Generative Engine Optimization for People Also Ask Visibility: How to Make Your Answers Discoverable in AI Search

Search behaviour is changing quickly. People still use Google, but they are also asking questions in AI Overviews, ChatGPT, Gemini, Perplexity and other answer engines. That shift creates a practical SEO problem: your content may rank for a broad keyword yet remain invisible when an AI system selects a concise answer for a related question.

Generative Engine Optimisation (GEO) helps address that gap. It focuses on making your content easier for search engines and AI systems to understand, extract, verify and cite. When you combine GEO with People Also Ask optimisation, you can build a stronger answer ecosystem around your target topics rather than publishing isolated articles that compete with one another.

This matters especially when keyword cannibalisation is already affecting your site. Several pages may answer almost the same question, use overlapping headings and attract similar internal links. Google receives mixed signals. AI systems do too.

The solution is not to add more pages at random. You need a structured workflow that maps questions, assigns each query to the right URL, creates clear answer blocks and keeps the whole topic commercially useful. SEO Letters helps turn that workflow into a repeatable publishing system, from keyword research and content clustering to AI-assisted article creation and publishing.

What Is Generative Engine Optimisation for People Also Ask?

Generative Engine Optimisation is the practice of structuring content so generative search systems can identify its meaning, assess its usefulness and potentially use it in an answer.

For People Also Ask visibility, GEO involves creating content that:

Answers a specific question directly.
Provides enough context for the answer to stand alone.
Uses clear headings and logical subheadings.
Supports claims with trustworthy evidence.
Connects related questions within a defined topic cluster.
Avoids competing pages with near-identical search intent.
Gives AI systems a concise passage that can be extracted without losing accuracy.

People Also Ask, often abbreviated as PAA, is the expandable question feature that appears in Google search results. It usually contains questions related to the original search query, with short answers taken from indexed pages.

PAA is useful because it reveals how Google interprets a topic. It shows the questions searchers ask before, during and after the main query. That information can then shape your content structure, FAQ sections, internal linking and broader topical authority plan.

The relationship between PAA and AI search is not exact. Ranking in a PAA box does not guarantee citation in an AI Overview. Still, the underlying principles overlap: clarity, relevance, authority, factual consistency and strong information architecture all help.

Why PAA Visibility Matters in AI Search

A traditional ranking strategy often focuses on one keyword and one page. That approach can still work for some queries, but it is less reliable when search results include generated summaries, follow-up questions and conversational interfaces.

AI search tends to synthesise information from several sources. It may look for:

A direct answer to the user’s question.
Supporting explanations from authoritative pages.
Definitions and comparisons.
Recent data or updated guidance.
Evidence that confirms or challenges a claim.
A clear relationship between the question and the website’s wider expertise.

PAA questions can act as a useful bridge between conventional SEO and this newer search environment. They expose the language searchers use, including question variations that may not appear in standard keyword tools.

For example, a website targeting “technical SEO audit” may discover related PAA questions such as:

What does a technical SEO audit include?
How often should you perform a technical SEO audit?
Can I do a technical SEO audit myself?
What is the difference between a technical and content audit?
How long does an SEO audit take?

Those questions are not simply extra headings. They represent different stages of the search journey, different levels of commercial intent and potentially different landing pages.

The important point is this: PAA research should support a content architecture, not just create a longer FAQ section.

The Keyword Cannibalisation Problem Behind Weak PAA Coverage

Keyword cannibalisation happens when multiple pages on the same website target the same or closely overlapping search intent. The pages compete for impressions, links, crawls and relevance signals.

It is often described as a ranking problem, but the deeper issue is strategic confusion. Your site may have three pages that all appear relevant for the same PAA question, while none provides the strongest, most complete answer.

A common pattern looks like this:

Page	Main target	Overlapping questions	Likely issue
Blog post A	What is content automation?	How does content automation work?	Broad educational intent
Blog post B	Automated blog writing	Is automated content good for SEO?	Product and process overlap
Service page	AI blog writing tool	What is the best AI writer?	Commercial overlap
Guide page	Content automation strategy	How do you automate a content workflow?	Strategic overlap

Each page may be individually reasonable. Together, they can create a muddled topical signal. Internal links might use similar anchor text, title tags may repeat the same modifiers and the answer blocks may provide almost identical explanations.

