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Answer Engine Optimization (AEO) Services

Updated September 2026 · Written and maintained by the Progression Agency strategy team

We make businesses the source AI assistants quote, cite and recommend — and we are going to be blunt about which parts of that can be promised and which cannot.

On this page · 18 sections
  1. What is answer engine optimization?
  2. How do AI assistants actually choose what to cite?
  3. What actually improves AI visibility, and what is sold but does not work?
  4. What do you actually deliver?
  5. What problems does AEO actually solve?
  6. What does the solution look like in practice?
  7. Do the assistants behave differently from each other?
  8. Where should a business spend first?
  9. How long does AEO take to work?
  10. How is AEO measured?
  11. Which industries does this matter most for?
  12. How does AEO differ from SEO, GEO and AI SEO?
  13. What are the most common mistakes?
  14. What tools are actually used?
  15. What does AEO cost?
  16. Who is this for, and who is it not for?
  17. What is the process from first conversation to first report?
  18. Video: search, AI and measurement

The short answerAnswer engine optimization is the work of becoming the passage an AI assistant quotes when someone asks a question in your category. It shares most of its technical foundation with SEO, but the unit of success is different: not a ranking position, but being the source the answer is built from. Nobody can guarantee a mention — attribution happens inside a model no agency controls — and any provider who guarantees one is selling something they cannot deliver.

Updated September 2026. Assistant behaviour changes frequently; the platform detail on this page is re-checked quarterly and the measurement approach is designed to survive those changes.

Where the answer comes from
Directional, based on our own query sampling rather than a published study.

What is answer engine optimization?

Answer engine optimization (AEO) is the work of making a business the source an AI assistant quotes, cites and recommends when someone asks it a question, rather than the business that never comes up.

Search used to return a list of links and let the reader choose. Increasingly it returns an answer, assembled from a handful of sources, with the rest of the web invisible behind it. AEO is the practice of being among that handful. It overlaps heavily with SEO — the same crawlability, the same authority signals — but the unit of success is different. In SEO you want a position. In AEO you want to be the passage the model quotes.

The short version of what changes: a page that ranks well can still be invisible to an assistant if its answer is buried, its markup contradicts its copy, or the facts it asserts appear nowhere else. A page that ranks modestly can be cited constantly if it answers the exact question in its first sentence and publishes a number nobody else has.

How an assistant decides what to cite
You influence retrieval and ranking. You do not influence grounding or attribution directly.

How do AI assistants actually choose what to cite?

In four stages: retrieve candidate passages, rank them by how directly they answer, ground the written answer in the winners, and attribute a subset as visible citations.

You can influence the first two stages and only those. Retrieval decides whether your page is even a candidate, which is a technical and authority question. Ranking decides whether your passage beats the others, which is an editorial question about how directly you answer. Grounding and attribution happen inside the model and are not addressable, which is why anyone promising guaranteed mentions is selling something they cannot deliver.

Retrieval

The system needs to be able to fetch and parse your page. That means the crawler is not blocked, the content is present without JavaScript execution, and the page is not so slow that the fetch times out. Most failures we find at this stage are accidental.

Ranking

Passages compete. The one that states the answer plainly, early, and in language close to the question tends to win. Long preamble is the single most common reason a page that contains the answer is not the page that gets quoted.

Grounding

The model writes within the retrieved passages. If your passage is ambiguous, the answer drifts toward whichever source was clearer, even if yours was more accurate.

Attribution

Only some sources become visible citations. This is the least predictable stage and the one clients most want controlled. It cannot be.

What actually moves AI visibility
The bottom four are sold regularly. None of them works.

What actually improves AI visibility, and what is sold but does not work?

Answer-first structure, entity clarity, accurate schema, third-party corroboration and original data all move the needle. Keyword density, paid ‘AI listings’ and publishing volume do not.

The gap between those two lists is where most budget is currently wasted. There is no ad inventory inside an AI answer to buy. There is no directory that guarantees inclusion. What exists is a set of unglamorous fundamentals, most of which overlap with doing ordinary SEO properly, plus two things that are genuinely new: being unambiguous about what your organisation is, and publishing facts that only you can publish.

