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AI visibility platform for agencies and marketing teamsGet recommendedby AI engines.

AI names your competitors and skips you.
Enter your site to see how ready it is for AI answers, and what to fix first.

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Checked acrossChatGPT iconChatGPTPerplexity iconPerplexityGemini iconGeminiGoogle AI Overviews iconAI OverviewsGoogle AI Mode iconAI Mode
Questions buyers ask AI
“best project management tool for remote teams”“what CRM integrates with Notion”“top alternatives to Zendesk for SMBs”“which AI writing tool has the best API”“recommend a headless CMS for Next.js”“cheapest observability platform for startups”“compare Linear vs. Jira for engineering teams”“which analytics tool has product attribution”
01 — The shift

AI search doesn't rank ten links.It picks one answer.

When a buyer asks ChatGPT or Google AI for a recommendation, they get one answer with a few brands in it. AI search optimization is how yours gets in.

02 — How it works

Audit. Generate. Validate. AI search optimization, end to end.

Find the gaps. Ship the fixes. Prove what worked.

01
Site readiness74 / 100
On-site gaps12 pages
Off-site sources8 to win
Competitorsahead in 6 of 10
12 fixes ready

Audit: See where you stand, and why.

Your site’s AI readiness, the pages to write or fix, the off-site sources AI trusts, and who wins the prompts you don’t.

02
On-sitedraft: /compare/rivalllms.txt: generatedschema: Product · FAQ
Off-site playbook
Redditanswer the thread
G2claim the listing
Industry presspitch the story

Generate: The fixes, written for you.

On-site: pages, llms.txt and schema drafted to win the prompts that matter in your category. Off-site: a playbook for every channel AI cites.

03
Share of voice18%31%
Cited on24 of 5 surfaces
Verdict: likely lift · evidence B

Validate: Know which changes worked, with evidence.

Weekly checks across five AI surfaces. Every change gets a verdict: it worked, it did not, or it is too early to tell.

No placement promises. Measured impact.

Every verdict ships as a probability with a range and an evidence grade — never a bare green arrow. Read the methodology

03 — Accuracy

Catch it when AI gets your facts wrong.

When an answer gets your brand wrong, you get the evidence and a correction playbook — not just an alert.

Caught · 2h ago on ChatGPT
AI claimed

“Their plan starts at $49 per month.”

Your fact

Plan starts at $29 per month.

Correction playbook generated
04 — Your agent
Model Context Protocol

Bring your agent. No new dashboard to learn.

Connect Claude, ChatGPT, Cursor or Codex to your workspace. Ask what you are cited for, add prompts, log the page you shipped, read the verdict. Same data, same quotas, included in every plan.

OAuth sign-inRevoke any timeIncluded in every plan

Claude · connected to Prominara
Did the page I shipped three weeks ago move anything yet?
prominara_measurement
Likely lift. 68% probability, range 41 to 85, evidence grade B. The comparison page is now cited on ChatGPT and Perplexity for 3 of the 5 prompts it targets.
05 — Questions

AI visibility questions, answered before you sign up.

Not what you're looking for? Our docs go deeper, or you can just start a scan and see the answers yourself.

01

What does an AI visibility tool do?

An AI visibility tool checks how AI assistants like ChatGPT, Perplexity and Google AI Overviews answer the questions your buyers ask, and records whether your brand is mentioned, cited as a source, or missing while competitors appear. Prominara is an AI visibility platform: it finds the answers where competitors appear and you don't, drafts the fixes that target those gaps, and measures whether each change moved your citation rate.

02

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization, or GEO, is defined as the practice of optimizing website content so that AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews recommend and cite your brand. GEO combines structured data, definition-rich writing, authoritative citations, and technical markup to increase visibility in AI-generated responses.

03

How does AI visibility differ from traditional SEO?

AI visibility refers to how frequently and prominently your brand appears in answers generated by large language models, as opposed to traditional search engine result pages. Traditional SEO focuses on ranking blue links on Google. AI visibility focuses on being cited, recommended, or mentioned inside the AI-generated answer itself — a fundamentally different discovery model.

04

Which AI platforms does Prominara support?

Prominara validates your citations and tracks your share of voice across ChatGPT (by OpenAI), Perplexity, Google AI (Gemini), Google AI Overviews, and Google AI Mode. Together these platforms represent the majority of AI-generated search traffic today. The audit engine analyzes your content against the ranking signals each platform uses to decide which sources to cite.

05

What is an llms.txt file and why does it matter?

An llms.txt file is a machine-readable document placed at the root of your website that helps large language models understand your site structure, key content, and brand context. It is similar to robots.txt but designed specifically for AI crawlers. Prominara generates these files automatically based on your site content.

06

How is the AI visibility score calculated?

The AI visibility score is calculated by running over 40 page- and site-level checks across four categories: content structure (30% weight), entity and topic coverage (25%), authority signals (15%), and technical readiness (30%). Each check is scored individually, then weighted and combined into an overall score from 0 to 100. Learn more on our features page.

07

What is citation tracking in AI search?

Citation tracking refers to the process of monitoring when and where AI search engines mention or link to your content in their generated responses. Prominara queries each platform with your tracked prompts, then detects whether your domain appears in the response as a citation, recommendation, or direct link.

08

How quickly will I see results?

We don't promise a timeline, because nobody controls what a generative engine answers — responses are probabilistic and shift with the model, the phrasing, and the moment. What we do commit to is measurement: we re-run the same prompts on a fixed schedule, so you can see whether a change moved your citations, stayed flat, or simply coincided with a platform-wide shift. Expect to need several measurement cycles before a trend is real rather than noise.

Start here

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