What Google's Expert Advice Panels Mean for AI SEO

Google's new public discussion and "Expert Advice" style features are a sign that AI SEO is not only about what you publish on your own website. In May 2026, Google announced updates to AI Mode and AI Overviews that can surface perspectives from public online discussions, communities, and social platforms when those perspectives help answer the query. For brands, the message is simple: your reputation outside your website can influence how AI search understands you.

The short answer is that AI SEO now needs community trust signals. Content still matters, but reviews, forum mentions, customer language, expert commentary, and third-party validation are becoming harder to ignore.

Why Expert Advice Changes the AI SEO Conversation

For years, brands treated the website as the main SEO asset. The website still matters, but AI search systems increasingly look across the web for context. If Google can show public discussion perspectives in AI Mode or AI Overviews, then community conversations become part of the discovery layer.

This is especially important for categories where buyers want lived experience:

• Software comparisons
• Product recommendations
• Ecommerce product quality
• Local services
• Agencies and consultants
• Health, finance, and legal-adjacent decisions
• High-consideration B2B purchases

People do not only want polished brand copy. They want to know what customers, users, specialists, and communities say when they are not on your landing page.

What This Means for Brands

The old SEO question was, "Can our page rank?"

The new AI SEO question is, "Would an AI system trust our brand enough to cite, compare, or recommend us?"

That changes the work. A strong AI SEO strategy should include owned content, technical SEO, structured data, and external trust building. A brand with good content but no external validation may struggle in AI-driven comparison journeys.

Where Community Signals Come From

Community signals can appear in many places:

This does not mean brands should manufacture fake discussion. That is risky, low-quality, and likely to backfire. It means brands should earn real conversation by doing useful work, asking customers for reviews, publishing proof, and contributing expertise where their audience already spends time.

How to Build AI-Search-Friendly Trust

Start with your proof assets. Do you have case studies, before-and-after examples, review summaries, industry quotes, and customer stories? If not, build them.

Then map those proof assets to buyer questions:

• "Is this agency legit?"
• "Is this product worth it?"
• "What are the downsides?"
• "How does this compare to alternatives?"
• "Who has used this successfully?"
• "What should I watch out for?"

The strongest AI SEO content answers these questions honestly. It does not hide trade-offs. It gives the buyer enough context to make a decision.

What Ecommerce Brands Should Do

For ecommerce brands, the biggest opportunity is product experience language. AI systems that summarise product recommendations may look at product metadata, reviews, public commentary, and comparison content. Your product pages should not rely only on product descriptions.

Add content that reflects how customers actually evaluate the product:

• What problem does it solve?
• Who is it best for?
• What materials, sizing, fit, specifications, or use cases matter?
• What do reviews consistently mention?
• What alternatives do people compare it with?
• What questions come up before purchase?

This helps shoppers and gives AI systems more precise context.

What Service Businesses Should Do

Service businesses should build topical proof. If you want to be known as an AI SEO agency, publish examples of AI SEO audits, prompt visibility frameworks, ecommerce growth playbooks, content refresh processes, and measurement methods.

Then make sure your brand is present outside your site. That could include interviews, LinkedIn commentary, podcasts, partner articles, directories, and customer review platforms.

If your team wants a practical plan for building this kind of AI-search-ready authority, contact Search Results and book a demo.

Mistakes to Avoid

Do not treat community SEO as spam. Posting thin promotional comments into forums is not a strategy. Neither is asking AI tools to generate fake reviews.

Avoid these mistakes:

• Creating fake discussion
• Over-optimising brand mentions
• Ignoring negative feedback
• Publishing generic thought leadership
• Hiding pricing, process, or limitations
• Using structured data that does not match visible content

AI search rewards clarity and trust. Manipulation can damage both.

How to Audit Your Brand's Public Trust Layer

Before trying to influence public discussion, find out what already exists. Search your brand name, product names, founder names, and service terms across Google, Reddit, YouTube, LinkedIn, review platforms, industry directories, and comparison queries. Look for the words real people use, not only the ratings they leave.

Group the findings into themes:

• Positive recurring claims
• Negative recurring objections
• Questions buyers keep asking
• Competitors mentioned in the same conversation
• Use cases customers care about
• Language that differs from your website copy
• Missing proof that people expect to see

This audit often reveals a gap between how a brand describes itself and how buyers describe the problem. That gap is useful. It tells you what your content, product pages, FAQs, sales material, and review strategy need to answer.

For example, an ecommerce brand may describe a product as "premium", while customers talk about fit, delivery speed, durability, packaging, sizing, or whether it works for a specific use case. A service business may talk about "growth", while buyers ask about timelines, deliverables, reporting, and whether the agency has experience in their industry.

Turning Public Trust Into Better Content

The goal is not to copy forum comments into your website. The goal is to understand the questions and proof points that matter, then answer them better than competitors do.

If customers repeatedly ask whether a product is suitable for beginners, create a visible section about beginner fit. If buyers compare your service with hiring in-house, write a clear comparison. If reviews mention delivery, returns, support, or quality, make those details easier to find.

This is where AI SEO and conversion optimisation overlap. The same improvements that help AI systems understand your brand also help humans decide whether to trust you.

Why Owned Content Still Matters

Community signals do not replace owned content. They make owned content stronger when the two agree. If public reviews say customers love the product for travel, but the product page never mentions travel, you are wasting a useful signal. If your LinkedIn content positions the founder as an AI SEO expert, but the website has no deep AI SEO resources, the entity connection is weaker than it should be.

Owned content is where you organise the story. Public signals are where buyers and AI systems find supporting evidence. The best AI SEO strategy makes both work together.

What to Measure

Track brand mentions, review volume, review themes, referral traffic, branded searches, AI answer appearances, and conversion rate changes on pages updated with proof. Also run manual prompt checks. Ask AI tools questions that a real buyer would ask and record whether your brand appears, how it is described, and which competitors appear instead.

This does not need to be perfect to be useful. Even a monthly prompt scorecard can show whether your authority is improving.

FAQs

What are Google's Expert Advice panels?

They are AI search features that can surface public discussion perspectives, community comments, or expert-style viewpoints when Google believes those perspectives help answer a query.

Does this mean Reddit SEO is now mandatory?

No. The bigger lesson is that off-site trust matters. Reddit may be one source, but reviews, forums, YouTube, LinkedIn, press, and customer proof can also influence brand perception.

Should brands post on forums for AI SEO?

Brands should contribute where they can be genuinely useful. Promotional posting is unlikely to build trust. Helpful expert participation can.

How does this affect ecommerce SEO?

Ecommerce brands should strengthen reviews, product comparison content, buyer guides, and product metadata. AI shopping journeys often depend on trust and specificity.

How does this affect agencies?

Agencies need proof. AI systems and buyers both need to understand what the agency does, who it serves, and why it should be trusted.

What should I do first?

Audit your brand mentions, review themes, comparison queries, and customer objections. Then build content that answers what people are already asking.

Source Notes

• Google: 5 new ways to explore the web with generative AI in Search
• Google Search Central: AI features and your website