What the work consists of, honestly
ActivityEffortWhat it changesTypical time to show
Answer-first rewritingModerateRanking of your passage against rivals4-8 weeks
Crawler access repairLowWhether you are a candidate at allDays
Schema accuracyLowMachine confidence in what the page claims2-6 weeks
Entity definitionLowWhether assistants describe you correctly4-12 weeks
Third-party corroborationHighWhether your claims are believed3-6 months
Original data publicationHighWhether you become the quoted source2-6 months
Prompt set — Deliverable. A tracked list of the questions your buyers actually ask assistants.
Baseline report — Deliverable. Where you appear today, and who appears instead of you.
Crawler audit — Deliverable. Which AI crawlers can reach you, and which are blocked.
Schema repair — Deliverable. Structured data that matches what the page actually says.
Answer rewrites — Deliverable. Pages restructured so the answer is extractable.
Entity file — Deliverable. One canonical description of who you are and what you do.

What do you actually deliver?

Twelve deliverables across measurement, technical access, content structure, entity work and ongoing monitoring — listed in full rather than described as a package.

AEO is sold vaguely more often than not, so here is the specific list. Everything below is a thing you receive, not a thing we do invisibly.

Corroboration plan — Deliverable. Where else the same facts about you need to appear.
Original data — Deliverable. Numbers only you can publish, so you become the source.
Monitoring — Deliverable. Monthly re-measurement against the same prompt set.
Accuracy log — Deliverable. What assistants get wrong about you, and the fix.
Competitor tracking — Deliverable. Who is gaining share of voice, and on what.
Quarterly review — Deliverable. What changed in assistant behaviour and what it means.

Want to know where you stand today?

We will run a baseline against your real buyer questions and show you who is being cited instead of you.

Request an AEO baseline

Not appearing — Problem. Assistants name competitors and never you.
Wrong facts — Problem. The answer about you is out of date or simply incorrect.
No attribution — Problem. Your content is used but never credited or linked.
Blocked crawlers — Problem. Your robots rules exclude the systems doing the reading.
Buried answers — Problem. The answer exists but sits under 600 words of preamble.
No entity — Problem. Nothing on your site states plainly what you are.

What problems does AEO actually solve?

Six recurring ones: invisibility, inaccuracy, uncredited use, blocked access, buried answers and an undefined entity.

Clients usually arrive with the first of those and discover one of the others is the real cause. The most common single finding in a baseline is not that the content is weak — it is that the crawler was blocked, or the answer was on page four of the document.

Be the source — Solution. Publish the number the answer needs to quote.
Answer first — Solution. Lead every section with the answer, then explain.
Match the schema — Solution. Structured data that agrees with the visible page.
Open the gates — Solution. Allow the crawlers you actually want reading you.
State the entity — Solution. One unambiguous description, repeated consistently.
Corroborate — Solution. The same facts, verifiable somewhere that is not your site.

What does the solution look like in practice?

Be the source, answer first, make the schema agree with the page, open the right crawler access, state the entity plainly, and get the same facts corroborated elsewhere.

None of this is exotic. It is the discipline of writing things down precisely and making them machine-legible, applied to the questions your buyers actually ask.

Coverage by assistant
Relative emphasis, 1 = low and 3 = high. Behaviour changes; re-check quarterly.

Do the assistants behave differently from each other?

Yes, enough that a single approach underperforms. Perplexity cites heavily and fetches live; Google AI Overviews leans on its own index; ChatGPT mixes live fetch with training data; Copilot sits close to Bing.

The practical consequence is that freshness matters more for the live-fetching systems and index presence matters more for the Google surface. A brand that is well corroborated across third-party sources tends to do better on the ones leaning on training data, because that is where the corroboration ends up.

ChatGPT

Mixes live browsing with model knowledge. Entity clarity matters disproportionately because much of what it ‘knows’ about you predates any change you make this quarter.

Perplexity

The most citation-dense of the major assistants and the most responsive to fresh, well-structured pages. Often the first place a change becomes visible.

Google AI Overviews

Draws on the search index, so conventional SEO health is close to a prerequisite. If you do not rank, you are rarely in the overview.

Microsoft Copilot

Close to Bing’s index and behaviour. Frequently overlooked, and frequently the cheapest incremental visibility available because fewer competitors optimise for it.

