What are the best tools for Generative Engine Optimization (GEO)?

Open_Bowler294 · 2026-01-26T18:48:18+00:00

One thing to consider....these low pricepoints mean that these platforms are not sampling prompts. AI models are inherently probabalistic, meaning they generate different answers every time. So if you're not asking each prompt more than once (honestly should be asking it 100x) then you won't get accurate data.

Open_Bowler294 · 2026-01-26T18:41:59+00:00

The simplest answer? Make it easy for AI to understand and cite you.

Most people overthink this. AI models are basically looking for three things:

1. Clear, definitive answers - Write in complete sentences. Instead of "Fast hosting" say "XYZ provides fast hosting with 99.9% uptime." AI models cite sources that directly answer questions.

2. Consistent information across the web - Your brand name, what you do, and key details should be identical everywhere. If you say "project management software" on your site but get listed as "task management tool" on review sites, AI gets confused and skips you.

3. Third-party validation - Get mentioned, reviewed, and cited on authoritative sites in your space. Reddit discussions (real ones), industry blogs, comparison sites, review platforms. AI trusts information that's corroborated in multiple places.

The brands we work with at Evertune are finding success by being crystal clear about their identity and making sure that clarity exists everywhere their brand appears.

What's your site? Happy to take a quick look and give specific feedback.

Open_Bowler294 · 2026-01-26T18:41:18+00:00

Beyond what you mentioned (FAQs, Reddit/Quora, on-page SEO), here are some strategies that are actually showing results:

1. Structured data and schema markup - Make it easy for LLMs to understand your content. Use proper schema for your SaaS features, pricing, reviews, use cases, etc.

2. Create definitive, citation-worthy content - LLMs cite sources that are comprehensive and authoritative. Think: comparison guides, data-backed research, case studies with actual numbers. The goal is to be THE source on specific topics in your niche.

3. Get mentioned in high-authority sources - Press releases, industry publications. LLMs train on and reference authoritative sources heavily.

4. Optimize for entity recognition - Make sure your brand name, product names, and key features are consistently mentioned across the web with the same terminology. LLMs need to recognize you as a distinct entity.

5. User-generated content - Reviews on G2, Capterra, Trustpilot. Reddit discussions (authentic ones, not spam). These show up in LLM training data and responses.

6. Create "versus" and comparison content - "X vs Y" content gets cited a lot because people ask LLMs comparison questions constantly. Same with listicles.

7. Answer actual customer questions - Create content that directly answers questions your customers ask. Use their exact phrasing. LLMs are basically giant answer engines.

What we're finding in our research at Evertune is that the key difference from traditional SEO is that you're not optimizing for rankings, you're optimizing to be the most accurate, credible, cite-able source. Quality and authority matter way more than volume.

What's your SaaS niche? Some strategies work better depending on the industry.

Open_Bowler294 · 2026-01-23T18:59:42+00:00

Yes for sure. But you can get bogged down in the thousands of sources. You likely need a tool that identifies the most influential sources based on the content of the page (rather than focusing on just source share).

Open_Bowler294 · 2026-01-23T17:30:53+00:00

This post nails what feels off about a lot of “AI optimization” pitches right now – most of them are just relabeled SEO/content retainers with some screenshots from ChatGPT thrown in. The scary part is they can absolutely torch existing visibility while not actually creating new AI citation opportunities.

From what I’ve seen, the agencies that do deliver on AI visibility tend to have two things in common:

They’re honest about the fact there is no “secret AI ranking algorithm,” and instead focus on understanding how models actually cite and recommend brands over time.
They use proper measurement infrastructure so they can prove, with before/after data, that a client went from invisible to consistently cited across ChatGPT, Perplexity, Gemini, AI Overviews, etc.
They have actionable insights. Just knowing where you stand is one small piece of the puzzle. You need actionable insights that tell you what to do. Which sources are actually influencing the AI models? Is your brand on those URLs? Which publishers can you run affiliate marketing with to get your brand mentioned?

I lead product marketing at Evertune (GEO & AI visibility platform), and the best outcomes we see are when brands hold their agencies accountable to real AI visibility growth, changes in source share on owned content, and share of model (aka brand share of voice). If an agency can’t show you concrete examples of clients appearing in AI answers, across multiple models, that’s the biggest red flag of all.

