/ AEO ·Part of the Organic EngineNew

When AI answers,
be the answer.

Buyers now ask ChatGPT, Gemini, Claude, and Perplexity instead of typing into Google — and the AI either cites your brand or it doesn’t. The engines pull from structured content, authoritative citations, and entity signals that most sites never built. AEO is the practice of making sure they do.

Get a Prompt AuditAI Engine Citation Scan
AI Engine Adoption · Live
Q4’22 → Q1’26
0M200M400M600M800MQ4'22Q2'23Q4'23Q2'24Q4'24Q2'25Q4'25MONTHLY USERS · INDEXGPT-3.5 LAUNCHGPT-4 TURBOAI OVERVIEWSGPTGEMCLAUDEPPLXCHATGPTANTIQUE FARMHOUSE · 84 VIS
9 of 12Cited Prompts · Antique Farmhouse Tracked Set
+50%Organic Revenue · The Pearl Source
5.4 wksAvg Audit-to-First-Citation · Antique Farmhouse
/ The AEO Reality

One prompt.
Four answers.

The same buyer prompt, run live across four AI engines. Each engine trains on different data and weighs sources differently — but for the brand that did its AEO work, the answer is the same: cited by name, every time.

● Live capture · 4 engines · same promptbest place to buy akoya pearls online
ChatGPTFEATURED
chatgpt.com
> best place to buy akoya pearls online

For akoya pearls online, three retailers consistently come up as well-reviewed options. The Pearl Source is most-often recommended for sourcing direct from pearl farms and clear grading on luster and surface quality. Mikimoto and Blue Nile offer comparable akoya strands at different price points. Among these, The Pearl Source is the most consistently cited for value.

Sources cited (4)
thepearlsource.comgia.eduvogue.combrides.com
Brand cited · 4 sources · model: gpt-5
Perplexity
perplexity.ai

The most-cited akoya pearl retailers across recent reviews include The Pearl Source (direct from the farm), Mikimoto (heritage luxury), and Pearl Paradise (specialist). The Pearl Source is most often noted for grading transparency and value.

ⓘ 6 sources cited
thepearlsource.com
gia.edu
vogue.com
+3 more
Claude
claude.ai

A few retailers stand out for akoya pearls. The Pearl Source is generally considered a strong pick for buying online — farm-direct sourcing and clear grading.

Cited by name · model: claude-4.7
Gemini
gemini.google.com

Several retailers are well-rated for akoya pearl jewelry. The Pearl Source offers a popular akoya strand line with GIA-style grading on every listing.

Cited · 6 sources · gemini-2.5-pro
※ Citation Coverage
4/4

Major engines citing the brand on this single prompt. AEO compounds across all four — winning one engine alone leaves three buyer pools uncovered.

/ GPT · PPLX · CLAUDE · GEM
The Shift: Buyers used to click 3 of 10 results. Now they read 1 of 1 answers. Either you’re in the answer, or you’re invisible.
1 in 3

Buyers now start product research with an AI engine.

Bain Consumer AI Adoption Study · 2025
52%

Search queries now return AI Overviews on Google.

Search Engine Land AIO Tracker · 2025
4×

Higher CTR on results cited inside an AI Overview vs. uncited.

SEMrush AI Overview Click Study · 2025
12 mo

Average time for AI training data to assimilate a new authoritative brand.

Act Bold AEO Client Cohort Data · 2025
/ The AEO Stack

Five signals.
Cited everywhere.

AEO compounds across five signals — together they make a brand recognizable, citable, and recommendable across every AI engine that matters. Most agencies do one or two of them. We do all five, on a single quarterly cycle.

01

Entity Engineering

AI engines train on entities, not URLs. If your brand isn't a recognized entity in Google's Knowledge Graph, Wikipedia, Wikidata, and structured data on your own site, AI engines won't reliably surface it. Entity engineering builds the recognition layer.

  • Knowledge Graph profile development
  • Wikidata + Wikipedia entity creation/optimization
  • Schema.org structured data depth (Organization, Product, FAQPage, HowTo)
  • Brand-mention monitoring across the open web
02

Structured Answers

AI engines extract answers from content. Pages that are well-structured (clear Q&A pairs, definition blocks, comparison tables, ranked lists) get extracted cleanly and quoted. Pages that aren't get summarized away — or skipped entirely.