Claude and others

Less consistent live retrieval, heavier reliance on what is already known. Corroboration and entity work matter more here than page-level changes.

Where to spend first
Volume publishing is the expensive quadrant nobody wants to hear about.

Where should a business spend first?

Crawler access and answer-first rewriting, in that order. Both are cheap, both are fast, and together they resolve most cases of total invisibility.

Original data has the highest return and the highest cost, which makes it a second-phase decision rather than a starting point. Publishing volume sits in the expensive, low-return quadrant and is the thing most agencies sell first because it is the easiest to bill.

  1. Confirm the AI crawlers you want can reach the pages you care about.
  2. Rewrite the top twenty commercial pages so each answers its question in the first sentence.
  3. Make structured data agree with the visible copy on those pages.
  4. Write one canonical entity description and use it everywhere without variation.
  5. Fix any factual errors assistants currently state about you.
  6. Get the three claims that matter most corroborated somewhere independent.
  7. Publish one number nobody else has.
  8. Re-measure the same prompt set and compare.
A realistic first ninety days
Ninety days is a measurement cycle, not a guarantee of citations.

How long does AEO take to work?

Technical fixes show within days to a few weeks. Structural content changes show across one to two months. Corroboration and original-data work take three to six months.

Ninety days is the right first horizon because it is long enough for a measurable change and short enough to act on. Anyone quoting a fortnight is describing a crawler fix; anyone quoting a year is describing a retainer.

What changes when, and how you would know
ChangeFirst visibleHow it is detectedConfidence
Crawler access opened2-10 daysAI crawler hits in server logsHigh
Answer-first rewrite3-8 weeksPassage quoted in assistant answersModerate
Schema corrected2-6 weeksRicher, more accurate descriptions of youModerate
Entity description fixed4-12 weeksAssistants describe you correctlyModerate
Corroboration built3-6 monthsMentions rise across assistants togetherLower
Original data published2-6 monthsYou are quoted as the sourceModerate
What we measure
Six numbers. Reported monthly, same prompt set each time.

Want this done for your site?We build and maintain the search, content and paid programmes described on this page.

Get a free proposal

How is AEO measured?

Against a fixed prompt set, monthly: mention rate, citation rate, share of voice, referral sessions and answer accuracy.

The prompt set is the important part and the part most often skipped. Keywords are the wrong unit — nobody types ‘aeo agency’ into an assistant, they ask who can help them get mentioned by ChatGPT. We build a list of the questions your buyers actually ask, in their words, and track the same list every month so movement means something.

Mention rate

The share of tracked prompts where your brand is named at all. The blunt measure, and the one that moves first.

Citation rate

The share where you are named and linked. Lower than mention rate, always, and the number that correlates with referral traffic.

Share of voice

Your mentions against a named competitor set on the same prompts. Protects against feeling good about a rising tide.

Referral sessions

Assistant traffic arriving in analytics. Small in absolute terms for most businesses today, and growing.

Answer accuracy

Whether what assistants say about you is true. Sometimes the whole brief: a confident wrong answer costs more than absence.

Competitor movement

Who is gaining, on which prompts, and what they changed.

See the six numbers for your brand

A baseline report covers all of them, against your prompt set rather than a generic one.

Get the baseline

SaaS — Industry. Comparison and alternatives prompts dominate.
Professional services — Industry. 'Who should I hire' prompts, heavy on location.
Healthcare — Industry. Accuracy matters more than visibility; errors are costly.
Ecommerce — Industry. Product and comparison prompts, often brand-versus-brand.
B2B manufacturing — Industry. Specification prompts where being the source wins.
Legal — Industry. Jurisdiction-specific answers; generic content never cited.

Which industries does this matter most for?

Any category where buyers research before contacting anyone — which now includes almost all considered purchases, professional services and B2B.

The pattern that predicts value is not industry so much as question density: if your buyers ask questions before they shortlist, assistants are answering those questions today, and the answer either includes you or does not.

Financial services — Industry. Regulated claims; corroboration is the whole game.
Real estate — Industry. Local prompts, highly sensitive to entity clarity.
Home services — Industry. 'Near me' prompts resolved from local signals.
Education — Industry. Explanatory prompts; the best explanation gets cited.
Hospitality — Industry. Recommendation prompts driven by third-party corroboration.
Nonprofit — Industry. Mission and impact prompts; original data is scarce and valuable.

