a zine about getting found — issue 01
filed under: home / services / answer engine optimization

AI SEARCH + ANSWER-READY CONTENT + VERIFIABLE AUTHORITY

Answer EngineOptimization.

A managed service for brands that need to be understood, cited and chosen across AI search, without abandoning the SEO foundation that makes those answers discoverable.

  • Direct with Dima
  • Google + AI search
  • No citation guarantees

AEO Cost.

One-time projects or monthly support.
Prices in USD. Work directly with Dima.

ONE-TIME PROJECT

AI Visibility Audit

 

$100

USD / audit

10 prompts + 2 AI platforms + 1 test run

  • Brand mentions + cited sources
  • 5 prioritized recommendations
Discuss this service
Full scope & exclusions

A small, dated snapshot of how AI answers describe your business.

  • One test run of up to 10 agreed prompts on 2 available AI-search platforms
  • Record of brand mentions, cited URLs and up to 3 named competitors
  • A short findings document with 5 prioritized recommendations

One brand, one website, one language and one market. This is an indicative spot check, not a statistically stable visibility score or full GEO audit. No ongoing tracking, paid tool access, log analysis, technical audit, implementation or guaranteed citations. Platform, date and test conditions recorded; unavailable answers marked unavailable.

One snapshot and written handover, not a subscription.

ONE-TIME PROJECT

SEO Audit & Strategy

 

$1,500

USD / project

500-URL crawl + 20-page manual review

  • Prioritized 90-day roadmap
  • Competitor review + walkthrough
Discuss this service
Full scope & exclusions

Find the constraints and leave with a prioritized implementation plan.

  • Technical crawl, indexation, content and internal-link review
  • Keyword-to-page opportunity map and comparison with up to 3 competitors
  • Prioritized 90-day roadmap, implementation ownership and a 60-minute walkthrough

One website, one language and one target market; crawl up to 500 URLs and manually review up to 20 priority pages across 5 templates. One consolidated clarification round. Development, content production and implementation excluded.

One audit and strategy project; larger or JavaScript-heavy sites scoped separately.

MONTHLY SUPPORT

SEO & AI Search

From

$5,000

USD / month

Up to 4 content pages + 5 technical tickets / month

  • SEO + AI-search implementation
  • Monthly reporting + 2 strategy calls
Discuss this service
Full scope & exclusions

An ongoing roadmap with implementation and measurable search outcomes.

  • Technical priorities, keyword research and commercial-page optimization
  • Up to 4 new or substantially rewritten pages per month, up to 1,500 words each
  • Internal linking, entity and structured-data improvements on the agreed pages
  • A baseline panel of up to 25 AI-search prompts, monthly performance report and 2 strategy calls

Starting scope: one website up to 1,000 indexable URLs, one language and one target market. Up to 10 priority pages and 5 defined technical tickets per month; content pages count within the 10-page limit. Major development, migrations, translation, specialist review, paid placements and external software subscriptions excluded. Outreach is separately scoped, not an unlimited link quota.

Monthly delivery plan agreed in writing; additional markets or production increase the quote.

Scope and applicable taxes confirmed before work starts. External fees are not automatically included. No rankings, leads or AI citations are guaranteed.

DIRECT ANSWER

What are answer engine optimization services?

An answer engine optimization service improves the probability that a brand is discovered, understood, verified and used when an AI system creates a direct answer. The program combines prompt research, entity mapping, technical foundations, structured content, markup, authority development and cross-platform measurement. It works across Google AI features, OpenAI search, Perplexity, Gemini, featured snippets and other answer-first experiences.

This work is not a replacement for search engine optimization. Answer engines still need accessible pages, clear internal relationships, credible sources and a trusted digital presence. The difference is the output being measured: SEO measures ranking and clicks, while the answer layer also tracks mentions, references, accuracy and visibility in AI search. The same page must serve a buyer first and remain easy for an information retrieval system to interpret.

01 / WHEN TO INVEST

When AEO strategies become commercial work.

