Peec AI approaches GEO like a research problem—mapping prompts, tracking competitive shifts, and revealing how models think about your category.

Otterly AI takes a very different route. It focuses on real-time monitoring, brand accuracy, and sentiment signals, helping teams stay aware of how often—and how correctly—models mention them.

Both have strengths, but they pull you in opposite directions: depth versus simplicity, exploration versus monitoring, strategy versus speed.

In the next section, we’ll break down their features side by side so you can quickly see which one aligns with the outcomes you care about most.

And we’ll introduce a third option—Analyze—built to give you both depth and clarity without forcing that trade-off.

Peec AI vs Otterly AI: feature-by-feature comparison

Both Peec AI and Otterly AI aim to help teams understand how their brand appears across AI search engines—but they solve different pains. 

One leans into research and strategic insight; the other into monitoring and brand safety. In this section, you’ll get a quick TL;DR table and then a set of deeper, BOFU-ready breakdowns across the features that matter most.

TL;DR feature comparison table

Feature-by-feature deep dives

Prompt visibility & tracking

Teams need clear visibility into how AI engines reference their brand across prompts, variations, and regions. This feature matters because AI answers aren’t static—they shift with time, models, and query structure.

Peec AI:
Peec AI delivers deeper visibility across ChatGPT, Perplexity, and AI Overviews, showing how prompts evolve, where brands appear, and what influences visibility. Its strength is granularity, but it requires more interpretation, making it feel more like an analysis workflow than a simple monitoring tool.

Otterly AI:
Otterly provides straightforward prompt monitoring and alerts when visibility changes. It’s less detailed than Peec AI but much faster to act on. The trade-off is simplicity: teams get clear signals, but not the underlying “why.”

Prompt suggestion & discovery

Discovery workflows matter because teams don’t always know which prompts shape their visibility or buying journeys. Tools that surface these automatically give marketers an advantage.

Peec AI:
This is one of Peec AI’s strongest edges. It recommends new prompts, uncovers long-tail opportunities, and helps teams understand how people phrase queries inside LLMs. The downside is that these insights require strategic usage—they’re powerful but not plug-and-play.

Otterly AI:
 Otterly does not offer prompt discovery. Teams must bring their own list of prompts, meaning the tool monitors visibility but doesn’t expand it.

Citation & hallucination analysis

As AI engines increasingly rewrite or distort information, knowing whether your brand is cited correctly—or incorrectly—is mission critical.

Peec AI:
Peec AI shows source patterns and some citation presence but does not specialize in hallucination detection. It captures trends but doesn’t flag incorrect statements proactively.

Otterly AI:
Otterly excels here. It detects hallucinations, tracks missing or wrong citations, and monitors when AI answers misrepresent your brand. It’s built for brand safety, making the analysis simple and actionable.

Competitive benchmarking

Marketers need to understand how they stack up against competitors across prompts—who gets cited, who disappears, and why. Without this, visibility data is incomplete.

Peec AI:
Competitive benchmarking is one of Peec AI’s core strengths. It tracks share of voice, competitor movement, and prompt-by-prompt comparisons. It feels like an intelligence layer rather than a monitoring feature.

Otterly AI:
 Otterly includes some comparative signals but does not provide robust share-of-voice views or strategic mapping. It’s more about your brand than the competitive landscape.

AI traffic analytics

Teams often want to understand how AI visibility might influence organic or referral traffic, or at least get directional indicators tied to performance.

Peec AI:
Peec AI is insight-led rather than traffic-led. Its analytics help contextualize visibility and prompt trends but do not estimate traffic or create traffic-based forecasts. Still, teams get strong directional intelligence.

Otterly AI:
Otterly does not offer AI traffic analytics. It keeps the focus strictly on monitoring and citations.

Winner: Peec AI
Even though it's not traffic-first, it provides more analytical context than Otterly.

Usability & time to value

The best tool is the one your team can use quickly—because AI search changes fast, and teams need answers, not onboarding friction.

Peec AI:
Peec AI offers powerful dashboards but requires more setup, configuration, and interpretation. Teams get depth, but the learning curve is noticeable. It fits organizations that want analytical workflows, not instant monitoring.

Otterly AI:
 Otterly is extremely fast to adopt. Add your brand, choose prompts, and tracking begins. The workflow feels simple enough for solo marketers or small teams who don’t want complexity.

Pricing

Budgets matter—especially when prompt volumes scale and visibility tracking becomes a daily workflow.

Peec AI:
Pricing starts higher and becomes more expensive as usage increases. It’s designed for teams valuing depth and strategy over low-cost monitoring.

Otterly AI:
Otterly is more affordable at entry but can escalate depending on prompt usage. Still, its baseline accessibility makes it easier for startups and small teams to adopt.

If you're a modern growth team or an SMB, there's a third—and better—alternative

Peec AI gives teams deeper research, prompt discovery, and competitive insight, while Otterly focuses on brand monitoring, citations, and fast alerts. But both come with gaps you can’t ignore. Peec AI is powerful but insight-heavy, meaning it doesn’t tell you what those insights translate into for traffic, conversions, or revenue. Otterly is simple and protective, but it stops at visibility and sentiment—it doesn’t show whether that visibility actually drives business outcomes. Modern growth teams and SMBs often end up stitching spreadsheets together, trying to interpret which engine matters, which prompts move the needle, and whether any of this AI visibility actually pays off.

That’s exactly the gap Analyze was built to close.

