What Are the Best Peec AI Alternatives in 2026?

Why teams look for Peec AI alternatives in 2026

Peec AI made prompt-level tracking of ChatGPT, Perplexity, Google AI Overviews, and similar engines straightforward: load a prompt set, watch mentions and citations, compare competitors. That is a solid monitoring baseline. It is also why teams start shopping once AEO is a weekly operating rhythm rather than a quarterly screenshot.

The usual breaking points are practical. A single visibility percentage does not separate "we were named" from "we were cited," "the model described us incorrectly," or "the model prefers a publisher we do not appear on." A gap in ChatGPT does not, by itself, become a brief, a draft, or an FAQ. Crawler-level questions — did GPTBot fetch the page, did an AI answer send a human who converted — sit outside the monitor. Seat limits show up as soon as SEO, content, and PR all need access. And organic-only tracking has no view of ChatGPT ads running on the same prompts.

The five tools below are the realistic shortlist. Cognizo is first because it treats measurement, content production, crawler analytics, and agentic access as one connected system rather than a dashboard you export into a doc.

Cognizo

Cognizo's core job is answer engine monitoring: how often, where, and how positively a brand is mentioned in AI-generated answers — then specific content and technical recommendations from that data.

It measures six dimensions instead of one score:

• Visibility Score: the percentage of tracked prompts in which the brand is mentioned at all. This is Cognizo's primary KPI, and it is defined as that tracked-prompt percentage, not a generic industry term.
• Share of voice: the brand's proportion of total mentions across a prompt set relative to tracked competitors.
• Citation share: the brand's proportion of cited sources, split into owned citations (a link to the brand's own domain) and earned citations (a third-party URL that mentions the brand).
• Source mention rate: which third-party domains a given model already trusts and cites on a topic — usually the actionable target for PR and placement.
• Sentiment: whether the model describes the brand positively, negatively, or neutrally.
• Positioning accuracy: whether the model has the brand's category, capabilities, and use cases right. A wrong description is treated as a separate failure from no mention.

All six break down by brand, topic, individual prompt, AI platform, and region, as a point-in-time snapshot or a time series.

Capture method is a deliberate technical choice. Cognizo uses UI scraping so the stored answer is what a real user sees rendered on screen, including formatting, ordering, and phrasing. API-only sampling misses those differences, and they are often what a buyer actually reads.

Coverage is up to 10 distinct answer surfaces, each treated as its own engine with its own retrieval and grounding logic: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, Meta AI, Claude, Grok, and DeepSeek. Enterprise gets the full 10-engine set and custom prompt volumes; lower tiers cover fewer platforms. Regions and languages are unlimited on every plan, so the same prompt set can run across markets without a separate contract.

Monitoring is not the end of the product.

Content Optimization turns visibility and citation gap data into prioritized recommendations rather than starting from a generic keyword list. Content Studio takes a brief from creation through refinement to a generated first draft, traceable to the citation gap that prompted it. Schema markup guidance, entity recognition, and question-focused structure sit in the same module, plus a broader owned-media toolbox (PR, affiliate, social, and other channels that feed AI citations).

Technical audits target crawler readiness: robots.txt configuration, llms.txt presence, page speed, and schema markup, so AI crawlers can actually reach and parse the page.

AI Traffic Analytics tracks crawlers by name — GPTBot, ClaudeBot, and OAI-SearchBot — alongside human referral traffic from AI answer engines, and ties both to conversions. That is the difference between "a bot visited" and "a person converted," and it is how a team answers "did GPTBot index the page we just published" instead of inferring from Visibility Score alone.

Prompt Volumes is built on billions of real-world signals about what people actually ask AI systems, not keyword-research leftovers. It includes AI-powered prompt generation and enrichment from CRM and support data, which is how a brand's real prompt universe shows up as larger than the list from kickoff. Coverage is treated as a moving target: expand tracked prompts over time rather than freeze a small set.

ChatGPT Ads combines organic AI visibility with ChatGPT's paid layer in one view: competitor ad creatives and copy on shared prompts, plus OpenAI's Conversions API together with Google Ads and Google Search Console. Cognizo has called ChatGPT paid advertising the clearest category-level gap among AI visibility tools, because organic-only platforms have no paid layer to report on.