Signs that PAA keyword cannibalisation is happening

Look for these signals in your SEO data:

Several URLs receive impressions for the same question.
Google alternates between pages for a similar query.
Rankings fluctuate without major algorithm or content changes.
Pages have similar titles, H1s and opening paragraphs.
Internal links point to different URLs using identical anchor text.
One page ranks for the main keyword while another ranks for related questions.
Search Console shows low click-through rates across several overlapping URLs.
AI-generated answers refer to your brand inconsistently or omit your preferred page.
Content teams keep publishing new articles because existing pages are not clearly mapped.

This whole thing often develops gradually. One article is published for the main topic, another is created six months later for a related phrase, and a third is added because a competitor has published a similar guide. Eventually, your site has depth in volume but not in direction.

Build a PAA Keyword Map Before You Write

The first practical step is to collect PAA questions and assign each one to a page type. Do not begin by drafting answers. Begin with classification.

Step 1: Gather PAA and conversational questions

Use a combination of sources:

Google People Also Ask results.
Related searches.
Search Console query data.
Keyword research platforms.
Google autocomplete.
Reddit, forums and community discussions.
Customer service questions.
Sales call notes.
AI search prompts.
Competitor FAQ pages.
Product reviews and comparison pages.

Search the main topic in several formats. Use broad, specific, commercial and problem-led queries. For instance, if your subject is blog writing software, investigate:

Best blog writing software.
How does blog writing software work?
Can AI write a complete blog post?
Is AI-generated blog content good for SEO?
How do you automate WordPress blog publishing?
What is the best content workflow for a small SEO team?
Can one tool create articles in multiple languages?

A useful PAA map includes the question, intent, recommended URL, answer format and business relevance.

PAA question	Intent	Best content format	Suggested destination
What is generative engine optimisation?	Informational	Definition and framework	GEO guide
How do you optimise content for AI search?	Informational	Step-by-step guide	GEO implementation page
Can AI search cite blog content?	Informational	Evidence-led explainer	AI search article
What is keyword cannibalisation?	Problem-solving	Diagnostic guide	Cannibalisation guide
How do I fix overlapping SEO pages?	Practical	Audit and remediation guide	SEO consolidation article
What is the best automated blog writing tool?	Commercial	Product comparison	Software landing page
Can content tools publish to WordPress?	Commercial investigation	Feature explanation	Product feature page

Step 2: Group questions by search intent

Intent is more useful than wording alone. Two questions may share a keyword but require completely different content.

Use these categories:

Definition: What is PAA SEO?
Process: How do you optimise for PAA?
Evaluation: Is PAA visibility valuable?
Comparison: PAA SEO versus featured snippets.
Troubleshooting: Why is my page not appearing in PAA?
Commercial investigation: Which tool helps with PAA content?
Transactional: Where can I start an automated campaign?

If two pages have the same intent, the cannibalisation risk is higher. If they have different intent, they can usually coexist when the internal linking and scope are clear.

Step 3: Assign one primary URL to every important question

Every important PAA question should have a preferred destination. That does not mean only one page can mention the question. It means one page should be the strongest source.

Create a simple ownership system:

Question group	Primary URL	Supporting URLs	Canonical answer owner
PAA fundamentals	/people-also-ask-seo/	/featured-snippets/, /geo/	/people-also-ask-seo/
AI search optimisation	/generative-engine-optimisation/	/ai-content/, /semantic-seo/	/generative-engine-optimisation/
Keyword cannibalisation	/keyword-cannibalisation/	/content-audit/, /internal-linking/	/keyword-cannibalisation/
Automated publishing	/automated-blog-writing/	/wordpress-publishing/, /content-workflow/	/automated-blog-writing/

This prevents every article from trying to rank for every variation. It also gives your internal links a purpose.

How to Write PAA Answers That AI Search Can Understand

A strong PAA answer usually starts with a direct response, followed by qualification and useful detail. The first sentence should not force the reader to interpret a long introduction.

For example:

Generative Engine Optimisation is the process of improving content so AI-powered search systems can understand, evaluate and cite it in generated answers. It combines traditional SEO, structured content, topical authority, factual support and clear information architecture.

That answer works because it:

Defines the term immediately.
Includes related concepts naturally.
Stands alone when extracted.
Avoids unsupported claims.
Creates a logical path to deeper explanation.

