An AI engine optimization audit evaluates style visibility, accuracy, and citations in AI-powered serps like google. It highlights how a style turns out right through ChatGPT, Gemini, Perplexity, and Bing Copilot, and identifies gaps throughout the knowledge, descriptions, and links the ones strategies rely on. By contrast, an ordinary search engine marketing audit specializes in internet web page rankings and technical neatly being in antique serps like google. 
AI search extracts wisdom directly from content material subject material, public property, and structured wisdom. This shift changes how buyers discover producers and validate solutions. Growth-focused teams benefit from exact, consistent style details in AI summaries, as the ones summaries impact early research, shortlists, and pipeline advent.
This put up gives teams a complete workflow for running an AI engine optimization audit, priority fixes, a practical checklist, and the HubSpot equipment that reinforce the process. Every section offers clear steps for checking out visibility right through AI engines, measuring accuracy, updating content material subject material, and publishing structured, AI-friendly pages at scale.
Table of Contents
- What’s an AI engine optimization audit?
- Why run an AI engine optimization audit now?
- Learn how to Run an AEO Audit (Step-by-Step)
- Precedence Fixes After Your Solution Engine Optimization Audit
- AI Seek Optimization Audit Tick list
- Often Requested Questions About AI Engine Optimization Audits
What’s an AI engine optimization audit?
An AI engine optimization audit is a structured analysis that measures how accurately AI serps like google represent a style. It evaluates visibility, accuracy, and citations right through strategies like ChatGPT, Gemini, Perplexity, and Bing Copilot. The serve as is to ensure that AI-generated summaries accurately reflect the emblem’s knowledge, product details, and property.
An AI engine optimization audit differs from an ordinary search engine marketing audit. A traditional search engine marketing audit specializes in rankings, crawlability, and technical neatly being. An AEO audit specializes in entity correctness, style mentions, citation frequency, and the precision of AI-generated summaries. An AI engine optimization audit identifies outdated knowledge, missing style mentions, and wrong citations in AI summaries. The ones issues frequently stem from unstructured pages, unclear entities, and inconsistent context.
AI engines pull wisdom from standalone chunks, structured wisdom, and patterns across the web. They interpret content material subject material further accurately when pages use clear headings, defined entities, semantic triples, and dependable formatting.
HubSpot Seek Grader provides a free option to assess style visibility in AI serps like google and decide a handy guide a rough baseline. It complements foundational art work similar to running a web page audit, making improvements to the fundamentals throughout the technical search engine optimization information, together with markup from the structured knowledge walkthrough, and reviewing potency in your search engine optimization document.
How AEO, GEO, and search engine marketing Art work Together
AEO, GEO, and search engine marketing each improve how buyers discover and understand a style.
- AEO (resolution engine optimization) specializes in entity clarity, proper citations, and the best way AI engines summarize a style.
- GEO (generative engine optimization) specializes in potency in generative experiences right through channels, along side conversational answers and synthesized results.
- search engine marketing (search engine optimization) specializes in rankings, crawlability, and technical potency in typical serps like google.
Teams reach stronger visibility when the ones workflows run together. AEO highlights entity gaps. GEO highlights the depth and worth of content material subject material in generative environments. search engine marketing highlights technical and score signs. Together with all 3 dimensions on your search engine marketing record helps teams follow visibility changes right through search experiences.
|
Audit Kind |
What the Audit Covers |
Why It’s Essential |
|
AEO (Answer Engine Optimization) |
Entity definitions, style mentions, citations, factual accuracy, and the best way AI strategies interpret and summarize the emblem |
Promises AI engines clearly understand who a style is, what it offers, and when to reference the emblem in direct answers and summaries |
|
GEO (Generative Engine Optimization) |
Potency in generative experiences, along side conversational responses, synthesized results, multi-source answers, and content material subject material usefulness |
Improves visibility and impact in AI-driven discovery moments where consumers download generated answers instead of links |
|
search engine marketing (Search Engine Optimization) |
Ratings, crawlability, indexing, website online construction, technical neatly being, one way links, and keyword potency |
Maintains strong visibility in typical search results and promises content material subject material may also be found out, indexed, and ranked effectively |
Why run an AI engine optimization audit now?
