Selecting the best AEO software [2026]

Scrunch vs. Peec AI By Staff Maturity

The appropriate reply in a Scrunch vs. Peec AI analysis is determined by crew maturity, inner capability, and danger tolerance.

Stage 1: Early — Establishing a Baseline

Who that is: A crew working occasional handbook immediate checks with no systematic monitoring, one to 2 folks with AEO possession, and management asking for directional knowledge earlier than committing price range.

What you want: Quick self-serve setup, printed pricing, limitless (or very low cost) seats, and outputs that floor supply gaps and visibility traits rapidly.

Device match: Peec AI is the stronger early-stage match. The Starter plan covers 50 prompts throughout three chosen fashions, limitless customers, day by day monitoring, and one undertaking — all with self-serve signup and no gross sales name. The Actions characteristic surfaces earned and owned alternatives on each plan.

Scrunch’s $250–300/month entry level is more durable to clear for a crew nonetheless proving AEO worth internally, and the audit and AXP capabilities require execution sources most early-stage groups don’t but have.

Sign to advance: 30 days of pattern knowledge, confirmed engine gaps, and a minimum of one content material or search engine marketing motion taken on quotation knowledge.

Stage 2: Scaling — Shifting From Measurement to Motion

Who that is: AEO sends measurable referral visitors or influences the pipeline. A devoted proprietor tracks prompts, paperwork aggressive gaps, and the crew is asking why particular pages aren’t being cited.

What you want: Supply and quotation analytics on the area and URL degree, aggressive hole prioritization, multi-project help, and sufficient reporting infrastructure to temporary stakeholders.

Device match: On the scaling stage, the Scrunch vs Peec AI tradeoff sharpens: each instruments have footholds, however they diverge on what they’re optimized for. Peec AI’s Professional and Superior tiers add multi-country monitoring, Looker Studio, and Hole Evaluation displaying competitor-cited sources by area, subdomain, and URL.

The unlimited-seats mannequin continues to matter as model, content material, and PR stakeholders are pulled in.

The hole is web site auditing: Peec AI can not inform a crew which of its personal pages are structurally failing with AI crawlers. Scrunch’s audit layer solutions precisely that query and feeds into ranked optimization suggestions.

The trade-off is entry friction — Scrunch’s pricing is increased, and its most helpful capabilities require better inner execution capability to behave on.

Neither software connects natively to CRM or advertising execution pipelines at this stage.

Sign to advance: A recurring AEO evaluate cadence, content material, and PR selections knowledgeable by quotation knowledge, and management asking how visibility connects to income.

Stage 3: Superior — Governance, Agentic Supply, and Organizational Scale

Who that is: AEO is an outlined self-discipline with multi-engine monitoring, devoted possession, compliance, entry controls, and workflow integration as buying necessities.

What you want: SOC 2, SSO, RBAC, API entry, multi-brand/multi-country protection, and a transparent reply on whether or not to actively form what AI brokers obtain from the location.

Device match: Scrunch is positioned extra explicitly right here. SOC 2 Kind II, RBAC, SAML/OIDC SSO, a developer-grade API, and the AXP collectively make it a extra full enterprise stack.

Peec AI’s Enterprise tier — as much as 13 LLMs, SSO, role-based permissions, API, MCP, limitless tasks — is extra aggressive right here than its SMB-facing entry plans recommend. For superior groups whose major want is deep multi-engine monitoring with out web site auditing or agentic supply, Peec AI Enterprise is price evaluating on the deserves.

Scrunch vs. Peec AI: Strategy and Methodology

One of many extra significant variations between Scrunch and Peec AI lies within the knowledge assortment layer, although neither software publishes a full technical specification. Each are closed-source and hosted.

Data Collection

Scrunch uses a combination of browser automation and official platform APIs, choosing per-platform to reflect real consumer interactions. Responses are cross-validated against a continuously updated dataset.

AI models (OpenAI, Google Vertex AI) analyze responses for sentiment, topic classification, and named entities; user data is contractually prohibited from being used to train those models.

For most engines, Peec AI collects data by interacting directly with each platform’s web interface, mirroring how a real user would submit a query rather than pulling responses through a backend API.

ChatGPT is tracked natively via UI simulation on every plan; the OpenAI Search API is a separate add-on treating it as a distinct data source.

