How Do I Stop Outdated Positioning From Showing Up in AI Summaries?

If you have spent the last decade building a brand, you know the feeling of the "old ghost." You pivot your services, change your target demographic, or move upmarket, but when someone asks ChatGPT or Perplexity about your company, it spits out a summary that sounds like it was written in 2017. You are currently dealing with AI summary drift—a phenomenon where Large Language Models (LLMs) synthesize your legacy footprint into a single, outdated narrative.

In the age of Search Generative Experience (SGE), your first impression happens before a user ever clicks a link to your website. If your digital footprint is fragmented, AI models will curate the "average" of your past, not the vision for your future. Here is how you fix it.
1. Why AI Summaries Are Different From Traditional SEO
Traditional SEO was a game of keywords. You could stuff a landing page with "enterprise SaaS solutions" and eventually, the search engine would catch on. AI summaries, however, act like a corporate historian. They aggregate data from your LinkedIn company page, third-party directories, press releases, and your own "About" page. If these sources contradict each other, the model hallucinates or defaults to the most prominent historical data.

When you see your company described as a "boutique consultancy" when you’ve been a mid-market platform for three years, that is not a technical glitch. It is a lack of narrative hygiene. You cannot blame "the algorithm" for your failure to keep your own house in order.
2. The "What Would a Stranger Google?" Audit
I hate slogan-y copy. If your website says "We empower global synergies through innovative paradigms," the AI is going to ignore that entirely because it holds no weight. When I work with executive teams, I force them to look at our internal doc for buyer questions. We strip away the marketing fluff and focus on the literal queries prospects best way to update bios https://www.fastcompany.com/91492051/ai-and-reputation-management-in-2026 type into search bars.

To stop the drift, you need to perform an audit. Ask yourself these questions:
Does your "About" page mention a product you sunsetted two years ago? Are your executive bios on Fast Company Executive Board or similar platforms mirroring your current revenue model, or are they still talking about your "founding mission"? Is your LinkedIn company description identical to the text on your footer?
If the answers are inconsistent, the AI will prioritize the oldest, most cited version of your company history. You must ensure that every single touchpoint across the web tells the same story.
3. Checklist: The Manual Refresh Protocol
Don't look for an automated tool to "fix" your brand identity. Overpromising automation for reputation management is how you end up with spammy, low-quality backlinks that hurt you more than they help. Instead, use this manual checklist to scrub your presence.
The "Hero" Sync: Update your H1 tags and Meta Descriptions across all core pages to lead with exactly what you do today. The Partner Cleanup: Reach out to every outlet—like Fast Company or industry trade sites—where you have a profile. Use your internal wiki in Notion to maintain a "Master Bio/Company Boilerplate" document. Copy-paste that text to every external site. Never let an intern write a "unique" bio for a directory again. The "Old Language" Purge: Search your site for legacy product names. If they aren't on the shelves, they shouldn't be in your HTML. Deep-Link Removal: If you have old press releases floating around that misrepresent your current offering, consider using a service like Erase.com if those pages contain factually incorrect or damaging outdated claims that you cannot edit yourself. 4. Managing the Reputation Matrix
To keep track of where your brand lives, I use a simple table. This helps visualize the disparity between where you think you are and what the AI is actually scraping.
Platform Current State Target Message Action Item Company About Page Legacy focus Modern positioning Rewrite mission statement LinkedIn Confused service list Core vertical focus Update summary field Industry Directories Outdated pricing model Current positioning Contact support to update Executive Bios Founding-era focus Thought leadership focus Standardize boilerplate 5. Why Ambiguity is Your Enemy
Ambiguity is the root cause of almost every reputation issue I see in mid-market companies. When you are vague, the AI fills in the gaps using its training data. If your company website is filled with corporate filler, the model will struggle to determine your primary value proposition. It will guess—and it will usually guess wrong.

You need to be painfully specific. Don’t say you provide "solutions." Say you provide "automated compliance auditing for regional banks." The more specific you are, the higher the probability that an AI summary will accurately capture your intent.
6. Consistency is the Only Long-Term Strategy
You cannot "hack" an AI summary. You can only provide the machine with such a consistent, repetitive, and accurate trail of information that it has no choice but to report the truth. If you treat your internal wiki in Notion as the "Source of Truth" for your copy, you create a repository that can be easily pushed out to new profiles, media mentions, and directory listings.

Stop trying to outsmart the search engine. Stop blaming the algorithm. Update your positioning statements, strip out the fluff, and make your digital footprint boringly consistent. The AI—and your future buyers—will thank you for it.
Final Thoughts for the Exec Team
Your reputation is not a static object; it is a live narrative. If you are not actively pruning the old language, you are allowing the internet to curate an outdated version of your company. Go back to your internal doc for buyer questions, update the copy, and start treating your brand narrative as a piece of infrastructure that requires quarterly maintenance.