Choose HubSpot AEO when CRM-informed prompt suggestions and action inside Marketing Hub are central to your process. Choose Peec AI when project-based tracking, source and citation analysis, broader default model coverage, or agency reporting matter more. If you need only an initial diagnostic, start with HubSpot’s free AEO Grader.
This is a workflow-fit guide, not an independent accuracy benchmark. A Grader score, a visibility percentage, a position, a source observation, and share of voice are different measurements. They should not be treated as a common score across platforms.
The practical question is not which product has the more impressive headline metric. It is which product gives your team evidence it can interpret, validate, and turn into owned work.
The short answer: choose for the work that follows measurement
When action stays in HubSpot
Consider it when CRM-informed prompt suggestions, Marketing Hub content workflows, and a single HubSpot operating environment are important. Standalone AEO is also available.
When monitoring leads the process
Consider it when project-based tracking, source and citation analysis, selected model coverage, or agency reporting is the stronger requirement.
HubSpot distinguishes its free AEO Grader, a one-time diagnostic, from paid HubSpot AEO, which tracks prompts over time. The Grader can establish a dated baseline or support an initial business case. It does not replace ongoing monitoring.
What each product measures, and what the free Grader does not do
The HubSpot Grader produces a snapshot with five weighted dimensions: Sentiment Analysis, up to 40 points; Presence Quality, up to 20; Brand Recognition, up to 20; Share of Voice, up to 10; and Market Competition, up to 10. These weights describe the Grader’s composite score, not a universal AEO measurement scale.
There is also a model-label caveat. HubSpot’s general materials use broad ChatGPT language, while the current Grader FAQ specifically names GPT-5.2 alongside Perplexity and Gemini. HubSpot AEO documentation lists daily tracking across ChatGPT, Gemini, and Perplexity. Do not infer from this that other AI referral sources are supported prompt-tracking engines.
Peec’s current vendor-maintained reference lists six default models for brand plans: ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, and Gemini. Plans let users choose three models. Additional model and Enterprise coverage is plan-dependent. This means the products can differ in model coverage as well as prompts, geography, collection method, definitions, and aggregation.
Peec also distinguishes a source, a URL accessed by a model, from a citation, a URL explicitly referenced in the visible response. One response can contain multiple sources and citations. An accessed URL is not necessarily shown to the user as a citation, so retain these as separate observations.
When rerunning the Grader, record the report date, brand inputs, competitor set, and model wording. If any of those change, treat the result as a new baseline rather than a clean longitudinal comparison.
Compare operating fit, not just feature counts
| Decision criterion | HubSpot AEO | Peec AI |
|---|---|---|
| Engine choice | Three documented engines: ChatGPT, Gemini, and Perplexity | Six default models listed; three selected per brand plan |
| Tracking cadence | Tracked prompts run daily | Daily tracking is listed for the referenced brand plans |
| Analysis emphasis | Visibility, competitors, citations, and recommendations | Project monitoring plus source and citation analysis |
| Workflow context | CRM-informed prompt suggestions and additional Marketing Hub features | Project-centered monitoring and reporting for external workflows |
| Integration channels | AEO product experience documented; public AEO-specific API or export contract not verified | CSV, Looker Studio, API, and MCP are listed; confirm plan and technical details |
HubSpot says tracked prompts run daily and advises reviewing multiple days or weeks before evaluating trends. Its documentation lists CRM-based prompt suggestions and blog-post generation for Marketing Hub Professional and Enterprise. Those features should not be assumed for standalone AEO.
Peec describes UI scraping for most tracked engines as its collection method. That is a vendor-described approach, not evidence that its results are inherently more accurate than results collected another way. Peec lists CSV, Looker Studio, API, and MCP channels, but exact API schemas and plan-specific access require technical confirmation.
Before choosing based on an integration, confirm the plan, access route, required fields, historical retention, and whether the needed record is an accessed source or a visible citation. HubSpot’s reviewed AEO material does not establish a public AEO-specific API schema or export contract. Peec advertises integration channels, but the reviewed material does not establish every endpoint, field, rate limit, or retention rule.
Pricing and limits: model the workload before comparing plans
The following are vendor-listed values researched October 12, 2026. Pricing and packaging can change, so recheck the live pages before purchase.
| Offering | Listed monthly price | Documented limits |
|---|---|---|
| HubSpot AEO standalone | $50 monthly; $45 with annual billing | 25 prompts, 2,500 monthly answers, three engines |
| Marketing Hub Professional | AEO included with the subscription | 25 prompts, 2,500 monthly answers, three engines |
| Marketing Hub Enterprise | AEO included with the subscription | 50 prompts, 5,000 monthly answers, three engines |
| Peec Starter | $95 | 50 prompts, three selected models, one project, one country per project |
| Peec Pro | $245 | 150 prompts, three selected models, two projects, three countries per project |
| Peec Advanced | $495 | 350 prompts, three selected models, five projects, three countries per project |
Peec’s AI Instructions page says its price summary was confirmed in July 2026. The Peec pricing page should be treated as the final source before publication. The listed Enterprise plan is custom-priced. HubSpot Marketing Hub subscriptions have their own pricing, so the table describes AEO limits rather than the total cost of Marketing Hub.
For a rough workload estimate, multiply planned prompts by selected models, locations, and tracking days. Then confirm each vendor’s counting rules. For Peec agency pricing, the published credit model is one prompt tracked on one model for one day. Frequency and duration therefore affect consumption. See the Peec agency pricing page for current terms. A prompt allowance is not the same as a total answer or observation count.