For geographic coverage, Peec AI states it uses dedicated infrastructure in 80+ countries rather than injecting geographic identifiers into prompts — a methodology point worth asking both vendors about directly if multi-market accuracy is a requirement.

AEO measurement is inherently probabilistic: LLMs are non-deterministic, and the same prompt can produce different citations across sessions. Tracking directional trends over 30–60 day windows is more reliable than acting on single data points from either tool.

Data Structuring and Core Metrics

Scrunch normalizes responses into four per-response metrics: presence, position, sentiment (positive/negative/neutral), and citations. These roll up into brand presence rate, competitive presence share, citation share by ownership category, and trends over time.

Individual responses are preserved and openable so that any aggregate score can be traced back to its underlying data. Scrunch also calculates an Influence Score per source (unique prompts × citation percentage) to prioritize outreach targets.

Peec AI applies a consistent four-dimensional model across all engines: Visibility (% of responses where the brand appears), Share of Voice (brand mentions ÷ all tracked brand mentions), Position (average ranking; lower is better), and Sentiment (0–100).

The SoV formula is documented explicitly — a brand can have high Visibility but low SoV if competitors appear more often. Position rankings account for every brand detected in a response, including untracked competitors, producing a true competitive position.

Sources and citations are tracked as formally distinct layers: sources are all URLs that an AI accessed; citations are those explicitly referenced in the answer text. Sources are classified into five types:

• Editorial
• Corporate
• UGC
• Reference
• Own website

Each source maps to a different action.

Monitoring Cadence

Scrunch refreshes new prompts daily for the first 14 days, then defaults to every 72 hours, with on-demand refresh available. Peec AI tracks daily on all standard plans (Starter through Advanced) and is weekly-optional on Enterprise.

For teams monitoring active campaigns or fast-moving categories, the daily default is meaningfully more up-to-date.

Diagnostics

Scrunch includes a page-level Deep AI Audit covering four scored dimensions: Access Controls, Content Delivery, Content Quality, and Content Alignment. Each dimension returns a checklist of passed and failed checks with specific fixes.

Audits are point-in-time snapshots and must be manually re-triggered after page changes. Starter includes five audits/month; Growth includes ten.

Peec AI does not offer page-level auditing. Its Crawlability feature checks robots.txt against 40+ AI bots; Crawl Insights connects to server logs via eight CDN integrations to show actual bot traffic by type, URL, and intent.

These are access and traffic diagnostics, not content-quality audits.

Recommendations

Scrunch surfaces optimization opportunities from two sources: competitive gaps (competitors cited where the brand isn’t) and content gaps (LLM searches on topics with no matching page on the domain). Recommendations are filterable by persona, topic, funnel stage, and platform. The platform does not generate or publish content.

Peec AI’s Actions feature is included on all paid plans at no extra cost.

It clusters citation sources into content-type groups (editorial listicles, Reddit discussions, product pages), calculates a Relative Opportunity Score of 1–3 based on model citation frequency and competitive gap, and returns step-by-step guidance organized into Earned, Owned, and Impact tabs.

Actions do not write content; the product page states this is intentional to preserve brand voice and human judgment.

The practical difference: Scrunch’s recommendations skew toward on-site content and technical structure; Peec AI’s toward earned coverage and external authority.

Agentic Delivery

Scrunch’s AXP detects AI retrieval bots, strips JavaScript and rendering overhead, restructures content into clean semantic HTML, and delivers that version to the bot. At the same time, human visitors see the normal site — all at the CDN layer with no canonical site changes required.

Peec AI has no equivalent; its crawl features are diagnostic only.

Scrunch vs. Peec AI: Monitoring Coverage and Citation Tracking

Engine Coverage

The self-serve Starter tier only covers four engines: ChatGPT, Perplexity, Google AI Overviews, and Copilot. To cover Claude, Gemini, Meta AI, and Google AI Mode, one must have the Enterprise plan.

Peec AI includes six engines on every standard plan (ChatGPT, AI Overviews, AI Mode, Perplexity, Gemini, Copilot). Claude Sonnet/Haiku, OpenAI Search API, DeepSeek, Qwen, Grok, and Mistral are available as add-ons or on Enterprise, with support for up to 13 LLMs.

