility Toolkit alternatives: Ahrefs Brand Radar, Otterly, Profound
MiniMax M2.5Wellows alternatives: Mentionova, Profound

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Peec AI leads by two points.
Peec AI4%#3 of 9
SE Ranking2%#– of 9
The full small business standing →
Mid-marketThe figures above
Peec AI leads by two points.
Peec AI8%#4 of 11
SE Ranking6%#6 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Peec AI2%#5 of 9
SE Ranking2%#– of 9
The full enterprise standing →

What the models said about Peec AI

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Peec AI, Otterly AI, AthenaHQ: Frequent complaints on plan limits ... Peec criticized for agencies/SMBs” Grok 4.1 Fast · negative prompt · hard negative
“Hidden costs: Real pricing is 30-60% above headline prices... No actionability... No ROI attribution” Kimi K2 · negative prompt · hard negative
“pure monitoring versions of Peec AI provide excellent data but lack built-in workflows to audit or fix your content” Qwen 3.7 Flash · negative prompt · soft negative
“Peec AI stands out as the best AI visibility and answer engine tracking tool for a mid-market B2B company.” Grok 4.1 Fast · direct prompt · first choice
“Peec AI offers the best balance of comprehensive tracking, competitive insights, and reasonable pricing” Mistral Small · direct prompt · first choice
“Peec AI is the strongest recommendation for a mid-sized B2B company.” Gemini 3.5 Flash · paraphrase prompt · first choice

What the models said about SE Ranking

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“they should be treated with caution as your primary AI visibility solution.” Qwen 3.7 Flash · negative prompt · soft negative
“Start with SE Ranking if you want: - A balance of affordability and depth” Mistral Small · paraphrase prompt · first choice
“Best overall for a mid-sized B2B company: SE Ranking” GPT-5.4 mini · paraphrase prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.