AI search now plays a very important serve as in how buyers research categories, read about vendors, and validate solutions. An AI engine optimization audit gives teams a clear understanding of the way AI engines summarize their style in recent times and where improvements can have the most productive affect.
AI search is reshaping top-of-funnel discovery.
Web page guests is more difficult to earn as AI engines become the main stop for contextual answers. Large language models (LLMs) generate tailored responses that offer consumers with direct steering, reducing the need to have interaction with typical SERP links. Robust AEO foundations help AI engines highlight proper knowledge and up-to-the-minute messaging.
AI engines impact B2B buying committees.
AI summaries frequently appear previous than buyers reach a internet web page. The ones early summaries shape magnificence expectations, frame key purposes, and impression which vendors appear comparable. AEO improvements reinforce further consistent visibility in the ones moments.
Fallacious or missing style knowledge spread in short.
AI engines soak up outdated wisdom from out of date pages, legacy listings, and external property. Those inaccuracies can spread right through a couple of strategies. Publishing consistent, structured updates helps knowledge AI engines in opposition to provide knowledge.
Pipeline and source of revenue reporting needs proper AI mentions.
Pipeline advent is decided through how clearly buyers understand a style’s alternatives. Up to the moment AI summaries reinforce further consistent messaging across the funnel. Good CRM connects content material subject material improvements to pipeline and source of revenue effects, which links AEO efforts to measurable trade affect.
AI search optimization compounds through the years.
Clear entity signs help AI engines categorize a style further accurately. Early improvements create a foundation that strengthens recognition and citation patterns right through long run updates.
Discover ways to Run an AEO Audit (Step-by-Step)
An AEO audit evaluates how AI engines describe a style, highlights errors, and guides updates that improve visibility. Every step works as a standalone task that teams can entire in assortment or mix into provide content material subject material workflows.

Step 1: Define the entities, topics, and branded phrases you wish to have AI engines to recognize
Tick list the core knowledge AI engines must reference when summarizing your style. Include company name, product names, key choices, function personas, and sophistication words. Add high-intent topics that align in conjunction with your positioning.
Step 2: Test your style in peak AI engines
Run targeted turns on right through ChatGPT, Gemini, Perplexity, and Bing Copilot. Include non-public or industry models if comparable on your audience. Test branded queries, magnificence queries, and solution-driven turns on. Teams evaluating Microsoft’s ecosystem can also reference our steering on whether or not entrepreneurs will have to optimize for Bing.

Skilled tip: Use HubSpot’s free AEO Grader to seem how your internet web page is appearing in AI serps like google.
Step 3: Grab and categorize all AI outputs
Document screenshots and text from each engine. Categorize outputs as right kind, outdated, incomplete, erroneous, or missing. Add a column for confidence markers similar to citations, links, attributed property, and contextual accuracy.
Skilled tip: Add a confidence-marker column to focus on which engines pull from devoted property.
Step 4: Score visibility, accuracy, and citation completeness
Create a simple scoring model for visibility, accuracy, depth, and citations. Visibility measures whether or not or no longer the emblem turns out. Accuracy measures factual correctness. Depth indicates whether or not or no longer product-level details appear. Citations measure whether or not or no longer AI engines link to brand-owned property.
Step 5: Decide entity gaps and semantic errors
Check out for wrong founders, dates, product descriptions, or industry categories. Flag missing choices, outdated positioning, and expired pricing. This step surfaces unclear or inconsistent entity signs.
What I like: Entity-gap reviews frequently disclose inconsistencies right through About pages, product pages, and listings. Updating the ones hubs at the same time as strengthens AEO, search engine marketing, and GEO signs.