At the self-serve entry tier, Peec AI covers more engines by default — a key differentiator in any Scrunch vs Peec AI engine evaluation.

Prompt Model

Scrunch’s prompt allowance is shared across all active engines — tracking one prompt across four engines consumes four prompt slots. Starter includes 350 custom + 1,000 industry prompts, three personas, and five page audits.

Personas allow teams to compare AI responses for different buyer types (e.g., CFO versus marketing manager) against the same prompt.

Peec AI’s plans select three models of the team’s choice from the six default engines; the prompt budget applies only to those chosen engines. Starter covers 50 prompts, unlimited users, and one project. A Prompt Volume score (1–5) signals relative demand for each tracked topic, helping teams prioritize prompt allocation.

Visibility Metrics

Both platforms track presence, position, sentiment, and citation share. Key documentation differences: Peec AI publishes explicit metric formulas (SoV formula documented; position rankings account for untracked competitors).

Scrunch preserves individual response text for auditability — any aggregate score can be traced to its underlying responses.

Neither tool publishes its sentiment classification methodology (training data, model, or confidence thresholds); treat both as directional signals.

Citation Tracking

Scrunch classifies citations as brand-owned, competitor, or third-party. The aggregate ownership split is visible in the dashboard; URL-level citation details require the responses API (list_responses). An Influence Score (unique prompts × citation %) helps prioritize outreach to sources.

Peec AI formally separates sources (all URLs accessed) from citations (URLs explicitly referenced in the answer). Five source categories — Editorial, Corporate, UGC, Reference, Own website — each map to a documented action.

Gap Analysis surfaces competitor-cited sources the brand is missing, ranked by Gap Score, broken down by domain, subdomain, and URL, and viewable in the dashboard without API work. Query Fanouts surface the background searches a model runs while composing an answer (ChatGPT, Perplexity, Copilot), revealing topic clusters not yet in a brand’s content or PR program.

Exports and BI Access

Scrunch offers three API endpoints (query, responses, agent traffic) on Enterprise; all use 90-day historical windows. API billing is per AI response collected. MCP server connects to Claude, ChatGPT, Copilot Studio, Cursor, VS Code, and Windsurf. No native Looker Studio connector is documented on standard plans.

Peec AI offers CSV export on all plans; Looker Studio connector on the Advanced tier; and API and MCP on the Enterprise tier. MCP connects to Claude, Cursor, VS Code, GitHub Copilot, and Windsurf, with read-only tools running freely and write/delete actions requiring confirmation from the organization owner.

Scrunch vs. Peec AI: Auditing and Optimization

What “Auditing” Means in Each Product

The auditing gap is one of the most consequential differences in the Scrunch vs Peec AI comparison. Scrunch’s Deep AI Audit is a page-level diagnostic run from the Site Maps tab. Select any URL, trigger a Deep AI Audit, and receive scores across four dimensions:

• Access Controls (robots.txt and CDN permissions)
• Content Delivery (speed and technical hygiene)
• Content Quality (completeness and format for AI consumption)
• Content Alignment (how well the page maps to tracked prompts)

Each dimension returns a checklist of passed and failed checks with specific fixes. Audits are point-in-time and must be re-triggered after changes. Starter allows five per month; Growth allows ten per month.

Peec AI does not offer page-level auditing. Its Crawlability feature checks robots.txt against 40+ AI bots; Crawl Insights (via eight server-log integrations) shows actual AI bot traffic by type and URL. These diagnose access and traffic, not content quality or content alignment.

Recommendations

Scrunch’s Insights view surfaces two gap types: competitive gaps (competitors cited where the brand isn’t) and content gaps (prompts returning no matching page on the domain). Each recommendation includes the issue and the recommended fix. Filterable by persona, topic, funnel stage, and platform. No in-tool content generation; on Scrunch’s 2026 roadmap.

Peec AI’s Actions feature — included on all paid plans at no extra cost — clusters citation sources into content-type groups, scores each by Relative Opportunity (1–3: model citation frequency × competitive gap), and returns step-by-step guidance in three tabs:

• Earned (editorial, UGC, reference)
• Owned (own-site content)
• Impact

On-Page Actions identify owned-page gaps; Off-Page Actions cover sources requiring PR, community, or directory work—no in-tool content generation; intentional per product documentation.