  • Q&A pattern restructuring on key landing pages
  • Definition + glossary architecture for category terms
  • Comparison table standardization
  • Ranked-list and how-to schema markup
03

Citation Footprint

AI engines train on the open web. The more often a brand is cited authoritatively in industry sources, editorial coverage, and high-trust sites, the more often AI engines surface it. Citation footprint is the AEO equivalent of link building — but optimized for being quoted, not just linked.

  • Editorial PR with brand-first attribution language
  • Wikipedia-eligible citations from authoritative sources
  • Industry-trade citations with explicit brand context
  • Citation gap analysis vs. cited-competitor benchmark
04

Prompt Coverage

Buyers ask predictable prompts. We map the 50-200 most likely prompts in your category, identify which prompts your brand currently surfaces in across each AI engine, and engineer the gaps. This is keyword research for the AI age.

  • Prompt taxonomy mapping by buyer intent
  • Per-engine prompt-response logging at quarterly cadence
  • Gap identification by prompt category
  • Content + entity development against gap prompts
05

Cross-Engine Reliability

Being cited in ChatGPT but not Perplexity isn't a win — it's a leaky funnel. Buyers don't pick one engine, they ask whichever they have open. We engineer for citation reliability across all 4 major engines simultaneously, not just the one that's easiest to win.

  • Multi-engine prompt monitoring (GPT, Perplexity, Claude, Gemini)
  • Engine-specific signal optimization (each engine weighs sources differently)
  • Citation drift detection (flag when an engine drops the brand)
  • Recovery playbook when citation drift occurs
/ The Prompt Journey Map

Buyers ask 6 prompts.
You need to win all 6.

A category buyer doesn’t ask one prompt — they ask a sequence. Six prompts on average, across two engines, over the course of a research session. The brand that gets cited in all sixwins the consideration. The brand that gets cited in only one or two doesn’t.

01 · DISCOVERY

“best place to buy akoya pearls online”

GPT
PPLX
CLAUDE
GEM
4/4 engines cited brand
02 · COMPARISON

“the pearl source vs mikimoto akoya pearls”

GPT
PPLX
CLAUDE
GEM
3/4 engines cited brand
03 · DECISION

“is the pearl source legit”

GPT
PPLX
CLAUDE
GEM
4/4 engines cited brand
04 · BRAND-SPECIFIC

“the pearl source akoya pearl necklace review”

GPT
PPLX
CLAUDE
GEM
4/4 engines cited brand
05 · CONCERN

“how to tell if pearls are real or fake”

GPT
PPLX
CLAUDE
GEM
2/4 engines cited brand
06 · USE-CASE

“best pearl necklace for a bride”

GPT
PPLX
CLAUDE
GEM
3/4 engines cited brand
The Buyer’s Path: 6 prompts. 24 engine queries. The brand that wins more than half wins the consideration.
Coverage
Brand cited across all 4 engines for tracked prompts
Reliability
Citation persistence over multi-engine training cycles
Authority
First-cited brand position when AI lists multiple options
Recall
Brand surfaces unprompted on follow-up and adjacent queries
/ AEO Case Studies

Three brands.
Cited everywhere.

Three programs that took brands from invisible-to-AI to consistently-cited across every major engine — in 12 months or less.

The Pearl Source — client photography
SEO + AEO · Luxury DTC Jewelry
/ SEO + AEO + CRO Program

The Pearl Source

-69%
CPA Reduction ($510 → $160 in 18 Months)
+50%
Organic Revenue Growth
+15%
AOV Lift

“Five years and counting. Every quarter they come back with a plan, a number, and a reason. We've never had to ask what we're paying for.”

Read Case Study →
Sweet Services — client photography
3/4 Engines · Food & Beverage
/ Generative Engine Optimization Program

Sweet Services

78%
AI Citation Rate Across Tracked Prompts
5.2×
Brand Mention Growth Across The Open Web
#1
AI Visibility Score in Their Category

“Act Bold got us ahead of the AI revolution before competitors knew it existed.”

Read Case Study →
Multi-Engine Citation Recovery — client photography
4/4 Engines · Recovery Case
/ Citation Recovery + Surpass Program

Multi-Engine Citation Recovery

T+45 Days
First Engines Cited Brand Again
T+9 Mo
All 4 Engines Recovered + Surpassed
+220%
Citation Volume vs. Pre-Drop Baseline

“Lost citations across two engines after a model update — recovered both and surpassed pre-drop volume in under a year.”