A weak version might say:

As search continues to evolve, businesses are increasingly looking for ways to improve visibility across a complex digital ecosystem where new technologies are changing how content is discovered.

It contains context but does not answer the question. AI systems may still understand the page, but the passage is less useful as a direct citation.

Use the answer-first structure

For most PAA questions, use this pattern:

Direct answer: One or two sentences.
Clarification: Define scope, exceptions or limitations.
Evidence: Add a source, example, process or metric.
Next action: Explain what the reader should do.
Related path: Link to the deeper page.

This works particularly well for questions with practical intent.

Example: What is keyword cannibalisation?

Keyword cannibalisation occurs when multiple pages on the same website target the same or closely related search intent, causing search engines to struggle to identify the best URL. It can lead to ranking instability, diluted internal links and weaker performance across the affected pages.

Then expand:

Explain how to confirm the issue in Search Console.
Compare impressions and clicks by URL.
Review page intent and content overlap.
Decide whether to merge, redirect, retarget or leave the pages separate.
Link to a detailed cannibalisation audit guide.

The short answer is useful for PAA and AI search. The supporting section is useful for humans who need to act.

Structure Your Page for Extractability

AI systems need to interpret content at several levels. They need to understand the page topic, section purpose, answer relationship and supporting evidence. Good formatting makes that easier.

Use descriptive headings

A heading such as How to Fix Keyword Cannibalisation in PAA Content gives stronger context than The Solution.

Useful heading patterns include:

What is…
How does…
Why does…
When should…
What is the difference between…
How do you fix…
Which tool is best for…
What are the risks of…

Do not force a question into every heading. Use questions where the section genuinely answers one. Otherwise, the structure can feel artificial and repetitive.

Keep answer blocks focused

A PAA answer block should usually contain:

The question as a heading or clearly visible prompt.
A concise answer in the first paragraph.
One or two supporting paragraphs.
A list, example or table where it improves comprehension.
A relevant internal link.

Avoid placing the answer halfway through a 500-word introduction. That arrangement is frustrating for readers and makes extraction less predictable.

Use lists for processes and criteria

Lists are particularly useful for questions such as:

What are the signs of cannibalisation?
How do you optimise a page for AI search?
What should a PAA answer include?
Which metrics should you monitor?

Keep the list specific. “Improve relevance” is vague. “Match the answer block to the query intent and link to the page that owns the topic” is operational.

Add tables where comparisons matter

A comparison table helps clarify boundaries between related concepts.

Optimisation type	Main objective	Typical output	Main risk
Traditional SEO	Rank in organic results	Optimised page	Over-focusing on one keyword
PAA optimisation	Answer related questions	Extractable answer blocks	Creating thin FAQs
GEO	Improve interpretation and citation in AI search	Structured, evidence-led content	Making claims without support
Topical authority	Demonstrate breadth and depth	Connected content cluster	Publishing overlapping pages
Conversion optimisation	Generate leads or sales	Clear calls to action	Distracting from the answer

The Role of Topical Authority in PAA and GEO

AI search systems often need more than one isolated answer. They look for context around an entity, subject or problem. A single page can answer a question, but a connected group of pages demonstrates that your site understands the topic in depth.

For a website writing about SEO Letters, a relevant topical cluster might include:

Generative engine optimisation.
People Also Ask optimisation.
Keyword cannibalisation.
Topical authority.
Content briefs.
Internal linking.
Automated blog writing.
AI content quality control.
WordPress publishing workflows.
Content refresh campaigns.
Multi-language SEO.
Performance tracking.

These pages should not repeat one another. Each needs a distinct role.

Example of a clean topic cluster

Pillar page: Generative Engine Optimisation guide

Cluster pages:

How AI search selects sources.
How to write content for AI Overviews.
PAA optimisation framework.
Entity-based SEO for publishers.
How to measure AI search visibility.
Keyword cannibalisation in AI content.
Structured data for editorial pages.

The pillar page explains the full framework and links to the specialist pages. The cluster pages go deeper and link back using descriptive anchor text.

This is where a content planning system becomes valuable. SEO Letters can help identify keyword opportunities, build topical authority clusters and turn a broad subject into an organised publishing plan rather than a pile of disconnected drafts.

Fix Keyword Cannibalisation Without Losing PAA Coverage

Consolidation is not always the answer. If two pages answer genuinely different questions, merging them can reduce relevance and make the resulting page too broad.