The right time is when AI answers influence a real research or purchase journey. This service is not useful as a one-query stunt or a replacement for fixing an unindexable website.

01

AI answers omit the brand

Competitors are named or cited for commercial questions while your company is absent, misclassified or described with outdated facts.

02

Rankings no longer tell the full story

Pages rank in traditional search results, but buyers can complete research inside an AI answer without visiting the usual blue links.

03

Content cannot be extracted cleanly

Important answers are buried in long introductions, inconsistent terminology, client-side rendering or pages with weak information architecture.

04

The team cannot measure AI visibility

ChatGPT screenshots appear in Slack, but there is no fixed prompt set, competitor baseline, referral segment or conversion attribution.

02 / FULL SERVICE

Eight accountable AEO services.

The program joins research, implementation and reporting. Monitoring alone can show that the brand is absent; it cannot change the website, evidence or third-party sources causing the gap.

01

AI visibility audit

Benchmark priority prompts across ChatGPT, Perplexity, Gemini and Google AI features. Record references, mentions, accuracy, competitors and the source pages each system uses.

02

Question and entity map

Connect buyer questions, products, people, locations, proof and related concepts to one controlled page architecture instead of publishing isolated FAQ fragments.

03

Answer-ready content

Rewrite priority passages with the direct answer first, explicit entity naming, evidence, useful detail and a next step that still works when the passage is read alone.

04

Technical AEO

Check indexability, server-rendered text, internal links, canonical URLs, crawler access, page experience, semantic HTML and source discoverability.

05

Structured data

Implement relevant Organization, Person, Service, Product, Article and breadcrumb markup that matches visible content. Schema clarifies facts; it does not manufacture authority.

06

Authority and corroboration

Build credible mentions, expert contributions, first-party research and links from sources a buyer might actually use. Off-page agreement helps systems verify important claims.

07

Platform-specific tests

Test how the same topic behaves across retrieval-based answers, Google AI features, conversational follow-ups, featured snippets and voice-search surfaces.

08

Answer reporting

Track source share, named mentions, source URLs, answer accuracy, AI referrals, assisted conversions and organic performance against a fixed baseline.

03 / HOW ANSWER ENGINES WORK

How answer engines and AI models use four layers.

Different AI models use different retrieval and generation systems, but a durable strategy controls the layers the brand can actually influence.

DISCOVER

Can the source be found?

The page must be crawlable, indexable, linked internally and available as meaningful text. Important facts hidden behind client-side interactions or isolated URLs create an avoidable retrieval problem.

UNDERSTAND

Is the entity unambiguous?

Names, services, locations, people and relationships should stay consistent across the website and credible external profiles. Machine-readable markup supports this conceptual model when it matches the visible page.

VERIFY

Can the claim be corroborated?

First-hand evidence, named authors, customer proof, original research and independent mentions help an AI system compare a claim with other information. Authority cannot be added with markup alone.

USE

Can the passage answer directly?

A strong section begins with the answer, defines the subject and adds enough context to stand alone. Structured content makes extraction easier without reducing the page to robotic keyword repetition.

04 / SEO + ANSWERS

Traditional SEO and AEO: different outputs, shared foundation.

Unlike traditional SEO reporting, AEO performance cannot be reduced to one average position. AEO focuses on answer use and attribution, but SEO and AEO should share one evidence base instead of running as competing programs.

DIMENSIONSEOANSWER
Primary outcomeSearch engine results + clickMention, reference + action
Research unitQuery and SERPPrompt, follow-up + sources
Content unitPageSelf-contained passage
AuthorityLinks + brand signalsCorroboration + cited sources
MeasurementRankings, clicks, revenueShare, accuracy, references, revenue

05 / PLATFORM COVERAGE

Coverage across AI search platforms.

There is no single universal AI ranking. Answer engines are tested separately, while the website, entity and authority work remains coordinated.

