Every company’s pageant are showing up in AI-generated answers, alternatively do marketers know which ones, for which queries, and why? That’s exactly what AEO competitor research is designed to tell teams.

Answer engines like ChatGPT, Perplexity, and Google’s AI Overviews don’t rank pages. They cite assets. That shift changes the entire thing about how competitive visibility works. A brand can cling a top-three herbal ranking and however be completely absent from the AI answer a prospect reads first.

If producers don’t appear to be tracking who’s earning those citations and the best way, they’re making content material subject matter and search engine marketing possible choices without section the picture. This data walks by way of learn the way to run an AEO competitor analysis from scratch — what to measure, which apparatus to use, and learn the way to turn findings into content material subject matter that closes the gap.

Table of Contents

• What’s AEO competitor research?
• Why AEO Competitor Research Issues Now
• Run an AEO Competitor Research Step through Step
• AEO Competitor Research Equipment and Workflows
• AEO Competitor Research Metrics and Dashboards
• Flip AEO Competitor Insights Into Movements
• Ceaselessly Requested Questions About AEO Competitor Research

What’s AEO competitor analysis?

AEO competitor analysis is the process of working out which producers, pages, and assets answer engines cite in AI-generated responses — and benchmarking a brand’s private visibility towards pageant all over those same queries.

“AEO” stands for Resolution Engine Optimization: the apply of structuring content material subject matter so that AI platforms like ChatGPT, Perplexity, Google’s AI Overviews, and Gemini ground it as a trusted answer.

AEO competitor analysis extends that apply outward — instead of selling teams merely optimizing their own content material subject matter, they’re systematically tracking who else the engines are bringing up, why, and what gaps they can close.

I’ve found out that teams frequently confuse AEO with conventional search engine optimization aggressive analysis. The vital factor difference: Typical search engine marketing competitor analysis tracks keyword rankings and oneway links. AEO competitor analysis tracks citation frequency, answer proportion, entity coverage, and QA content material subject matter depth all over AI-generated answers. The units of size are different given that underlying competition is different — marketers and search engine marketing leaders don’t appear to be preventing for a rank position, they’re preventing to be the availability an LLM trusts.

HubSpot AEO helps marketers track how their brand turns out all over answer engines, showing which turns on cite pageant instead and where they’re completely absent, so teams can benchmark visibility towards competition in a single view.

Why AEO Competitor Analysis Problems Now

Emerging channels would possibly need front-running adopters.

Resolution engine seek isn’t a longer term trend, so stop thinking about that means. It’s a gift channel with accelerating adoption. In step with Seek Engine Land, 58.5% of U.S. Google searches and 59.7% of EU searches result in 0 clicks. Within the interim, ChatGPT has surpassed 900 million weekly energetic customers.

Teams that assemble AEO size and content material subject matter infrastructure now are putting in citation authority forward of utmost pageant have even started tracking it.

I’ve spoken with search engine marketing leaders who handle AI visibility as a “wait and see” channel. My revel in has taught me that’s a mistake. Citation patterns in LLMs tend to be sticky — once a kind friends a brand with authority on a topic, that association persists all over queries and sort updates.

AI answers compress typical SERPs.

Google’s AI Overviews push herbal blue links further down the internet web page, frequently underneath the fold. For high-intent queries — “what’s the perfect CRM for startups,” “how do I calculate purchaser lifetime value” — the AI answer is the SERP finish consequence for plenty of consumers. If a competitor is consistently cited within the ones answers and a brand isn’t, that brand is effectively invisible for those queries, irrespective of its rankings.

Visibility shifts to citations, entities, and QA patterns.

Typical search rewards pages. Answer engines reward entities and answers. Answer engines assessment content material subject matter based on:

• Citation frequency. How frequently is a brand or URL cited for a given topic set?
• Entity coverage. Does the content material subject matter clearly decide what the emblem is, what it does, and who it serves?
• QA depth. Does the content material subject matter right away and completely answer the questions consumers are in truth asking?

Competitor analysis in this environment approach working out no longer merely what a brand’s competition are publishing, alternatively how their content material subject matter is structured and why LLMs adore it.

HubSpot AEO breaks down which domains, content material subject matter types, and assets answer engines are bringing up most frequently, giving marketers clear belief into what content material subject matter is in recent times most popular and what they want to create or optimize to improve visibility.

Affect on pipeline impact, reinforce deflection, and brand authority.

AEO visibility has a downstream business affect previous guests. Producers that appear constantly in AI answers for buying-stage queries — “highest [category] device,” “how to select a [tool],” “[brand A] vs [brand B]” — impact gain possible choices forward of a prospect ever visits a internet web page.

