Prove and grow your AI visibility without an enterprise budget
Buyers ask ChatGPT and Gemini which vendors to shortlist, and the answers already name someone. LLM Pulse shows where you stand, gives your whole team the data, and helps you win the prompts that matter.
The weekly rhythm that protects your share of the shortlist
Built for lean teams: catch share drops mid-quarter, keep the CMO's numbers honest, and point your content people at the fixes that feed pipeline.
Share of Voice
Catch a share drop while the quarter can absorb it
When a bigger competitor starts taking your slice of the shortlist answers, the weekly run shows it weeks before it turns up as soft pipeline. The view names who took the share and which cited domains carry their story. That leaves half a quarter to respond.
- Weekly runs flag drops with time to react
- See which competitor took the share
- Cited domains show where to push back
Leadership Reporting
One number the CMO and the team both trust
On a lean team, report week can swallow days of exports and formatting. Wire visibility metrics into Looker Studio once and the monthly deck fills itself from the same live data your team works in, so the leadership meeting spends its hour deciding what to do next quarter.
- Deck numbers always match the app
- Report week shrinks to a link
- CSV and Excel when slides still win
Prioritized Action
A ranked backlog your content team can run with
Lean teams rarely have an analyst to translate tracking data into work. Recommendations arrive ranked by expected visibility impact, each one tied to the shortlist prompts a competitor currently wins. Monday's standup starts with the top card already scoped.
- Ranked by expected visibility impact
- Each card names the prompts at stake
- Scoped for a team without analysts
Why Mid-Market Teams Choose LLM Pulse
Prove where your brand stands in AI answers and grow it without an enterprise budget.
Know Where You Stand
See which competitors AI models recommend for your category prompts and where you rank against them.
Over 1,000 Evaluations a Month
Prompts run weekly across 5 AI models, so a 50-prompt set produces more than 1,000 AI answers to measure every month.
Reports Your CMO Will Read
Push visibility data to Looker Studio or Power BI, or export CSV and Excel for the monthly deck.
Unlimited Seats on Every Plan
Invite the whole marketing team and set member permissions so everyone sees exactly what they need.
GEO Writer Closes the Gaps
Turn tracking data into drafts and page updates aimed at the prompts where competitors outrank you.
A Plan That Grows With You
Start self-serve, then raise prompt volume as AI search becomes a bigger share of your pipeline.
Prove It, Then Grow It
From first baseline to a monthly reporting rhythm in four steps.
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1
Get your baseline
Add your brand, competitors, and prompts. AI suggestions help you cover the queries buyers actually ask.
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2
Track weekly
5 AI models answer your prompts every week while LLM Pulse scores mentions, positions, sentiment, and citations.
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3
Report up
Wire dashboards into Looker Studio or Power BI and export the numbers leadership asks for.
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4
Close the gaps
Use GEO Writer and content recommendations to go after the prompts where competitors win.
Mid-Market Use Cases
How mid-market marketing teams use LLM Pulse week to week.
Win the Shortlist Prompts
Find the comparison prompts where competitors appear and you do not, then target them one by one.
Defend Share of Voice
Track share of voice against your top competitors and catch drops before the quarter ends.
Make the Case for Budget
Show leadership concrete visibility growth after each content push.
Turn Findings Into Content
Brief writers from GEO Writer output instead of guessing what AI models want.
"LLM Pulse is a pioneering response to the need to measure performance across different LLMs. At TecnoCampus we need maximum transparency, the ability to parameterize results and to carry out visibility audits for our brand, now also in the increasingly established field of AI. LLM Pulse gives us all of that in a single place."
Frequently Asked Questions
Practical questions mid-market teams ask before they buy.
Explore the features behind this solution
Go deeper on AI search
AI search data studies
Original research on how AI models cite sources and pick winners across industries.
Read moreModels comparison
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