Tune Your Content for AI

Hey there,

I recently came across Linkedin post by Rand Fishkin, cofounder of Sparktoro that got me thinking: Do all of us have the same output from LLMs.

The comment section was full of mixed stories. 

Some folks said they got identical outputs, word-for-word. 

Others said they got completely different responses; different tone, structure, even brand mentions.

Naturally, our content team couldn’t resist. So we ran our own test.

We gave three prompts across two paid ChatGPT accounts and one free account at the same time

The results were wildly different.

Some answers overlapped in structure. Others had completely different strategies.

But here’s what we learned:

✔️ LLMs don’t have one fixed answer. Unlike Google, where there’s a clear #1 result, AI outputs shift based on phrasing, timing, and even which model you’re on.

✔️ Visibility is probabilistic. You can’t guarantee a mention every time. The best you can do is tilt the odds in your favor.

✔️ Consistency is the game. Brands that feed LLMs with strong, authoritative signals through content, structure, and credibility show up more often across different outputs.

So, the real question isn’t “How do we rank #1?” anymore.

 It’s “How do we show up consistently in AI answers across conversations?”

 So how do you influence the odds?

Instead of shrugging and moving on, we asked: what would it take to actually show up more often in AI answers?

Here’s the process we started using (and you can follow too)

We came up with a structured approach to improve visibility across AI engines.

Here’s the process we’ve started using (and you can follow too):

Discovery — Finding GEO Opportunities

💡 Identify geo-specific queries where AI engines are already pulling synthesized answers.

💡 Use Google Search Console and Ahrefs to find queries where you rank in the Top 20 for geo-relevant terms.

💡 Check Perplexity and ChatGPT with browsing to identify queries that are already pulling multi-source answers.

💡 Focus on informational queries like “Best SaaS demand gen agencies” and commercial intent queries like “ABM strategy examples.”

Content Architecture for GEO

💡 Build content that establishes clear topical authority clusters for AI engines to understand and cite.

💡 Create pillar and cluster structures around geo-targeted topics (e.g., ABM, demand gen, digital marketing).

💡 Ensure clean and scalable URLs like /saas-demand-generation/strategies/ and add author bios with location-specific expertise to boost E-E-A-T.

💡 Focus on regional SaaS growth topics, such as “ABM for SaaS in [City]”, to make content more relevant for local search.

GEO-Optimized Briefs (Content Layer)

💡 Optimize content for AI engines and GEO-citation.

💡 For each content piece, include a 50-80 word AI-answer snippet at the top.

💡 Use semantic keywords related to the region, and structure content in Q&A format.

💡 Add schema markup (FAQ, Article, HowTo) and internal links with geo-targeted anchors for better indexing.

💡 Include FAQ sections like "What is the best ABM strategy for SaaS?" for better AI content extraction.

AI-Engine Readiness (Technical Layer)

💡 Ensure content is crawlable and machine-readable for AI engines.

💡 Add llm.txt for AI crawlers, and optimize Core Web Vitals for better crawlability and AI visibility.

💡 Regularly update content with geo-specific examples to maintain freshness and relevance for AI.

💡 Ensure structured data validation for geo-specific schemas, such as FAQ and Article schema to improve AI citation.

Measurement & Iteration

💡 Track and optimize AI citations and geo-targeted traffic.

💡 Measure citations in ChatGPT, Perplexity, and SGE, and analyze traffic from geo-relevant keywords.

💡 If citations drop, refresh content with new geo-specific data, and analyze competitor content for improvements.

💡 Quarterly refresh of key geo-targeted pages with updated examples and geo-optimized schema.

Our GEO Results

After applying the process, we saw clear improvements in AI visibility:

1. Our brand appeared consistently in AI-driven answers.

2. AI engines pulled our content more often for related queries.

3. Consistent optimization led to better brand recognition across multiple prompts.

So, why does this matter now?

Generative AI doesn’t generate random answers.

It leans on signals, authority, structure, backlinks.

By feeding it the right signals consistently, we can tip the scales so we show up more often.

That’s the real shift: visibility isn’t about chasing “position #1” anymore.

For B2B marketers, the game has changed.

It’s about building enough authority, trust, and consistency so your brand becomes part of the conversation, across different prompts, contexts, and AI outputs.

The future of visibility isn’t a single click.

It’s recurring presence in the answers your buyers see, wherever and however they ask. 

Until next time,

Karthick Raajha.