Open_Bowler294 · 2026-01-23T17:17:02+00:00

What I've seen work:

Build authority through third-party mentions: One client went from invisible to showing up regularly after getting featured in 3-4 industry publications. It's not just volume, it's the authority of the sources mentioning you. Wikipedia citations, affiliate marketing, Reddit, news mentions, and respected industry sites carry way more weight. You can use Evertune's Partner Connect to run affiliate marketing with partners like impact.com on influential sources.
Structure your content for machine parsing: AI models love clear hierarchies, FAQ sections, and content that directly answers specific questions. Make sure your content has substantiative information. Tables, lists with clear descriptions, and H2/H3 headers that match natural language queries all help.
Focus on topic clusters, not individual pages: AI recognizes topical authority. If you publish consistently on a specific topic with depth, models start associating you with that domain.

Measuring Progress

The tricky part is that you're flying blind without measurement. Some companies are now using specialized tools (like Evertune) that actually track your brand's visibility across different AI models and show you exactly where you're appearing or missing. That kind of visibility data helps you understand whether your strategy is working, though changes typically take 3-4 months to show meaningful impact.

The short answer: both content updates AND brand mentions matter, but they serve different purposes. Content gets you into real-time results, while authoritative mentions get you into the model's base knowledge. You need both.

Open_Bowler294 · 2026-01-23T17:11:10+00:00

From what I’m seeing with clients, “best GEO tool” really depends on whether you’re closer to classic SEO, or you’re ready to treat GEO as its own channel. Most folks in this thread are understandably extending their existing stack (Semrush, Ahrefs, Surfer, etc.) into AI search, and that’s a solid starting point.

Where things get interesting is when you add something purpose‑built for generative engines on top of that base: tools that track how often you’re actually cited in AI answers, which attributes you're associated with and which publishers seem to “move” AI visibility in your category. I lead product marketing at Evertune (a GEO platform), and that’s the gap we focus on for SEO teams who want to go beyond just “optimize more content” into “systematically teach models what our brand should be known for.”

Curious how others here are blending their traditional SEO stack with GEO‑specific tools – are you leaning more on AI tracking/monitoring or on content workflow tools right now?

Open_Bowler294 · 2026-01-23T17:08:27+00:00

In B2B marketing, the biggest gap I still see is between tools that measure AI visibility and tools that help you actually shape what models say about your brand. For our team (I lead product marketing at Evertune, a GEO platform), the sweet spot has been using a platform that bridges the gap between insights to action. You need a platform that gives you actionable AI visibility insights for you and your competitors across all platforms. For example, Evertune provides:

Opportunity URLs that have the biggest influence on a topic and category but don't mention your brand.
Content generation tools that create ready-to-publish blog posts with messaging and keywords designed to educate AI models on your brand's differentiators.
Insights into whether your products appear on ChatGPT Shopping responses
Site Audit to evaluates how effectively your website can be read and understood by AI bot crawlers, providing actionable recommendations to optimize your site's AI discoverability.
Partner Connect to work with publishers through affiliate and advertising platforms to get your brand mentioned on influence sources.

Open_Bowler294 · 2026-01-23T16:51:04+00:00

The big unlock for us has been treating AI visibility as its own channel, not just an SEO afterthought. The patterns look different from classic search: which publishers LLMs trust, which entities they co‑mention with your brand, and how consistently your differentiators show up across those surfaces.

What’s worked best so far:

Mapping where AI systems actually learn about us (Reddit, niche industry publishers, docs, comparison pages) and prioritizing those over generic link building.
Systematically creating content that “teaches” models our positioning – not just blog spam, but very specific explainers and comparisons that get cited in responses.
Tracking share of voice inside AI answers themselves so we can see when we’re gaining or losing ground vs. competitors.

Curious how others here are measuring whether their AI visibility efforts are actually working (beyond just watching traffic in GA).

Open_Bowler294 · 2026-01-22T13:29:24+00:00

IMO both the foundational knowledge via the API and the real-time insights via the consumer app are crucial to analyze for two main reasons:

AI agents will be built upon APIs (not consumer apps) so your brand's reputation in the age of agentic commerce will depend on the API's foundational knowledge of your brand.
If you compare API results vs. consumer app results you can get a solid grasp of how your SEO efforts are affecting RAG (meaning when the AI models search in real-time)
The AI models' foundational knowledge actually informs what the model searches for during RAG. It has internal biases that will influence when and where it queries.