Use a decision framework.

1. Confirm whether the pages target the same intent

Compare:

Primary keyword.
PAA questions.
Search result formats.
Page titles.
H1 and H2 headings.
Content depth.
Backlink profiles.
Conversion goals.
Search Console query and URL data.

If the pages solve the same problem for the same audience, consolidation is worth considering. If one is educational and the other is transactional, keep both and clarify their roles.

2. Choose the correct remediation

Situation	Recommended action
One page is clearly stronger and the other adds little	Merge content and redirect the weaker URL
Both pages have valuable links and separate intent	Retain both and sharpen topical boundaries
A page ranks for an unintended question	Retarget its headings and body content
Several thin FAQs repeat a main guide	Consolidate them into a useful section
Product and educational content overlap	Separate informational and commercial sections
Old page has outdated advice	Refresh it or redirect it to the current guide
Similar pages serve different languages or regions	Keep separate with proper localisation signals

3. Reassign PAA questions

After deciding which page owns the topic, update the content map. Remove duplicate answer blocks from supporting pages unless they are needed for context.

A supporting article can mention the concept briefly:

Keyword cannibalisation can also affect PAA visibility when several pages answer the same question. See the full keyword cannibalisation audit guide for a URL-level process.

The detailed answer belongs on the owner page. That reduces internal competition and gives search engines a clearer destination.

4. Improve internal links

Internal links should communicate hierarchy and intent. Use varied, accurate anchor text such as:

PAA optimisation framework.
Fix overlapping SEO pages.
Measure AI search visibility.
Automated content publishing workflow.
Content refresh campaign.

Avoid linking five different URLs with the anchor text “AI SEO”. That creates ambiguity. It also makes it harder for users to understand where each link leads.

Build Trust Signals for AI-Selected Answers

Visibility is only one part of the objective. If an AI system includes your answer, the source needs to be credible and useful to the person who follows the citation.

Google’s E-E-A-T principles remain relevant:

Experience: Show how the process works in real publishing situations.
Expertise: Explain technical ideas accurately and define specialist terms.
Authoritativeness: Connect the subject to a credible brand, author or organisation.
Trustworthiness: Be transparent about evidence, limitations and commercial intent.

For a business page promoting software, transparency is important. Explain what the platform does, what it does not do, and where human review still matters.

Useful trust elements include:

Named authors and reviewer information.
Dates for publication and updates.
References to primary research or official documentation.
Screenshots or workflow examples.
Clear descriptions of product capabilities.
Honest limitations around AI-generated content.
Contact details through the rightbar.
Privacy, terms and editorial policies.
Relevant case studies or practical scenarios.

Do not invent performance results. If you use a hypothetical example, label it clearly.

Schema Markup and Technical Signals

Schema does not guarantee PAA or AI search visibility. It can still help machines interpret the page and its relationships.

Depending on the content, consider:

Article
BlogPosting
FAQPage
HowTo
BreadcrumbList
Organisation
SoftwareApplication
Product
Review

Use schema only when it reflects visible page content. Adding FAQ schema to questions that are not actually answered on the page can create quality and compliance problems.

For technical hygiene, check:

The page is indexable.
The canonical URL is correct.
Important answer text is present in the HTML.
JavaScript is not hiding core content.
The page loads well on mobile.
Internal links are crawlable.
Images include descriptive alt text.
XML sitemaps contain the preferred URLs.
Redirects do not create chains.
Similar pages have a documented relationship.

A clean technical foundation will not compensate for poor content, but a poor foundation can prevent strong content from being understood.

How SEO Letters Supports a GEO and PAA Workflow

Creating one carefully structured article is manageable. Maintaining a whole question-led content operation is harder, particularly when you publish for multiple products, markets or languages.

SEO Letters is built as an AI writing engine for people who publish professionally. It takes you from a keyword or topic to a structured article with headings, internal links, schema and images, then supports direct publishing to WordPress, Shopify or webhooks.

For PAA and GEO work, the workflow can support:

Keyword research with difficulty ratings.
Question discovery and topic expansion.
Topical authority cluster planning.
Competitor site-gap analysis.
Structured article generation.
Brand voice configuration.
Internal link recommendations.
Schema-ready content structures.
Multi-language generation across 21 languages.
Product-aware affiliate and ecommerce content.
Performance monitoring for published pages.
Content refresh campaigns.
Autonomous campaign scheduling.

