TL;DR — Executive Summary
Both track AI citations. Only one fixes them.
GEOnhance is a technical generative engine optimization platform. It crawls your site, runs a deep GEO audit across schema, SSR rendering, LLMs.txt, entity density, and EEAT signals, then polls 7 LLMs live to measure your actual AI citation rate. Critically, it outputs a developer-ready roadmap — specific code-level fixes like "your SSR is blocking PerplexityBot" or "the author Schema field is missing from 12 pages." Peec AI cannot do this.
It's the engineering layer of answer engine optimization — for SEO managers and developers who need to act, not report.
Peec AI is an AI search brand monitoring tool. It scrapes real AI chat interfaces (ChatGPT, Perplexity, Claude) to track how often your brand is mentioned, how competitors rank, and how AI models describe your brand's sentiment. It surfaces content gap insights and recommends strategic marketing actions. GEOnhance's Optimize page covers the same ground with per-model playbooks.
It's the scoreboard for your AI search visibility — excellent for CMOs who need a snapshot of share of voice in AI answers, but it has no technical audit capability and cannot direct engineers to fix root causes.
GEOnhance
Technical GEO Optimization Engine
Audits your site's full technical and semantic stack for AI-readiness, runs live LLM polls, measures share of voice, and generates a developer-ready fix list. The engineering layer of GEO — built for teams that need to act, not just report.
Peec AI
AI Search Brand Monitor
Scrapes real AI chat interfaces to track brand mention frequency, competitor share of voice, sentiment, and citation sources. Surfaces content gap opportunities and suggests strategic marketing actions. Starting at €89/month.
Feature Comparison
Side by Side.
No spin. Every row is based on publicly documented capabilities.
Inside-out GEO optimization (fix why you're not cited)
GEOnhance audits your site's technical and semantic infrastructure to close AI citation gaps.
Outside-in AI brand monitoring (track mentions & SOV)
Peec AI scrapes real AI chat interfaces to track how your brand appears in generative responses.
Share of voice across LLM models
Both measure SOV — GEOnhance via live LLM polling, Peec AI via UI scraping of actual AI responses.
Brand sentiment tracking (positive / neutral / negative)
Peec AI closely monitors how AI models describe your brand's tone and sentiment.
Deep schema validation & structured data audit
Only GEOnhance can identify that you're not cited because the `author` Schema field is missing.
SSR/CSR rendering gap analysis for AI bots
GEOnhance detects when JavaScript rendering prevents AI crawlers like PerplexityBot from indexing your content.
LLMs.txt maturity scoring & generation
Entity density & semantic DNA analysis
GEOnhance measures Information Gain and Entity Density — the signals LLMs use to rank sources.
Content health: readability & freshness scoring
EEAT & author trust signal audit
GEOnhance checks for author entity markup, citations, and trust signals that LLMs use for grounding.
Live LLM polling (navigational, category, transactional queries)
GEOnhance uses a 4/3/3 intent-testing framework across 7 models to measure real citation visibility.
UI scraping of real AI chat interfaces
Peec AI scrapes ChatGPT, Perplexity, and Claude UIs directly to capture exactly what users see.
Multi-model coverage (ChatGPT, Perplexity, Claude, Gemini)
Server-side AI bot crawl detection (Bot Pulse)
GEOnhance tracks actual AI agents (GPTBot, PerplexityBot…) visiting your site in real time.
Citation confidence scoring (Text Fragment detection)
Competitor benchmarking in AI answers
Developer-ready technical task list (code-level fixes)
GEOnhance outputs tasks like "Fix SSR gap blocking PerplexityBot" or "Add missing FAQ Schema".
AEO actions: strategic marketing recommendations
GEOnhance's Optimize page provides per-model strategic playbooks (lists, awards, reviews, community signals). Peec surfaces source-specific gaps like 'Get featured in this source' based on live AI scraping.
Content gap analysis
Peec AI identifies sources competitors use for visibility. GEOnhance focuses on structural and semantic gaps.
Impact-scored optimization prioritization
Cookie-free, GDPR compliant by default
Daily tracking updates
Peec AI sends daily monitoring updates. GEOnhance runs on-demand analysis jobs.
The Core Difference
The scoreboard
vs. the playbook.
Peec AI shows you the score
Daily monitoring of brand mentions, sentiment, and share of voice across ChatGPT, Perplexity, and Claude. You know how you rank — but not why.
Peec AI does thisGEOnhance finds out why
A live technical crawl reveals the exact reason AI models skip your content: missing author Schema, JavaScript blocking PerplexityBot, low entity density on key pages, or a broken LLMs.txt.
GEOnhance does thisAnd hands engineers the playbook
GEOnhance outputs a developer-ready task list ranked by impact. Not "improve readability" — but the exact fields, pages, and code changes to make. Peec AI has no equivalent.
GEOnhance does thisVerdict
Which one is right for you?
Choose GEOnhance if…
- You want to know exactly why AI models skip your content — not just that they do
- You need a technical GEO audit: schema, SSR rendering, LLMs.txt, entity density, EEAT signals
- You're an SEO manager or developer who acts on code-level recommendations
- You want Bot Pulse to confirm AI crawlers are actually indexing your site
- Your goal is to increase AI citation rate across ChatGPT, Perplexity, Gemini, and Claude
Choose Peec AI if…
- You need a brand monitoring dashboard showing your AI mention frequency and sentiment
- Tracking how you rank vs. competitors in real AI chat responses is your main need
- You want daily automated monitoring with minimal setup
- Your team acts on content strategy (topic targeting, source building) rather than code
- Budget is a constraint — Peec AI starts at €89/month