GreshamTech: How We Grew AI Overview Visibility by 255% in Top 10 Placements
We have built a great partnership with the Rayze team. We have been on a massive journey together, integrating two companies, mapping the new SEO landscape, and tracking an elevated level of efficiency required for PE. We challenge each other to think differently and that in turn improves our execution and performance.
Who GreshamTech is
Gresham are a financial technology business serving banks, asset managers and capital markets firms. Their software covers enterprise data management (EDM), reconciliation and regulatory reporting — technical categories where buyers are senior, considered, and increasingly starting their research inside AI tools rather than on Google.
The challenge: Gresham came to Rayze with two connected problems. Their organic visibility in core EDM and reconciliation terms was not reflecting the strength of their product, and their presence inside AI Overviews and LLM answers was inconsistent.
What we've done to achieve this
Our work with Gresham is built on one idea: good SEO is the foundation of LLM visibility. The tools evolve, but the discipline does not. We combined traditional technical SEO with AEO-specific work, delivered as one coherent strategy rather than two separate workstreams.
1. Topical authority in EDM and reconciliation
We rebuilt Gresham's content structure around the way AI tools understand topics, not just the way search engines rank pages.
- Optimised the EDM and reconciliation hub pages based on AI topic gap analysis, closing the differences between what Gresham were saying and what the LLMs expected the category authority to cover.
- Built internal linking so related pages are connected on meaning, not guesswork.
2. AI Overview and LLM optimisation
We treated AI Overviews and LLM answers as a distinct surface, with their own signals.
- Identified the prompts Gresham's buyers were actually using in ChatGPT, Claude, Gemini and Perplexity, then shaped content to earn citations in those answers.
- Built a prompt-tracking dashboard so we could monitor which questions Gresham were being mentioned in and where the gaps were.
3. Wikipedia optimisation
Wikipedia has an outsized influence on LLM output. We are in the process of updating Gresham's Wikipedia page to make the EDM expertise unambiguous, specifically to strengthen ChatGPT visibility where the signal is strongest.
4. Technical SEO fundamentals
Underneath all of this, we held the line on the fundamentals. Schema, crawl health, internal architecture, page experience. None of the AEO work compounds without them.


Results
AI Overview visibility
- +47% growth in AI Overview keywords — comparing Q1 2025 to Q1 2026.
- +255% growth in top-10 AI Overview placements — from 80 to 284, showing genuinely competitive placement rather than surface-level visibility.
Sessions from AI platforms
Comparing Q1 2025 to Q1 2026:
- ChatGPT: +217.8%, with consistent quarterly growth.
- Gemini: +130%.
- Perplexity: stable, with Gresham ranked #1 for brand visibility against competitors on the platform.
Traditional search performance
- EDM keyword footprint grew from 40 to 1,350 queries — the foundation that made everything else possible.
- #1 ranking for enterprise data management software in the UK and #3 in the US.
Key takeaways
What made this work:
- SEO as the foundation of AEO. The 47% rise in AI Overview keywords and 255% rise in top-10 placements did not come from AEO tactics alone. They came from the underlying SEO — topical depth, technical health, content quality — being strong enough for LLMs to trust.
- One strategy, not two. We did not run SEO and AEO as separate workstreams. Every decision considered both surfaces at once.
- Meaning-based internal linking. Using vector embeddings rather than keyword matches helped LLMs understand how Gresham's content fits together as a body of expertise.
- Prompt tracking as a measurement layer. Knowing which prompts Gresham appeared in, and which they did not, turned AEO from guesswork into something we could manage weekly.
- Wikipedia treated as infrastructure. For any brand where LLM visibility matters, a well-optimised Wikipedia presence is no longer optional.
- Freshness matters more than it used to. Copilot and several other models favour recently updated content, so our editorial cadence was built around keeping key pages current.
For specialist B2B brands, AI search is not a separate problem from SEO. It is the next chapter of the same work. Gresham's results show what happens when both are done together, by senior people who have been doing this for over a decade.
Ready to strengthen your brand's presence across search and AI? Talk to a senior consultant at Rayze.

Client’s feedback
We have built a great partnership with the Rayze team. We have been on a massive journey together, integrating two companies, mapping the new SEO landscape, and tracking an elevated level of efficiency required for PE. We challenge each other to think differently and that in turn improves our execution and performance.

