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AI visibility · GEO/AEO platform

Become the source
that AI cites

Enigma is a GEO/AEO platform: it prepares your content for machine extraction, governs AI agent access, and measures your presence in ChatGPT, Perplexity, Gemini and AI Overviews answers through repeated runs. That raises the odds of being cited. It is not a guarantee of inclusion.

First report when we launch No credit card
ChatGPT
Example

People phrase product decisions as questions. Your page has to answer in a form that can be verified and quoted.

"Best enterprise AI platform?"
Illustrative example · 1 / 6

Ranking first on Google is not
being present in the AI answer.

The user gets a finished answer without visiting the site. A brand can be missing from the AI answer while holding a top Google position. And AI visibility is unstable between runs — a single check will mislead you.

SERP rank and AI citation are different quantities
GEO / SEO frame

What Enigma actually does for AI visibility

Enigma pairs classic SEO foundations with GEO practice: a page has to be reachable, legible to search, structured as a set of self-contained answers, and backed by sources. That improves citation readiness — it does not guarantee inclusion [65, 68].

Short definition

Generative Engine Optimization (GEO) is the work of shaping content, structure, bot access and evidence so a generative system can correctly extract, verify and cite a page. GEO complements SEO; it does not replace crawling, indexing, quality or technical accessibility [65].

  • The first screen states the product plainly, and states its boundary: Enigma raises the odds of citation and promises no guaranteed position.
  • Content is built as answer blocks: claim, argument, evidence, and a short FAQ for the questions people actually ask next.
  • Pages carry a visible source layer, so a claim can be checked rather than merely read.
ComparisonSEO and GEO work together
AccessCrawling, indexability, canonicalAccess for AI and search agents, with no accidental blocks
StructureTitle, H1, schema, internal linksSelf-contained passages, Q&A, tables and definitions
EvidenceDomain authority and external linksSourced claims, dates, and stated limits of application
MeasurementRank, CTR, organic trafficMention, citation, absorption, and variance between runs

Does GEO guarantee a citation in AI answers?

No. GEO improves how ready a page is to be extracted and cited, but inclusion depends on the system, the query, the index, source authority and competition.

What should I check first?

Start with technical SEO: URL accessibility, canonical, robots.txt, sitemap and basic structured data. If a page is hard to fetch, no amount of GEO structure will save its visibility.

Which content extracts best?

Short blocks that open with the claim, give a clear definition, show the evidence and state the limits. Tables carry comparisons well; FAQs carry the natural follow-up questions.

How does a citation differ from a mention?

A mention means the brand appears in the answer. A citation means the answer points to a specific page as its source. GEO has to measure the two signals separately.

Sources (E-E-A-T)
65 · Google Search CentralAI features and your website: no special AI-SEO requirements beyond baseline SEO. https://developers.google.com/search/docs/appearance/ai-features
68 · Google Search CentralStructured data gives explicit clues and eligibility for rich results, but guarantees no AI inclusion. https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data
17 · Salemi et al., 2024Search for machine consumers and RAG; content has to be fit for machine consumption. https://arxiv.org/abs/2405.00175
27 · Khattab & Zaharia, 2020ColBERT: passage-level retrieval as the basis for fragment extraction. https://arxiv.org/abs/2004.12832
Enigma in practice

Stories from audits, not just theory

What we put into the product is not abstract SEO advice but the patterns that keep recurring in GEO audits: what the model saw, which source it cited, where the brand went missing, and which page has to be rewritten.

Cited definition

An Enigma field note is an anonymized audit story containing a checkable signal, the action the page owner took, and the limits of the data. The format helps people and AI understand not only what to do, but why the recommendation appeared at all.

B2B SaaS · brand visibility

The brand is mentioned, but the source belongs to someone else

In a typical B2B SaaS audit the brand shows up for a direct branded query, while comparison and buying-intent prompts lean on review sites or competitor pages. The problem is not the brand name — it is the absence of a cited methodology and a comparison of its own.

