This research examines whether manufactured expertise can fool AI search engines, using the MyJobQuote scandal where 11 fictional "experts" were quoted across 600+ UK media articles as a test case. When we queried nine AI models with topic-based questions like "Who are the UK's leading experts on home security?", zero fake personas appeared. But when asked directly whether specific fake names were recognised authorities, models failed 29.5% of the time, sometimes confidently inventing career histories for people who don't exist. The contrast with genuine experts is stark. Real authorities in SEO like Jason Barnard dominate AI recommendations because they've built deep, corroborated brand entities; consistent profiles, third-party validation, years of published work. The takeaway for SEOs and marketers: AI doesn't rank pages anymore, it recommends entities. You can trick a model into recognising a name, but you can't trick it into recommending that name ahead of genuine authorities. Brand building isn't optional - it's your moat.
SEO Forecasting
Make data-driven ROI predictions to build your business case for investment in SEO
Traffic, value and conversion forecasts at keyword level

Hidden rankings within AI Overviews
Use the data you have in the platform to forecast the probable impact of your SEO campaign on organic rankings, visits and conversions and show stakeholders what SEO could deliver for your business.

Model different scenarios
Create realistic scenarios by using sliders to change forecast rankings and by showing how the result will be achieved over time, based on how long you feel it will take you to achieve these higher rankings. Present high, medium and low scenarios to manage expectations and inspire confidence.

Calculate your SEO ROI
It’s so simple. Simply drag the sliders and use our simple or advanced SEO forecasting calculator. Make assumptions around custom click-thru rate curves for branded and non-branded terms, estimated media value (PPC savings) and forecast organic visitors and sales conversions.

Prioritise Opportunity
Focus resources where the value is. Use grouped keywords to evaluate and prioritize opportunities and invest your team’s resources in the most valuable activities. Spend less time forecasting and more time doing!
Simple SEO ROI Forecasting
You control the simple forecast by operating the two sliders to the top right of the table.

Advanced SEO ROI Forecasting
Our software attempts to provide more realistic results by applying a model when generating forecasts. This model can be customised if needed, and offers three scenarios:

Questions about how to forecast for SEO?
How do I build an SEO business case?
SEO forecasts are typically made using standard or customised click-thru-rate models built on your keyword ranking data and search volume data for every keyword.
You will need:
1. Up-to-date keyword ranking data for the keywords and pages that interest you.
2. Search volumes for these keywords.
3. A standard CTR% model to apply to the search volumes for each keyword based on how well you are ranking for that keyword. You can of course customise this for brand/non-brand keywords or at a keyword or keyword tag level.
4. Business metrics from Google Analytics or elsewhere, that show you how many and the value of the sales or leads generated from organic search.
5. A model (typically in Excel) that estimates your current organic visibility and allows you to produce estimates based on you making assumptions and estimates of how much you can improve rankings by and by when.
6. You can do this manually by gathering data from a keyword ranking tool like Authoritas, Google AdWords (or other suppliers of Search Volume data, Google Analytics (or another analytics provider) and Google Search Console.
7. Alternatively, you can automate this process by choosing an SEO platform with in-built sophisticated SEO forecasting and ROI calculators.
How do I use an SEO ROI Impact Calculator?
Make realistic forecasts. No website ever gets to number 1 ranking for all their non-brand keywords!
We like using the Authoritas “Ladder Principle” – this allows you to make forecasts assuming that you can improve to the average ranking positions of the sites above you, not necessarily straight to number 1.
This caters for an incremental improvement in rankings as opposed to an overnight spike in rankings and is consequently more realistic than a lot of SEO forecasts which are made assuming the very best-case scenario (the ‘impossible scenario’).
Discover for yourself why we're different to other SEO tools
There's a few things that we do really well that might just make a difference to the success of your next SEO campaign.
Featured Posts from our blog
Expert content from our team and our friends. Read our original SEO research studies, news about our software, algorithm updates, SEO advice and opinion.
Introducing our new free tool to convert exported Google Search Console keyword data into AI-ready question prompts, going beyond the traditional regex approach of filtering for "how", "what", "why" queries. The tool analyses up to 1,000 GSC queries, automatically generates natural language prompts, and supports multilingual output with English translation options - making it particularly useful for international SEO teams. The core argument is that since no AI platform currently releases reliable first-party prompt volume data, starting with keywords where you already have proven Google performance (impressions and clicks) provides a more meaningful baseline for AI search optimisation than guessing at prompt demand.

Analysis of 1.5 million ChatGPT conversations and 10,000 Grok AI interactions reveals a fundamental shift in how people use AI, from simple search-style queries to complex, conversational interactions, with ChatGPT usage flipping from 47% work-related to 70% personal use since launch. The research shows distinct platform personalities emerging: ChatGPT users favour direct, task-oriented prompts (65% simple to medium complexity) for practical advice and writing help, while Grok users engage in longer, exploratory discussions (55% complex prompts, 83.8% open-ended questions). Crucially for SEOs, this data demonstrates that optimising for AI visibility now requires moving beyond keyword-based strategies to conversation-based optimisation that supports natural language queries averaging 30+ words.