GOOGLE

AI Overviews + AI Mode

Indexed, snippet-eligible pages and established SEO fundamentals remain the base. Search Console and Analytics provide part of the performance picture, while prompt observation records the visible source set.

Track: supporting links, query clusters, clicks
OPENAI

ChatGPT search

Commercial and comparison prompts are tested with consistent wording and conditions. I review named brands, cited pages, factual accuracy, follow-up behavior and whether the answer sends a useful referral path.

Track: mentions, references, referrals, assisted leads
PERPLEXITY

Retrieval-led answers

Source selection is visible enough to diagnose page and third-party gaps. Testing separates a brand mention from a source link and checks which competitors or publishers repeatedly own the source set.

Track: source share, domains, sentiment
GEMINI + COPILOT

Additional buyer surfaces

Coverage depends on the client audience and market. The prompt set expands only when the platform is relevant, so reporting does not become a large dashboard of channels nobody uses.

Track: presence, accuracy, useful commercial actions

PRACTICAL SCOPE

What AEO requires beyond AI tools.

AEO strategies optimize content, technical access, authority and measurement as one system. Software can expose a gap, but a leading answer engine optimization program still needs people to decide what the brand can prove and how the website should change.

AI-POWERED SEARCH

Optimize useful answers, not model bait.

AI search optimization begins with real buyer intent. Pages should directly answer the question, use explicit entities and support each important claim. This AEO optimization improves retrieval in AI-driven search without publishing thin AI-generated summaries.

SEARCH FEATURES

Keep snippets and voice in scope.

Voice search optimization and featured snippet work use the same clear definitions, steps and concise facts. These surfaces are not identical to generative answers, but they reward content that answer engines can interpret and use quickly.

TECHNICAL FOUNDATION

Make AI engines reach the evidence.

AI search engines cannot use a critical passage they cannot access. Rendering, indexing, canonicalization, internal links and page speed remain part of the work, just as they do in enterprise SEO and established SEO services.

MARKETING SYSTEM

Join SEO agencies, PR and content.

Traditional SEO focuses on rankings, while content optimization makes the answer easier to use. The digital marketing agency, SEO and content marketing team, public relations specialists, product experts and analytics owners should share one entity model and one evidence standard.

AEO ensures clarity, not control.AI optimization can improve retrievability and trust signals; it cannot force an AI answer, guarantee the highest answer or lock a permanent position in AI search results.

06 / IMPLEMENTATION

A three-month AEO roadmap.

The first three months establish a baseline, implement priority improvements and compare the results to decide what to do next.

Month 1

Foundation and baseline

Build the prompt set, competitor and source baseline, entity map, technical review and commercial page architecture. Verify that critical content is present in HTML and accessible to the crawlers relevant to each target surface.

  • AI visibility and accuracy baseline
  • Question, entity and page map
  • Prioritized technical and content backlog
Month 2

Answers and authority

Rebuild priority pages into atomic answer sections, align machine-readable facts with visible facts, strengthen author and methodology signals, and begin targeted authority work around claims worth corroborating.

  • Rewritten commercial answer blocks
  • Validated schema and internal links
  • Source, outreach and authority plan
Month 3

Measure and reinforce

Retest the controlled prompt set, compare references and sentiment, review AI referral paths and Search Console movement, then reinforce pages and sources showing early retrieval or ranking signals.

  • Cross-platform visibility report
  • Loss, gain and accuracy log
  • Next 90-day AEO roadmap

07 / FIRST-HAND EVIDENCE

AI search strategy with a measurable organic baseline.

An early-stage AI startup in the mental-health space needed SEO and GEO direction across the US, UK, Canada and Australia. I built the complete strategy and worked with the client team to implement it in full from February through April 2026. Every planned page was created and published during the engagement.

AI STARTUP · YMYL HEALTH

28x 28-day non-branded clicks.

After the completed rollout, manually corrected equal GSC windows moved from 277 to 7,767 clicks and 41,790 to 281,799 impressions.