Content-Gap Analysis

Scrunch defines content gaps as prompts with no matching page on the brand’s domain — an on-site framing. The audit feeds gap detection by identifying which pages are visited by bots but not cited, and which have structural issues preventing citation.

Peec AI defines content gaps at the source level — external sources where competitors are cited and the brand is not. Gap Score ranks sources by retrieval frequency and competitive gap. Source type (Editorial, Corporate, UGC, Reference, Own website) determines the action.

These are different questions: Scrunch identifies what to fix on your own domain; Peec AI identifies where you need external presence. A complete AEO strategy requires both.

Execution Support

Scrunch’s Optimizer analyzes an audited page, targets a specific persona, suggests which prompts to optimize for, and recommends related pages to draw content from. Paired with AXP, the optimized version is delivered directly to AI crawlers at the CDN layer without a CMS republish.

Without AXP, it generates actionable suggestions for the human-facing page.

Peec AI’s Off-Page Actions include the specific source, content cluster, gap score, and recommended intervention (PR pitch, community post, directory update). On-Page Actions identify owned pages with gaps, common AI-retrieved phrases, model-specific patterns, and step-by-step directions on what to write or restructure.

Neither tool writes nor publishes content.

Execution resources each tool requires: Scrunch — a developer or CMS editor for technical fixes, a content writer for quality and alignment changes. Peec AI — a PR or outreach person for editorial and corporate gaps, community manager for UGC, content writer for owned gaps. Map available team resources to recommendation types before selecting.

Scrunch vs. Peec AI: Agentic Delivery Layers

What Agentic Content Delivery Means

The goal is to change what AI models ingest from your domain rather than waiting for organic crawl behavior to reflect manual page changes.

How Scrunch’s AXP Works

The AXP sits at the CDN layer as middleware. When an AI retrieval bot (ChatGPT, Perplexity, Claude, and others) visits a URL in scope, AXP detects it, strips JavaScript and visual rendering overhead, restructures the page into clean semantic HTML, and delivers that version to the bot.

The human-facing site remains completely unaffected. Teams get fine-grained control — rules to block, redirect, or strip scripts at the page or path level; a full change log with version rollback; and a comparison preview showing token differences between bot-facing and human-facing HTML.

AXP integrates with Cloudflare, Akamai, Vercel, and AWS CloudFront.

Peec AI has no equivalent. Its Crawl Insights and Crawlability features are diagnostic, not interventional.

Benefits, Risks, and Overhead

Benefits: For sites that are JavaScript-heavy, slow-loading, or dynamically rendered, AXP ensures AI agents receive parseable content without requiring a CMS-level rebuild. It moves from passive measurement to active signal shaping.

Risks: AXP does not guarantee any improvement in citations. Cleaner HTML improves the likelihood that agents can read the content; it does not instruct models to cite it or override retrieval-augmented generation authority signals. It also does not affect traditional search indexing — Scrunch’s FAQ explicitly states Google and Bing crawlers are not affected.

Overhead: Setup requires the team that manages the CDN or DNS layer — not marketing. Third-party reviewers note that CDN connections not yet fully supported can cause setup stalls. This feature is best owned by a team already operating the web stack.

Best-Fit Teams

AXP fits teams that have: (a) confirmed via crawl logs that AI bots visit the site but content is not cited; (b) technically complex sites where CMS fixes would be slow; (c) a web operations resource who can own the CDN integration; and (d) already actioned monitoring and content recommendations.

Teams still building a prompt library or establishing a citation baseline should complete those steps first — CDN infrastructure before monitoring basics is a common overpurchase.

Scrunch vs. Peec AI: Pricing and Plan Structure

Scrunch vs. Peec AI: Safety and Governance

Scrunch

• SOC 2 Kind II: Licensed; verifiable by way of Scrunch’s Belief Middle. First-party confirmed.
• SSO: SAML and OAuth choices; SAML/OIDC is an Enterprise tier characteristic.
• RBAC: Three documented roles — Admin (full entry), Editor (prompts + model settings), Viewer (read-only). Per-brand entry management for multi-brand accounts.
• Audit logs: Listed as an Enterprise characteristic; described as “immutable” in AXP platform documentation.
• GDPR and CCPA: Each documented. Vendor states it doesn’t promote private info.
• Knowledge coaching: Person knowledge contractually prohibited from coaching exterior AI fashions.