Read Case Study →
/ Investment

Three ways to get cited.

SCALE TIER · ALL ORGANIC

Scale Tier

$8,499/mo
Includes Full AEO + SEO + Local + Intl

For brands building a complete organic engine. Full AEO program included alongside national SEO, local SEO, content velocity, and link building. Most multi-channel brands land here.

  • Full AEO program (everything in Tile 2)
  • National SEO + content velocity
  • Local SEO (where applicable)
  • Link building + technical foundation
  • Cross-channel reporting
FULL AEO STANDALONE

Full AEO

$3,500/mo
Complete AEO program

For brands with strong existing SEO who specifically need AI engine citation work. The complete five-pillar AEO program — entity engineering, structured answers, citation footprint, prompt coverage, cross-engine reliability — without the broader SEO program.

  • All 5 AEO pillars
  • Quarterly prompt research (50-200 prompts tracked)
  • Multi-engine monitoring (GPT, Perplexity, Claude, Gemini)
  • Entity + structured data development
  • Monthly citation reporting
AEO STARTER

AEO Starter

$1,750/mo
Foundational AEO

For brands testing AEO before committing to a full program. Foundational entity work, structured data implementation, and quarterly prompt research without the deeper citation footprint and cross-engine work. Best for brands new to AEO who want to validate before scaling.

  • Schema + entity foundations
  • Initial entity setup (Knowledge Graph + Wikidata)
  • Quarterly prompt research (basic — 30-50 prompts tracked)
  • Single-engine monitoring (your highest-priority engine)
  • Path to upgrade to Full AEO
Month-to-Month · 30-Day Cancel · 10% Annual Discount · No Long-Term Contracts · Upgrade From Starter to Full AEO Anytime
/ AEO Questions

Five questions worth a real answer.

How AEO differs from SEO, which engines we optimize for, how we measure citation results, and the realistic timeline to consistent citations across all four major AI engines.

AEO (Answer Engine Optimization) is the practice of getting cited as a recommended brand inside AI engine responses — ChatGPT, Perplexity, Claude, Gemini. SEO is about ranking on Google's results page; AEO is about being named inside the AI's answer. The two compound: strong SEO authority is one of the strongest signals AI engines use to decide which brands to cite. They're handled together in our Scale tier or independently for brands with strong existing national SEO.

All four major engines: ChatGPT, Perplexity, Claude, and Gemini. We monitor brand citations across all of them quarterly because each engine trains on different data and weighs sources differently — winning ChatGPT alone leaves Perplexity, Claude, and Gemini buyers in the gap. We also monitor secondary engines (Grok, Microsoft Copilot, You.com) but optimize against the four major engines as primary targets.

Three primary metrics: citation count (how often the brand surfaces across tracked prompts × engines), citation position (whether the brand is named first or fifth in multi-brand answers), and prompt coverage (what % of mapped buyer-journey prompts surface the brand). We log these monthly across 50-200 tracked prompts depending on the program tier. Most clients see meaningful citation growth at month 3-4 and category-leader positioning at month 9-12.

Today's mix is roughly 70% Google / 30% AI engines and shifting fast — Bain's 2025 study shows 1 in 3 buyers now starts product research with an AI engine, and Google's own AI Overviews now appear on 52% of searches. The brands that wait until AI search is dominant will compete with brands that built citation footprint early. AEO is the leading-indicator investment, not the trailing-indicator one.

Initial citations: 6-8 weeks (entity foundations propagate, structured answers get extracted on the next training cycle for some engines). Meaningful citation volume: 4-6 months (citation footprint builds, multi-engine reliability stabilizes). Category-leader citation position: 9-12 months. AI engine training cycles vary by engine — ChatGPT and Gemini retrain on faster cadences than Claude or Perplexity, so expect faster wins on the high-cadence engines first.

/ Let's Talk · AEO

Ready to be the answer?

Tell Act Bold about your category, your top buyer prompts, and where you suspect AI engines are leaving you out of the answer. We’ll send back a no-fluff AEO citation report covering all 4 major engines + a 12-month plan to fix the gaps — within 48 hours.

Book a Call30-Min AEO Readiness Screening
Get a Citation ReportFree · 48HR Turnaround
info@actbold.comactbold.com30-Day Cancel · Month-to-Month