LLM Visibility Tracking Software
LLM visibility tracking software BlazeHive asks ChatGPT, Claude and Gemini the same 15 questions and scores each model on its own. The models learned from different data and can name different brands for the same question, so one combined number can hide where you are missing. The free report gives a score per model, a grid of every question by model, and the competitors each model names.
How LLM visibility is measured across 3 models
The same questions and the same number of answers, scored model by model.
Every question checked in ChatGPT, Claude and Gemini
The report runs 45 checks: 15 questions in each of 3 models. Each check combines two answers, so one unusual reply does not decide it. A cell reads 0 when you are absent, 1 when named, 2 when linked, and 3 when linked and named at the top.
- 15 questions by 3 models
- 2 answers combined per check
- Provider failures left out of the score
Questions where all three models leave you out
When no model names you in any of its answers to a buying question, that question becomes a gap. Gaps go on the content calendar with a page format picked for each.
- Gaps from all three models
- A page format for each gap
- Reorder or veto any page
Pages that answer the question in one place
Each page is researched against the pages that rank for the topic. It gives a direct answer near the top, then the tables, visuals, FAQ and schema that back it up.
- Researched on live competitor pages
- Direct answer near the top
- Humanized before publishing
Published to WordPress, Lovable, Replit or any site
Connect your site once. Each finished page goes live on schedule or arrives as a draft, and Search Console reports the clicks it brings in.
- WordPress plugin, Lovable and Replit
- Any other site through a webhook
- Clicks and positions from Search Console
Watch the gaps from all three models become pages
We Are Growing on Autopilot Too
Every number is pulled straight from the Google Search Console API - the same index AI answers are built on. Dated, reproducible, and verified live on a call if you want to drive.
1,500 page-one rankings. 500+ in Google’s top 3.
Our own domain, run by our own engine. 2.77 million impressions in 5 months, 150+ keywords holding #1 at a perfect 1.0, average position up 50 spots - every number from Google Search Console.
- Impressions
- 2.77M
- Top-3 keywords
- 500+
- Ranked #1
- 150+
Why LLM visibility differs by model:
Pages for Questions No Model Answers With You
A gap is a buying question where none of the three models named you in either answer. BlazeHive writes a page for each gap as a listicle, comparison, alternatives page, landing page or calculator, and publishes one a day.
A Separate Score for Each Model
ChatGPT, Claude and Gemini each get their own 0 to 100 score, split into buying and brand questions, next to the number of answers that named you. When one model names you and another does not, the per-model scores make it plain.
Outreach Around the Competitors Each Model Names
The report lists up to 7 competitors with their mentions and citations. BlazeHive outreach finds ranking articles that mention those competitors and pitches your brand to the site owners. Inboxes are included.
Links From Sites in Your Market
The outreach earns real links from sites that write about what you sell, so the pages BlazeHive publishes can climb in Google. No link farms and no private blog networks.
Gap pages, checked for AI slop
The pages BlazeHive writes for your gaps are checked against a library of AI writing patterns before they publish. Filler phrases and repetitive rhythm are rewritten, and the tone follows your own site.
BlazeHive publishes pages written for the people who ask these questions.
A pattern library that grows every day
Each page screened before publishing
Your own voice, taken from your site
Runs itself. Obeys you.
Let BlazeHive work through the gaps, or point it at the ones you care about. Tell your agent which questions to answer first, in plain words. It updates the plan and keeps publishing.
Publishes the pages into
the site you already run.
AT ABSOLUTELY NO EXTRA COST
See how each model answers for your market, then publish pages for the gaps.
Questions about visibility in LLMs
Why does my brand show up in one model and not another?
The models were trained on different data with different cut-off dates. With web search off, each answers from what it learned. A brand that is well covered in the sources one model learned from can be thin in another.
Why is each question asked twice?
Models do not give the same answer every time. Two answers per question and model make each check depend less on a single reply, and the report combines them into one cell.
Which models are checked?
ChatGPT (an OpenAI model), Claude and Gemini, through their APIs. Web search is turned off, so the answers show what each model says by default from its training. Perplexity and Google AI Overviews are not checked.
Does it keep checking my visibility?
No. The report is a point-in-time check. Scheduled re-checks, history charts and alerts are not available yet. You can run the report again later and compare the two results yourself. A report is cached for 2 days per domain, so a new run after that asks the models again.
What counts as a good score?
The report puts you in a band: Invisible (0 to 14%), Present (15 to 34%), Contender (35 to 54%) or Dominant (55% and up). The per-model scores show which model pulls your total down.
Does the model-by-model report cost anything?
Yes. Enter your domain, then your name and email, in the report form on the BlazeHive agency page, and the report is emailed to you. No account is needed. The paid plans cover the work after the report: Rank €99/mo for the pages, Authority €99/mo for backlink outreach with inboxes included, or Full Suite €179/mo. Each has a 3-day free trial.
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