Resources · Measuring AI Visibility

HubSpot AI Search Grader Alternatives: How Do AI Visibility Measurement Tools Compare?

HubSpot's free AI Search Grader asks three models how they describe your brand from what they learned in training, and scores the result out of 100 across sentiment, presence, recognition, share of voice and market position. It is a useful first impression, but it does not show what live, search-backed answers say when buyers ask what to buy. Alternatives measure different things: Amplitude's free report and Ahrefs' free checker look at live answers; HubSpot's own paid AEO tool tracks 25 prompts daily; Otterly and Peec AI track your prompts on a schedule; and Kovmere, which is our product, reads your buyer questions in full on five engines and drafts fixes. Which you need depends on which question you are trying to answer.

What does the HubSpot grader actually measure?

You enter your brand name, location, industry and product, and the grader asks GPT-5.4 mini, Perplexity and Gemini how they characterise your brand. It weighs the answers into a score: sentiment carries up to 40 points, presence quality and brand recognition 20 each, and share of voice and market competition 10 each. The full report sits behind a form.

Two things follow. First, it measures reputation in the models' memory, which changes slowly and may lag your latest products. Second, its questions are about your brand by name, not the unbranded questions buyers ask before they know you.

How do measurement methods differ?

Method What it tells you Tools
Training-data perception How models describe your brand from what they learned HubSpot AI Search Grader
Live answers to sample prompts Whether search-backed answers mention you today Amplitude AI Visibility, Ahrefs AI Visibility Checker
Scheduled prompt tracking How visibility on your prompts changes over time HubSpot AEO, Otterly, Peec AI
In-depth reading of buyer questions Who is named instead, which pages are cited, what to fix Kovmere

How do the alternatives compare?

Tool Cost Engines Method What you can act on
HubSpot AI Search Grader Free GPT-5.4 mini, Perplexity, Gemini Training-data perception, score General impression
Amplitude AI Visibility Free, no signup for the limited report ChatGPT, Google AI Overviews Live answers to generated prompts Competitors and sources
Ahrefs AI Visibility Checker Free preview ChatGPT, Gemini, Perplexity, Copilot, Google AI Prompt index Broad picture
HubSpot AEO $50 a month ($45 annually) ChatGPT, Gemini, Perplexity 25 prompts daily, citation analysis Trends and citations
Otterly AI From $29 a month ChatGPT, AI Overviews, Perplexity, Copilot; add-ons Daily prompt tracking Sources, page audits
Peec AI From $95 a month Three chosen from six Daily prompt tracking Source gaps, ranked actions
Kovmere (ours) $19 one-time Check; Pro $49 a month OpenAI, Perplexity, Gemini, Claude, Google AI Overviews Up to 18 buyer questions and 2 brand checks, three runs each, full answers Drafted fixes tied to lost questions

Which alternative should you use after the grader?

To see live answers at no cost: Amplitude's free report for ChatGPT and AI Overviews, and Ahrefs' free checker for a broader preview.

To keep tracking inside the HubSpot ecosystem: HubSpot AEO at $50 a month, with daily prompts and citation analysis, and blog generation and CRM-based prompt suggestions if you have Marketing Hub.

To track trends cheaply: Otterly.

To report clean metrics to a team: Peec AI.

To read what the engines tell buyers on your key questions and what to change: Kovmere. It asks up to 20 buyer questions for one market, mostly unbranded with up to two head-to-head comparisons kept apart, three times on each engine, lets you read the answers and the pages they cite, counts recommendations separately from mentions, and drafts up to three fixes on a Check or up to 12 per billing period on Pro, from facts on your own site.

Why can the grader and other tools disagree?

A brand can score well on the grader and still be missing from live buying answers, or the reverse. The grader asks about your brand by name, from training data; live tools ask about your category, with search switched on, and cite current pages. A new brand may score poorly in training-data perception but appear in live answers that find its recent pages. An established brand may score well on reputation but lose buying questions to rivals with clearer comparison pages. Neither number is wrong; they answer different questions.

How should you combine measurement tools?

  1. Run the grader for a free view of how models describe you by name.
  2. Run a live check with Amplitude or Ahrefs to see if search-backed answers mention you.
  3. Write ten to twenty unbranded buyer questions and check them on several engines, by hand or with a tool, repeated more than once.
  4. List competitors and cited sites that keep appearing.
  5. Choose ongoing tracking only if you will act on it each month.

What might the difference look like?

Take an illustrative regional insurance broker. The grader scores it well: models describe it accurately and positively when asked by name. A live reading of unbranded questions, such as "independent insurance broker for small restaurants in Ohio", tells another story: three of five engines name national comparison sites and two competitors, citing their industry-specific pages, and the broker appears in one answer. The grader confirmed the reputation; the live reading found the gap. The fix is pages that speak to restaurant owners directly, not more brand awareness.

What should a good measurement tool let you check?

Whatever you choose after the grader, it should let you answer these questions without guessing:

  • Which questions were asked, word for word, and whether any named your brand.
  • Which engines answered, and whether they searched the web or answered from memory.
  • How many times each question ran, so you know whether a result is typical.
  • What each answer said, in full, including who was recommended.
  • Which pages were cited, and whether those pages mention you.
  • What to do next, tied to a specific question you lost.

A tool that hides any of these leaves you trusting a number you cannot explain to a colleague or a client, which is a weak basis for changing pages or spending budget.

What are Kovmere's limits as an alternative?

Kovmere is not free, is not built around a single score, measures one market per site with no more than 20 questions, samples engine APIs rather than consumer apps, and does not cover AI Mode or Copilot. No tool can guarantee citations or recommendations.

For more on the grader and HubSpot's paid tool, see our HubSpot AEO grader review and HubSpot AEO pricing.

What do people ask about HubSpot grader alternatives?

Is the HubSpot AI Search Grader accurate?

It accurately reports how three models describe your brand from training data. It does not measure live answers to unbranded buying questions.

What is the best free alternative?

Amplitude's free report for live ChatGPT and AI Overviews answers, with competitors and sources.

Does HubSpot have a paid AI visibility tool?

Yes. HubSpot AEO costs $50 a month and tracks 25 prompts daily on ChatGPT, Gemini and Perplexity.

Should I trust a single AI visibility score?

Use it as a starting point. Read the answers behind it, and check which questions produced it, before deciding what to change.

Published by The Kovmere Team · updated Oct 3, 2026 · More resources