Where it matters least

Impulse retail, pure local convenience purchases, and categories bought on price alone see little from AEO today. We would rather say that than sell it to everyone.

How does AEO differ from SEO, GEO and AI SEO?

SEO competes for a position in a list. AEO competes to be the quoted passage in an answer. GEO is largely the same practice under a different name. ‘AI SEO’ is a marketing label rather than a distinct discipline.

The terminology is genuinely unsettled and that suits agencies who want to sell the same work three times. Our position: generative engine optimization and answer engine optimization describe substantially the same set of activities, with AEO emphasising direct question-answering and GEO emphasising presence in generated summaries. If a provider bills them separately, ask what differs in the deliverables.

The terms, and what actually separates them
TermCompetes forPrimary unitGenuinely different?
SEOA ranking positionThe pageYes — different success condition
AEOBeing the quoted answerThe passageYes — different success condition
GEOPresence in generated summariesThe passageMostly overlaps with AEO
AI SEOUndefined, varies by vendorVariesNo — a label, not a method
LLM optimizationBeing retrievable by modelsThe passageOverlaps with AEO
Digital PRThird-party corroborationThe mentionNo — an input to AEO

AEO versus SEO

Not alternatives. Assistants that lean on a search index cannot cite a page that does not rank, so SEO remains a prerequisite for part of the surface. The addition is structural: the answer has to be extractable, not merely present.

AEO versus GEO

Largely the same work. We publish under both names because buyers search both, and we would rather be honest that the deliverables overlap than invent a distinction.

AEO versus digital PR

Digital PR produces the third-party corroboration AEO depends on. It is a component, not a competitor.

Agency versus in-house

In-house wins when the technical work is small and the subject expertise is deep. An agency earns its place on measurement infrastructure and on the corroboration work, which is slow and relationship-driven.

Buying listings — Mistake. There is no ad slot inside an AI answer to buy.
Chasing volume — Mistake. More pages does not mean more citations.
Schema theatre — Mistake. Markup that contradicts the page is worse than none.
Ignoring accuracy — Mistake. A confident wrong answer about you costs more than absence.
One-off audits — Mistake. Assistant behaviour shifts; a single snapshot expires.
Guaranteeing mentions — Mistake. Nobody can guarantee what a model will say.

What are the most common mistakes?

Buying listings that do not exist, chasing publishing volume, marking up pages with schema that contradicts them, ignoring accuracy, auditing once, and promising guaranteed mentions.

We have seen each of these sold at a professional price. The guarantee is the one to walk away from fastest: attribution happens inside a model nobody outside the vendor controls.

The assistants, side by side
AssistantHow it sourcesCitation densityWhat moves it fastest
ChatGPTLive browsing plus model knowledgeModerateEntity clarity and corroboration
PerplexityLive fetch, search-ledHighFresh, well-structured pages
Google AI OverviewsGoogle’s own indexModerateConventional ranking health
Microsoft CopilotBing index, live fetchHighBing indexation and structure
ClaudeMostly prior knowledgeLowCorroboration on independent sources
Meta AIMixed, limited citationLowThird-party presence
Server logs — Tool. The only unarguable record of which crawlers visited.
Analytics referrals — Tool. Assistant referral traffic, where it is passed through.
Prompt tracking — Tool. Repeated sampling of the same question set.
Schema validators — Tool. Confirms the markup parses and matches the page.
Rendering checks — Tool. What a crawler sees when JavaScript does not run.
Brand monitoring — Tool. Third-party mentions that feed corroboration.

What tools are actually used?

Server logs, analytics referrals, repeated prompt sampling, schema validation, rendering checks and brand monitoring. No single platform covers it.

Server logs are the only unarguable evidence that a given AI crawler reached a given page, and they are the first thing we ask for. Everything else is inference.

What does AEO cost?

A baseline audit runs in the low thousands. Ongoing work is a monthly retainer scaled to how many pages need restructuring and whether corroboration work is included.