Peec AI

• SOC 2 Kind II: Not but licensed. First-party disclosure (July 2026): “Peec AI is deeply dedicated to safety and is actively pursuing SOC 2 certification, although we don’t supply it simply but.” For procurement processes the place SOC 2 is a tough gate, Peec AI at the moment can not clear it. Confirm present standing immediately.
• SSO: Enterprise tier solely; Google and Microsoft social login out there on all tiers.
• RBAC: Firm-wide and per-project entry ranges (full and read-only) documented on the pricing web page; particular function names not printed.
• GDPR: Peec AI GmbH is integrated in Berlin and operates as a GDPR-subject controller. Privateness coverage paperwork DPAs, third-country switch safeguards, and knowledge topic rights.
• Knowledge use: Phrases of use: buyer knowledge processed solely as crucial; returned or deleted on contract termination on request.
• Not printed: SOC 2 timeline, CCPA posture, knowledge residency, HIPAA standing, audit log scope.

Which must you select: Scrunch vs. Peec AI?

Select Peec AI when:

You’re early-to-scaling and must show AEO worth internally. Printed pricing, self-serve onboarding, limitless seats, and full-feature trial entry remove friction earlier than the price range is dedicated. The mannequin is constructed for groups nonetheless constructing the case.

You’re an company managing a number of shoppers. Limitless seats on all plans plus devoted company plan buildings with per-client undertaking administration, centralized billing, and versatile credit score allocation are purpose-built for companies.

Your major want is quotation analytics depth. The source-vs-citation distinction, five-category supply classification, Question Fanout monitoring, and ranked Hole Evaluation are documented in better granularity than Scrunch’s quotation layer at the usual plan degree.

Gemini and Claude protection matter on the entry worth. Peec AI consists of Gemini and 5 different engines on each normal plan. Scrunch requires Enterprise for each.

The price range is under $250/month. Peec AI Starter at ~$95/month covers day by day monitoring, six engines, limitless seats, and the Actions characteristic.

SOC 2 just isn’t but a tough procurement requirement. If the safety evaluate continues to be casual, Peec AI’s in-progress certification just isn’t a blocker. If SOC 2 is a tough gate, Peec AI at the moment can not clear it.

Select Scrunch when:

You want page-level web site auditing. The Deep AI Audit — which scores pages throughout Entry Controls, Content material Supply, Content material High quality, and Content material Alignment — is a documented functionality that Peec AI doesn’t supply. If the visibility hole lies in on-site technical or content material points, Scrunch is the higher diagnostic software.

SOC 2 Kind II is a tough procurement requirement. Scrunch’s certification is confirmed and verifiable. Peec AI can not at the moment clear this gate.

You need agentic content material supply. If AI bots are confirmed to be visiting the location however content material isn’t being cited, you’ve got an online ops useful resource for CDN integration, and also you’ve already exhausted content-level interventions, then AXP is a game-changer; no different self-serve AEO platform matches it.

You’re constructing inside the Sitecore DXP ecosystem. Scrunch permits native integration of AEO perception into content material administration, advertising, and DAM workflows for present Sitecore prospects.

You want persona-level immediate segmentation. Operating the identical immediate towards totally different simulated purchaser sorts and evaluating AI responses is extra explicitly constructed into Scrunch’s knowledge mannequin.

Certified Eventualities The place Neither Is Clearly Higher

A scaling crew that wants each on-site auditing and deep multi-engine monitoring might must run each instruments — or settle for a functionality hole. Profound and different full-stack platforms are additionally price evaluating right here.

A mid-market crew evaluating Claude or Gemini faces a worth step with each instruments, although Peec AI’s step (Superior add-on mannequin) is smaller than Scrunch’s (Enterprise).

Or Select a Workflow-Native Various With HubSpot AEO

What HubSpot AEO Provides

Most groups working a mature AEO program in 2026 function it alongside Semrush, Ahrefs, or related search engine marketing instruments somewhat than changing these instruments.

Groups combine AEO and search engine marketing on the content material and reporting layer: they use AEO quotation knowledge to prioritize pages for search engine marketing updates, and so they use search engine marketing visitors knowledge to measure which AEO-cited pages drive human visits.

Neither software requires a CMS migration, platform consolidation, or change to present analytics infrastructure to get began.