Step 6: Evaluate on-site content material subject material for development and AEO clarity
Evaluation whether or not or no longer the content material subject material uses extractable chunks, clean H2/H3 formatting, lists, and particular semantic triples. Evaluate inside of linking and entity details right through key pages. Improve structured wisdom the usage of the practices in HubSpot’s structured knowledge information. HubSpot Content material Hub is helping structured, entity-friendly publishing at scale.
Step 7: Substitute or create supporting content material subject material with an AI-friendly development
Draft updates the usage of AI equipment, then manually validate each truth. Breeze AI Suite hurries up content material subject material briefs, QA pairs, and optimization tasks. Content material subject material Hub and Promoting and advertising Hub help teams combine search engine marketing and AEO updates with structured editing equipment and serve as insights.
Highest for: Teams managing large content material subject material libraries benefit most from drafting first-pass updates in Breeze and refining with human analysis.
Step 8: Re-test the usage of HubSpot AI search grader
Run each different whole take a look at the usage of HubSpot Seek Grader after publishing updates. Document changes, read about outputs, and refine your entity checklist as the emblem evolves. An AI engine optimization audit must be repeated quarterly or after number one content material subject material changes.
Discover ways to Operationalize Your AEO Audit in HubSpot
HubSpot’s ecosystem is helping all of the AEO workflow:
- AI Seek Grader establishes baselines for visibility, accuracy, and citations.
- Content material Hub publishes structured, entity-friendly updates.
- Breeze AI Suite accelerates content material subject material briefs, revisions, and QA tasks.
- Advertising and marketing Hub search engine optimization gear highlight technical issues and subject gaps that reinforce AEO and search engine marketing art work.
- Good CRM connects content material subject material updates to engagement, lead top quality, and source of revenue insights.
Highest for: Teams that want a repeatable AEO workflow tied directly to content material subject material operations and reporting.
Priority Fixes After Your Answer Engine Optimization Audit
Best-impact fixes focal point on correcting style knowledge, strengthening entity clarity, publishing structured content material subject material, expanding high-intent coverage, updating public listings, and together with authoritative citations.
Restore 1: Proper style knowledge right through owned content material subject material.
Substitute outdated product descriptions, serve as lists, and claims. Add semantic triples that clearly decide relationships a variety of the style, its products, and its categories.
Skilled tip: Add semantic triples to product pages, About pages, and glossary entries to improve entity clarity.
Restore 2: Improve entity pages and style hubs.
Give an explanation for who the emblem serves, what categories it participates in, and which products it offers. Improve About pages, glossary entries, and product pages so AI engines have loyal property for the fundamentals.
Restore 3: Add structured wisdom and better content material subject material construction.
Submit schema markup for entities, products, and organizational details. Improve the information construction so AI engines can interpret the website online development in short. HubSpot’s structured knowledge information outlines markup patterns teams can operationalize across the website online.
What I like: Structured wisdom frequently becomes probably the most essential fastest ways to right kind misaligned AI-generated knowledge.
Restore 4: Create supporting content material subject material for high-intent topics.
Lengthen content material subject material to align with buyer needs in AI engines. Add explainers, templates, guides, and up-to-the-minute magnificence pages. Advertising and marketing Hub’s search engine optimization tips highlight subject gaps and content material subject material choices.
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Highest for: Teams building subject authority right through hybrid AEO and search engine marketing workflows.
Refresh style wisdom right through LinkedIn, G2, GitHub, YouTube, and other profiles AI engines often reference. Create a Wikipedia internet web page only if the emblem meets notability necessities and can follow editorial guidelines.
Improve presence right through revered retail outlets, along side press retail outlets, podcasts, and interviews. AI engines select producers with consistent external validation.
Skilled tip: Earned media improves citation patterns and reduces outdated references right through AI engines.
AI Search Optimization Audit Checklist
Use this AEO audit checklist as a repeatable per 30 days or quarterly workflow.
- Decide core entities to judge.
- Test visibility in peak AI engines.
- Grab and categorize outputs.
