Targetlytics.AI
Platform Overview

Every Tool You Need to Win in AI Search

Targetlytics gives you complete visibility into how AI models perceive, cite, and recommend your brand — and the tools to improve every signal that matters.

50%+
of B2B buyers now use AI for vendor research
8
AI platforms monitored continuously
3x
faster time-to-citation vs. manual optimization
100%
of pipeline touchpoints attributed
10 Powerful Features

Complete AI Visibility & Optimization Platform

From tracking how often AI recommends you, to building the content that earns those recommendations — everything you need is here.

Core Feature

AI Visibility Tracking

Track your Share of Model across ChatGPT, Claude, Gemini, Meta, Grok and Perplexity. Know exactly when, how, and how often AI recommends your brand vs. competitors.

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Core Feature

Citation Tracking

See which sources AI models use to form opinions about your brand. Identify the top-cited pages, forums, and publications that shape your AI reputation.

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Core Feature

Competitor Intelligence

Understand exactly why AI recommends competitors instead of you. Reverse-engineer their citation sources and content gaps to close the gap fast.

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Unique to Targetlytics

LLM Query Reverse Engineering

Discover the hidden internal queries AI models run when a buyer asks about your category. Optimize for the exact questions AI is asking about your brand.

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Unique to Targetlytics

AI Readiness Optimization

One line of JavaScript. Targetlytics auto-deploys LLMs.txt, AI-optimized meta tags, and structured data so every page is perfectly readable by AI crawlers.

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Strategy Module

Prompt Intelligence

Map AI prompts to buyer personas, decision stages, and follow-up question threads. Focus your optimization work on the conversations that actually move deals.

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Content Module

AI Content Creation

Write content that AI actually cites. Targetlytics identifies the exact topics, formats, and evidence types that earn citations in AI-generated responses.

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Reputation Module

Off-Page Reputation Management

Control what AI reads about your brand on Reddit, G2, forums, and news sites. Monitor third-party signals that shape your AI reputation before they harm it.

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Attribution Module

AI Revenue Attribution

Prove that AI visibility drives revenue. Connect AI mentions to pipeline, conversions, and closed deals with attribution your CFO will actually believe.

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New · Activation Module

Signal to Ads

Turn a detected citation gap or competitor win into a proposed OpenAI Ads campaign, then track performance alongside the visibility signal that started it.

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New

Prompt Intelligence

Map prompts to real buyer personas, decision stages, and follow-up question threads so your team focuses on the AI conversations that actually influence pipeline. Synced from your CRM: personas come from the deals you actually closed, and your brand profile and prompt set update with them.

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New

Social AI Visibility

See which social channel is teaching AI about you, and which conversations competitors own.

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New

Brand Risk Red Team

Adversarial testing of how AI answers the questions buyers ask behind your back.

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New

Hallucination Detection

Catch the claims AI makes about you that contradict your own declared facts.

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New

Recommendation Engine

One ranked queue of what to do next, with the evidence behind each card, the module that executes it, and a re-measurement after it ships.

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New

Page Optimizer

Every page scored for search and for AI answers, from your own Search Console data.

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New

Brand MCP Server

Publish your brand knowledge as tools an AI agent can call, not just text it must parse.

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New

Signal to Ads

Turn a detected visibility gap into a live paid campaign. Connect OpenAI Ads and close the loop from insight to spend.

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New

Citation Outreach

The third-party pages cited in AI answers about your category, ranked by leverage — with approved outreach to earn the mention and a re-run that proves the lift.

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New

Answer Consistency

Run a prompt many times and report the spread, so your visibility number survives scrutiny.

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New

Revenue at Risk

Put a number on the deals AI is sending to your competitor, priced through your own funnel.

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New

Visitor Identification

Resolve AI-sourced sessions to real companies, score intent from what they did on your site, and match the visitor against the personas that actually close in your CRM.

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New

AI-Sourced Lead Sync

Identified accounts written to HubSpot, Pipedrive, Attio or Zoho in real time, deduplicated against what's already there, tagged with the prompt and citation that produced them.

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How It All Connects

One Platform. Complete AI Search Intelligence.

Traditional SEO tools were built for Google's 10 blue links. Targetlytics was built for the world where AI gives one answer — and you need to be in it.

1

Diagnose

Understand exactly how AI models perceive your brand today — which sources they cite, which queries trigger competitors, and where your visibility gaps are.

2

Optimize

Fix every signal that matters. From on-page AI readiness to off-page reputation management, Targetlytics tells you what to change and why.

3

Prove

Connect AI visibility to business outcomes. Attribution dashboards show exactly how AI citations drive traffic, leads, and revenue.

Frequently Asked Questions

Targetlytics is an AI Visibility Platform built for B2B brands that want to appear in AI-generated answers. It tracks how often AI models like ChatGPT, Claude, Gemini, and Perplexity mention your brand, identifies the sources AI uses to judge you, and provides the tools to improve every signal — from content and technical readiness to off-page reputation.

Targetlytics monitors ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, and other leading LLM-powered search platforms. We track brand mentions, citations, and recommendation patterns across all major AI surfaces where your buyers are searching.

Traditional SEO tools are built for Google's keyword-based ranking system. Targetlytics is built for AI search, where models select sources based on authority signals, citation patterns, and semantic content quality — not just backlinks and keyword density. Targetlytics measures Share of Model, not Share of Voice.

Share of Model is the percentage of AI-generated responses in your category that include a positive mention or recommendation of your brand, compared to competitors. It's the AI-era equivalent of Share of Voice — and the core metric Targetlytics tracks across every AI platform.

When a buyer asks an AI model for a vendor recommendation, the model internally runs dozens of sub-queries to gather evidence. LLM Query Reverse Engineering reveals these hidden queries so you can optimize your content for the actual questions AI is asking about your category — not just the questions humans are typing.

Most customers see measurable Share of Model improvements within 4–8 weeks of implementing Targetlytics recommendations. AI Readiness Optimization (the LLMs.txt deployment) takes effect immediately upon installation. Citation improvements from content changes typically appear within 2–4 weeks as AI models re-crawl and re-index sources.

No. The AI Readiness Optimization feature deploys via a single JavaScript snippet — similar to Google Analytics. All other features are dashboard-based, with plain-language recommendations written for marketing and growth teams. No coding required for day-to-day use.

Targetlytics is built for B2B SaaS companies, technology vendors, professional services firms, and e-commerce brands with complex buying journeys. If your customers use AI to research vendors or products — and 50%+ now do — Targetlytics is designed for you. We work best with companies that have an existing web presence and want to extend it into AI search.

Ready to Own Your AI Search Presence?

Get a free AI visibility audit and see exactly where your brand stands across every major AI platform.