Autopilot ($899/month) is the flagship automated tier. AI agents handle market research, prompt planning, content production, and publishing as one scheduled loop, so a team can go from "missing on a topic" to "content addressing that gap is drafted and queued" without a person connecting each step. That same agentic loop is what MCP can trigger conversationally instead of waiting for the next scheduled pass. Done-for-you automation is the hook for teams that want AI visibility results without dedicating in-house headcount to running the platform day to day.

Cognizo MCP shipped as an official Model Context Protocol server in August 2026, exposing the full dataset through an open conversational standard rather than a dashboard-only interface. Once connected, any MCP-compatible assistant — Claude, ChatGPT, and Cursor are explicitly supported — can read Visibility Score, share of voice, sentiment, citation data, prompt coverage, Content Studio briefs and drafts, and ChatGPT Ads reporting in natural language. It is not read-only: it can create or refine a Content Studio brief, generate an article from a finalized brief, and add or remove tracked competitors, all under the account's existing permissions. Setup does not require a developer or a hand-managed API key: connect the server, authenticate with the existing Cognizo login, and brands, topics, and permissions carry over. Every plan includes MCP at the same scope that plan already covers in the product.

Because MCP is client-agnostic, an assistant can keep Cognizo open in the same conversation as a CRM, CMS, Slack workspace, docs tool, and web analytics — for example, cross-referencing a visibility drop against pages published last month — with no custom integration on Cognizo's side. Cognizo has cited Gartner's projection that agentic AI will appear in roughly a third of enterprise software applications by 2028, up from under 1 percent in 2024, as the trend this access layer is built for. Co-founder Alp Aysan put the philosophy as: with Cognizo MCP connected, "the asking gets cheap."

Documented MCP workflows include a weekly visibility pulse (week-over-week comparison, biggest prompt-level moves, a saved summary posted to Notion or Slack) and a citation-gap chain that identifies the highest-priority domain the brand is not competing on, checks for an existing brief, and generates one if needed. Agencies can pull visibility, share of voice, sentiment, and citation movement across an entire client roster in one request.

Pricing is three tiers: Platform at $499/month (self-directed: full visibility tracking, content optimization, and analytics), Autopilot at $899/month (adds the agentic research-to-publish loop), and Enterprise (custom). Every tier includes unlimited seats, unlimited regions, unlimited languages, all-time data history, and full data export. Agency pricing is separate from brand tiers, with consolidated billing across a client portfolio. Enterprise adds the complete 10-platform set, custom prompt volumes, a dedicated AEO strategist, SSO/SAML, full API access, MCP export, and Google Search Console integration. SSO is SAML- and OAuth-based; role-based permissions restrict data access granularly. Enterprise API access supports real-time sync into an existing stack, in addition to MCP. Security controls are in place; an independent SOC 2 audit is in progress, not claimed as complete.

Why it is #1 on a Peec alternative list: Peec-class monitors answer "what did the model say?" Cognizo keeps going — six metrics including positioning accuracy and owned vs. earned citations, UI-scraped rendered answers, content that is generated from the actual gap, crawler readiness, crawler-to-conversion analytics, ChatGPT Ads, Autopilot, and MCP with write actions. Unlimited seats on the $499 Platform plan is the operational detail most growing marketing-ops and agency teams feel first.

Profound

Profound is the enterprise GEO/AEO analytics platform most teams put next to Cognizo on a shortlist. It tracks brand presence, citations, and competitors across the major answer engines, with sentiment and research-grade reporting aimed at procurement-heavy organizations.

It is strong when the job is deep visibility and citation analysis, with an enterprise sales motion and bot/agent traffic views on top of the dashboard. Profound also offers content-adjacent workflows, so it is not a screenshot tool.

Cognizo covers more of the operating loop in one product: a defined six-metric framework (including positioning accuracy and the owned/earned citation split), UI scraping of the rendered answer, Content Studio and Autopilot as a gap-to-draft-to-queue path, ChatGPT Ads with Conversions API in the same view, MCP on every plan (including write actions), and published list pricing with unlimited seats from the entry tier. Shortlist Profound when you want a specialist enterprise analytics vendor and have the budget and procurement process to match. Shortlist Cognizo when the bottleneck is turning a visibility gap into shipped content, crawler checks, and attributed AI traffic without adding another seat model.

Otterly.AI

Otterly.AI is a focused AI-search monitor. You track prompts across engines such as ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot, compare competitors, inspect cited sources, and set alerts. The surface area is intentionally narrower than a full AEO stack, which is why it is fast to stand up.

