Answer Engine Optimization That Gets You Cited.
When a buyer asks ChatGPT, Perplexity or Gemini for a recommendation, the generative answer collapses ten blue links into a single verdict — and the buyer moves on it without ever visiting your site. Integral Labs engineers the entities, content structure and retrieval layer that put your brand inside that verdict, then measures your citation share engine by engine.
Six Workstreams. One Measurable Outcome.
AEO isn't a bolt-on analytics dashboard. It's entity precision, retrieval engineering and consensus-building — run as an engineering discipline with a monthly number attached.
AI-Visibility Audit
We run the prompt panels your buyers actually use across every major engine and document exactly where you're cited, where you're ignored, and which competitors own your category's answers. Everything is measured against this baseline.
Entity Engineering
Answer engines reason over entities, not websites. We build your canonical entity graph: Organization schema with @id interconnection, consistent NAP, alternateName hygiene, external profile alignment, and Wikidata-ready facts.
Citation-Worthy Content
We re-architect content into claim-first, quotable structures: definitive answers, concrete specifications, FAQPage schema and Q&A hubs that models can extract verbatim without ambiguity.
Technical Retrieval Layer
Server-rendered HTML that agents can fetch under latency budgets, plus the machine-readable discovery layer: llms.txt, ai.txt, and IndexNow pings to Bing — the index Perplexity and ChatGPT search lean on.
Off-Site Consensus Layer
Models borrow consensus from the places they already trust. We plan and coordinate placements across review platforms, industry roundups, directories and community answering (Reddit/Quora) so third-party sources corroborate your positioning.
Citation-Share Measurement
Monthly per-engine reporting: recommendation share across your tracked prompt portfolio, movement deltas, competitor benchmarking, and the specific fixes that produced each change. You see the channel grow, or we explain plainly why.
We Don't Sell What We Don't Run.
This very site ships the full workstation we deploy for clients — and every claim on this page is visible in the source. Ask us anything about it on the call.
- Machine-readable fact files
llms.txt + ai.txt served at the root for AI crawlers
- Ontology-grade entity graph
Organization → services → articles → case studies, linked by stable @id URIs
- Q&A extraction architecture
FAQPage + HowTo-style answers on every public page pair
- Instant Bing retrieval
IndexNow pings fire on every content publish — the index ChatGPT Search & Perplexity retrieve from
From Baseline to Compounding Citations.
Baseline audit
Prompt panels defined and run across all tracked engines. You receive your citation-share baseline and a prioritized gap list.
Entity + retrieval fixes
Schema graph upgrades, llms.txt/ai.txt deployment, retrieval-friendly rendering fixes, and citation-worthy content restructuring.
Off-site consensus
Coordinated placements on the review platforms, roundups and communities your category's answers are actually synthesized from.
Measurement & iteration
Monthly citation-share reports, new prompt tracking as your category evolves, and continuous content/entity maintenance.
Free AI-Visibility Snapshot.
Book a discovery call and mention the free snapshot. We'll run a starter prompt panel for your category across ChatGPT and Perplexity, and show you exactly where you stand today — which engines name you, which name your competitors instead, and the three fixes with the highest first-month leverage. Yours to keep whether we work together or not.
Claim Your Free SnapshotStraight Answers First.
Can you guarantee ChatGPT will recommend my business?
No — and you should distrust any agency that claims to. Nobody controls what a model says. What we do is engineer every controllable input: unambiguous entity data, retrieval-ready structure, citation-worthy content and third-party consensus — then measure your citation share against that baseline every month so the movement is visible.
Is AEO different from SEO?
They share foundations — clean crawlability, semantic HTML, authority. AEO adds what classic SEO never covered: entity precision instead of keyword strings, the off-site consensus layer models retrieve from, machine-readable discovery files (llms.txt, ai.txt), and a fundamentally different measurement model — citations in answers, not rankings on pages. Google's own guidance notes AI-search optimization is still built on SEO; we treat them as one discipline with two outputs.
Which AI engines do you track?
ChatGPT (including its web-search mode), Perplexity, Gemini, Claude, and Google's AI Overviews — each carries different retrieval behaviour: ChatGPT Search and Perplexity lean on Bing-style indexes, Perplexity additionally reads community sources, and Gemini correlates strongly with Google Business Profile data. Your tracked prompt panels cover all of them.
What does an AEO engagement cost?
It depends on market breadth, content depth and the off-site scope your category actually needs. Book a discovery call and you'll receive an exact, milestone-based engagement quote within 24 hours — no packages padded with reporting you don't need.
How long until citations appear?
The baseline audit lands in weeks 1–2, and retrieval-layer fixes (schema, llms.txt, rendering) are live within the first month. Citation movement typically becomes visible within 1–3 months and compounds as the off-site consensus layer matures — which is why we measure monthly rather than promising a single launch moment.
The AI answer for your category is being written. With you in it, or without you.
Book a discovery call — you'll get an honest read of where you stand in today's answers, plus an exact, milestone-based engagement plan within 24 hours.
Book Your Discovery Call