Maxpel is an SEO + AEO intelligence system that helps you figure out what people are searching for, what your site should answer, where your content is weak or outdated, and what you should create, improve, consolidate, or leave alone.
Maxpel analyzes a website through the combined lens of search demand, company strategy, content, technical SEO, answerability, authority, freshness, and performance.
Most SEO tools are good at finding things.
Broken links. Missing metadata. Keywords. Rankings. Content gaps. Site issues.
The harder problem is deciding what any of that means together.
Maxpel is designed to answer:
What should we actually do next, and why?
Instead of producing hundreds of disconnected warnings and content ideas, Maxpel connects evidence across the site and recommends the smallest useful action.
Maxpel connects:
- technical SEO and site crawling
- keyword and search opportunity intelligence
- ICP, positioning, and strategic context
- search intent and content ownership
- content portfolio planning
- content quality and information gain
- content freshness, decay, and lifecycle
- question discovery
- AEO answerability
- FAQ and answer-format decisions
- internal linking and consolidation
- authority and off-site intelligence
- AI search visibility
- agent readiness
- editorial workflow
- distribution strategy
- conversion paths
- search and content performance
- business-outcome learning
The goal is not to generate more recommendations.
The goal is to make better decisions.
Maxpel does not assume every opportunity requires another article.
Depending on the evidence, Maxpel can recommend:
A meaningful search or answer opportunity exists and has no suitable owner.
The correct page already exists but does not adequately serve the opportunity.
The information exists, but a reader or answer engine has to infer or assemble too much to reach the answer.
Multiple pages fragment the same intent, information, or authority.
The asset is valuable but has become stale, inaccurate, incomplete, or less competitive.
A claim or answer exists but lacks sufficient support, proof, specificity, or authority.
The page exists, but its audience, intent, or strategic role is wrong.
The information exists but the format does not fit the job, such as when an FAQ, comparison, table, implementation guide, or direct answer would serve the opportunity better.
The right content exists but site architecture or internal linking makes it difficult for users and search systems to discover its relationship to other content.
The asset is useful but needs amplification through an appropriate off-site channel rather than another on-site page.
The available evidence is not strong enough to justify a confident action.
The current asset already does its job and should be preserved and monitored.
The apparent opportunity does not justify action, or creating more content would add duplication rather than value.
Sometimes the best SEO recommendation is not to publish anything.
Maxpel separates three things that are often mixed together.
Evidence directly available from sources such as:
- crawled pages
- HTTP behavior
- metadata
- structured data
- internal links
- indexability
- Search Console
- analytics
- keyword datasets
- SERPs
- backlinks and mentions
- AI citations
- server logs
- external sources
Judgments derived from evidence, including:
- search intent
- audience relevance
- strategic fit
- likely content ownership
- answer requirements
- content roles
- opportunity relationships
- information gaps
Inference is allowed.
Pretending inference was directly observed is not.
If Maxpel does not have the evidence required to know something, it remains unknown.
Unknown search volume is not zero search volume.
Missing conversion data is not zero conversions.
Unavailable backlink data does not mean no backlinks exist.
Maxpel does not manufacture precision simply because a score would look cleaner.
Search demand alone does not determine what a company should pursue.
Maxpel incorporates strategic context such as:
- ICP
- buyer
- user
- product capabilities
- positioning
- category
- use cases
- strategic priorities
- exclusions
- business model
This context influences which opportunities matter.
A query can have attractive search demand and still be a poor opportunity if it attracts the wrong audience or pushes the company toward a category it does not want to own.
Likewise, a relatively small query can matter greatly when it is closely connected to the product, buyer, and purchase journey.
Maxpel does not treat every keyword as a separate content idea.
Keywords and queries are evidence of demand.
Maxpel groups related demand into Search Opportunities based on signals such as:
- underlying intent
- audience
- search behavior
- semantic relationship
- likely owner page
- SERP similarity
- journey stage
- strategic relevance
Opportunities are then evaluated using evidence including:
- demand
- ICP fit
- product fit
- positioning fit
- business value
- current site coverage
- authority
- competition
- attainability
- existing rankings
- content quality
- conversion relevance
This prevents a common failure mode:
keyword → blog post
A Search Opportunity may instead belong to a:
- product page
- feature page
- use-case page
- comparison
- documentation page
- integration page
- glossary entry
- FAQ
- existing article
- new article
- off-site asset
Or it may require no new content at all.