We will not publish a single number because the range is genuine: a twelve-page site with clean technical foundations is a different engagement from a two-thousand-page site with blocked crawlers and contradictory schema. What we will commit to is that the pricing logic is the same as the rest of our work — scope-based, no long lock-in, and the deliverable list above is what you are buying.

  • Baseline audit: one-off, covers prompt set, current visibility and technical findings.
  • Implementation: scoped to the number of pages that need restructuring.
  • Corroboration: priced separately because it is relationship work with an uncertain timeline.
  • Monitoring: monthly, fixed, includes the six numbers and competitor movement.
  • Original data: project-priced, because the research design differs every time.

Who is this for, and who is it not for?

It is for businesses whose buyers research before they shortlist. It is not for impulse retail, pure price-driven categories, or anyone expecting a guarantee.

The honest disqualifier: if nobody asks an assistant anything before buying from you, the work will not pay for itself yet. We would rather establish that in a baseline than in month six.

Good fit

  • Considered B2B purchases with a research phase
  • Professional services chosen on expertise
  • SaaS competing on comparison and alternatives prompts
  • Regulated categories where accuracy about you matters
  • Businesses already investing in content that is not being cited

Poor fit today

  • Impulse or convenience retail
  • Categories bought purely on lowest price
  • Businesses expecting guaranteed AI mentions
  • Sites unwilling to change page structure

What is the process from first conversation to first report?

Six steps across roughly ninety days: scope, baseline, technical repair, content restructuring, entity and corroboration work, then re-measurement.

The order matters. Restructuring content before confirming crawler access wastes the restructuring, and measuring before a baseline leaves nothing to compare against.

  1. Scope call: what you sell, who buys it, and what they ask before buying.
  2. Prompt set construction: sixty to two hundred real questions, agreed with you.
  3. Baseline measurement: where you appear now, and who appears instead.
  4. Technical repair: crawler access, rendering, schema accuracy.
  5. Content restructuring: answer-first rewriting of the pages that should be cited.
  6. Entity and corroboration: one canonical description, corroborated independently.
  7. Original data, where justified: the number that makes you the source.
  8. Re-measurement and report: the same prompt set, the six numbers, what moved.

Start with the baseline

Before committing to any programme, see where you stand against your own buyer questions.

Talk to us about AEO

Video: search, AI and measurement

Background viewing on search and measurement. The AEO material on this page is written out in full above; these are context rather than the answer to anything here.