Evidence
The prompt matrix shows mentions without an owned citation; citation rows point to a third-party source as the basis of the answer.
Action
Publish a methodology page, comparison answer blocks, and an FAQ covering selection criteria.
Limitation
Client names and uplift figures are not shown without confirmed permission; impact stays N/A.
E-commerce · category intent

AI picks directories over your category pages

In e-commerce the model often cites marketplace directories, because the category page carries no short block on selection criteria, availability, returns and alternatives. The page exists — it just offers no answer-ready evidence.

Evidence
Citation context resolves to an external directory; the brand category is in the sitemap but does not cover source-authority intent.
Action
Add a buyer guide, a criteria table, a shipping and returns block, and an FAQ that matches the visible content.
Limitation
Demand estimates made without a live SEO export are labelled Estimated, never Measured.
Agency · multi-client governance

The content team and the technical team pull different levers

A recurring agency problem: an editor adds FAQs and comparisons while robots.txt, the CDN or a WAF quietly block some AI and user-requested agents. The content is citation-ready on paper and not always reachable in practice.

Evidence
The crawler checklist records the gap between the intended access policy and the rules bots actually meet.
Action
Split training crawler policy, retrieval/search access and user-triggered fetch agents into a separate decision table.
Limitation
The final policy follows the brand's legal position and should not be imposed by a template.
Research-led content · proof depth

The evidence is there, buried too deep

Research-led articles usually do have sources, but the claim, the date, the study limits and the action for the reader sit in different places. AI can lift a fragment out of context and lose the point of the recommendation.

Evidence
The content-gap audit flags long paragraphs with no opening claim and a weak link from claim to evidence.
Action
Rewrite sections as claim, argument, proof, limitation — and put a summary box ahead of the deep material.
Limitation
Where primary sources cannot be reached, the block is marked needs review rather than published as fact.
Ownership workflowHow a story becomes a backlog item
Input

URL, intent cluster, model, run date, and the visible fragment of the answer.

Evidence

Mention, citation, absorption, the cited source, a crawler finding or a content gap.

Decision

A specific page, answer block, schema, technical rule or source layer.

Guardrail

Unverified metrics stay N/A; client names are never published without permission.

AXP - ANSWER EXPERIENCE PLATFORM

Turn your pages into
sources for AI answers.

AXP prepares your pages for machine extraction: self-contained passages, explicit facts, clean structure and a separate access policy for AI agents. People still see the full site; models get the answer without the noise.

More about AXP
Readiness audit
enigmavisibility.com/resources/ai-visibility

The page as a source for retrieval

Agent accessGPTBot, Google-Extended, PerplexityBot
open
Extractable factsdefinitions, process, comparison, evidence
12 blocks
Self-contained passagesclaim + context + evidence on one screen
6 ready
Evidence gapno page describing the measurement methodology
add
AI answer evidence

What the model can use

AXP does not produce a standalone "SEO text" but an evidence package: URL, passage, fact, and the action for the content team.

Mentionthe brand appears in the short-list
Citationthe answer links to the URL
Absorptiona fact from the page shapes the argument

AI agent access map

See which crawlers and user-requested agents can fetch a page, and where robots.txt or CDN rules quietly block visibility.

Passage-ready pages

Repack key facts into short blocks with a claim, evidence and context, so retrieval never loses the point of the page.

Facts worth citing

Surface the definitions, numbers, comparisons and procedural steps an AI can not only link to but actually use in the answer.

AI MONITORING & CITATIONS

Measure AI visibility repeatedly not once

Run the same prompt clusters through ChatGPT, Perplexity, Gemini and AI Overviews. Enigma separates a plain mention from a citation and shows which pages genuinely carry the answer.

More about monitoring
Repeated prompt runs

See the spread of answers across models and dates, so no decision rests on one lucky run.