AEO starts with knowing which questions actually matter.
Maxpel does not generate an arbitrary list of plausible questions and then score them.
Questions can be discovered from multiple evidence families:
- long-tail queries
- interrogative searches
- Search Console queries
- SERP features
- related searches
- query fan-out and decomposition
- positioning
- ICP
- buyer needs
- product capabilities
- category
- use cases
- objections
- evaluation criteria
- existing pages
- headings
- FAQs
- documentation
- product explanations
- comparisons
- internal content relationships
When available:
- sales questions
- support questions
- customer interviews
- community discussions
- product feedback
- internal search
- CRM or conversation evidence
When supported by available sources:
- competitor coverage
- industry discussions
- community conversations
- third-party comparisons
- relevant publications
Every important question retains provenance.
Maxpel should be able to explain why a question exists in the analysis.
Finding an important question is only half the problem.
Maxpel determines what information is required to answer that question and evaluates whether the current site actually provides it.
Answerability can be classified as:
The site gives a clear, sufficiently complete answer in an appropriate location.
Some required information is present, but important parts of the answer are missing.
The necessary information exists, but a reader or answer engine has to assemble it from multiple sections or pages.
The site does not provide the information required to answer the question.
Relevant sources on the site provide conflicting answers.
Maxpel cannot confidently determine the answerability state from the evidence available.
These states are diagnostic, not arbitrary scores.
For example:
If the answer already exists across three documentation pages, Maxpel should not automatically recommend another blog post.
The better action may be to make the answer explicit on the correct owner page.
When Maxpel scores an AEO opportunity, the score must support a decision.
Scoring can consider dimensions such as:
- strategic importance
- evidence of audience demand
- answer completeness
- directness
- evidence strength
- source authority
- contradiction risk
- synthesis burden
- freshness requirements
- ownership clarity
The purpose of scoring is not to create an impressive-looking number.
It is to distinguish situations that require different actions.
A high-priority unanswered buyer question should not be treated the same way as a low-value informational question simply because both are technically "missing."
Every scored dimension should be traceable to evidence or a documented inference rule.
Maxpel treats pages as parts of a connected information system.
For an opportunity or question, it determines whether an existing page should own the answer before recommending something new.
Possible content roles include:
- owner page
- supporting evergreen content
- fresh or event-driven content
- FAQ
- documentation
- implementation guide
- comparison
- product page
- feature page
- use-case page
- integration page
- opinion / POV
- research
- proof and trust content
This creates a deliberate content architecture instead of an ever-growing pile of URLs.
Before recommending a new asset, Maxpel asks whether that asset needs to exist.
It checks signals such as:
- existing owner page
- intent overlap
- question overlap
- topical overlap
- information gain
- cannibalization risk
- freshness justification
- audience differences
- journey-stage differences
- format requirements
- strategic purpose
A feature page and a blog post can legitimately discuss the same subject when they perform different jobs.
Two articles answering essentially the same intent without adding meaningful information should not exist simply for freshness.
Ranking for a query is not enough reason to publish another version of what already exists.
Maxpel evaluates whether planned or existing content contributes something useful.
Possible sources of information gain include:
- proprietary product knowledge
- first-party data
- customer evidence
- original research
- benchmarks
- implementation experience
- expert opinion
- founder perspective
- original examples
- clearer explanation
- better synthesis
- stronger proof
- unique comparison criteria
Maxpel can identify content that is technically optimized but substantively weak.
When a proposed asset has no meaningful reason to exist beyond repeating what already ranks, the correct recommendation may be:
Do not publish this yet. Find a stronger angle or source of information gain.
Maxpel maintains a model of the website as a content portfolio.
For each important asset, the system can track information such as:
- URL
- page type
- content role
- topic
- pillar
- audience
- journey stage
- target intent
- Search Opportunities
- questions owned
- supporting relationships
- freshness class
- lifecycle state
- performance
- strategic importance
- internal links
- last meaningful update
This allows analysis to accumulate over time instead of treating every audit as a brand-new website.
Maxpel can use strategy, search opportunities, audience needs, current coverage, and business priorities to identify meaningful content pillars.
The purpose of a pillar is not merely to organize a blog calendar.
Pillars help determine where a company should build depth and how much attention different areas deserve.