This is observational evidence of the integrated search program, not proof that one AEO tactic caused every movement or that a model citation is guaranteed.

6.7x
28-day impressions
28x
28-day clicks
4
target markets
Open the full case →
Google Search Console comparison showing AI-classified non-branded growth for an AI mental-health startup
GSC comparison before manual brand cleanup; corrected case metrics use the audited totals.

08 / PERFORMANCE

Measure AEO performance and AI search visibility.

A useful report records the query conditions and source evidence. It does not turn a volatile answer into a permanent rank.

VISIBILITY

Where the brand appears.

Named mentions, source URLs, competitor share and answer-surface coverage across the agreed AI platforms.

QUALITY

How the brand is described.

Accuracy, product fit, sentiment, outdated claims, missing qualifiers and whether the answer uses the intended entity.

COMMERCIAL

What happens afterward.

AI referral traffic, landing paths, conversions, self-reported attribution and assisted revenue alongside organic results.

BASELINESHIP LOGRETESTBUSINESS IMPACT

09 / ENGAGEMENT MODEL

Consulting, implementation or full-service AEO.

The right format depends on the team already in place. Scope is defined after the baseline, not sold as a universal monthly package.

How much does the service cost?

Price depends on prompt volume, markets, pages, competitors, platforms and who implements the work. After the initial review, the proposal states the tracked surfaces, deliverables, ownership, cadence and limitations. I do not sell a generic assistant-ranking package because no company controls the answer engine.

10 / BUYER CHECKLIST

How to choose an answer engine optimization agency.

The best answer engine optimization agencies should make their methodology and limits easy to inspect. Lists of top answer engine optimization companies can help build a shortlist, but the operating model matters more than the label. An AEO company should prove its process before you change a current organic contract.

  • Baseline: Will the agency document prompts, platforms, competitors and current sources before editing?
  • Execution: Do they implement technical, content and markup changes, or only provide a visibility dashboard?
  • Authority: Is off-page corroboration part of the roadmap without spam or manufactured consensus?
  • Measurement: Do they track accuracy, references, referrals and conversions, not just a proprietary score?
  • Integration: Can the work strengthen editorial content and organic search instead of creating a parallel content factory?
  • Limits: Will they state clearly that no agency can guarantee a permanent answer or specific AI ranking?

PRIMARY-SOURCE CHECK

No special schema gets you into Google’s AI Overviews.

Google states that normal SEO fundamentals remain relevant for its AI features, that eligible pages must be indexed and snippet-ready, and that there is no special schema required for inclusion. It also requires structured data to represent visible content. Those constraints are built into this process.

Read Google’s AI features guidance · Read the markup guidelines

11 / FAQ

AEO questions, answered directly.

Visible answers and FAQ schema use the same text. Nothing is added to structured data that a reader cannot inspect here.