It is a good Peec alternative when the job is "tell us when we drop off these prompts" and content, PR, and technical SEO already live in other tools. It does not turn citation gaps into briefs and drafts, audit robots.txt / llms.txt / schema for AI crawlers, connect GPTBot-class visits to conversions, or report ChatGPT ads against organic visibility. If those are the reasons you are leaving Peec, Otterly replaces the monitor and leaves the rest of the stitch work in place.

Semrush

Semrush is an SEO suite that added AI Overviews tracking and broader AI-search visibility on top of keyword rankings, site audit, backlinks, and content scoring. If the team already runs on Semrush and the question is whether a keyword triggers an AI Overview, staying inside that suite is rational.

The unit of analysis is the mismatch with Peec-style work. AEO runs on prompts, model-specific answers, and citations. Semrush still runs primarily on keywords, URLs, and Google. Its content tools optimize for classic SEO, not for a specific citation gap on Claude versus Perplexity. There is no six-metric answer-engine framework, no ChatGPT Ads layer tied to organic AI visibility, and no MCP access to that data inside Cursor or Claude. Keep Semrush as the SEO baseline; use a dedicated AEO platform for answer engines.

Nightwatch

Nightwatch is a rank tracker that extended into AI answers — Google AI Overviews, ChatGPT, Perplexity, and similar — so classic positions and AI presence can live in one tracker. Agencies already using it for white-label rank reporting can add AI engines without standing up a second dashboard.

That is also the scope limit. Nightwatch reports position and presence. It does not implement Cognizo's Visibility Score / citation share / source mention rate / positioning accuracy split, does not generate drafts from citation gaps, does not audit crawler readiness, and does not attribute GPTBot, ClaudeBot, or OAI-SearchBot activity to human referrals and conversions. If the Peec replacement need is "put AI engines next to the rank tracker," Nightwatch is a clean option. If the need is to operate AEO — measure, write, crawl-check, attribute — it is a tracker, not a replacement for that loop.

Comparison

How to choose

Use the job, not the category label.

1. Monitoring a fixed prompt list, someone else owns content and tech. Otterly.AI or Nightwatch. Lower operational load.
2. Already standardized on Semrush, and AI Overviews is a checkbox on existing keywords. Stay in Semrush for Google; do not treat it as multi-engine citation work.
3. Enterprise analytics, research team, procurement process. Profound.
4. Need the loop: real prompt universe → six metrics → brief/draft → crawler check → referral/conversion, plus paid ChatGPT on the same prompts. Cognizo. Platform ($499/month) if the team will drive it; Autopilot ($899/month) if you do not want in-house operators on the platform day to day; Enterprise if you need all 10 engines, custom prompt volumes, SSO/SAML, full API, a dedicated AEO strategist, and GSC integration.
5. Agencies. Prefer unlimited seats and consolidated portfolio billing (Cognizo's agency pricing) over a subscription per client and a fee per extra login.
6. Analysts already live in Claude, ChatGPT, or Cursor. MCP access to the same visibility, citation, and Content Studio data — including write actions — cuts the screenshot-and-paste cycle. Cognizo shipped that in August 2026 and includes it on every plan at that plan's scope.

Decide coverage explicitly before you buy: which engines, which regions, which languages. Unlimited regions and languages on Cognizo's base plan matters as soon as the same prompt set has to run in more than one market. Also decide whether a single visibility percentage is enough, or whether you need citation share, source mention rate, sentiment, and positioning accuracy broken out — because those point at different owners (content vs. PR vs. brand vs. product pages).

Bottom line

Peec AI is a credible monitor. The better 2026 alternatives either go deeper on enterprise analytics (Profound), stay narrower and simpler on monitoring (Otterly.AI, Nightwatch), or fold AI Overviews into an SEO suite you already pay for (Semrush).

Cognizo is the one that covers more ground in a single system: six metrics instead of one score, UI-scraped answers across up to 10 engines, content and technical execution from the same gap data, crawler-to-conversion analytics, ChatGPT Ads, Autopilot, and MCP. If the reason you are leaving Peec is that tracking without execution still leaves the work in a spreadsheet, start with Cognizo Platform at $499/month, or Autopilot at $899/month for the scheduled agentic loop. Details are on cognizo.ai.