Analyze connects AI visibility to performance. Instead of stopping at “your brand appeared,” it shows which engines send sessions, which pages convert, which prompts generate pipeline, which competitors win the answers that cost you revenue, and which citations models rely on to shape the category. It brings the missing layer neither Peec AI nor Otterly covers: the connection between AI search → traffic → conversions → revenue → strategic actions.

Here’s how Analyze stacks up.

Feature comparison

Unified GEO stack (all features in one platform)

Most tools solve one part of the problem—visibility, analysis, or traffic. Analyze does all three. It’s built to give you total control over how LLMs describe your brand, why competitors are winning prompts, and whether those mentions actually drive traffic.

If AthenaHQ offers ease and Profound offers depth, Analyze combines both—with none of the trade-offs. It’s the only platform that gives you prompt-level intelligence across search, ranking, performance, and impact—all under one roof.

Prompt search

Most teams have no idea what ChatGPT, Claude, or Gemini are saying about them until someone on the team manually checks—and by then, it’s too late. Analyze eliminates that guesswork with an instant search feature that works just like AI users think: type in a natural-language prompt, hit search, and see how your brand shows up (or doesn’t) across major models.

There’s no setup. No tracking configuration. Just real-time results from real prompts—ranked by relevance, broken down by LLM, and complete with visibility, citations, and brand positioning insights. You can run up to 100 prompt searches per month, giving you a full lens into how LLMs are shaping perception around your brand and your market.

You’ll see:

• Whether you’re mentioned—and who else is

• The top 3 brands/models per prompt

• Position, visibility score, sentiment, and citation density

• What each model is saying, side-by-side

If you're flying blind on AI perception, this is where clarity starts.

Prompt tracking

Once you’ve identified high-value prompts, you need to monitor them over time—especially for competitive, buyer-intent queries where visibility can change daily. Analyze lets you track up to 30 prompts per month (more on custom plans), running daily queries across ChatGPT, Claude, Gemini, and Perplexity to monitor changes in rank, sentiment, and citation behavior.

Each tracked prompt feeds into a real-time dashboard with:

• Position tracking by model

• Visibility % over time

• Mention deltas (e.g. dropped from top 3, replaced by X competitor)

• Citation trends and sentiment shifts

You don’t just see how you're performing—you see when and how things are changing, so you can react with speed.

Prompt suggest

Knowing what to track is just as important as knowing how you're performing. Analyze includes an AI-driven prompt suggestion engine that identifies new prompts you should be monitoring—based on your brand, competitors, and evolving model behavior.

Suggestions are ranked by relevance and visibility potential. Each includes:

• The exact prompt text

• Option to accept or reject with one click

This is live prompt mining from the actual AI search layer—showing you the questions real users (and LLMs) are shaping your category around. Whether you’re expanding coverage, filling competitive gaps, or adjusting to how models are shifting, Prompt Suggest keeps your strategy moving with the market.

Citation analysis

In AI search, getting mentioned isn’t enough—how you’re mentioned matters. Are LLMs citing your content? Are they hallucinating claims about your brand? Are competitors being cited more often? Analyze provides prompt-level analysis with complete citation visibility across all tracked models, enabling you to identify competitors and develop strategies to outrank them.

Every prompt response includes:

• A list of URLs cited by each model (yours and competitors’)

• Number of citations per domain or page

• Which brands were mentioned without being cited (potential hallucinations)

• Trends in citation volume and source repetition over time

This lets you spot false claims, uncover underperforming assets, and see which content actually earns model trust. You can also correlate changes in citation patterns with visibility shifts—so when you drop in rank, you’ll know if it’s because you lost a link, not just an algorithm tweak.

No other platform makes LLM citations this transparent or actionable.

Competitive insights

If you’re being outranked in AI results, you need to know by who, where, and why. Analyze’s competitive insights module aggregates prompt-level tracking into a strategic dashboard that shows how your brand stacks up across your tracked landscape.

Key views include:

• Share of voice: Brand-level distribution of mentions across all tracked prompts

• Average rank: How your brand compares to others in model-generated lists

• Top cited competitors: Who’s earning the most citations per model

• Prompt-level displacement: Which competitor replaced you and when

You can filter all of this by model (ChatGPT, Claude, Gemini, Perplexity), prompt category, date range, and sentiment. You’ll go from “We’re losing ground” to “We lost position 2 in X prompt to Y competitor due to citation shift”—and that kind of specificity unlocks meaningful strategy. That’s also why we built Analyze.

Peec AI vs Otterly AI vs Analyze: Which is best for you?

If you're wondering which tool fits your workflow best, the decision usually comes down to trade-offs.
Peec AI gives you depth—prompt discovery, competitive mapping, and research-level insight.
Otterly AI gives you speed—simple tracking, brand mentions, and hallucination alerts without the learning curve.

But both force a choice between usability, depth, cost, and clarity.

Analyze was built to remove that trade-off entirely.
It blends Otterly’s simplicity with Peec AI’s analytical power, then adds the one thing neither platform delivers: real AI traffic attribution, conversion tracking, full competitor benchmarking, and actionable guidance.
Instead of choosing between “easy” and “deep,” you get a full-stack GEO platform that shows what’s happening, why it’s happening, and what to do next.

And here’s the takeaway:

• Choose Otterly AI if you want fast, lightweight monitoring with zero friction.

• Choose Peec AI if you want deeper research, prompt discovery, and competitive analysis.

• Choose Analyze if you want an affordable, all-in-one GEO platform that connects AI answers to traffic, conversions, and revenue.