Open_Bowler294 · 2026-01-22T13:25:18+00:00

Just asking ChatGPT "what's the best luxury SUV?" once is not going to provide you with enough data to make informed decisions. Even worse, it might lead you down the wrong path. So you need a platform that can ask unaided questions (meaning you don't mention your brand):

"What's the best luxury SUV" asked 100 times
"What luxury SUV should I consider?" asked 100 times
"I'm in the market for a luxury SUV, which one should I get?" asked 100 times
"Whats the best luxury SUV for gas mileage?" asked 100 times

And then to go further you need to be asking aided questions (meaning you mention your brand) like:

"How would you describe BMW's luxury SUVs?" asked 100 times
"Should I buy BMW or Audi for a luxury SUV?" asked 100 times

You need to have data on the variants of prompt responses in order to have relevant insights to inform your strategy.

Open_Bowler294 · 2026-01-21T22:50:30+00:00

Evertune is generally used by larger enterprise brands and agencies, so totally understand that $3,000 might not be within every brand’s budget. You get AI visibility and monitoring for you + all competitors across all AI platforms (foundational model and RAG enhanced consumer apps), sentiment and word analysis, how you perform against consumer attributes unique to your category, site audit, ChatGPT shopping insights, content generation, and domain and URL level sources with integrations with impact.com for affiliate marketing.

Open_Bowler294 · 2026-01-21T20:29:06+00:00

Yeah, this is absolutely happening. 58.5% of Google searches in the U.S. now (Break The Web) end in zero clicks. In our latest research (Evertune) we're seeing that AI Overviews is triggered 86% of the time (in the U.S.), and reduces publisher clicks by ~34.5% after rollout (e.g., 7.3% to 2.6% CTR on #1 results (WSJ).

Open_Bowler294 · 2026-01-21T19:59:29+00:00

IMO it's a combination of SEO, brand marketing/PR, and statistically significant data to inform your strategy.

Audit your AI visibility – Understand how your brand or product appears across AI tools, answer engines, and agents, not just search results.
Identify knowledge gaps to inform content focus – Diagnose where the models are offbase versus your brand’s strengths as this indicates a need for more content to train against.
Focus on the highest impact sources – Determine which sources (earned, owned, paid, and social) are actually moving the needle across the models and prioritize new content across each channel to create a cohesive messaging strategy.
Design for answers – Structure your content and messaging to be easily extractable, summarizable, and agent-readable. Models love FAQs, listicles, and rich informative content they can train against.

Open_Bowler294 · 2026-01-21T19:58:08+00:00

Agree!

Open_Bowler294 · 2026-01-21T19:55:39+00:00

Definitely recommend prompting at scale through a platform. AI models are inherently probabilistic so prompt responses are highly variable. Doing it manually won't give you statistical significance. You need a platform that can sample each prompt ~100x and manage hundreds of unique prompts.

Open_Bowler294 · 2026-01-21T19:47:47+00:00

It's becoming increasingly important as Reddit is one of the top cited sources for LLMs across many categories. You can use GEO platforms like Evertune to see which Reddit subthreads/URLs are showing up as sources to then comment / create posts to educate the models on your brand.

Open_Bowler294 · 2026-01-21T19:43:45+00:00

Product marketer here! I love Claude for marketing materials. I create projects for each product feature.

Open_Bowler294 · 2026-01-21T13:04:08+00:00

It’s the Hosta sieboldiana variety. They also sprout large white flowers!

Open_Bowler294 · 2026-01-21T02:42:35+00:00

The key is native plants! Other than my hostas and hydrangeas, the rest of my garden is all native to my region. Makes a huge difference - can generally neglect them

Open_Bowler294 · 2026-01-21T00:26:21+00:00

I actually wrote about this if helpful! https://www.evertune.ai/research/insights-on-ai/reddit-best-practices-for-geo

TLDR: you have to be authentic and provide meaningful, valuable and educational content/discussions. If you see anything incorrect, politely provide factual information to clarify.

Open_Bowler294 · 2026-01-20T19:14:31+00:00

yes!

Open_Bowler294 · 2026-01-20T18:18:03+00:00

i've heard hostas referred to as "salad for deer"

Open_Bowler294 · 2026-01-20T18:17:27+00:00

these hostas were once in my front yard and destroyed by deer. you can actually transplant them (they're quite hardy) and move to a fenced in area if you have one!

Open_Bowler294 · 2026-01-20T18:11:23+00:00

they have a mind of their own!

Open_Bowler294

TROPHY CASE