The autonomous scheduler is particularly relevant when your strategy involves consistent question coverage. You can define a topic, cadence and publishing destination, then allow the workflow to research, draft and publish on schedule, with appropriate review controls in place.

That does not mean handing your entire strategy to a machine. You still decide the commercial priorities, target markets, risk tolerance and editorial standards. The software handles much of the repetitive movement between research, drafting, formatting and publication.

A Repeatable PAA Optimisation Workflow

Use this process whenever you create or revise a page.

Step 1: Define the main search intent

Write one sentence describing the problem the page solves.

Example:

This guide helps SEO teams optimise People Also Ask answers for traditional search and AI-generated search while reducing keyword cannibalisation.

If the sentence becomes too broad, the page probably needs a narrower scope.

Step 2: Collect related questions

Gather at least 15 to 30 questions from search results, customer conversations, competitors and keyword tools. Remove near-duplicates before assigning them to sections.

Group the questions into:

Definitions.
Causes.
Processes.
Comparisons.
Tools.
Risks.
Measurement.
Commercial next steps.

Step 3: Map each question to a page

Mark every question as:

Primary question for this page.
Supporting question for this page.
Better suited to another existing page.
New content opportunity.
Duplicate or low-value variation.

This is the step that protects against cannibalisation.

Step 4: Write the direct answer first

Draft a two or three sentence answer before writing the surrounding explanation. It should be accurate if copied into a search result without the rest of the page.

Then add nuance. Searchers often need exceptions, examples and implementation guidance.

Step 5: Add evidence and experience

Support important claims with:

First-party data.
Official documentation.
Expert commentary.
Search Console observations.
Before-and-after examples.
Clearly labelled hypothetical scenarios.

If you claim that a format improves visibility, explain what was measured and over what period. A useful KPI might be PAA impressions, answer inclusion, organic clicks or assisted conversions.

Step 6: Link to the correct next page

Use internal links to show topic hierarchy. A PAA guide might link to:

A technical implementation guide.
A keyword cannibalisation audit.
A content refresh process.
A software page for automated publishing.

The link should help the reader continue the task. Do not add links simply to increase the number of internal links.

Step 7: Publish, measure and refresh

Track performance after indexing and again after a meaningful period. Search visibility can fluctuate, so avoid making decisions from a few days of data.

Refresh when:

New PAA questions appear.
Search intent shifts.
Competitors publish stronger answers.
AI search begins citing different sources.
Statistics or product features become outdated.
Several URLs start ranking for the same question.
Click-through rate falls despite stable impressions.

Metrics for Measuring PAA and GEO Performance

AI search measurement is still developing. There is no single universal visibility score, so use a group of practical indicators.

Metric	What it shows	How to use it
PAA impressions	Visibility for question-led searches	Compare before and after optimisation
PAA clicks	Search traffic from relevant questions	Assess answer relevance and title appeal
Featured answer presence	Whether your page is selected for a result feature	Track priority queries manually or with a tool
AI citation frequency	How often AI systems reference your brand or page	Run consistent prompt tests over time
Branded mentions	Whether your expertise is appearing in generated responses	Watch for changes by topic and market
Organic conversions	Business value of question-led traffic	Connect pages to leads, sales or sign-ups
URL overlap	Number of pages ranking for one intent	Identify possible cannibalisation
Crawl and index status	Whether pages can be discovered and processed	Resolve technical barriers
Content freshness	Whether important answers remain current	Schedule reviews by topic risk

Create a simple GEO visibility score

For priority questions, score each page from 0 to 2 across five areas:

Criterion	0 points	1 point	2 points
Direct answer	Missing	Partial	Clear and immediate
Topical coverage	Thin	Adequate	Deep and well scoped
Evidence	Unsupported	Some support	Strong, relevant support
Page ownership	Multiple competing URLs	Partially defined	One clear canonical owner
Technical accessibility	Problems present	Acceptable	Fully indexable and structured

A score of 8 to 10 suggests a strong foundation. A lower score indicates where to focus. This is not a Google metric, and it should not be presented as one. It is an internal prioritisation tool.