Teams tracking AEO competitor data are also the use of it to identify reinforce and product FAQ possible choices, deflecting inbound questions by way of proudly proudly owning AI-generated answers to common purchaser issues.

HubSpot AEO and AEO options in Advertising Hub Professional and Endeavor provide a prioritized tick list of tips based on visibility and citation data, serving to teams turn competitor insights into a clear plan for improving their presence in AI-generated answers.

Run an AEO Competitor Analysis Step by way of Step

Step 1: Collect priority questions that answer engines will have to resolve.

Get began by way of construction a query set, which is a expert tick list of questions your target audience asks that answer engines are much more likely to resolve with a generated answer. The ones should span:

• Awareness-stage questions – “What’s [category]?” / “How does [process] artwork?”
• Consideration-stage questions – “Easiest imaginable [tool type] for [use case]” / “[Brand A] vs [Brand B].”
• Selection-stage questions – “How so much does [product] worth?” / “Is [brand] right kind for [company type]?”
• Fortify and FAQ questions – Common issues customers search for after gain.

Skilled tip: Pull questions from the present keyword research, purchaser reinforce tickets, product sales identify transcripts, and “Other folks Moreover Ask” packing containers in Google. Marketers want 30 to 100 queries all over their core topic clusters to get a statistically important view of answer proportion. For HubSpot consumers, built-in AEO options in Promoting Hub Skilled and Undertaking suggest turns on to track based on its knowledge of their business and customers.

Step 2: Check out queries all over chatbots and AI Overviews.

Run each and every query manually or with an AEO device all over a couple of answer engines: ChatGPT, Perplexity, Google AI Overviews, and Gemini. File:

• Which assets are cited (URLs and domain names).
• Which producers are mentioned by way of identify (even with out a citation link).
• The development and construction of the answer (tick list, paragraph, table, step-by-step).
• Whether or not or no longer your brand turns out the least bit.

At scale, that’s the position AEO apparatus become essential — information checking out all over 50+ queries on 4 platforms isn’t sustainable. On the other hand I love to counsel starting with information checking out for a brand’s height 10 to 15 queries. It builds intuition for why positive content material subject matter gets cited that dashboards alone received’t get a hold of.

With HubSpot AEO, marketers can robotically track turns on all over ChatGPT, Perplexity, and Gemini, seeing which responses cite their brand, which cite pageant, and the best way visibility changes over time without information checking out.

Step 3: Extract cited assets and entities.

For each and every query in a suite, file each cited provide and named entity. Marketers are construction a map of:

• Which competitor domains are most frequently cited (citation frequency by way of house).
• Which explicit pages or content material subject matter types win citations (blog posts, documentation, landing pages, research studies).
• Which entities are constantly mentioned (brand names, product names, people, organizations).

Seek for patterns. If a competitor’s blog constantly gets cited while their product pages don’t, that tells marketers something about what content material subject matter construction LLMs need. If an instantaneous competitor is appearing for their core queries, that’s a brand spanking new competitive risk worth tracking.

Step 4: Map pageant by way of topic cluster and answer proportion.

With citation data accrued, marketers should organize it by way of topic cluster — no longer just by competitor. Calculate a rough answer proportion for each and every brand: the share of queries in a topic cluster where that brand is cited.

This map reveals two problems:

1. Where pageant dominate. Subject clusters where a rival has a over the top answer proportion, and you have low or none — the ones are priority hollow areas.
2. Where the sector is open. Subject clusters where no brand dominates — the ones represent fast-mover possible choices where robust content material subject matter would possibly briefly decide citation authority.

Proper right here’s an example of an AEO competitor analysis chart:

Step 5: Diagnose why pageant win.

That’s the step most teams skip — and it’s necessarily essentially the most valuable. Don’t merely determine that a competitor wins citations. Diagnose why.

For each and every competitor internet web page that constantly earns citations, analyze:

• Content material subject matter construction. Is it a listicle, a long-form data, a FAQ internet web page, a comparison article?
• QA development. Does the internet web page right away answer the question inside the first 1–2 sentences, then provide supporting part?
• Entity clarity. Does the internet web page clearly state what the emblem/product/topic is, who it’s for, and what drawback it solves?
• Freshness. When was the content material subject matter ultimate up-to-the-minute? LLMs frequently need no longer too way back up-to-the-minute content material subject matter for fast-moving topics.
• Schema markup. Does the internet web page use FAQ, HowTo, or other structured data?
• Backlink authority. Is the internet web page well-cited by way of other authoritative assets?