Getting found in search

AI, AEO and what is changing

Paid media and lead generation

Websites and design

Choosing and working with an agency

Social, content and brand

By industry and by situation

Frequently asked questions

What is answer engine optimization in one sentence?
Making your business the source an AI assistant quotes and cites when someone asks it a question in your category.
Is AEO the same as SEO?
No. SEO competes for a position in a list of links; AEO competes to be the passage quoted inside an answer. They share most of the technical foundation, which is why doing SEO badly makes AEO harder.
Is AEO the same as GEO?
Substantially. Generative engine optimization and answer engine optimization describe largely the same activities. We publish under both names because buyers search both terms.
Is ‘AI SEO’ a real thing?
It is a label rather than a distinct method. Ask any provider using it what differs in the deliverables from ordinary AEO; if nothing does, you are paying for the name.
Can you guarantee my brand will be mentioned by ChatGPT?
No, and nobody can. Attribution happens inside a model that no agency controls. What can be committed to is the work that measurably raises the probability, and honest measurement of whether it did.
How long before I see results?
Crawler fixes show in days. Answer-first rewrites show in roughly four to eight weeks. Corroboration and original-data work take three to six months.
What does it cost?
A baseline audit runs in the low thousands; ongoing work is a monthly retainer scaled to the number of pages needing restructuring and whether corroboration is included.
Do I need to rebuild my website?
Almost never. Most of the work is restructuring the content within existing pages and correcting markup, not rebuilding templates.
Which AI assistants does this cover?
ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot and Claude, plus whichever others are relevant to your buyers. Behaviour differs enough between them that we measure each separately.
Why does ChatGPT recommend my competitor and not me?
Usually one of three reasons: your pages are not retrievable, your answer is buried below preamble, or your competitor’s claims are corroborated somewhere independent and yours are not.
Why does an assistant say something wrong about my company?
Because the model learned it from stale or incorrect sources. Fixing it means correcting the record where the model is likely to look, which is slower than editing your own site.
Can I do AEO myself?
The technical portion, yes, if you have developer access. The corroboration work and the measurement infrastructure are where most in-house teams stall.
Do I need original research?
Not to start. It is the highest-return activity and also the most expensive, so it belongs in phase two rather than phase one.
Does schema markup still matter?
Yes, when it agrees with the visible page. Markup that contradicts the copy is worse than no markup, because it undermines machine confidence in everything else on the page.
Should I block AI crawlers?
That is a business decision, not a technical one. Blocking protects content from being used without credit; it also guarantees you are not cited. Most businesses selling something want to be found.
What is llms.txt and do I need it?
A proposed file for declaring content to AI systems. Adoption is limited and it is not a ranking factor. Low cost to add, low expected return; do the crawler rules first.
How do you measure AI visibility?
Against a fixed set of real buyer questions, monthly: mention rate, citation rate, share of voice, referral sessions and answer accuracy.
What is a prompt set?
The list of questions your buyers actually ask assistants, written in their words rather than as keywords. It is the measurement baseline and it stays fixed so month-to-month movement means something.
How many prompts should be tracked?
Between sixty and two hundred for most businesses. Fewer than sixty is too noisy; more than two hundred adds cost without changing decisions.
Will AEO increase my website traffic?
Sometimes, and less than people expect today. Assistant referral volumes are still small for most categories. The stronger case is influence: being the source shapes the buyer before they ever click.
Is AI going to kill SEO traffic?
It is compressing informational traffic and leaving commercial traffic largely intact so far. The sensible response is to protect the commercial pages and stop relying on top-of-funnel volume.
Does content volume help?
No. Volume without specificity is the most expensive way to fail at this. One page that is genuinely the best answer beats fifty that restate the consensus.
Can I pay for placement in an AI answer?
There is no ad inventory inside the answer to buy today. Anyone selling it is selling something else.
What industries benefit most?
Considered B2B purchases, professional services, SaaS, regulated categories and anything where buyers research before shortlisting.
Does this work for local businesses?
Yes for service businesses people research first. Less so for pure convenience purchases, where the assistant answers from map data rather than from your content.
How is this different from digital PR?
Digital PR produces the third-party corroboration that AEO depends on. It is a component of the work, not an alternative to it.
Do I need to be on Reddit and forums?
Often yes, and not by astroturfing. Community sources are heavily represented in assistant answers, so genuine participation and accurate information there is worth more than most link building.
What happens if I do nothing?
Your category still gets answered. The answer names whoever did do the work, and that answer is what your buyer reads before they ever reach a search results page.
Who do you work with?
Businesses across the United States, from our base in New York City. The work is not geographically constrained.
How do we start?
With a baseline. We build the prompt set, measure where you stand, and show you who is being cited instead of you. What follows is scoped from what that finds.
Can you fix incorrect information about my business?
Often, though it is slower than people expect. It means correcting the sources the model is likely to read, then waiting for that to propagate.
Do you work alongside our existing SEO team?
Yes, and it is usually the better arrangement. Much of the technical work overlaps with theirs, and duplicating it wastes money.