Portfolio planning can then consider:
- strategic importance
- available search demand
- existing coverage
- buyer relevance
- product relevance
- authority gaps
- funnel coverage
- freshness requirements
- competitive opportunity
- available evidence and expertise
This can inform how future content effort should be distributed rather than treating every topic equally.
Freshness is not the same as publishing frequently.
Different subjects decay at different rates.
Maxpel distinguishes between content that is:
- stable
- periodically changing
- frequently changing
- event-driven
Freshness analysis can consider:
- factual changes
- product changes
- SERP changes
- ranking decline
- query changes
- competitor changes
- broken references
- outdated screenshots or examples
- performance decay
- changing audience expectations
Depending on the evidence, an asset can be:
- maintained
- refreshed
- expanded
- revalidated
- consolidated
- retired
- redirected
Publishing another article is only one possible response.
Not every unanswered question deserves a standalone page.
Maxpel evaluates whether an answer belongs in:
- an existing section
- FAQ
- dedicated page
- documentation
- comparison
- table
- definition
- step-by-step guide
- example
- structured data
- supporting article
The format should follow the information need rather than a fixed content template.
Internal linking is not treated as a keyword-matching exercise.
Maxpel considers relationships between:
- owner pages
- supporting pages
- Search Opportunities
- questions
- topics
- user journeys
- page authority
- navigation paths
A link should exist because the relationship helps users or search systems understand and navigate the site, not merely because two pages contain the same word.
A company does not control every source that influences search and AI discovery.
Maxpel can evaluate off-site evidence such as:
- backlinks
- brand mentions
- third-party citations
- industry publications
- comparison pages
- communities
- YouTube
- directories
- partner ecosystems
The purpose is not simply to count mentions.
Maxpel should help determine where external authority matters, which sources influence important topics, and where an off-site action is more appropriate than publishing another page.
AEO recommendations should eventually be tested against actual AI visibility.
Where data is available, Maxpel can track:
- brand mentions
- citations
- cited URLs
- answer inclusion
- source patterns
- prompt families
- persona differences
- query fan-outs
- sentiment
- competitor presence
- visibility changes over time
Different AI systems can behave differently.
Maxpel therefore treats AI visibility as observed evidence rather than assuming that one universal "LLM optimization" rule applies everywhere.
AI answer visibility and agent interaction are different problems.
Maxpel keeps Agent Readiness separate from AEO.
Agent-readiness analysis can cover signals such as:
- machine accessibility
- rendering behavior
- structured interfaces
- page stability
- interaction semantics
- bot accessibility
- authentication barriers
- relevant emerging standards
- agent-facing capabilities
Agent-related recommendations should be evidence-based.
The presence or absence of a fashionable file, protocol, or emerging standard should never become a generic ranking factor without evidence.
Strategic content work is wasted if search systems cannot reliably access and understand the site.
Maxpel analyzes technical foundations including:
- crawlability
- indexability
- redirects
- canonicalization
- robots directives
- sitemap behavior
- HTTP integrity
- duplicate URLs
- structured data
- rendering
- metadata
- internal architecture
- performance-related signals
- site scope
- first-party subdomains
Technical findings are prioritized according to their actual consequences rather than presented as an undifferentiated checklist.
Search and AI systems do not necessarily access websites in the same way.
Where relevant evidence exists, Maxpel can inspect:
- robots policies
- crawler accessibility
- bot-specific restrictions
- server responses
- rendering requirements
- response latency
- blocked resources
- retrieval failures
Server logs and direct observations are stronger evidence than assumptions about what a crawler probably did.
Good recommendations still fail if nobody acts on them.
Maxpel connects analysis to an editorial workflow such as:
Opportunity → Decision → Brief → Draft → Review → Publish → Verify → Measure → Refresh
Work can retain states such as:
- proposed
- accepted
- rejected
- briefed
- drafting
- review
- published
- verified
- monitoring
- refresh required
- retired
This turns the analysis into an operating system for search-led content rather than a report that disappears into a folder.
When creation or substantial improvement is justified, Maxpel can turn the underlying evidence into a content brief.
A brief can retain:
- target Search Opportunity
- primary question
- related questions
- audience
- intent
- journey stage
- owner URL or proposed path
- required information
- supporting evidence
- relevant internal pages
- differentiation requirements
- information-gain opportunities
- FAQ needs
- format recommendations
- strategic rationale
- expected impact
The brief inherits the reasoning that caused the recommendation.