What are answer engine optimization services?
Answer engine optimization services make a brand easier for AI-powered answer systems to discover, understand, verify and cite. The work normally combines a prompt baseline, question and entity mapping, answer-ready content, technical SEO, relevant markup, authority building and cross-platform reporting. A useful engagement improves the same evidence base used by customers, search engines and AI assistants; it does not rely on a secret markup tag or guaranteed placement.
What does AEO do?
Answer optimization improves how clearly a website answers buyer questions and how consistently the wider web supports those answers. It makes key passages self-contained, aligns brand and product entities, removes crawl or rendering barriers, adds appropriate schema markup and earns credible third-party corroboration. The goal is stronger presence inside AI answers, featured snippets and other answer-first experiences while preserving classic organic performance and a useful human reading experience.
How is AEO different from traditional SEO?
Traditional SEO prioritizes rankings and clicks from a results page. The answer layer focuses on whether an engine can retrieve, understand and use the brand as part of a direct response. The disciplines overlap: both need crawlability, useful content, authority and clear site architecture. This layer adds prompt-level research, extractable answer passages, entity consistency, source monitoring and measurement across AI platforms. It should extend the organic strategy, not replace it.
What is the difference between AEO and GEO?
AEO and generative engine optimization overlap, but the emphasis differs. AEO works at the question and answer level: direct passages, snippets, structured facts and retrieval. GEO works more broadly on whether a brand is represented, cited and recommended across generative systems. In practice, page-level AEO and brand-level GEO share the same technical, content and authority foundation, so I normally plan them together and report their different outcomes separately.
Can AEO help my brand appear in ChatGPT and Perplexity answers?
The work can improve the conditions that make a brand retrievable and citable in systems like ChatGPT and Perplexity, but no consultant can guarantee a specific answer or permanent inclusion. The process identifies prompts and sources, fixes access and content structure, strengthens factual consistency, and builds authority around the claims buyers care about. Progress is measured across a repeatable prompt set because individual outputs can vary by model, location, session and date.
Does AEO require a lot of new content?
Not always. Many websites first need better structure and stronger evidence on pages they already have. Existing service pages, documentation, case studies, product pages and articles can be rewritten into direct-answer blocks, connected through internal links and supported with matching markup. New content is justified when a valuable buyer question has no complete destination, when a missing comparison blocks a decision or when first-party research can create a source others will reference.
How long does answer engine optimization take?
Initial technical and content changes can be shipped within the first month, but measurable progress usually requires several months. Live-retrieval systems may reflect a recrawled page sooner, while authority, corroboration and repeated source patterns take longer. Timing depends on the current website, implementation speed, competition and the sources each platform trusts. I set a baseline first, report early movement honestly and do not present one favorable screenshot as a durable result.
How much do AEO services cost?
Cost depends on the number of markets, products, prompts, pages, competitors, platforms and implementation responsibilities. A review and roadmap costs less than an end-to-end service that includes content rebuilding, markup, outreach and ongoing measurement. I scope the work after reviewing the website and current answer presence. The proposal states the tracked surfaces, monthly outputs, owners and reporting method rather than pricing an undefined promise to rank in one assistant.
How do you measure AEO success?
I measure a fixed set of outcomes: citation share across tracked prompts, named brand mentions, source URLs, answer accuracy, sentiment, competitor presence, AI referral sessions, assisted conversions and organic search performance. The prompt set and testing conditions are documented so month-to-month comparisons remain useful. Google AI features are also reviewed through Search Console and Analytics where the available reporting allows it. Visibility is connected to commercial actions rather than treated as a standalone vanity score.
What role do schema and structured data play?
Schema and structured data help machines interpret explicit facts and relationships, but they are only one layer of the program. Markup should identify the real organization, person, service, product, article or breadcrumb represented on the visible page. It cannot compensate for thin content, weak authority or contradictory information elsewhere. Google requires structured data to match visible content, so I validate both the syntax and the underlying factual consistency before treating implementation as complete.
Can an AEO agency work with our existing SEO or content team?
Yes. The program often works best as a specialist layer inside an existing marketing system. I can run the review, define the prompt and entity model, produce content patterns, write developer tickets, review implementation and own measurement while an internal SEO, content, PR or engineering team handles publishing. Responsibilities and approval gates are agreed at the start so the work does not create duplicate briefs, conflicting markup or a second reporting system nobody trusts.
How should I choose an answer optimization agency?
Choose a partner that can show a documented baseline, separate implementation from monitoring, explain technical and off-page work, and connect visibility to business outcomes. Ask which prompts and platforms will be tracked, who edits the website, how claims are verified, what appears in the report and what the agency refuses to guarantee. The right partner should strengthen organic quality rather than sell placements, automate mass FAQ pages or hide behind a proprietary score.

START WITH THE BASELINE

Find where AI answers leave you out.

Send the website, target market and the questions buyers ask before choosing you. I will review the current search foundation and show whether the next move is AEO, GEO, technical SEO or better evidence.

  • Prompt + competitor gap
  • Page and source priorities
  • Clear implementation route
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