Sources and further reading

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  2. Google: creating helpful, reliable, people-first content
  3. Google: intro to structured data
  4. Google: LocalBusiness structured data
  5. Google: FAQPage structured data
  6. Google: Article structured data
  7. Google: Product structured data
  8. Google: title links in search results
  9. Google: control your snippets
  10. Google: robots.txt introduction
  11. Google: sitemaps overview
  12. Google: consolidate duplicate URLs
  13. Google: redirects and Search
  14. Google: JavaScript SEO basics
  15. Google: multi-regional and multilingual sites
  16. Google Search Central Blog
  17. Google: get started with Search Console
  18. Google: how local search results are determined
  19. Google Business Profile: prohibited and restricted content
  20. Google Business Profile: address and service area guidelines
  21. Google Business Profile: review policy
  22. Google Business Profile: add or edit categories
  23. Google Ads: location targeting settings
  24. Google Ads: about negative keywords
  25. Google Ads: about Quality Score
  26. Google Ads: importing offline conversions
  27. Google Ads: about Smart Bidding
  28. Google Ads: about Performance Max
  29. Google Local Services Ads: eligibility and screening
  30. Google Ads: keyword match types
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  32. Google Analytics 4: attribution models
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  38. NJ Department of Labor: labor market information
  39. New Jersey Business Action Center
  40. US Small Business Administration: New Jersey district
  41. USA.gov: business resources
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  43. web.dev: Largest Contentful Paint
  44. web.dev: Cumulative Layout Shift
  45. web.dev: Interaction to Next Paint
  46. Google PageSpeed Insights
  47. Google Rich Results Test
  48. Google Search Console
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  51. Schema.org: Service type
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  71. TikTok Transparency Center
  72. TikTok Creator Portal
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  74. TikTok for Developers
  75. TikTok advertising solutions
  76. TikTok Creator Marketplace
  77. TikTok Business Center
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  80. TikTok Branded Content policy
  81. TikTok Shop for sellers
  82. Instagram for Business
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  85. About Instagram
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  88. Meta Transparency Center
  89. About Meta
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  91. YouTube Creators
  92. YouTube Official Blog
  93. YouTube Shorts help
  94. How YouTube Works
  95. YouTube Studio
  96. LinkedIn Marketing Solutions
  97. LinkedIn Help
  98. Pinterest Business
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  100. Snapchat for Business
  101. X for Business
  102. Reddit communities
  103. Reddit for Business Help
  104. ASCAP
  105. BMI
  106. SESAC
  107. Global Music Rights
  108. PRS for Music (UK)
  109. PPL (UK)
  110. SOCAN (Canada)
  111. APRA AMCOS (Australia)
  112. GEMA (Germany)
  113. SACEM (France)
  114. SIAE (Italy)
  115. JASRAC (Japan)
  116. IFPI
  117. RIAA
  118. National Music Publishers Association
  119. Harry Fox Agency
  120. SoundExchange
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  122. Epidemic Sound
  123. Artlist
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  125. PremiumBeat
  126. AudioJungle
  127. Free Music Archive
  128. Creative Commons
  129. Incompetech
  130. FTC: advertising and marketing
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  132. FTC: endorsement guides
  133. FTC: consumer reviews rule
  134. FTC: advertising FAQs
  135. US Copyright Office
  136. US Copyright Office: DMCA
  137. US Copyright Office: music FAQ
  138. US Copyright Office: fair use FAQ
  139. USPTO: trademarks
  140. UK Advertising Standards Authority
  141. ACCC (Australia)
  142. Competition Bureau Canada
  143. GDPR overview
  144. California Consumer Privacy Act
  145. COPPA
  146. FTC: children’s privacy
  147. W3C Web Accessibility Initiative
  148. W3C: WCAG
  149. W3C: captions
  150. W3C: making audio and video accessible
  151. ADA.gov
  152. WebAIM
  153. Epilepsy Foundation
  154. Pew Research: internet and technology
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  206. Teosto (Finland)
  207. Koda (Denmark)
  208. TONO (Norway)
  209. IMRO (Ireland)
  210. SGAE (Spain)
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Want this done for your site?We build and maintain the search, content and paid programmes described on this page.

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Also calledAI SEO agency, AI SEO services, AI search optimization, answer engine optimization, AEO. The labels differ by who is speaking; the work is substantially the same. If you arrived searching for an AI SEO agency rather than an AEO agency, this is the page you wanted.

Is an AI SEO agency the same as an AEO agency?

In practice, yes. AI SEO, answer engine optimization, generative engine optimization and LLM SEO all describe making a business findable and quotable in AI-mediated search. The terminology is unsettled because the discipline is about two years old.

This matters commercially only because it makes comparison harder. Two agencies can describe identical work under different names, and a third can describe something much narrower under the same name as the first two. The way through it is to ignore the label entirely and ask what is actually delivered: will they read your server logs, will they render your templates without JavaScript, what will they measure before starting, and how often afterwards.

We use answer engine optimization as the primary term on this page because it is the most precise — the work is about being the answer. But AI SEO is the phrase more buyers type, and if that is what you searched for, nothing about the engagement changes.

What does an AI SEO agency actually do differently from a traditional SEO agency?