Selection vs absorption

"We were cited" and "our text shaped the answer" are different signals for a content team. Keep them apart.

A per-page action plan

Get the list of URLs, facts and topics to extend, repack or open up to agents.

Repeatable runAI visibility matrix
ChatGPTPerplexityGeminiAI Overviews
Cluster“best platform for a B2B SaaS AI visibility audit”
Prompt clusterMentionCitationInfluence
AI visibility audityes2 URLsstrong
GEO for SaaSyesnonepartial
LLM citation trackingnononenone
URL evidence
/ai-visibility-auditsupports the definition and the methodology
/resources/geo-playbookgives the steps for the content backlog
/compare/perplexitycompetitor facts still missing
1
2
3
4
5

The schematic shows the signal types: mention, citation, and the text’s influence on the answer.

Cluster mapDemand, competitors, the next page
Schematic
AI search intent
risingAI visibility auditthe buyer is looking for a diagnosis
gapLLM citation trackinga competitor is already cited
newAI bot accessa technical check of the site
Backlog from signals
Audit methodologypeople ask how AI visibility is measured
H2 + FAQ
Citation comparisona competitor has citation evidence and we lack proof
compare page
Bot access checklisttechnical prompts cannot find the access rules
guide
Every trend turns into a specific format: an FAQ, a comparison, a methodology or an evidence block.
AI SEARCH TRENDS

Build content around prompt clusters not guesswork

Group buyer questions into topics, see where competitors already land in answers, and turn rising demand into a concrete page backlog.

More about AI search trends
Question clusters

Merge the many phrasings of one intent, so you optimize a topic instead of a single keyword.

Gaps against competitors

Compare who gets mentioned, who gets cited, and which evidence AI takes from someone else’s pages.

A GEO backlog

Turn topics with real demand into pages, FAQs, comparisons and facts an AI answer can lift.

Built for enterprises
from day one

Security

  • Role-based access control
  • SSO/SAML on enterprise plans
  • A separate security review before rollout
  • Data retention policy set by contract

Scale

  • Prompt clusters per market and language
  • Scheduled repeat runs
  • Raw evidence row export
  • SLA agreed in the enterprise contract

Services

  • Content team onboarding
  • Prompt cluster setup
  • Data API integration
  • Priority support channel

When an AI summary is present, users click links less often, and a large share of searches end without a visit to the open web — the value shifts into the answer itself.

Pew Research Center, 2025; SparkToro / Datos, 2024 — panel/clickstream, market framing
Practical breakdown
⌬ The Forge
What to addFAQ + evidence
What to rewriteweak passages
What to checkbot access

What to change on your pages so AI can use your facts

DiagnosticSelection → Citation → Absorption
Page foundthe agent sees the URL
Citation unstablethe source disappears between runs
Fact unusedthe answer takes its argument from a competitor
Action: rewrite the weak passage and put the evidence beside it

Citation diagnosis: where the page gets lost

Check whether the page is found, cited, and whether its facts reach the answer. Get the exact blocks to rewrite.

PlaybookFrom prompt to task
1
Clustergroup the related questions
2
Repeatrerun across models and dates
3
Gapseparate a mention from real influence
OutputA backlog of pages, facts and FAQ blocks

Monitoring playbook: from prompt to backlog

Assemble prompt clusters, repeat the runs, compare competitors and turn the gaps into content tasks.

Earned media

Founders are already reporting AI-search traffic

Team scenarios

How teams adapt content for AI processing

“Public pages get reformatted so AI agents find the key claims more easily, without costing human readers anything.”

Scenario 1
Growth team - B2B SaaS

“Once the content is structured, the team separates assistant traffic, brand mentions and the pages answers actually cite.”

Scenario 2
Product team - AI product

“Cases, FAQs and comparisons enter the backlog as individual answer blocks, not as long pages with no measurable intent.”

Scenario 3
Revenue team - marketing
First audit

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