It is not generated from a keyword in isolation.
Not every useful content asset should live only on the company website.
Depending on the purpose and audience, Maxpel can recommend distribution through channels such as:
- founder-led content
- relevant communities
- YouTube
- newsletters
- partnerships
- digital PR
- industry publications
- customer channels
The goal is not to become a social-media scheduler.
The goal is to determine when distribution, authority building, or community participation is the appropriate next action.
Traffic is not the final objective.
Maxpel connects search and content decisions to what a relevant visitor should reasonably do next.
Depending on intent, that can include:
- product discovery
- related education
- documentation
- comparison
- pricing
- signup
- demo
- trial
- newsletter
- another relevant page
Maxpel can evaluate whether the next step matches the visitor's intent rather than applying the same CTA to every page.
Rankings, traffic, and AI citations are intermediate outcomes.
Where measurement is available, Maxpel can connect content and search activity to:
- qualified traffic
- signup
- activation
- demo requests
- pipeline
- revenue
- assisted conversions
- product engagement
- other business-defined outcomes
This allows future recommendations to learn from what actually happened.
A page that attracts large amounts of irrelevant traffic should not automatically be considered more successful than a smaller page that consistently attracts the right buyer.
Maxpel is designed to improve decisions as evidence accumulates.
The loop is:
Observe → Diagnose → Decide → Act → Verify → Measure → Learn
A recommendation should not disappear after publication.
Maxpel can later evaluate:
- Was the action completed?
- Was the technical problem actually fixed?
- Did the page become answerable?
- Did rankings or impressions change?
- Did AI visibility change?
- Did conversions change?
- Did the expected outcome occur?
- Should the original reasoning be revised?
Verification is part of the system, not an optional final step.
Search performance should not require a company to sound like everyone else.
Maxpel can retain editorial context such as:
- brand voice
- terminology
- approved claims
- prohibited claims
- product language
- positioning
- proof
- audience assumptions
- competitor stance
- editorial standards
This context helps briefs and recommendations remain consistent with the actual company rather than producing generic search content.
Maxpel is not designed to be:
- a keyword-to-blog-post machine
- an AI article factory
- a generic site-audit checklist
- a collection of arbitrary 0–100 scores
- a system that recommends content simply because competitors have it
- a tool that treats every AI-search theory as fact
- a replacement for original company knowledge
- a substitute for customer evidence
- a substitute for human point of view and taste
Automation should remove repetitive analysis and operational work.
It should not manufacture the company's opinions.
Maxpel is designed for founders and small teams that need serious SEO, AEO, and search-led content judgment without assembling a full specialist team.
It is also useful for SEO, content, product marketing, and growth practitioners who want evidence-backed analysis, prioritization, and verification rather than a large checklist of generic recommendations.
A technical teammate should be able to set Maxpel up.
The people making marketing and product decisions should be able to understand why it is recommending an action.
- Evidence over assumptions.
- No invented precision.
- Unknown does not mean zero.
- Observation and inference stay separate.
- Every important recommendation should be explainable.
- Strategy influences search priorities.
- Search volume does not override product or audience relevance.
- Question importance is independent of current site coverage.
- A model reconstructing an answer does not mean the website answered it well.
- Contradictions are surfaced instead of guessed away.
- Existing strong content should not be duplicated.
- Freshness must have a reason.
- Information gain matters.
- More content is not automatically better content.
- Off-site action can be more valuable than another on-site page.
- AI visibility should be measured rather than assumed.
- Agent readiness and AEO are separate concerns.
- Business outcomes matter more than vanity metrics.
- Recommendations should be verified after execution.
- The smallest sufficient action wins.
Maxpel is source-available.
Individuals and companies may inspect, fork, modify, self-host, and use Maxpel internally.
Forks must preserve attribution to Maxpel and its original authors. Modified versions must clearly state that they have been modified.
Without separate commercial permission, Maxpel or substantial portions of it may not be:
- sold
- offered as a paid hosted or SaaS service
- white-labelled and sold to customers
- commercially redistributed
- incorporated substantially into another commercial product
Commercial rights require a separate license from the Maxpel copyright holders.
See LICENSE for the binding terms.