AI Indexes
GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index › Marketing › September 2026 Edition

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. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
20%
Contested · Peec AI 16%
20Otterly16Peec AI15Profound49others

20% of first choices, contested.

Since September 2026▼−1Since September 2026: 20% → 19%, −1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.Otterly held the lead, −1 point on 20%, inside the 12-point floor.
ShowinginAll 112 categories in the September 2026 Edition →

The 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 rateLabelsQuadrantSince September 2026
01Otterly20%6%36accepted challenger▼−1Since September 2026: 20% → 19%, −1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.20% → 19%
02Peec AI16%8%40accepted challenger▲+4Since September 2026: 8% → 12%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.8% → 12%
03Profound15%29%42criticized challenger▲+5Since September 2026: 10% → 15%, +5 points. Inside the 12-point floor: within noise. Read over the models both editions asked.10% → 15%
04HubSpot AEO Grader9%0%27accepted challenger▲+4Since September 2026: 4% → 8%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 8%
05Semrush AI Visibility Toolkit5%18%38accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 6%
06Rankscale5%8%12accepted challenger▼−4Since September 2026: 10% → 6%, −4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.10% → 6%
07SE Ranking4%15%13accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.6% → 4%
08Scrunch2%18%11accepted challenger▼−6Since September 2026: 8% → 2%, −6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.8% → 2%
09Ahrefs Brand Radar2%32%22criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 2%

The floor is 12 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All fifteen head-to-head pages: the top six products, each against each

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
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Otterly20%
02Peec AI16%
03Profound15%
04HubSpot AEO Grader9%
05Semrush AI Visibility Toolkit5%
06Rankscale5%
07SE Ranking4%
08Scrunch2%
09Ahrefs Brand Radar2%

What 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.
Profound
29%
12 of 42 labels negative · 7 of 6 models · 3 hard negative
“**Tools to Approach with Extra Caution or Avoid (if possible):** - **Profound**: Privacy concerns” Grok 4.20, negative prompt
Ahrefs Brand Radar
32%
7 of 22 labels negative · 6 of 6 models · 2 hard negative
“rated this tool poorly (1.1/10), describing its methodology as "spurious."... Likely to waste time until the underlying data model is refined.” Qwen 3.7 Flash, negative prompt
Semrush AI Visibility Toolkit
18%
7 of 38 labels negative · 6 of 6 models
“Mid-market companies often struggle with "pay-per-keyword" pricing from massive enterprise suites (like Semrush/Ahrefs) which can get astronomically expensive” Qwen 3.7 Flash, scale prompt
Peec AI
8%
3 of 40 labels negative · 3 of 6 models
“**General Red Flags Across Many Tools (e.g., Otterly.ai, Peec AI, Scrunch, Geneo, Rankscale):**” Grok 4.20, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the six in this edition.

Sites the answers cite

79 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 1145 links across 313 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.

vendor site · HubSpot46 answers · 90 citations · 12 models
vendor site · Semrush21 answers · 39 citations · 9 models
vendor site · AirOps21 answers · 29 citations · 8 models
vendor site · Rankability17 answers · 20 citations · 9 models
vendor site · Cognizo16 answers · 26 citations · 9 models
16 answers · 18 citations · 9 models
16 answers · 16 citations · 9 models
vendor site · Integrate15 answers · 15 citations · 8 models
vendor site · Capterra14 answers · 15 citations · 10 models
vendor site · KIME14 answers · 14 citations · 9 models
vendor site · Wellows14 answers · 14 citations · 9 models
vendor site · Zapier14 answers · 14 citations · 6 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.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “ai visibility and answer engine tracking tool”, “best ai visibility and answer engine tracking tool”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Otterly otterly.ai20%10388051,61223
Peec AI peec.ai16%932,400121,16241
Profound tryprofound.com15%12690,5002,28442,887$318501
HubSpot parent site
HubSpot AEO Grader 9%
9%80368,0009,776
Semrush semrush.com
Semrush AI Visibility Toolkit 5%
5%10590,5002,0552,885,637 company$1,727103
Rankscale rankscale.ai5%3248018915
SE Ranking seranking.com
SE Ranking 4%, SE Visible 2%
5%978,100207309,691$2,632506
Brand24 brand24.com4%1782,9006128,16467
Scrunch scrunch.com2%428,1002,9572,89714
AirOps airops.com2%296,600312,668$1,55020

Google's top ten for the two searches hold 17 sites; 2 of them are among the sites the models cited here (tryprofound.com, zapier.com). The first result for “ai visibility and answer engine tracking tool” is tryprofound.com.

How 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.
ShowHide
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

The 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.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

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.

ShowHide

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Ahrefs read as Ahrefs Brand Radar
Ahrefs (Brand Radar) read as Ahrefs Brand Radar
Ahrefs (specifically Brand Radar) read as Ahrefs Brand Radar
Birdeye read as Birdeye AI Search
BrightEdge read as BrightEdge AI Catalyst
HubSpot read as HubSpot AEO Grader
HubSpot's AI Search Grader read as HubSpot AEO Grader
HubSpot’s AI Search Grader read as HubSpot AEO Grader
SEMrush read as Semrush AI Visibility Toolkit
Semrush read as Semrush AI Visibility Toolkit
Semrush (AEO Suite) read as Semrush AI Visibility Toolkit
Semrush (AI Visibility Toolkit) read as Semrush AI Visibility Toolkit
Semrush's AI Visibility Toolkit read as Semrush AI Visibility Toolkit
Similarweb read as Similarweb AI Search Intelligence
Writesonic read as Writesonic GEO
Unresolved, counted raw
AIclicks.io
AllAboutAI
AmIVisibleOnAI
Amplitude AI tracking integrations
Bear AI
CapstonAI
Chosenly
GA4 Referral Filters
HubSpot AI Visibility
LLMclicks
LPagery
Meltwater GenAI Lens
Mentions.so
Orchly AI
ProRankTrackr
Semrush's free checker
Slate HQ
TMX Visibility
Wellows ChatGPT Visibility Tracker
ZipTie AI
Discontinued, still offered
No shut-down product was recommended here.
← AI marketing agentsApp store optimization →