- Score visibility, accuracy, and citations.
- Restore entity and semantic errors.
- Substitute content material subject material development and metadata.
- Add structured wisdom and entity markup.
- Re-test with HubSpot AI Seek Grader.
- Repeat every quarter.
Regularly Asked Questions About AI Engine Optimization Audits
Teams come throughout a variety of no longer abnormal questions after they get started evaluating how AI engines summarize their style.
Do I would like developer property for an AI engine optimization audit?
Developer reinforce isn’t required for the research itself. Developer property can help when together with structured wisdom, updating schema markup, or adjusting website online construction that is helping clearer entity signs.
How frequently must I rerun the audit?
Run the audit quarterly or after number one content material subject material, product, or positioning updates. This rhythm assists in keeping AI-generated summaries aligned in conjunction with your provide style details.
Will have to I create a Wikipedia internet web page for my style?
Create a Wikipedia internet web page only if the emblem meets notability requirements and can follow editorial necessities. Pages that don’t meet the ones prerequisites may be removed, rising confusion for AI engines.
Will llms.txt affect typical internet optimization?
llms.txt manages get right to use for AI crawlers and does no longer affect Google’s score algorithms. It operates independently of typical search engine marketing signs.
What’s one of the best ways to get cited by the use of AI engines sooner?
Submit structured, entity-rich content material subject material with clear semantic relationships. Improve external citations from revered retail outlets. Use HubSpot AI Search Grader to identify gaps and plan updates.
Getting Started
An AI engine optimization audit highlights how AI serps like google describe a style, identifies accuracy gaps, and guides updates to give a boost to visibility across the buyer journey. The shift in opposition to AI-generated summaries makes this art work an important part of discovery, source of revenue advent, and expansion planning. Get started by the use of defining core entities, checking out visibility right through number one AI engines, and running an initial baseline with HubSpot AI Search Grader.
I’ve spotted essential improvements from teams that adopt a relentless audit cycle, substitute outdated knowledge, and post structured content material subject material — small improvements compound. AI engines substitute their summaries in short when producers post clear, loyal wisdom in structured formats.
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Contents
- 1 What’s an AI engine optimization audit?
- 2 Why run an AI engine optimization audit now?
- 3 Discover ways to Run an AEO Audit (Step-by-Step)
- 3.1 Step 1: Define the entities, topics, and branded phrases you wish to have AI engines to recognize
- 3.2 Step 2: Test your style in peak AI engines
- 3.3 Step 3: Grab and categorize all AI outputs
- 3.4 Step 4: Score visibility, accuracy, and citation completeness
- 3.5 Step 5: Decide entity gaps and semantic errors
- 3.6 Step 6: Evaluate on-site content material subject material for development and AEO clarity
- 3.7 Step 7: Substitute or create supporting content material subject material with an AI-friendly development
- 3.8 Step 8: Re-test the usage of HubSpot AI search grader
- 3.9 Discover ways to Operationalize Your AEO Audit in HubSpot
- 4 Priority Fixes After Your Answer Engine Optimization Audit
- 4.1 Restore 1: Proper style knowledge right through owned content material subject material.
- 4.2 Restore 2: Improve entity pages and style hubs.
- 4.3 Restore 3: Add structured wisdom and better content material subject material construction.
- 4.4 Restore 4: Create supporting content material subject material for high-intent topics.
- 4.5 Restore 5: Substitute digital footprints on high-authority platforms.
- 4.6 Restore 6: Add earned media and authoritative citations.
- 5 AI Search Optimization Audit Checklist
- 6 Regularly Asked Questions About AI Engine Optimization Audits
- 6.1 Do I would like developer property for an AI engine optimization audit?
- 6.2 How frequently must I rerun the audit?
- 6.3 Will have to I create a Wikipedia internet web page for my style?
- 6.4 Will llms.txt affect typical internet optimization?
- 6.5 What’s one of the best ways to get cited by the use of AI engines sooner?
- 7 Getting Started
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