What I like: Necessarily essentially the most actionable diagnostic question is: “If I have been a language sort making an attempt to answer this question, would this internet web page give me a clear, trustworthy, whole answer?” That framing cuts by way of numerous the complexity.

AEO in HubSpot Advertising Hub generates prioritized, plain-language tips with clear next steps, serving to teams switch from belief to movement. Teams get valuable insights inside the interface they already know.

AEO Competitor Analysis Apparatus and Workflows

1. HubSpot AEO

HubSpot AEO supplies marketers a clear view of the way their brand is showing up all over primary answer engines, like ChatGPT, Perplexity, and Gemini. It tracks proportion of voice at the prompt level, showing exactly which turns on cite a brand, which cite pageant, and where a brand is completely absent. As an alternative of requiring AEO revel in, it translates sophisticated visibility data into plain-language insights that teams can act on in an instant.

The device moreover connects that visibility data to a concrete method. Marketers can track priority turns on, analyze which assets and content material subject matter types AI engines cite, and determine where pageant are gaining proportion of voice. From there, HubSpot AEO generates prioritized tips with clear next steps, serving to teams switch from “we’re no longer showing up” to a defined plan for improving visibility.

What I like: HubSpot AEO doesn’t merely ground gaps — it shows marketers exactly the position they’re losing ground to pageant and offers a prioritized, plain-language movement plan they can use immediately.

Easiest imaginable for: Marketers who desire a rapid, in the market solution to know how their brand shows up in AI-generated answers and get a clear movement plan.

2. HubSpot AEO Options in Advertising Hub

AEO choices in Promoting Hub Skilled and Undertaking give marketers a clear view of the way their brand turns out all over answer engines. Markteres can also get a technique for improving visibility and the apparatus to put in force it — all in one end-to-end gadget.

Because it’s connected to HubSpot CRM, the Promoting Hub robotically suggests necessarily essentially the most similar turns on based on a company’s industries, pageant, and purchaser segments, making insights further explicit and actionable from day one. Tips moreover get sharper over time as further CRM data informs the gadget.

HubSpot AEO surfaces visibility gaps all over turns on and pageant, tracks answer proportion characteristics over time, and connects AI visibility data to the touch and pipeline reporting in HubSpot CRM — so marketers can tie AEO potency to precise business effects, no longer merely impressions.

What I like: Teams with a couple of hubs can take AEO concepts from Promoting Hub and put in force them in Content material subject matter Hub. When the AEO device surfaces a gap, marketers can brief and publish new content material subject matter.

Easiest imaginable for: Promoting teams that wish to connect AI visibility insights right away to execution the use of their CRM data and provide promoting workflows.

3. HubSpot AEO Grader

HubSpot AEO Grader benchmarks answer engine visibility by way of measuring how frequently a brand turns out in AI-generated answers relative to pageant. It supplies teams a snapshot of their proportion of voice all over key turns on, in conjunction with belief into how their brand is being represented within the ones answers. This makes it more uncomplicated to grab no longer merely whether or not or no longer a brand is visible, alternatively how it compares in competitive contexts.

The device acts as an get right of entry to stage into AEO by way of helping marketers briefly assess where they stand and determine whether or not or no longer visibility gaps exist. From that initial benchmark, teams can start to understand which questions topic most for their business and where they’re going to want to improve their presence in AI-generated responses.

AEO Grader is also completely free, making it a truly absolute best position to start out for marketers merely dipping their toes into AEO.

What I like: It provides a handy guide a rough, low-friction solution to know how frequently a brand turns out in AI answers and how it stacks up towards pageant, without requiring any setup or prior AEO revel in.

Easiest imaginable for: Marketers benchmarking AI visibility across the funnel.

4. Perplexity

Running priority queries right away in Perplexity supplies marketers a handy guide a rough, free view into what assets are being cited and the best way answers are structured. Perplexity shows citations inline, making it easy to identify which competitor URLs are earning placement.

Skilled tip: Use Perplexity’s “Point of interest” modes (Web, Tutorial, Writing) to test how answer assets vary by way of query context.

Easiest imaginable for: Speedy qualitative spot-checks.

5. ChatGPT with Browse

ChatGPT’s browsing mode surfaces citations for provide queries. It’s specifically useful for checking out consideration-stage and comparison queries (“highest X for Y” formats), where brand mentions in AI answers have the easiest gain impact.

Easiest imaginable for: Testing conversational and mid-funnel queries.

6. Ahrefs

Typical search engine marketing apparatus keep valuable for diagnosing why positive pages earn AI citations — backlink authority, on-page optimization, and topical authority signs all contribute to LLM citation patterns.