It adds four things to conventional SEO rather than replacing it: crawler access for a second set of bots, rendering that survives without JavaScript, passage-level structure so answers can be extracted, and a measurement method that samples prompts instead of checking rankings.

A second set of crawlers

GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, Google-Extended, ClaudeBot. Conventional SEO never had to think about these, and blocking them by accident is the most common failure we find.

Stricter rendering requirements

Google renders JavaScript reasonably well. Many AI crawlers execute little or none, so a rendering fault that costs a little in Google costs everything here.

Passage-level structure

Retrieval selects passages, not pages. Sections have to answer their own heading immediately and stand alone when lifted out of context.

Entity consistency

One canonical description of the business everywhere. Three different self-descriptions produce three different answers, and you do not get to choose which one is repeated.

Corroboration over links

What other sources say about you carries weight directly, not only through link equity.

Prompt-set measurement

A fixed list of prompts re-run unchanged. Rankings do not exist inside an assistant's answer, so ranking reports are the wrong instrument.

What does an AI SEO service cost, and how is it scoped?

Like a technical audit plus an editorial programme: scoped by template count and by how many commercial pages need restructuring, not by a per-keyword rate. The audit portion is fixed scope and runs in one to two weeks once we have logs and staging access.

Be careful comparing quotes across this category, because the same words cover very different products. Some AI SEO services are a subscription to a visibility dashboard. Some are a content retainer with AI in the name. Ask which one is being sold before comparing the numbers.

How do you choose between AI SEO companies?

Ask for the server logs. It is the one artefact that settles whether anyone has actually looked at your site, and a provider who does not want them is not checking the only thing that can be checked.

After that: which crawler user agents will they test by name, will they render your templates without JavaScript and show you the output, what will they measure before starting, and what will they not claim. A provider who says they can influence every AI surface equally is overselling — the surfaces behave differently and an honest answer says so.

The same work under different names

TermWho uses itWhat it emphasises
AI SEOMost buyersContinuity with SEO they already understand
Answer engine optimization (AEO)Agencies and practitionersBeing the answer, not the link
Generative engine optimization (GEO)Academic and vendor writingThe generative surface
LLM SEOTechnical teamsThe model and retrieval layer
AI search optimizationEnterprise and analyst writingThe search surface specifically
AI visibilityMeasurement vendorsThe outcome rather than the method

Frequently asked questions

What is an AI SEO agency?

An agency that makes a business findable and quotable in AI-mediated search. It is the same discipline as answer engine optimization; the label differs by who is speaking.

Is AI SEO the same as AEO?

Substantially, yes. AI SEO, AEO, GEO and LLM SEO describe the same body of work under four labels. Compare what is delivered rather than what it is called.

What do AI SEO services include?

Crawler access auditing from server logs, rendering checks without JavaScript, answer-first restructuring, entity consistency, and measurement against a fixed prompt set.

How much do AI SEO services cost?

Scoped by template count and how many commercial pages need restructuring, not by keyword count. The audit portion is fixed scope.

How do AI SEO companies differ from each other?

More than the name suggests. Some sell a visibility dashboard subscription, some sell a content retainer, some do the technical work. Ask which before comparing prices.

How do I choose an AI SEO agency?

Ask whether they want your server logs. It is the single question that separates people doing the work from people describing it.

Is AI SEO replacing traditional SEO?

No. AI search surfaces draw on a web index, so conventional SEO is a dependency. AI SEO adds to it rather than replacing it.

What is an AI search optimization service?

The same work again, under the label enterprise and analyst writing tends to use. It emphasises the search surface specifically.

Do I need an AI SEO consultant or an agency?

A consultant if you need direction and have a team to execute. An agency if the implementation has to happen too. The technical work usually needs developer access either way.

How long before AI SEO produces results?

Crawler access changes show in logs within days, structural changes over weeks, and citation frequency over months. Anyone promising faster is describing something they do not control.

Can small businesses use AI SEO?

Often to greater effect than large ones. A small technical surface can be made completely correct, and retrieval rewards specificity rather than size.

What should an AI SEO report contain?

Technical measures from logs and rendering, reported separately from visibility measures sampled against a fixed prompt set. Merging the two is how weak programmes hide.

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