AI visibility and answer engine tracking tools
Asked as “AI visibility and answer engine tracking tool”, and as “tool for tracking brand visibility in AI answers”, on behalf of a mid-market B2B software company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
01The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the two products at 0%, ordered by negative rate
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
11Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Otterly20%
Otterly20%02Profound10%
Profound10%03Rankscale10%
Rankscale10%04Peec AI8%
Peec AI8%05Scrunch8%
Scrunch8%06SE Ranking6%
SE Ranking6%07HubSpot AEO Grader4%
HubSpot AEO Grader4%08Semrush AI Visibility Toolkit2%
Semrush AI Visibility Toolkit2%09AthenaHQ2%
AthenaHQ2%10Ahrefs Brand Radar0%
Ahrefs Brand Radar0%11ZipTie0%
ZipTie0%02What they warned about
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Profound22%
8 of 37 labels negative · 4 of 6 models · 3 hard negative
“Price issue: $499/month for Lite plan is 48% more expensive than the category average... G2 reviews cite instability, slowness, and overwhelming dashboards” Kimi K2, negative prompt
Otterly9%
4 of 43 labels negative · 4 of 6 models · 2 hard negative
“Peec AI, Otterly AI, AthenaHQ: Frequent complaints on plan limits ... synthetic data flaws” Grok 4.1 Fast, negative prompt
Ahrefs Brand Radar21%
5 of 24 labels negative · 4 of 6 models
“their pricing model is aggressive... Only choose this if you are already a heavy Ahrefs user; otherwise, Scrunch offers a similar experience for less money.” Qwen 3.7 Flash, paraphrase prompt
Peec AI10%
3 of 31 labels negative · 3 of 6 models · 2 hard negative
“Peec AI, Otterly AI, AthenaHQ: Frequent complaints on plan limits ... Peec criticized for agencies/SMBs” Grok 4.1 Fast, negative prompt
03What they cite
Citations exist only for the models that return a source list: four of the six in this edition.
Sites the answers cite
23 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 236 links across 119 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.
vendor site · Semrush7 answers · 12 citations · 3 models
vendor site · Frase7 answers · 7 citations · 2 models
vendor site · SE Ranking7 answers · 7 citations · 2 models
vendor site · KIME6 answers · 6 citations · 2 models
vendor site · WP Engine6 answers · 6 citations · 2 models
vendor site · Amplitude5 answers · 6 citations · 2 models
5 answers · 5 citations · 2 models
5 answers · 5 citations · 2 models
vendor site · Wellows5 answers · 5 citations · 2 models
vendor site · Zapier5 answers · 5 citations · 2 models
4 answers · 5 citations · 2 models
4 answers · 5 citations · 2 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
6 answers · 2 models
6 answers · 2 models
6 answers · 2 models
5 answers · 2 models
5 answers · 2 models
5 answers · 2 models
5 answers · 2 models
4 answers · 2 models
3 answers · 2 models
3 answers · 1 model
04How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best AI visibility and answer engine tracking tool for a mid-market B2B company?”Paraphrase“Which tool for tracking brand visibility in AI answers would you recommend to a mid-sized B2B company?”Comparative“What are the top AI visibility and answer engine tracking tools and how do they differ?”Budget-constrained“What is the best AI visibility and answer engine tracking tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an AI visibility and answer engine tracking tool. What should we look at?”Negative“Which AI visibility and answer engine tracking tools should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
05The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Noise floor in this category
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
Category-scoped readings
Ahrefs read as Ahrefs Brand Radar
Semrush read as Semrush AI Visibility Toolkit
Unresolved, counted raw
1ClickVPN Proxy
AIVO Platform
Ahrefs AI Visibility Checker
Ahrefs/SEMrush add-ons
Astiva AI
Athena
Azoma
Bing Webmaster Tools AI Performance dashboard
BlueJar
Business.com
Chatbeat
Geneo
Genrank
GetCito
Google Search Console's generative report
HubSpot AEO / Grader
HubSpot AEO Grader / Tool
HubSpot AEO Tool
LLMRankings.io
Profound/Siftly
SE Ranking AI Visibility Tracker
Semrush AI Search Visibility Checker
Semrush Enterprise / Enterprise AIO
Semrush Free AI Visibility Checker
Semrush's free AI Search Visibility Checker
Semrush's native AI visibility add-ons
Semrush/Ahrefs add-ons
Siftly
Similarweb AI
Surfer AI Tracker
Temso
Tracemetry
Track My Visibility
Urban Ad Blocker
Urban Browser Guard
Urban VPN Proxy
Visby.AI
Visible
Wellows AI Overviews Tracker
Wellows ChatGPT Visibility Tracker
Wellows Perplexity Visibility Tracker
Yext Scout
ZipTie.ai
Discontinued, still offered
No shut-down product was recommended here.