Use Ahrefs to audit competitor pages that constantly earn citations, and determine the search engine marketing parts that may be reinforcing their AI visibility.

Easiest imaginable for: Pairing typical search engine marketing data with AEO insights.

7. BrightEdge or Conductor

Undertaking search engine marketing platforms are beginning to add AI Overview and answer engine tracking choices. The ones are highest fitted to very large teams managing plenty of topic clusters that need computerized citation monitoring and executive-ready reporting.

Easiest imaginable for: Undertaking teams running AEO at scale.

AEO Competitor Analysis Metrics and Dashboards

Measure answer proportion and citation frequency.

Answer proportion is the foundational AEO metric: the share of queries in a defined set where a brand is cited inside the AI-generated answer. It’s the AEO equivalent of herbal market proportion.

Observe answer proportion at 3 levels:

• Overall. During a whole query set.
• By means of topic cluster. To identify where a brand is winning and losing.
• Through the years. To measure whether or not or no longer content material subject matter investments are improving visibility.

Citation frequency is the raw depend at the back of answer proportion — how over and over again a site or URL is cited across the query set. Most sensible citation frequency on a small number of pages would possibly indicate over-reliance on a few content material subject matter assets; huge citation frequency all over many pages signs robust topical authority.

Observe entity coverage and QA depth.

Entity coverage measures whether or not or no longer a brand, product, and key topics are explicitly identified and similar correctly by way of answer engines. Check out this by way of asking LLMs right away: “What’s [your brand]?” / “What does [your brand] do?” / “Who uses [your product]?” If answers are difficult to understand, incomplete, or unsuitable, marketers have an entity clarity drawback that may suppress citations all over their whole query set.

QA depth measures how completely a brand’s content material subject matter answers the best questions in its query set. Ranking competitor content material subject matter and your own on a simple rubric:

• Does the internet web page answer the question right away inside the opening section?
• Does it duvet the question comprehensively (in conjunction with follow-up questions and edge cases)?
• Is the answer structured for easy extraction (headers, bullets, numbered steps)?

Connect AI answer visibility to conversions.

The hardest — and most important — AEO size drawback is connecting AI visibility to the pipeline. I love to counsel a multi-touch approach:

• UTM tracking on cited URLs. Make certain that all high-priority content material subject matter assets have UTM parameters so teams can track guests from AI-referred clicks in HubSpot or GA4.
• Self-reported attribution. Add “How did you concentrate about us?” fields to bureaucracy and track “AI search” or “ChatGPT/Perplexity” as a provide risk. This captures influenced pipeline that under no circumstances generates a tracked click on on.
• Dark social monitoring. Observe branded search amount and direct guests characteristics in parallel with AEO investments — AI answer visibility frequently drives brand searches that convert by way of direct channels.

Skilled tip: In HubSpot, create a custom designed contact property for AI-attributed first touch. Through the years, this builds a dataset that correlates AEO content material subject matter investments with precise contact and deal creation.

AEO in HubSpot Promoting Hub Skilled and Undertaking connects AI visibility tracking to CRM data, making it possible to tie answer engine potency to contacts, pipeline, and profits within the an identical reporting gadget.

Turn AEO Competitor Insights Into Actions

Once your analysis is whole, translate findings proper right into a prioritized movement tick list. Listed below are the most typical and highest-impact actions I’ve noticed AEO competitor analysis ground:

• Create direct-answer content material subject matter for high-gap queries. If a competitor earns citations on 8 out of 10 queries in a topic cluster and likewise you earn 0, the fastest path to ultimate that hollow is publishing purpose-built QA content material subject matter that right away answers those questions — structured with a clear question since the H2, an instantaneous answer inside the first 1–2 sentences, and supporting part underneath.
• Exchange and restructure provide pages. Many citation wins come from reformatting provide content material subject matter quite than rising new content material subject matter. Add direct answers, FAQ sections with schema markup, and clearer entity statements to pages which can be already indexed and authoritative.
• Assemble entity disambiguation content material subject matter. If LLMs give incomplete or inaccurate answers about your brand, publish an authoritative “About” or “What’s [Brand]?” internet web page with structured entity wisdom. Reinforce entity signs all over your site and in third-party assets (Wikipedia, Crunchbase, press coverage).
• Prioritize topic clusters where answer proportion is low alternatively competitor content material subject matter is susceptible. Now not each hollow requires competing with a dominant rival. Seek for clusters where no competitor has robust AEO content material subject matter — those are the fastest paths to putting in first-mover citation authority.
• Add comparison and “highest for” content material subject matter. Comparison queries (“X vs. Y,” “highest [tool] for [use case]”) are high-intent and frequently responded by way of LLMs. If pageant are winning the ones queries and likewise you’re no longer, comparison content material subject matter is a high-priority hollow to close.
• Beef up inner linking between high-performing and low-performing pages. LLMs index topical authority signs all over a site. Pages that aren’t earning citations would possibly benefit from stronger connections to your most-cited content material subject matter.
• Post up-to-the-minute content material subject matter to Google for re-indexing. For pages you’ve up-to-the-minute to improve QA depth or entity clarity, use Google Search Console to request re-indexing so up-to-the-minute signs are picked up briefly.
• Observe changes at per 30 days sessions. AEO competitive dynamics shift as pageant publish new content material subject matter and as LLMs substitute. Assemble a per 30 days cadence of running your priority query set and updating your answer proportion benchmarks.