How to compare visibility without creating a false winner
Do not compare headline scores by default. Prompt sets, model versions, geography, collection methods, source definitions, scoring formulas, and aggregation periods may differ. A controlled comparison asks whether each product is useful for your work and whether trends within each product are meaningful.
Consider three measurement layers separately:
- Presence: whether the brand appears.
- Position or prominence: where it appears relative to other brands.
- Source and citation evidence: whether URLs are accessed or explicitly cited.
For example, an illustrative brand appearing in 70% of tracked answers but receiving few citations presents a different investigation from one appearing in 40% while owning many cited URLs. Both percentages are hypothetical, not vendor results. The first pattern may prompt an authority and source review; the second may prompt a review of buyer questions where the brand is absent.
Turn an observation into an owned action
A reliable operating pattern is: observation, evidence context, bounded classification or summary, deterministic validation, human approval, then a content, outreach, or reporting task. HubSpot documents daily tracking and recommendations, with CRM-based prompt suggestions and blog-post generation in Marketing Hub Professional and Enterprise. Peec documents monitoring, source and citation analysis, and MCP capabilities. Neither description means an observation automatically publishes content or writes a CRM record.
Treat every exported, copied, or MCP-derived finding as a proposed action until its prompt, model, date, URL, scope, and owner are checked. Use AI for concise synthesis or an ambiguous source classification. Keep the approval decision with a person.
Three practical handoff patterns
| Trigger and input | AI job | Validation and fallback | Destination |
|---|---|---|---|
| Grader report with brand inputs, competitor set, date, and model wording | Extract stated dimensions and identify questions for review | Marketing owner confirms inputs; create a new baseline if inputs change | Internal evaluation record |
| Tracked prompt run with project, prompt, model, geography, timestamp, and response | Optionally classify an ambiguous source using a versioned rubric | Require identifiers and valid URL; retain raw values; route uncertain classifications to review | Reporting store or analysis workflow |
| Source or citation finding with evidence URL and prompt context | Summarize the finding and suggest an approved action | Check freshness, ownership, URL, period, and action scope; reject missing evidence | Human-owned content, outreach, or reporting task |
| Approved Peec MCP mutation with target entity ID and owner confirmation | No autonomous decision; prepare a bounded request summary | Require organization-owner permission, confirmation, audit log, and before-and-after payload | Vendor record after separately approved write |
Illustrative ConsultEvo design example, not a vendor schema: the following proposed review record keeps evidence and approval separate from any later CRM, content, or outreach action.
{
"source_platform": "Peec",
"project_id": "project-123",
"prompt_run_id": "run-456",
"observed_url": "https://example.org/relevant-page",
"finding": "Illustrative: competitor associated with this source",
"proposed_action": "Review whether outreach is appropriate",
"approval_status": "pending",
"reviewer_id": null
}Validate required IDs, URL format, allowed status values, dates, period scope, and duplicate events with ordinary rules. AI should not fill in missing run metadata, calculate share of voice from one observation, send outreach, or publish content.
For concurrent ingestion, a read-then-insert check is not sufficient. Two workers can pass the same lookup and create duplicates. Use a database-enforced uniqueness constraint or a transactional upsert. A proposed uniqueness design might use the vendor run ID where available, together with the source system and project. If no stable run ID exists, retain a generated ingestion ID, a content hash, and a separate retry or attempt record. Do not use prompt text alone as a deduplication key.
Keep the data grain explicit:
- Prompt run: one prompt, model, geography, and run timestamp.
- Source observation: one accessed URL for one prompt run.
- Citation observation: one visibly cited URL for one prompt run, with position where available.
- Period summary: an aggregation with explicit dates, prompt-set version, model set, geography, and aggregation version.
- CRM event: a separate approved business action that references the evidence record, not a replacement for it.
Peec’s current documentation describes MCP read operations and confirmed write or delete operations. Verify exact capabilities, permissions, identifiers, and error handling before using them. For teams reviewing ownership of workflow and system changes, see HubSpot systems and workflow support and CRM systems consulting.
Selection checklist and common buyer questions
- Which engines, locations, prompt volumes, projects, and brands must be tracked?
- Who consumes the reporting: an internal team, leadership, or agency clients?
- Does the team need source-level analysis, CRM-informed suggestions, or content workflow features?
- Does the selected plan include the export, Looker Studio, API, or MCP route actually required?
- Can the marketing owner and system administrator validate a representative prompt set and one reporting destination?
- Have privacy and access controls been reviewed before sending customer, CRM, or confidential data to a connector?
Do I need both tools?
Usually not for the same monitoring job. Using both may make sense when HubSpot’s in-platform workflow and Peec’s project or model coverage serve distinct needs, and the team can maintain separate measurement definitions. Avoid duplicating tracking without a clear owner and purpose.
Does HubSpot AEO require Marketing Hub?
No. HubSpot lists standalone AEO as a subscription. Marketing Hub Professional and Enterprise include AEO with additional documented features, including CRM-based prompt suggestions and blog-post generation.
Should an agency default to Peec?
Not automatically. Peec’s project-based plans and agency credit model may suit multi-client reporting, but confirm current plan terms, locations, model selection, and reporting destinations. Agency status alone is not a requirement.
Practical rule: buy for the workflow your team can operate, not a headline score. Test representative prompts, confirm plan access and data definitions, and agree on how an observation becomes reviewed work before expanding tracking.