Practical Scenario: Fixing Overlapping PAA Content

Imagine an ecommerce company selling SEO software. It has published these pages:

What is an AI blog writer?
Best AI blog writing tools.
How to automate blog content.
AI content for SEO.
Automated WordPress publishing.

The pages all mention the same features, target similar commercial terms and answer several identical PAA questions. Search Console shows that Google alternates between URLs for “automated blog writing tool”.

The company could take the following action:

Keep the educational guide focused on definitions and use cases.
Make the comparison page focus on evaluating software.
Make the automation guide focus on process design and governance.
Make the SEO page focus on quality, search intent and review.
Make the WordPress page focus on the technical publishing workflow.
Link each page to the main product page.
Remove duplicated product claims from the informational guides.
Assign the question “What is the best automated blog writing tool?” to the comparison or product page.
Use redirects where a thin page does not have a distinct purpose.

The result is a cleaner information architecture. The site still covers the whole topic, but every page has a reason to exist.

Common Mistakes That Reduce PAA and AI Search Visibility

Publishing a separate page for every minor question

Not every PAA query deserves its own URL. A page for every tiny wording variation can create thin content and cannibalisation.

Combine closely related questions when they share intent and audience. Create a separate page when the question requires a different depth, format or conversion path.

Writing answers that are too vague

“SEO is important because it helps websites rank” does not provide enough value. Define what the term means in the context of the question, then explain how the reader should apply it.

Treating FAQs as an afterthought

A block of 20 generic questions at the end of an article rarely creates useful topical depth. PAA questions should influence the outline, internal links and content priorities from the beginning.

Making unsupported AI search claims

AI search visibility is affected by multiple systems and can vary by location, user history and query formulation. Avoid guaranteed language such as “this will make your page appear in every AI answer”.

Use measured wording and document your methodology.

Allowing AI-generated pages to publish without review

Automated writing is valuable when it supports a disciplined workflow. It still requires fact checking, brand review, commercial accuracy and checks for duplicated content.

Use automation for scale. Keep accountability with the publishing team.

Ignoring the commercial journey

A useful answer should not trap the reader in an information loop. If the reader needs a tool, template, audit or workflow, provide a relevant next step.

For teams publishing at scale, SEO Letters offers a direct route from research to structured draft to published page, including integrations for WordPress, Shopify and webhooks. You can explore the application at app.seoletters.com.

PAA Optimisation Checklist for Editors

Before publishing, review the page against this checklist:

The main question and search intent are clearly defined.
The first answer block responds directly to the query.
PAA questions are grouped by intent, not just wording.
Each important question has one primary URL.
Competing pages have been checked in Search Console.
The page has a distinct purpose within the topic cluster.
Headings describe the questions and information beneath them.
Claims are supported with evidence or clearly qualified.
Examples are relevant to the target audience.
Internal links point to the correct topic owners.
The canonical tag and indexability settings are correct.
Schema reflects visible content.
The page includes a useful next step.
Product claims are accurate and current.
The page has a planned review date.

Key Takeaways

PAA visibility and GEO are connected through the quality of your answers and the clarity of your information architecture. AI search systems need content they can interpret, verify and use without stripping away the meaning.

The most important principles are:

Map questions before creating pages.
Assign one clear URL to each major search intent.
Write direct, self-contained answers.
Build topic clusters without repeating the same article.
Use internal links to communicate page ownership.
Support claims with evidence and transparent explanations.
Measure both search visibility and business outcomes.
Refresh content when questions, competitors or search behaviour change.

Keyword cannibalisation is often a symptom of an unmanaged publishing workflow. If your team keeps adding articles without a content map, the problem usually becomes larger. A structured system helps you cover more questions while keeping each page focused.

Start Building a More Consistent AI Search Content Operation

If you are publishing manually, the hardest part is rarely writing one article. It is coordinating research, search intent, topic clusters, internal links, schema, images, publishing and ongoing refreshes across dozens of pages.

SEO Letters is designed for that entire process. You can bring your own AI keys, route different stages to Gemini, OpenAI or Claude, configure a brand voice, generate content in 21 languages and set campaigns to run on a schedule. Its performance dashboard also helps you see how published content is performing, while refresh campaigns keep existing pages useful.

If you’re trying to improve People Also Ask coverage, reduce keyword cannibalisation and build a more dependable GEO programme, start with the SEO Letters app. For questions about the right workflow or campaign setup, use the rightbar as the contact path.