Perpetually Asked Questions About AEO Competitor Analysis

How frequently should you run AEO competitor analysis?

I love to counsel a whole AEO competitor analysis — running all of your query set, documenting citations, and updating benchmarks — on a per 30 days cadence for plenty of teams.

For competitive markets or all the way through vigorous content material subject matter campaigns, biweekly monitoring of top-priority query clusters is definitely well worth the investment. By contrast to traditional search engine marketing rankings, which substitute steadily, AI citation patterns can shift meaningfully after a competitor publishes new content material subject matter or after a kind substitute — so commonplace snapshots are vital to find changes.

How do you function pipeline affect from AI answers?

Pipeline attribution for AI answers requires a mixture of methods on account of AI-generated answers don’t all the time generate trackable clicks.

Use UTM-tagged URLs on cited content material subject matter to clutch direct referral guests, add answer engines as a self-reported attribution risk on bureaucracy and in product sales conversations, and apply branded search and direct guests characteristics as a proxy for AI-influenced awareness.

In HubSpot, custom designed contact properties and deal provide fields let you assemble a longitudinal view of an AI-attributed pipeline over time. Within HubSpot Promoting Hub, marketers can use CRM data, custom designed properties, and reporting apparatus to track AI-influenced contacts and assemble a clearer view of the way AEO contributes to pipeline over time.

What’s probably the most most straightforward tactics to development QA content material subject matter for LLM citations?

The content material subject matter construction most constantly cited by way of LLMs is the direct-answer development: the target question turns out verbatim (or near-verbatim) as an H2 or H3 heading; the main 1–3 sentences provide a whole, direct respond to that question; supporting part, examples, and nuance stick with in clearly organized subsections.

FAQ schema markup reinforces this development for Google’s AI Overviews. HowTo schema works similarly for process-oriented content material subject matter. Keep away from burying the answer in lengthy preambles — LLMs need content material subject matter that can get to the aim in an instant.

When should you prioritize AEO over typical search engine marketing?

AEO and standard search engine marketing don’t appear to be mutually distinctive — the an identical content material subject matter prime quality signs that power rankings (authority, depth, structured formatting, freshness) moreover power AI citations.

However, if analytics show declining herbal click-through fees irrespective of robust or improving rankings, that’s an indication that AI answers are intercepting clicks for your function queries. In that scenario, investing in AEO content material subject matter development and citation optimization is much more likely to have the following marginal return than chasing additional ranking improvements.

Further extensively, for any query kind where AI Overviews or LLM answers are already dominant, AEO should be the main optimization lens.

From Analysis to Movement: Turning AEO Insights Into Competitive Receive advantages

AEO competitor analysis supplies marketers something typical search engine marketing under no circumstances completely would possibly: an instantaneous view into how producers are in truth really useful at the moment of decision-making. As an alternative of optimizing for rankings alone, teams can now measure citation frequency, answer proportion, and entity presence — and understand exactly why pageant are being surfaced in AI-generated answers.

The actual value, however, comes from what happens next. Understanding gaps is best useful if teams can act on them briefly and constantly. That’s where apparatus like HubSpot’s AEO Grader provide an in the market position to start out, helping marketers benchmark their provide visibility and know how they read about. From there, HubSpot AEO and AEO choices in HubSpot Promoting Hub allow ongoing tracking, competitor analysis, and prioritized tips — while moreover connecting those insights right away to content material subject matter execution, CRM data, and pipeline reporting.

For teams investing in AEO, the path forward is plain: Assemble a reliable query set, track answer proportion over time, and steadily refine content material subject matter based on what AI engines in truth cite. The corporations that operationalize this activity early received’t merely keep up with pageant — they’ll define how their elegance is represented in answer engines.

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